Mungbean.bib

% Encoding: UTF-8

@Article{RobertsonAPSIMlegume2002,
  author    = {Robertson, Michael J. and Carberry, P. S. and Huth, N. I. and Turpin, J. E. and Probert, M. E. and Poulton, P. L. and Bell, M. and Wright, G. C. and Yeates, S. J. and Brinsmead, R. B.},
  journal   = {Australian Journal of Agricultural Research},
  title     = {Simulation of growth and development of diverse legume species in {APSIM}},
  year      = {2002},
  issn      = {0004-9409},
  number    = {4},
  pages     = {429--446},
  volume    = {53},
  abstract  = {This paper describes the physiological basis and validation of a generic legume model as it applies to 4 species: chickpea (Cicer arietinum L.), mungbean (Vigna radiata (L.) Wilczek), peanut (Arachis hypogaea L.), and lucerne (Medicago sativa L.). For each species, the key physiological parameters were derived from the literature and our own experimentation. The model was tested on an independent set of experiments, predominantly from the tropics and subtropics of Australia, varying in cultivar, sowing date, water regime (irrigated or dryland), row spacing, and plant population density. The model is an attempt to simulate crop growth and development with satisfactory comprehensiveness, without the necessity of defining a large number of parameters. A generic approach was adopted in recognition of the common underlying physiology and simulation approaches for many legume species. Simulation of grain yield explained 77, 81, and 70{\%} of the variance (RMSD = 31, 98, and 46 g/m2) for mungbean (n = 40, observed mean = 123 g/m2), peanut (n = 30, 421 g/m2), and chickpea (n = 31, 196 g/m2), respectively. Biomass at maturity was simulated less accurately, explaining 64, 76, and 71{\%} of the variance (RMSD = 134, 236, and 125 g/m2) for mungbean, peanut, and chickpea, respectively. RMSD for biomass in lucerne (n = 24) was 85 g/m2 with an R2 of 0.55. Simulation accuracy is similar to that achieved by single-crop models and suggests that the generic approach offers promise for simulating diverse legume species without loss of accuracy or physiological rigour.},
  doi       = {10.1071/AR01106},
  file      = {:C$backslash$:/Users/U8011054/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Robertson et al. - 2002 - Simulation of growth and development of diverse legume species in APSIM.pdf},
  keywords  = {Chickpea,Lucerne,Model,Mungbean,Peanut},
  publisher = {CSIRO PUBLISHING},
  url       = {https://www.publish.csiro.au/ar/ar01106},
}

@Book{Drew,
  author    = {Drew, Elizabeth and Herridge, David and Ballard, Ross and O'hara, Graham and Deaker, Rosalind and Denton, Matthew and Yates, Ron and Gemell, Greg and Hartley, Elizabeth and Phillips, Lori and Seymour, Nikki and Howieson, John and Ballard, Neil},
  publisher = {{Grains Research and Development Corporation}},
  title     = {Inoculating Legumes: A Practical Guide},
  year      = {2019},
  isbn      = {9781921779459},
  eprint    = {https://grdc.com.au/__data/assets/pdf_file/0023/400865/GRDC_Inoculation-of-Legumes2019LoRes.pdf},
  file      = {:C$backslash$:/Users/U8011054/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Drew et al. - Unknown - INOCULATING LEGUMES A PRACTICAL GUIDE.pdf},
  url       = {www.grdc.com.au},
}

@Manual{Rucker2020,
  title  = {{netmeta}: {Network} Meta-Analysis using Frequentist Methods},
  author = {R{\"{u}}cker, Gerta and Krahn, Ulrike and K{\"{o}}nig, Jochem and Efthimiou, Orestis and Schwarzer, Guido},
  year   = {2020},
  annote = {R package version 1.2-1},
  url    = {https://cran.r-project.org/package=netmeta},
}

@Manual{RCoreTeam2020,
  title        = {{R}: A Language and Environment for Statistical Computing},
  address      = {Vienna, Austria},
  author       = {{{R} Core Team}},
  organization = {R Foundation for Statistical Computing},
  year         = {2020},
  url          = {https://www.r-project.org/},
}

@Misc{AMAplanting,
  author  = {{Australian Mungbean Association}},
  title   = {{Planting mungbeans}},
  url     = {http://www.mungbean.org.au/planting.html},
  urldate = {2020-07-16},
}

@TechReport{Simfendorfer2011,
  author      = {Simpfendorfer, Steven and Taylor, Zeb},
  institution = {NSW Department of Primary Industries},
  title       = {Fungicide Management of Stripe Rust in Wheat: up-front vs in-crop options in 2011},
  year        = {2011},
  file        = {:C$backslash$:/Users/U8011054/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Simpfendorfer, Taylor - Unknown - FUNGICIDE MANAGEMENT OF STRIPE RUST IN WHEAT UP-FRONT vs IN-CROP OPTIONS IN 2011.pdf},
}

@Misc{FAOSTAT,
  author    = {{Food and Agriculture Organization of the United Nations.}},
  title     = {{FAOSTAT Statistical Database.}},
  year      = {2020},
  booktitle = {FAO},
  url       = {http://www.fao.org/faostat/en/{\#}data/QC},
  urldate   = {2020-07-06},
}

@Misc{aboutAMA,
  author  = {{Australian Mungbean Association}},
  title   = {{About Us}},
  url     = {http://www.mungbean.org.au/about-us.html},
  urldate = {2020-07-06},
}

@Article{Jansen2011,
  author   = {Jansen, Jeroen P. and Fleurence, Rachael and Devine, Beth and Itzler, Robbin and Barrett, Annabel and Hawkins, Neil and Lee, Karen and Boersma, Cornelis and Annemans, Lieven and Cappelleri, Joseph C.},
  title    = {Interpreting Indirect Treatment Comparisons and Network Meta-Analysis for Health-Care Decision Making: Report of the ISPOR Task Force on Indirect Treatment Comparisons Good Research Practices: Part 1 Background to the task force},
  year     = {2011},
  abstract = {Evidence-based health-care decision making requires comparisons of all relevant competing interventions. In the absence of randomized, controlled trials involving a direct comparison of all treatments of interest, indirect treatment comparisons and network meta-analysis provide useful evidence for judiciously selecting the best choice(s) of treatment. Mixed treatment comparisons, a special case of network meta-analysis, combine direct and indirect evidence for particular pairwise comparisons, thereby synthesizing a greater share of the available evidence than a traditional meta-analysis. This report from the ISPOR Indirect Treatment Comparisons Good Research Practices Task Force provides guidance on the interpretation of indirect treatment comparisons and network meta-analysis to assist policymakers and health-care professionals in using its findings for decision making. We start with an overview of how networks of randomized, controlled trials allow multiple treatment comparisons of competing interventions. Next, an introduction to the synthesis of the available evidence with a focus on terminology, assumptions, validity, and statistical methods is provided, followed by advice on critically reviewing and interpreting an indirect treatment comparison or network meta-analysis to inform decision making. We finish with a discussion of what to do if there are no direct or indirect treatment comparisons of randomized, controlled trials possible and a health-care decision still needs to be made.},
  doi      = {10.1016/j.jval.2011.04.002},
  file     = {:C$backslash$:/Users/U8011054/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Jansen et al. - 2011 - Interpreting Indirect Treatment Comparisons and Network Meta-Analysis for Health-Care Decision Making Report of t.pdf},
  keywords = {Bayesian,comparative effectiveness,decision making,indi-rect treatment comparison,mixed treatment comparison,network meta-analysis},
}

@Misc{Clarry2016,
  author    = {Clarry, Sarah},
  title     = {The rise and rise of mungbeans},
  year      = {2016},
  booktitle = {Ground Cover},
  url       = {https://grdc.com.au/resources-and-publications/groundcover/ground-cover-supplements/ground-cover-issue-125-pulse-breeding-advances/the-rise-and-rise-of-mungbeans},
  urldate   = {2020-07-06},
}

@InCollection{HigginsGreen,
  author    = {Higgins, Julian P. T. and Green, Sally},
  booktitle = {Cochrane Handbook for Systematic Reviews of Interventions},
  publisher = {The Cochrane Collaboration},
  title     = {The standardized mean difference},
  year      = {2011},
  chapter   = {9.2.3},
  edition   = {5.1.0},
  editor    = {Higgins, Julian PT and Green, Sally},
  url       = {https://handbook-5-1.cochrane.org/chapter{\_}9/9{\_}2{\_}3{\_}2{\_}the{\_}standardized{\_}mean{\_}difference.htm https://handbook-5-1.cochrane.org/chapter{\_}9/9{\_}2{\_}3{\_}1{\_}the{\_}mean{\_}difference{\_}or{\_}difference{\_}in{\_}means.htm},
}

@TechReport{FRACrisk2019,
  author      = {FRAC},
  institution = {Fungicide Resistance Action Committee},
  title       = {Pathogen Risk List},
  year        = {2019},
  abstract    = {Purpose Information is provided about the risk of pathogens to develop resistance to fungicides under specific agronomic conditions.},
  file        = {:C$backslash$:/Users/U8011054/OneDrive - USQ/Cloudstor/Journal articles/Mendeley/2019/2019{_}FRAC{_}Pathogen Risk List.pdf},
  url         = {https://www.frac.info/docs/default-source/publications/pathogen-risk/frac-pathogen-list-2019.pdf},
}

@Article{Chin2001,
  author    = {Chin, K. M. and Chavaillaz, D. and Kaesbohrer, M. and Staub, T. and Felsenstein, F. G.},
  journal   = {Crop Protection},
  title     = {Characterizing resistance risk of \textit{{Erysiphe} graminis} f.sp. \textit{tritici} to strobilurins},
  year      = {2001},
  issn      = {0261-2194},
  month     = mar,
  number    = {2},
  pages     = {87--96},
  volume    = {20},
  abstract  = {Strobilurins have been commercially used since 1996 for the control of Erysiphe graminis on cereals in Europe. Sensitivity monitoring of airborne and field samples of the pathogen detected only sensitive populations from 1996 to 1997, but in 1998 resistant wheat isolates (resistance factors of EC50s {\textgreater} 500) were found in airborne samples from three different regions in North Germany. These isolates already occurred at up to 90{\%} frequencies suggesting that resistant individuals may have high levels of fitness, and that they could have previously escaped detection with conventional methods which measure EC50s of bulk samples or which sample limited numbers of single-colony isolates per region. An alternative method measuring frequencies of resistant colonies in bulk samples at a discriminatory dose of 3 ppm trifloxystrobin relative to that at 0 ppm, showed that resistance to stobilurins can occur at frequencies which do not affect the mean EC50s of these samples. In 1999, high levels of resistance were still concentrated in parts of Germany but became detectable in other regions of the country, and in other countries including France, Belgium, UK and Denmark. Losses in performance were detected in areas with high frequencies of resistance. In a competition experiment between resistant and sensitive isolates over three generations, resistance was stable in the absence of selection; the resistant isolate appeared equal in fitness to the sensitive isolate on untreated plant material; and was rapidly selected for on strobilurin-treated material. Selection studies on bulk isolates confirmed this finding but also indicated the existence of a range of fitness levels. There were high levels of cross-resistance between strobilurins but not with demethylation inhibitors, morpholines, anilinopyrimidines and quinoxyfen. This assessment of resistance risk suggests that use recommendations of strobilurins for wheat powdery mildew control must include elements for strict resistance management. {\textcopyright} 2001 Elsevier Science Ltd.},
  doi       = {10.1016/S0261-2194(00)00059-4},
  file      = {:C$backslash$:/Users/U8011054/OneDrive - USQ/Cloudstor/Journal articles/Mendeley/2001/2001{_}Chin et al.{_}Characterizing resistance risk of Erysiphe graminis f.sp. tritici to strobilurins.pdf},
  keywords  = {Fungicide resistance,Strobilurin,Wheat},
  publisher = {Elsevier},
}

@Book{Brent2007,
  author  = {Brent, Keith J. and Hollomon, Derek W.},
  title   = {Fungicide Resistance in Crop Pathogens: {How} can it be managed?},
  year    = {2007},
  edition = {2\textsuperscript{nd}},
  isbn    = {9072398076},
  file    = {:C$backslash$:/Users/U8011054/OneDrive - USQ/Cloudstor/Journal articles/Mendeley/2007/2007{_}Brent, Hollomon{_}Fungicide Resistance in Crop Pathogens How can it be managed.pdf},
  url     = {www.frac.info},
}

@Article{Peterson1973,
  author    = {Peterson, R. A.},
  journal   = {Australian Plant Pathology Society Newsletter},
  title     = {Field resistance to benomyl in cucurbit powdery mildew},
  year      = {1973},
  issn      = {0310-1266},
  month     = dec,
  number    = {4},
  pages     = {27--28},
  volume    = {2},
  doi       = {10.1071/APP9730027a},
  file      = {:C$backslash$:/Users/U8011054/OneDrive - USQ/Cloudstor/Journal articles/Peterson1973{_}Article{_}FieldResistanceToBenomylInCucu.pdf},
  keywords  = {Agriculture,Ecology,Entomology,Plant Pathology,Plant Sciences},
  publisher = {Springer},
}

@Misc{Diggle,
  author    = {Diggle, Art},
  month     = nov,
  note      = {https://www.agric.wa.gov.au/apps/powderymildew-mbm-powdery-mildew-management-app-mungbean},
  title     = {{PowderyMildew MBM} - Powdery mildew management app for mungbean},
  year      = {2019},
  booktitle = {Agriculture and Food},
  url       = {https://www.agric.wa.gov.au/apps/powderymildew-mbm-powdery-mildew-management-app-mungbean},
  urldate   = {2020-05-11},
}

@TechReport{Mcgrath2001,
  author = {Mcgrath, Margaret Tuttle},
  title  = {Fungicide Resistance in Cucurbit Powdery Mildew: {Experiences} and Challenges},
  year   = {2001},
  file   = {:C$backslash$:/Users/U8011054/OneDrive - USQ/Cloudstor/Journal articles/Mendeley/2001/2001{_}Mcgrath{_}Fungicide Resistance in Cucurbit Powdery Mildew Experiences and Challenges.pdf},
  isbn   = {2001011601},
}

@Misc{Sparks2017,
  author    = {Sparks, Adam and Kelly, Lisa},
  month     = dec,
  note      = {https://communities.grdc.com.au/field-crop-diseases/mungbean-powdery-mildew-fungicide/},
  title     = {Mungbean powdery mildew management with fungicide},
  year      = {2017},
  booktitle = {Field Crop Diseases},
  url       = {https://communities.grdc.com.au/field-crop-diseases/mungbean-powdery-mildew-fungicide/},
  urldate   = {2020-03-01},
}

@Misc{premer2013,
  author    = {{ Northern Growers Alliance}},
  title     = {Powdery Mildew Mungbeans - 2013 {Premer NSW}},
  year      = {2013},
  booktitle = {Farm Trials},
  url       = {https://www.farmtrials.com.au/trial/20925},
  urldate   = {2020-03-01},
}

@Misc{Millmerran2013,
  author    = {{ Northern Growers Alliance}},
  title     = {Powdery Mildew Mungbeans - 2013 {Millmerran QLD}},
  year      = {2013},
  booktitle = {Farm Trials},
  url       = {https://www.farmtrials.com.au/trial/20936},
  urldate   = {2020-03-01},
}

@Misc{Marysmount2013,
  author    = {{ Northern Growers Alliance}},
  title     = {Powdery Mildew Mungbeans - 2013 {Mary's Mount NSW}},
  year      = {2013},
  booktitle = {Farm trials},
  url       = {https://www.farmtrials.com.au/trial/20926},
  urldate   = {2020-03-01},
}

@Misc{goolhi2013,
  author    = {{ Northern Growers Alliance}},
  title     = {Powdery Mildew Mungbeans - 2013 {Goolhi NSW}},
  year      = {2013},
  booktitle = {Farm trials},
  url       = {https://www.farmtrials.com.au/trial/20927},
  urldate   = {2020-03-01},
}

@Article{SueThompson2016,
  author    = {Sue Thompson},
  journal   = {Ground Cover},
  title     = {Mungbeans vs fungus: two sprays for optimum control - {Grains Research and Development Corporation}},
  year      = {2016},
  month     = sep,
  abstract  = {Mungbeans vs fungus: two sprays for optimum control},
  publisher = {Grains Research and Development Corporation},
  url       = {https://grdc.com.au/resources-and-publications/groundcover/ground-cover-issue-124-septemberoctober-2016/mungbeans-vs-fungus-two-sprays-for-optimum-control},
}
@misc{Thompson2016,
author = {Thompson, Sue and O'Conner, Rod and Weir, Duncan and Conway, Maurie and Ainsthorpe, Darren and Quinlivan, Max and Carroll, Katy and Aguis, Peter},
booktitle = {GRDC Update Papers},
title = {{Fungicide management of mungbean powdery mildew}},
url = {https://grdc.com.au/resources-and-publications/grdc-update-papers/tab-content/grdc-update-papers/2016/06/fungicide-management-of-mungbean-powdery-mildew},
urldate = {2020-03-01},
year = {2016}
}

@Article{Chankaew2013,
  author    = {Chankaew, Sompong and Somta, Prakit and Isemura, Takehisa and Tomooka, Norihiko and Kaga, Akito and Vaughan, Duncan A. and Srinives, Peerasak},
  journal   = {Molecular Breeding},
  title     = {Quantitative trait locus mapping reveals conservation of major and minor loci for powdery mildew resistance in four sources of resistance in mungbean [\textit{{Vigna} radiata} (L.) Wilczek]},
  year      = {2013},
  issn      = {1380-3743},
  month     = jun,
  number    = {1},
  pages     = {121--130},
  volume    = {32},
  abstract  = {Powdery mildew (PM) is a common and serious disease of mungbean [Vigna radiata (L.) Wilczek]. A few quantitative trait loci (QTL) for PM resistance in mungbean have been reported. The objective of this study was to locate QTL for PM resistance in two resistant accessions V4718 and RUM5. Simple sequence repeat markers were analyzed in an F2 population from a cross between Kamphaeng Saen 1 (KPS1; susceptible to PM) and V4718 (resistant to PM), and in F2 and BC1F1 populations from a cross between Chai Nat 60 (CN60; susceptible to PM) and RUM5 (resistant to PM). Progenies of 134 F2:3 and F2:4 lines derived from KPS1 $\times$ V4718, and 190 F2:3 and 74 BC1F1:2 lines derived from CN60 $\times$ RUM5 and CN60 $\times$ (CN60 $\times$ RUM5), respectively, were evaluated for response to PM under field conditions. Multiple interval mapping identified a major QTL on linkage group (LG) 9 and two minor QTL on LG4 for the resistance in V4718, and detected two major QTL on LG6 and LG9 and one minor QTL on LG4 for the resistance in RUM5. Comparative linkage analysis of the QTL for PM resistance in this study and in previous reports suggests that the resistance QTL on LG9 in V4718, RUM5, ATF3640 and VC6468-11-1A are the same locus or linked. One QTL on LG4 is the same in three sources (V4718, RUM5 and VC1210A). Another QTL on LG6 is the same in two sources (RUM5 and VC6468-11-1A). In addition, one QTL in V4718 on LG4 appears to be a new resistance locus. These different resistance loci will be useful for breeding durably PM-resistant mungbean cultivars. {\textcopyright} 2013 Springer Science+Business Media Dordrecht.},
  doi       = {10.1007/s11032-013-9856-6},
  file      = {:C$backslash$:/Users/U8011054/OneDrive - USQ/Cloudstor/Journal articles/Mendeley/2013/2013{_}Chankaew et al.{_}Quantitative trait locus mapping reveals conservation of major and minor loci for powdery mildew resistance in four.pdf},
  keywords  = {Erysiphe polygoni,Host-plant resistance,Mungbean,Powdery mildew,QTL,SSR,Vigna radiata},
  publisher = {Springer},
}

@Misc{QueenslandGovernment2019,
  author    = {{Queensland Government}},
  note      = {https://agmargins.net.au/Reports/Details/fced3a80-a762-481c-b812-9953e33410e6},
  title     = {Mungbean (Irrigated) {Darling Downs} 2019},
  year      = {2019},
  booktitle = {AgMargins},
  url       = {https://agmargins.net.au/Reports/Details/fced3a80-a762-481c-b812-9953e33410e6},
  urldate   = {2020-02-26},
}

@Misc{PulseAustralia,
  author    = {{Pulse Australia}},
  title     = {Mungbean Production: Northern Region},
  booktitle = {Best Management Guide},
  url       = {http://www.pulseaus.com.au/growing-pulses/bmp/mungbean/guide},
  urldate   = {2020-02-26},
}

@Misc{Kelly2017a,
  author    = {Kelly, Lisa and White, Jo and Sharman, Murray and Brier, Hugh and Williams, Liz and Grams, Raechelle and Weir, Duncan and Mckay, Alan and Sparks, Adam H.},
  title     = {{Mungbean and sorghum disease update - GRDC}},
  year      = {2017},
  abstract  = {Avoid paddocks with a history of Fusarium wilt in mungbean. Plant seed into well-drained soils and minimise plant stress. To minimise the risk of halo blight and tan spot: use low risk planting seed, plant varieties with higher levels of resistance, clean harvesting equipment, control weeds and volunteers, and use suitable crop rotations. Report phytoplasma disease outbreaks to Qld DAF Entomologists and Plant Pathologists. Timely fungicide applications of Folicur{\textregistered} (PER13979 -- expires 30\textsuperscript{th} June 2017; application for extension submitted, pending approval) or Custodia{\textregistered} (PER82104 -- expires 30\textsuperscript{th} November 2019) are effective at managing powdery mildew in mungbean. For Folicur, crops should be sprayed at the first sign of disease and then again 14 days later if necessary, with a maximum of three applications per crop. For Custodia, do not apply more than three foliar applications per season with a minimum retreatment interval of 10 to 14 days Sorghum stubble is a good reservoir for Fusarium thapsinum to survive between sorghum crops. Level of F. thapsinum in sorghum stubble starts to decline after two months with standing stubble treatments appearing to decline at a slower rate than surface and buried treatments. By 18 months, F. thapsinum levels appear to be similar across all stubble treatments. PREDICTA B test for Macrophomina phaseolina is under evaluation.},
  booktitle = {GRDC Update Papers},
  url       = {https://grdc.com.au/resources-and-publications/grdc-update-papers/tab-content/grdc-update-papers/2017/07/mungbean-and-sorghum-disease-update},
  urldate   = {2020-02-26},
}

@Article{Pandey2018,
  author    = {Pandey, Abhay K. and Burlakoti, Rishi R. and Kenyon, Lawrence and Nair, Ramakrishnan M.},
  journal   = {Frontiers in Environmental Science},
  title     = {Perspectives and Challenges for Sustainable Management of Fungal Diseases of Mungbean [\textit{{Vigna} radiata} ({L}.) {R}. {Wilczek} var. \textit{radiata}]: {A} Review},
  year      = {2018},
  issn      = {2296-665X},
  month     = jun,
  pages     = {53},
  volume    = {6},
  abstract  = {Mungbean (Vigna radiata var. radiata) is a key legume crop grown predominantly in South and Southeast Asia. Biotic and abiotic stresses cause significant yield reduction in mungbean, and among these, fungal diseases are particularly important. Although disease management practices, including physical, chemical, and biological methods have been researched and described in the literature, few of these are available or have been used by growers. Here we review the economic impact, pathogen characterization, and sustainable management options for the soil-borne and foliar fungal diseases of mungbean as well as major challenges to manage these diseases. Potential use of all possible components of integrated management practices including host resistance, fungicides, biocontrol agents, natural plant products, and cultural practices etc. are discussed. Major diseases include powdery mildew, anthracnose, Cercospora leaf spot, Fusarium wilt, Rhizoctonia root rot and web blight, Macrophomina charcoal rot/dry root rot and blight. Review of the literature indicated an absence of resistance to Rhizoctonia root rot, little sources of resistance for dry root rot and anthracnose. Major resistant genes (R genes) and quantitative trait loci (QTL) were identified for powdery mildew and Cercospora leaf spot, which may be potentially used in Marker assisted selection (MAS). has been used in resistance breeding for both of the latter. Although the mechanisms of induced systemic resistance (ISR) by biocontrol agents have been studied with Macrophomina blight, there is little information on the mechanisms and use of systemic acquired resistance (SAR) in managing fungal diseases of mungbean. Several studies targeted exploiting biological control for soil-borne root rot diseases. Botanical products, such as plant extracts, are also found effective to manage root and foliar diseases. However, many of these studies were limited to laboratory and/or green house experiments. Thus, long-term field studies are required for further exploitation of biological methods and commercial applications.},
  doi       = {10.3389/fenvs.2018.00053},
  file      = {:C$backslash$:/Users/U8011054/OneDrive - USQ/Cloudstor/Journal articles/Mendeley/2018/2018{_}Pandey et al.{_}Perspectives and Challenges for Sustainable Management of Fungal Diseases of Mungbean Vigna radiata (L.) R. Wilczek v.pdf},
  keywords  = {Disease Management,Fungal diseases,Quantitative Trait Loci,host resistance,mungbean},
  publisher = {Frontiers},
}

@Article{Yin2018,
  author    = {Yin, Zhichao and Guo, Wenyun and Xiao, Huanyu and Liang, Jie and Hao, Xiyu and Dong, Naiyuan and Leng, Tingrui and Wang, Yingjie and Wang, Qingyu and Yin, Fengxiang},
  journal   = {PLOS ONE},
  title     = {Nitrogen, phosphorus, and potassium fertilization to achieve expected yield and improve yield components of mung bean},
  year      = {2018},
  issn      = {1932-6203},
  month     = oct,
  number    = {10},
  pages     = {e0206285},
  volume    = {13},
  abstract  = {Mung bean (Vigna radiata L.) is an important edible bean in the human diet worldwide. However, its growth, development, and yield may be restricted or limited by insufficient or unbalanced nitrogen (N), phosphorus (P), and potassium (K) fertilization. Despite this, there are few long-term studies of the effects of varying levels of N, P, and K combined fertilizers and the optimal fertilization for improving mung bean yield and quality. This study was conducted to optimize the fertilization strategies for high yield and to improve yield components (pods per plant, seeds per pod, and 100-seed weight) in the Bailv9 mung bean cultivar, 23 treatments were tested in 2013--2015, using a three-factor (N, P, and K fertilizers), five-level quadratic orthogonal rotation combination design. Our studies showed that, the N, P, and K fertilizers significantly influenced the pods per plant and yield, which increased and then decreased with the increasing N, P, and K fertilizers. The 100-seed weight was significantly affected by the N and P fertilization, and it was increased consistently with the increasing N fertilizer, and decreased significantly with the increasing P fertilizer. Whereas, the seeds per pod significantly decreased with the increasing N and K fertilizers, and the P fertilizer had no significant effect on it. The NP interaction had a significant effect on yield and pods per plant at high N levels, while the NK interaction had a significant but opposite effect on yield at low N levels. The optimal fertilization conditions to obtain yield {\textgreater}2,141.69 kg ha -1 were 34.38--42.62 kg ha -1 N, 17.55--21.70 kg ha -1 P 2 O 5 , and 53.23--67.29 kg ha -1 K 2 O. Moreover, the optimal N, P, and K fertilization interval to achieve pods per plant {\textgreater} 23.41 and the optimal N fertilization to achieve a 100-seed weight {\textgreater} 6.58 g intersected with the interval for yield, but the seeds per pod did not. The fertilizer ratio for the maximum yield was N:P 2 O 5 :K 2 O = 1:0.5:1.59. Following three years experimentation, the optimal fertilization measures were validated in 2016--2017, the results indicated that yield increased by 19.6{\%} than that obtained using conventional fertilization. The results of this study provide a theoretical basis and technical guidance for high-yield mung bean cultivation using the optimal fertilization measures.},
  doi       = {10.1371/journal.pone.0206285},
  editor    = {Jabran, Khawar},
  file      = {:C$backslash$:/Users/U8011054/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Yin et al. - 2018 - Nitrogen, phosphorus, and potassium fertilization to achieve expected yield and improve yield components of mung bea.pdf},
  keywords  = {Beans,Crops,Fertilizers,Regression analysis,Root growth,Seedlings,Seeds,Vegetables},
  publisher = {Public Library of Science},
}

@TechReport{APVMAcustodia,
  title = {{Permit to allow minor use of an AgVet chemical product for the control of powdery mildew in adzuji beans, mung beans and navy beans.}},
  file  = {:C$backslash$:/Users/U8011054/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Unknown - Unknown - PERMIT TO ALLOW MINOR USE OF AN AGVET CHEMICAL PRODUCT FOR THE CONTROL OF POWDERY MILDEW IN ADZUKI BEANS, MUNG BEANS.pdf},
  url   = {http://permits.apvma.gov.au/PER82104.PDF},
}

@Article{Chauhan2018,
  author    = {Chauhan, Yashvir and Williams, Rex},
  journal   = {Agronomy},
  title     = {Physiological and Agronomic Strategies to Increase Mungbean Yield in Climatically Variable Environments of Northern {Australia}},
  year      = {2018},
  issn      = {2073-4395},
  month     = may,
  number    = {6},
  pages     = {83},
  volume    = {8},
  abstract  = {Mungbean (Vigna radiata (L.) Wilczek) in Australia has been transformed from a niche opportunistic crop into a major summer cropping option for dryland growers in the summer-dominant rainfall regions of Queensland and New South Wales. This transformation followed stepwise genetic improvements in both grain yields and disease resistance. For example, more recent cultivars such as {\textquoteleft}Crystal', {\textquoteleft}Satin II', and {\textquoteleft}Jade-AU{\textquoteleft}have provided up to a 20{\%} yield advantage over initial introductions. Improved agronomic management to enable mechanised management and cultivation in narrow ({\textless}50 cm) rows has further promised to increase yields. Nevertheless, average yields achieved by growers for their mungbean crops remain less than 1 t/ha, and are much more variable than other broad acre crops. Further increases in yield and crop resilience in mungbean are vital. In this review, opportunities to improve mungbean productivity have been analysed at four key levels including phenology, leaf area development, dry matter accumulation, and its partitioning into grain yield. Improving the prediction of phenology in mungbean may provide further scope for genetic improvements that better match crop duration to the characteristics of target environments. There is also scope to improve grain yields by increasing dry matter production through the development of more efficient leaf canopies. This may introduce additional production risks as dry matter production depends on the amount of available water, which varies considerably within and across growing regions in Australia. Improving crop yields by exploiting G $\times$ E $\times$ M interactions related to cultivar photo-thermal sensitivities and make better use of available water in these variable environments is likely to be a less risky strategy. Improved characterisation of growing environments using modelling approaches could also better define and identify the risks of major abiotic constraints. This would assist in optimising breeding and management strategies to increase grain yield and crop resilience in mungbean for the benefit of growers and the industry.},
  doi       = {10.3390/agronomy8060083},
  file      = {:C$backslash$:/Users/U8011054/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Chauhan, Williams - 2018 - Physiological and Agronomic Strategies to Increase Mungbean Yield in Climatically Variable Environments of No.pdf},
  keywords  = {G $\times$ E interaction,Improvement,Model,Vigna radiata (L.) Wilczek,Yield,Yield traits},
  publisher = {MDPI AG},
  url       = {http://www.mdpi.com/2073-4395/8/6/83},
}

@Article{ThomasRobert2004,
  author    = {Thomas and Robertson, M. J. and Fukai, S. and Peoples, M. B.},
  journal   = {Field Crops Research},
  title     = {The effect of timing and severity of water deficit on growth, development, yield accumulation and nitrogen fixation of mungbean},
  year      = {2004},
  issn      = {0378-4290},
  month     = feb,
  number    = {1},
  pages     = {67--80},
  volume    = {86},
  abstract  = {Mungbean (Vigna radiata L.), as a dryland grain legume, is exposed to varying timing and severity of water deficit, which results in variability in grain yield, nitrogen accumulation and grain quality. In this field study, mungbean crops were exposed to varying timing and severity of water deficit in order to examine: (1) contribution of the second flush of pods to final grain yield with variable timing of relief from water deficit, (2) the sensitivity to water deficit of the accumulation of biomass and nitrogen (N) and its partitioning to grain, and (3) how the timing of water deficit affects the pattern of harvest index (HI) increase through pod filling. The results showed that the contribution of the second flush to final yield is highly variable (1-56{\%}) and can be considerable, especially where mid-season stress is relieved at early pod filling. The capacity to produce a second flush of pods did not compensate fully for yield reduction due to water stress. Relief from mid-season stress also resulted in continued leaf production, N2 fixation and vegetative biomass accumulation during pod filling. Despite the wide variation in the degree of change in vegetative biomass and N during pod filling, there were strong relationships between grain yield and net-above-ground biomass at maturity, and grain N and above-ground N at maturity. Only in the extreme situations were HI and nitrogen HI affected noticeably. In those treatments where there was a large second flush of pods, there was a pronounced biphasic pattern to pod number production, with HI also progressing through two distinct phases of increase separated by a plateau. The proportion of grain yield contributed to by biomass produced before pod filling varied from 0 to 61{\%} with the contribution greatest under terminal water deficit. There was a larger effect of water deficit on N accumulation, and hence N2 fixation, than on biomass accumulation. The study confirmed the applicability of a number of long-standing physiological concepts to the analysis of the effect of water deficit on mungbean, but also highlighted the difficulty of accounting for timing effects of water deficit where second flushes of pods alter canopy development, biomass and yield accumulation, and N dynamics. Crown Copyright {\textcopyright} 2003 Published by Elsevier B.V. All rights reserved.},
  doi       = {10.1016/S0378-4290(03)00120-5},
  file      = {:C$backslash$:/Users/U8011054/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Thomas et al. - 2004 - The effect of timing and severity of water deficit on growth, development, yield accumulation and nitrogen fixati.pdf},
  keywords  = {Drought,Grain yield,Green gram,Mungbean,Partitioning,Phenology},
  publisher = {Elsevier},
}

@Article{Madden2016,
  author    = {Madden, L. V. and Piepho, H. P. and Paul, P. A.},
  journal   = {Phytopathology},
  title     = {Statistical models and methods for network meta-analysis},
  year      = {2016},
  issn      = {0031-949X},
  month     = aug,
  number    = {8},
  pages     = {792--806},
  volume    = {106},
  abstract  = {Meta-analysis, the methodology for analyzing the results from multiple independent studies, has grown tremendously in popularity over the last four decades. Although most meta-analyses involve a single effect size (summary result, such as a treatment difference) from each study, there are often multiple treatments of interest across the network of studies in the analysis. Multi-treatment (or network) meta-analysis can be used for simultaneously analyzing the results from all the treatments. However, the methodology is considerably more complicated than for the analysis of a single effect size, and there have not been adequate explanations of the approach for agricultural investigations. We review the methods and models for conducting a network meta-analysis based on frequentist statistical principles, and demonstrate the procedures using a published multi-treatment plant pathology data set. A major advantage of network meta-analysis is that correlations of estimated treatment effects are automatically taken into account when an appropriate model is used. Moreover, treatment comparisons may be possible in a network meta-analysis that are not possible in a single study because all treatments of interest may not be included in any given study. We review several models that consider the study effect as either fixed or random, and show how to interpret model-fitting output. We further show how to model the effect of moderator variables (study-level characteristics) on treatment effects, and present one approach to test for the consistency of treatment effects across the network. Online supplemental files give explanations on fitting the network meta-analytical models using SAS.},
  doi       = {10.1094/PHYTO-12-15-0342-RVW},
  file      = {:C$backslash$:/Users/U8011054/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Madden, Piepho, Paul - 2016 - Statistical models and methods for network meta-analysis.pdf},
  keywords  = {Fusarium head blight of wheat,Linear mixed models,Mixed treatment comparisons,Multiplicative interactions},
  publisher = {American Phytopathological Society},
}

@Article{Ngugi2011,
  author   = {Ngugi, H. K. and Lehman, B. L. and Madden, L. V.},
  journal  = {Phytopathology},
  title    = {Multiple Treatment Meta-Analysis of Products Evaluated for Control of Fire Blight in the Eastern {United States}},
  year     = {2011},
  issn     = {0031-949X},
  number   = {5},
  pages    = {512--522},
  volume   = {101},
  abstract = {The aim of this analysis was to estimate the effect sizes and consistency of products evaluated for fire blight control in the eastern United States over the last decade. Because only 3{\%} of the 69 studies published from 2000 to 2008 explicitly presented a measure of within-study variability, a method for estimating the least significant difference (LSD) and, hence the sampling variance, for studies with at least two significant mean separations in the presented mean multiple comparisons was developed. Lin's concordance analysis indicated that the estimated LSD was an accurate predictor of the actual LSD based on 35 studies in a calibration evaluation ($\rho$(c) = 0.997). Separate multi-treatment random-effects meta-analyses were performed for three control categories: antibiotics, biological control, and plant defense-activating products and mean log response ratios relative to the nontreated controls ([Formula: see text]) were computed for each treatment and then back-transformed to obtain the mean percent disease control. None of the products evaluated performed as well as streptomycin, the standard product for fire blight control, for which the mean disease control was 68.6{\%}. As a group, experimental antibiotics provided the best fire blight control with mean effect sizes ranging from 59.7 to 61.7{\%}. Among the biological controls, the best control was noted for treatments combining the antibiotic streptomycin with a product based on Pantoea agglomerans (55.0{\%} mean disease reduction) or Bacillus subtilis (53.9{\%}). Mean disease control was 31.9, 25.7, and 22.6{\%}, respectively, for products based on B. subtilis, Pantoea agglomerans, and Pseudomonas fluorescens without an antibiotic, suggesting that the higher efficacy of the combination treatments was due to the antibiotic. Among the plant defense-activating products, prohexadione calcium had the highest and most consistent effect size (50.7{\%} control), while other products provided modest mean disease control of between 6.1 and 25.8{\%}. Percent control values were significantly moderated by study location and cultivar used in the study, and were smaller, but more variable, when products were tested under high disease intensity compared with low disease intensity. Results indicate that wide-scale use of biological control and plant defense-activating products in the eastern United States is likely to remain low.},
  doi      = {10.1094/phyto-08-10-0221},
  file     = {:C$backslash$:/Users/U8011054/OneDrive - USQ/Cloudstor/Journal articles/Mendeley/2011/2011{_}Ngugi, Lehman, Madden{_}Multiple Treatment Meta-Analysis of Products Evaluated for Control of Fire Blight in the Eastern United State.pdf},
}

@Article{Viechtbauer2010,
  author   = {Viechtbauer, Wolfgang},
  journal  = {Journal of Statistical Software},
  title    = {Conducting Meta-Analyses in {R} with the {metafor} Package},
  year     = {2010},
  issn     = {1548-7660},
  month    = aug,
  number   = {3},
  pages    = {1--48},
  volume   = {36},
  abstract = {The metafor package provides functions for conducting meta-analyses in R . The package includes functions for fitting the meta-analytic fixed- and random-effects models and allows for the inclusion of moderators variables (study-level covariates) in these models. Meta-regression analyses with continuous and categorical moderators can be conducted in this way. Functions for the Mantel-Haenszel and Peto's one-step method for meta-analyses of 2 x 2 table data are also available. Finally, the package provides various plot functions (for example, for forest, funnel, and radial plots) and functions for assessing the model fit, for obtaining case diagnostics, and for tests of publication bias.},
  doi      = {10.18637/jss.v036.i03},
  file     = {:C$backslash$:/Users/U8011054/Downloads/metafor{_}in R.pdf},
  url      = {http://www.jstatsoft.org/v36/i03/},
}

@Article{Paul2007,
  author   = {Paul, P. A. and Lipps, P. E. and Hershman, D. E. and Mcmullen, M. P. and Draper, M. A. and Madden, L. V.},
  title    = {Disease Control and Pest Management A Quantitative Review of Tebuconazole Effect on Fusarium Head Blight and Deoxynivalenol Content in Wheat},
  year     = {2007},
  number   = {2},
  pages    = {211},
  volume   = {97},
  abstract = {Paul, P. A., Lipps, P. E., Hershman, D. E., McMullen, M. P., Draper, M. A., and Madden, L. V. 2007. A quantitative review of tebuconazole effect on Fusarium head blight and deoxynivalenol content in wheat. Phytopathology 97:211-220. A meta-analysis of the effect of tebuconazole (e.g., Folicur 3.6F) on Fusarium head blight and deoxynivalenol (DON) content of wheat grain was performed using data collected from uniform fungicide trials (UFTs) conducted at multiple locations across U.S. wheat-growing regions. Response ratios (mean disease and DON levels from tebuconazole-treated plots, divided by mean disease and DON levels from untreated check plots) were calculated for each of 139 studies for tebuconazole effect on Fusarium head blight index (IND; field or plot-level disease severity, i.e., mean proportion of diseased spikeLet's per spike) and 101 studies for tebuconazole effect on DON contamination of harvested grain. A random-effects meta-analysis was performed on the log-transformed ratios, and the estimated mean log ratios were transformed to estimate the mean (expected) percent control for IND (IND C) and DON (DON C). A mixed-effects meta-analysis was then done to determine the effects of wheat type (spring versus winter wheat) and disease and DON levels in the controls on the log ratios. Tebuconazole was more effective at limiting IND than DON, with IND C and DON C values of 40.3 and 21.6{\%}, respectively. The efficacy of tebuconazole as determined by the impact on both IND and DON was greater in spring wheat than in winter wheat (P {\textless} 0.01), with a 13.2{\%} higher IND C and a 12.4{\%} higher DON C in spring wheat than in winter wheat. In general, IND C and DON C were both at their lowest values (and not significantly different from 0) when mean IND and DON in the controls, respectively, were low ($\leq$2{\%} for IND and {\textless}1 ppm for DON). IND C was 25{\%} higher in studies with mean IND between 2 and 15{\%} than in studies with mean IND $\leq$ 2{\%}, whereas DON C was 28.8{\%} higher in studies with mean DON between 1 and 10 ppm than in studies with mean DON {\textless} 1 ppm. The between-study variance was significantly greater than 0 (P {\textless} 0.01), indicating considerable (unexplained) variability in percent control.},
  doi      = {10.1094/PHYTO-97-2-0211},
  file     = {:C$backslash$:/Users/U8011054/OneDrive - USQ/Cloudstor/Journal articles/Mendeley/2007/2007{_}Paul et al.{_}Disease Control and Pest Management A Quantitative Review of Tebuconazole Effect on Fusarium Head Blight and Deoxynival.pdf},
  keywords = {Additional keywords: random-effects models,Fusarium graminearum,Gibberella zeae,effect size,mixed-effects models,wheat scab},
}

@InCollection{Lambrides2007,
  author    = {Lambrides, C. J. and Godwin, I. D.},
  booktitle = {{Pulses, Sugar and Tuber Crops}},
  publisher = {Springer},
  title     = {Mungbean},
  year      = {2007},
  pages     = {69--90},
}
@Article{Lawn1979,
  author   = {Lawn, R. J.},
  journal  = {Australian Journal of Agricultural Research},
  title    = {Agronomic studies on {Vigna} spp. in south-eastern {Queensland}. {I}. {Phenological} response of cultivars to sowing date},
  year     = {1979},
  issn     = {1444-9838},
  note     = {Publisher: CSIRO PUBLISHING},
  number   = {5},
  pages    = {855--870},
  volume   = {30},
  abstract = {Phenological development of 16 cultivars from four Vigna species (V. radiata, green gram; V. mungo, black gram; V. angularis, adzuki bean; V. umbellata, rice bean) was studied over a range of 17 weekly sowing dates at Lawes in south-eastern Queensland. Cultivar and sowing date effects on phenology were large. In all cultivars, the rate of development during pre-flowering was associated negatively with mean day length and positively with mean maximum and/or mean minimum temperature. Cultivars differed in sensitivity to both photoperiod and temperature. Genetic lateness of flowering among cultivars was associated positively with increasing sensitivity to day length and negatively with the latitude of cultivar source. In the grams, early-flowering cultivars showed response to maximum temperatures, while the later-flowering lines responded to minimum temperatures. Rate of development in all four species during the reproductive phase was largely independent of cultivar and sowing date, per se, but rather appeared to depend on the day length and temperature regimes prevailing subsequent to the onset of flowering. The reproductive period in all species was shortest for those cultivar x sowing date combinations which commenced flowering in early autumn. Where flowering occurred in midsummer, i.e. for early sowings and for early cultivars, the reproductive period was extended as a consequence of prolonged flowering in response to the longer prevailing day lengths. As the date of flowering was delayed into mid or late autumn, the reproductive phase was extended owing to slower pod maturation rates in response to cooler prevailing temperatures. The implications of these responses on adaptation and agronomic utilization of these species are discussed.},
  doi      = {10.1071/ar9790855},
  file     = {Full Text PDF:/Users/adamsparks/Zotero/storage/SFS57X5A/Lawn1979 - Agronomic Studies on Vigna Spp. in South Eastern Queensland. I. Phenological Response of Cultivars to Sowing Date.pdf:application/pdf;Snapshot:/Users/adamsparks/Zotero/storage/EKX52R45/Lawn1979 - Agronomic Studies on Vigna Spp. in South Eastern Queensland. I. Phenological Response of Cultivars to Sowing Date.html:text/html},
  language = {en},
  url      = {http://www.publish.csiro.au/ar/ar9790855},
  urldate  = {2020-07-23},
}

@Article{Lawn1979a,
  author   = {Lawn, R. J.},
  journal  = {Australian Journal of Agricultural Research},
  title    = {Agronomic studies on {Vigna} spp. in south-eastern {Queensland}. {II}. {Vegetative} and reproductive response of cultivars to sowing date},
  year     = {1979},
  issn     = {1444-9838},
  note     = {Publisher: CSIRO PUBLISHING},
  number   = {5},
  pages    = {871--882},
  volume   = {30},
  abstract = {Vegetative and reproductive growth of 16 cultivars from four Vigna spp. (V. radiata, green gram; V. mungo, black gram; V. angularis, adzuki bean; and V. umbellata, rice bean) were studied over a range of sowing dates at Lawes in south-eastern Queensland. Seed yield and total dry matter (DM) at maturity were highest in the black grams, and lowest in the adzuki beans. Within species, vegetative development was generally higher in the later-maturing cultivars, but the same was not true for seed yield. Harvest index was negatively associated with cultivar maturity in the grams and adzuki beans. All cultivars showed substantial response to sowing date, with highest total DM and seed yield for December sowings. Delayed sowings reduced growth such that for late February sowings, total DM at maturity and seed yields were generally less than one-tenth of the maximum. Harvest index revealed an optimum type response to sowing date, with highest values for late December/early January sowings. Phenological response per se was not a useful predictor of the effect of sowing date on yield or total DM for any of the 16 cultivars, since in all cases growth rates varied substantially with sowing date, apparently in response to temperature. The linear form of the Arrhenius equation relating mean growth rate and mean prevailing temperature provided an excellent description of the response of both yield and total DM accumulation rates over sowing dates for all cultivars. Among cultivars, there was a significant correlation between the slope of the Arrhenius plots (k values) for seed yield and total DM accumulation, implying similar relative temperature sensitivity for both growth processes. For the 16 cultivars tested, the absolute magnitude of the k values for both seed yield and total DM accumulation was significantly negatively correlated with the latitude from which the cultivars were introduced, which implied greater temperature sensitivity for cultivars from the tropics. Some implications of these responses on cultivar adaptation and cultural practices are discussed.},
  doi      = {10.1071/ar9790871},
  file     = {Full Text PDF:/Users/adamsparks/Zotero/storage/7M5WW3DM/Lawn1979a - Agronomic Studies on Vigna Spp. in South Eastern Queensland. II. Vegetative and Reproductive Response of Cultivars to Sowing Date.pdf:application/pdf;Snapshot:/Users/adamsparks/Zotero/storage/C6XZHIJE/Lawn1979a - Agronomic Studies on Vigna Spp. in South Eastern Queensland. II. Vegetative and Reproductive Response of Cultivars to Sowing Date.html:text/html},
  language = {en},
  url      = {http://www.publish.csiro.au/ar/ar9790871},
  urldate  = {2020-07-23},
}

@Article{Lawn1983,
  author   = {Lawn, R. J.},
  journal  = {Australian Journal of Agricultural Research},
  title    = {Agronomic studies on {Vigna} spp. in {South}-{Eastern} {Queensland}. {III}. {Response} to sowing arrangement},
  year     = {1983},
  issn     = {1444-9838},
  note     = {Publisher: CSIRO PUBLISHING},
  number   = {5},
  pages    = {505--515},
  volume   = {34},
  abstract = {The response of two accessions each of black gram (Vigna mungo), adzuki bean (V. angularis) and green gram (V. radiata) to sowing arrangement was evaluated in November, December and January sowings in south-eastern Queensland. Plants were grown in rows 100, 75, 50 and 25 cm apart with a constant within-row density of 20 plants per m, providing population densities of 200, 267, 400 and 800 thousand plants per ha respectively. Dry matter production was generally maximized at the highest population density. However, significant species x sowing arrangement and sowing date x sowing arrangement interaction occurred for seed yield. Yields of black grams were least responsive to population density/sowing date combinations, apparently because of their indeterminate growth habit. The green grams (determinate habit) and adzuki beans (weakly indeterminate) responded to progressively higher population density as sowing was delayed from November to January, reflecting progressively shorter growth duration with later sowing. In each species, yields were generally depressed at the lowest density because vegetative growth was inadequate to achieve complete canopy closure prior to podfilling. Yields were depressed at the highest density for most sowings of the black grams, and the November sowings of the adzuki beans and green grams, because of lodging. It is suggested that sowing date x sowing arrangement interactions might be used to advantage in manipulating sowing date to minimize risk of weather damage in southern Queensland.},
  doi      = {10.1071/ar9830505},
  file     = {Full Text PDF:/Users/adamsparks/Zotero/storage/WZY9WNPM/Lawn1983 - Agronomic Studies on Vigna Spp. in South Eastern Queensland. III. Response to Sowing Arrangement.pdf:application/pdf;Snapshot:/Users/adamsparks/Zotero/storage/TEJ3I8C7/Lawn1983 - Agronomic Studies on Vigna Spp. in South Eastern Queensland. III. Response to Sowing Arrangement.html:text/html},
  language = {en},
  url      = {http://www.publish.csiro.au/ar/ar9830505},
  urldate  = {2020-07-23},
}

@Article{Lawn1978,
  author  = {Lawn, R. J. and Russell, J. S.},
  journal = {Journal},
  title   = {Mungbean: a grain legume for summer rainfall cropping areas of {Australia}},
  year    = {1978},
  pages   = {28--41},
}

@InProceedings{Madden2011,
  author    = {Madden, L. V. and Paul, P. A.},
  booktitle = {Phytopathology},
  title     = {Meta-analysis for evidence synthesis in plant pathology: {An} overview},
  year      = {2011},
  month     = jan,
  number    = {1},
  pages     = {16--30},
  publisher = {The American Phytopathological Society},
  volume    = {101},
  abstract  = {Meta-analysis is the analysis of the results of multiple studies, which is typically performed in order to synthesize evidence from many possible sources in a formal probabilistic manner. In a simple sense, the outcome of each study becomes a single observation in the meta-analysis of all available studies. The methodology was developed originally in the social sciences by Smith, Glass, Rosenthal, Hunter, and Schmidt, based on earlier pioneering contributions in statistics by Fisher, Pearson, Yates, and Cochran, but this approach to research synthesis has now been embraced within many scientific disciplines. However, only a handful of articles have been published in plant pathology and related fields utilizing meta-analysis. After reviewing basic concepts and approaches, methods for estimating parameters and interpreting results are shown. The advantages of meta-analysis are presented in terms of prediction and risk analysis, and the high statistical power that can be achieved for detecting significant effects of treatments or significant relationships between variables. Based on power considerations, the fallacy of na{\"{i}}ve counting of P values in a narrative review is demonstrated. Although there are many advantages to meta-analysis, results can be biased if the analysis is based on a nonrepresentative sample of study outcomes. Therefore, novel approaches for characterizing the upper bound on the bias are discussed, in order to show the robustness of meta-analysis to possible violation of assumptions. {\textcopyright} 2011 The American Phytopathological Society.},
  doi       = {10.1094/PHYTO-03-10-0069},
  file      = {:C$backslash$:/Users/U8011054/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Madden, Paul - 2011 - Meta-analysis for evidence synthesis in plant pathology An overview.pdf},
  issn      = {0031-949X},
  keywords  = {Fusarium head blight,Gibberella zeae,Wheat scab},
}

@Manual{agricolae2020,
  title  = {{agricolae: Statistical} Procedures for Agricultural Research},
  author = {de Mendiburu, Felipe},
  note   = {R package version 1.3-3},
  year   = {2020},
  url    = {https://CRAN.R-project.org/package=agricolae},
}

@InProceedings{Conde1991,
  author    = {Conde, B. D. and Diatloff, A.},
  booktitle = {Mungbean: the {Australian} experience. Proceedings of the first {Australian} mungbean workshop},
  title     = {Diseases of mungbeans},
  year      = {1991},
  address   = {St Lucia, Qld. 1991},
  number    = {RESEARCH},
  pages     = {73--77},
  publisher = {CSIRO Division of Tropical Crops \& Pastures},
  abstract  = {Four bacterial, one mycoplasma, five fungal and two  undeternined diseases affecting mungbeans in Australia are  discussed. No virus diseases have been reported in  Australia although at least nine occur on mungbeans and  blackgram world wide. Resistance in available to the seed  transmitted common blight (Xanthomonas campestris pv.  phaseoli) which can be severe under warm humid conditions.  There is no known source of resistance to halo blight  (Pseudomonas syringae pv. phaseolicola) and tan spot  (Curtobacterium flaccumfaciens pv. flaccumfaciens) both of  which are seed-transmitted. Gummy pod, associated with  Gluconobacter sp., causes gumming and breakdown of the pod  stalk. Shantung is resistant to both Cercospora leaf spot  and powdery midlew. Macrophomina phaseolina can be serious  in the field causing damping off and stem rot and also is  of major concern as a source of spoilage in the sprouting  industry as a seed-borne contaminant. Sclerotium rolfsii,  Choanephora cucurbitarum and tomato big bud Mycoplasma  cause minor diseases, the first two only in very wet warm  weather. [AS]},
  recid     = {15587},
  url       = {http://worldveg.tind.io/record/15587},
}

@Article{Fuhlbohm2013,
  author    = {Fuhlbohm, M. J. and Ryley, M. J. and Aitken, E. A. B.},
  journal   = {Plant Pathology},
  title     = {Infection of mungbean seed by \textit{{Macrophomina} phaseolina} is more likely to result from localized pod infection than from systemic plant infection},
  year      = {2013},
  issn      = {1365-3059},
  note      = {\_eprint: https://bsppjournals.onlinelibrary.wiley.com/doi/pdf/10.1111/ppa.12047},
  number    = {6},
  pages     = {1271--1284},
  volume    = {62},
  abstract  = {The ubiquitous fungal pathogen Macrophomina phaseolina is best known as causing charcoal rot and premature death when host plants are subject to post-flowering stress. Overseas reports of M. phaseolina causing a rapid rot during the sprouting of Australian mungbean seed resulted in an investigation of the possible modes of infection of seed. Isolations from serial portions of 10 mungbean plants naturally infected with the pathogen revealed that on most plants there were discrete portions of infected tissue separated by apparently healthy tissue. The results from these studies, together with molecular analysis of isolates collected from infected tissue on two of the plants, suggested that aerial infection of aboveground parts by different isolates is common. Inoculations of roots and aboveground parts of mungbean plants at nine temperature $\times$ soil moisture incubation combinations and of detached green pods strongly supported the concept that seed infection results from infection of pods by microsclerotia, rather than from hyphae growing systemically through the plant after root or stem infection. This proposal is reinforced by anecdotal evidence that high levels of seed infection are common when rainfall occurs during pod fill, and by the isolation of M. phaseolina from soil peds collected on pods of mungbean plants in the field. However, other experiments showed that when inoculum was placed within 130 mm of a green developing pod and a herbicide containing paraquat and diquat was sprayed on the inoculated plants, M. phaseolina was capable of some systemic growth from vegetative tissue into the pods and seeds.},
  copyright = {{\copyright} 2013 British Society for Plant Pathology},
  doi       = {10.1111/ppa.12047},
  file      = {Snapshot:/Users/adamsparks/Zotero/storage/W3ZVJNW2/Fuhlbohm2013 - Infection of Mungbean Seed by Macrophomina Phaseolina Is More Likely to Result from Localized Pod Infection Than from Systemic Plant Infection.html:text/html;Full Text PDF:/Users/adamsparks/Zotero/storage/DC9SRGMP/Fuhlbohm2013 - Infection of Mungbean Seed by Macrophomina Phaseolina Is More Likely to Result from Localized Pod Infection Than from Systemic Plant Infection.pdf:application/pdf},
  keywords  = {charcoal rot, infection, Macrophomina phaseolina, mungbean, seed},
  language  = {en},
  urldate   = {2020-08-04},
}

@Article{Noble2019,
  author     = {Noble, Thomas J. and Young, Anthony J. and Douglas, Colin A. and Williams, Brett and Mundree, Sagadevan},
  journal    = {Crop and Pasture Science},
  title      = {Diagnosis and management of halo blight in {Australian} mungbeans: a review},
  year       = {2019},
  issn       = {1836-5795},
  month      = apr,
  note       = {Publisher: CSIRO PUBLISHING},
  number     = {3},
  pages      = {195--203},
  volume     = {70},
  abstract   = {Mungbean (Vigna radiata L. Wilczek var. radiata) is an important food crop cultivated on over 6 Mha throughout the world. Its short duration of 55--70 days, capacity to fix atmospheric nitrogen, and exceptional grain nutritional profile makes the crop a staple for smallholder and subsistence farmers. In Australia, mungbean is grown as a high-value export crop and established as a main summer rotation for dryland farmers. A major threat to the integrity of the industry is halo blight, a bacterial disease leading to necrotic lesions surrounded by a chlorotic halo that stunts and ultimately kills the plant. Caused by Pseudomonas savastanoi pv. phaseolicola, this seed-borne disease is extremely difficult to control, resulting in significant yield loss and production volatility. The challenge of managing halo blight is exacerbated by a wide host range that includes many legume and weed species, and the presence of multiple epidemiologically significant strains. Molecular technologies could play a pivotal role in addressing these issues. This review synthesises current and emerging technologies to develop improved management strategies for the control of halo blight in mungbean.},
  doi        = {10.1071/CP18541},
  file       = {Full Text PDF:/Users/adamsparks/Zotero/storage/Q3T8USRU/Noble2019 - Diagnosis and Management of Halo Blight in Australian Mungbeans_ a Review.pdf:application/pdf;Snapshot:/Users/adamsparks/Zotero/storage/J4ZBZVZ6/Noble2019 - Diagnosis and Management of Halo Blight in Australian Mungbeans_ a Review.html:text/html},
  language   = {en},
  shorttitle = {Diagnosis and management of halo blight in {Australian} mungbeans},
  url        = {https://www.publish.csiro.au/cp/CP18541},
  urldate    = {2020-08-04},
}

@Article{Wilson2001,
  author   = {Wilson, D. and Blanche, K. R. and Gibb, K. S.},
  journal  = {Australasian Plant Pathology},
  title    = {Phytoplasmas and disease symptoms of crops and weeds in the semi-arid tropics of the {Northern} {Territory}, {Australia}},
  year     = {2001},
  issn     = {1448-6032},
  month    = jun,
  number   = {2},
  pages    = {159--163},
  volume   = {30},
  abstract = {This study used molecular techniques to investigate the little-known characteristics of phytoplasmas in the semi-arid tropics of northern Australia in sesame, mung bean and peanut crops, and in adjacent non-crop species. Five new records of plant species associated with phytoplasma diseases are reported. No phytoplasmas were associated with fasciation but four phytoplasma strains were linked with other symptoms. Sweet potato little leaf variant Vinca 4, the most prevalent phytoplasma, was associated with symptoms of little leaf, or little leaf and phyllody, in all hosts (crop and non-crop species) except sesame, where it was most often associated with floral dieback. Tomato big bud was found only in sesame showing phyllody. Pigeon pea little leaf occurred in one mung bean and one peanut plant with little leaf and phyllody, and one non-crop species with yellowing and rosette formation. Waltheria little leaf was found in a single non-crop individual with little leaf and bunching symptoms. The findings show that adjacent non-crop species have the potential to function as reservoirs of phytoplasma disease for crop species but symptoms alone are not sufficient to diagnose specific phytoplasma strains.},
  doi      = {10.1071/AP01015},
  file     = {Springer Full Text PDF:/Users/adamsparks/Zotero/storage/5Q9FX7NI/Wilson2001 - Phytoplasmas and Disease Symptoms of Crops and Weeds in the Semi Arid Tropics of the Northern Territory, Australia.pdf:application/pdf},
  language = {en},
  urldate  = {2020-08-04},
}

@Article{Wood1990,
  author   = {Wood, Barbara A. and Easdown, W. J.},
  journal  = {Australasian Plant Pathology},
  title    = {A new bacterial disease of mung bean and cowpea for {Australia}},
  year     = {1990},
  issn     = {1448-6032},
  month    = mar,
  number   = {1},
  pages    = {16--21},
  volume   = {19},
  abstract = {A new bacterial disease was detected on mung bean crops in 1984 in central and southern Queensland. The symptoms were marginal and interveinal necrosis of the leaves with vascular browning in a small percentage of affected plants. No wilting was observed. The same symptoms were later detected on cowpeas in southern Queensland. Disease incidence in the commercial crops of mung bean and cowpea surveyed, ranged from leaf symptoms on an occasional plant to 5{$^{\circ}$}/o-8{$^{\circ}$}/o of the crop affected. However, disease incidence as high as 90\% has been reported from other districts. The disease appeared to be most severe in rain-grown crops suffering from moisture stress. The pathogen was identified as Curtobacterium flaccumfaciens subsp. flaccumfaciens on biochemical tests and host pathogenicity. It was shown to be seed transmissible by artificial seed inoculation and pathogenic to soybean and French bean but not to tomato. A toxin was involved in pathogenesis.},
  doi      = {10.1071/APP9900016},
  language = {en},
  urldate  = {2020-08-04},
}

@Article{Fuhlbohm1996,
  author   = {Fuhlbohm, M. J. and Ryley, M. J. and Aitken, E. A. B.},
  journal  = {Australasian Plant Pathology},
  title    = {\textit{{Macrophomina} phaseolina} causing leaf spot of mungbean},
  year     = {1996},
  issn     = {1448-6032},
  month    = dec,
  number   = {4},
  pages    = {247--248},
  volume   = {25},
  abstract = {Macrophomina phaseolina, causing leaf spot of mungbean is reported in Australia. Koch{\textquoteright}s postulates were fulfilled. The inoculum source was considered to be microsclerotia of the fungus in soil splashed onto the leaves. The disease is not expected to be a problem in Australia in most years.},
  doi      = {10.1071/AP96045},
  language = {en},
  urldate  = {2020-08-04},
}

@Article{Zhang2008,
  author    = {Zhang, M. C. and Wang, D. M. and Zheng, Z. and Humphry, M. and Liu, C. J.},
  journal   = {Plant Breeding},
  title     = {Development of {PCR}-based markers for a major locus conferring powdery mildew resistance in mungbean ({Vigna} radiata)},
  year      = {2008},
  issn      = {1439-0523},
  note      = {\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1439-0523.2008.01521.x},
  number    = {4},
  pages     = {429--432},
  volume    = {127},
  abstract  = {Powdery mildew (PM) can cause significant yield loss in mungbean and several loci conferring resistance to this disease have been identified. A restriction fragment length polymorphism (RFLP) marker (VrCS65) linked closely to one of these loci was used to screen a mungbean bacterial artificial chromosome (BAC) library and positive BAC clones identified were used to develop simple sequence repeat (SSR or microsatellite) and sequence tagged site (STS) markers. Four of the new PCR markers (including two SSRs and two STSs) co-segregated with the original RFLP marker VrCS65, and another SSR marker (VrCS SSR2) was located 0.5 cM away from it. These PCR-based and locus-specific markers could be useful in breeding cultivars with enhanced resistance to PM and in the further characterization of the locus including the isolation of gene(s) responsible for the resistance.},
  copyright = {{\copyright} 2008 CSIRO. Journal compilation {\copyright} 2008 Blackwell Verlag, Berlin},
  doi       = {10.1111/j.1439-0523.2008.01521.x},
  file      = {Snapshot:/Users/adamsparks/Zotero/storage/E2APY6TU/Zhang2008 - Development of PCR Based Markers for a Major Locus Conferring Powdery Mildew Resistance in Mungbean (Vigna Radiata).html:text/html;Full Text PDF:/Users/adamsparks/Zotero/storage/3SZYPJXU/Zhang2008 - Development of PCR Based Markers for a Major Locus Conferring Powdery Mildew Resistance in Mungbean (Vigna Radiata).pdf:application/pdf},
  keywords  = {bacterial artificial chromosome library, molecular markers, mungbean, powdery mildew},
  language  = {en},
  urldate   = {2020-08-04},
}

@InProceedings{Kelly2019,
  author    = {Kelly, Lisa and Vaghefi, Niloofar and Kiss, Levente},
  booktitle = {Proceedings of the Australasian Plant Pathology Society Conference 2019},
  title     = {Identification of the powdery mildew species infecting mungbean in {Australian} paddocks},
  year      = {2019},
}

@Article{Thakur1995,
  author   = {Thakur, M. P. and Agrawal, K. C.},
  journal  = {International Journal of Pest Management},
  title    = {Epidemiological studies on powdery mildew of mungbean and urdbean},
  year     = {1995},
  issn     = {0967-0874},
  month    = jan,
  note     = {Publisher: Taylor \& Francis \_eprint: https://doi.org/10.1080/09670879509371940},
  number   = {3},
  pages    = {146--153},
  volume   = {41},
  abstract = {Powdery mildew of mungbean (Vigna radiata L. Wilczek) and urdbean ( V. mungo L. Hepper) caused by Erysiphe polyponi DC during the winter/spring season is a severe constraint in the production of bean crops in the Chhattisgarh region of Madhya Pradesh. Keeping this in view, studies were made to understand the development of powdery mildew in relation to crops, varieties, weather conditions and their effect on yield. The first appearance of powdery mildew in 33 mungbean and 18 urdbean varieties was 1 week earlier during winter 1992--93 than winter 1991--92. Its development was most rapid each year when the average maximum temperature varied from 27.2 to 30.3{$^{\circ}$}C, relative humidity from 67 to 90\% during the morning and 12 to 38\% at noon, and wind velocity from 2.3 to 4.1 km/h. A positive correlation occurred between mildew severity and temperatures and wind velocity in most of the varieties. However, the correlation with relative humidity was negative and significant except in a few varieties. The pooled infection rates (r)/unit/day on resistant mungbean and urdbean varieties was less than 0.1 with disease scores of 1--5 while in apparently slow mildewing varieties, rvalues were also less than 0.1 but showed a score of 7--9. The effect of disease levels on grain yield of urdbean had a negative and significant correlation. However, it was negative but not significant in the case of mungbean. Grain yield was considerably higher when the crops were protected with one spray of Bavistin (1 kg/ha in 5001 of water) followed by Sulfex (3 kg/ha in 5001 of water) than in the untreated control. The disease scores in sprayed plots were also markedly less and ranged between 0 and 5 as against 1 and 9 in the untreated control in different varieties.},
  doi      = {10.1080/09670879509371940},
  file     = {Snapshot:/Users/adamsparks/Zotero/storage/V9AMNEQY/09670879509371940.html:text/html},
  keywords = {Erysiphe polygoni, mungbean, urdbean, Vigna mungo, Vigna radiata},
  urldate  = {2020-08-04},
}

@Article{Humphry2003,
  author   = {Humphry, M. E. and Magner, T. and McIntyre, C. L. and Aitken, E. A.b and Liu, C. J.},
  journal  = {Genome},
  title    = {Identification of a major locus conferring resistance to powdery mildew (\textit{{Erysiphe} polygoni} {DC}) in mungbean (\textit{{Vigna} radiata} {L}. {Wilczek}) by {QTL} analysis},
  year     = {2003},
  issn     = {0831-2796},
  month    = oct,
  note     = {Publisher: NRC Research Press},
  number   = {5},
  pages    = {738--744},
  volume   = {46},
  abstract = {A major locus conferring resistance to the causal organism of powdery mildew, Erysiphe polygoni DC, in mungbean (Vigna radiata L. Wilczek) was identified using QTL analysis with a population of 147 recombinant inbred individuals. The population was derived from a cross between 'Berken', a highly susceptible variety, and ATF 3640, a highly resistant line. To test for response to powdery mildew, F7 and F8 lines were inoculated by dispersing decaying mungbean leaves with residual conidia of E. polygoni amongst the young plants to create an artificial epidemic and assayed in a glasshouse facility. To generate a linkage map, 322 RFLP clones were tested against the two parents and 51 of these were selected to screen the mapping population. The 51 probes generated 52 mapped loci, which were used to construct a linkage map spanning 350 cM of the mungbean genome over 10 linkage groups. Using these markers, a single locus was identified that explained up to a maximum of 86\% of the total variation in the resistance response to the pathogen.Key words: mungbean, powdery mildew, Erysiphe polygoni, QTL, molecular markers.},
  doi      = {10.1139/g03-057},
  file     = {Snapshot:/Users/adamsparks/Zotero/storage/L4J9Z8V5/Humphry2003 - Identification of a Major Locus Conferring Resistance to Powdery Mildew (Erysiphe Polygoni DC) in Mungbean (Vigna Radiata L. Wilczek) by QTL Analysis.html:text/html},
  urldate  = {2020-08-04},
}

@Article{PerezGarcia2009,
  author    = {P{\'{e}}rez‐Garc{\'{i}}a, Alejandro and Romero, Diego and Fern{\'{a}}ndez‐Ortu{\~{n}}o, Dolores and L{\'{o}}pez‐Ruiz, Francisco and {De Vicente}, Antonio and Tor{\'{e}}s, Juan A.},
  journal   = {Molecular Plant Pathology},
  title     = {The powdery mildew fungus \textit{{Podosphaera} fusca} (synonym \textit{{Podosphaera} xanthii}), a constant threat to cucurbits},
  year      = {2009},
  issn      = {1364-3703},
  number    = {2},
  pages     = {153--160},
  volume    = {10},
  abstract  = {Numerous vegetable crops are susceptible to powdery mildew, but cucurbits are arguably the group most severely affected. Podosphaera fusca (synonym Podosphaera xanthii) is the main causal agent of cucurbit powdery mildew and one of the most important limiting factors for cucurbit production worldwide. Although great efforts have been invested in disease control, by contrast, many basic aspects of the biology of P. fusca remain unknown. Taxonomy: Podosphaera fusca (Fr.) Braun \& Shishkoff. Kingdom Fungi; Phylum Ascomycota; Subdivision Pezizomycotina; Class Leotiomycetes; Order Erysiphales; Family Erysiphaceae; genus Podosphaera; species fusca. Identification: Superficial persistent mycelium. Conidia in chains, hyaline, ellipsoid to ovoid or doliform, about 24–40 × 15–22 µm, with cylindrical or cone-shaped fibrosin bodies, which often germinate from a lateral face and produce a broad, clavate germ tube and cylindrical foot-cells. Unbranched erect conidiophores. Cleistothecia globose, mostly 70–100 µm in diameter, dark brown/black. One ascus per cleistothecium with eight ascospores. Host range: Angiosperm species that include several families, such as Asteracea, Cucurbitaceae, Lamiaceae, Scrophulariaceae, Solanaceae and Verbenaceae. Disease symptoms: White colonies develop on leaf surfaces, petioles and stems. Under favourable environmental conditions, the colonies coalesce and the host tissue becomes chlorotic and usually senesces early. Control: Chemical control and the use of resistant cultivars. Resistance has been documented in populations of P. fusca to some of the chemicals registered for control.},
  copyright = {© 2008 Blackwell Publishing Ltd},
  doi       = {10.1111/j.1364-3703.2008.00527.x},
  eprint    = {https://bsppjournals.onlinelibrary.wiley.com/doi/pdf/10.1111/j.1364-3703.2008.00527.x},
  file      = {Snapshot:/Users/adamsparks/Zotero/storage/QACDZPQS/j.1364-3703.2008.00527.html:text/html;Full Text PDF:/Users/adamsparks/Zotero/storage/UVYMMIS2/Pérez‐García et al. - 2009 - The powdery mildew fungus Podosphaera fusca (synon.pdf:application/pdf},
  language  = {en},
  url       = {https://bsppjournals.onlinelibrary.wiley.com/doi/abs/10.1111/j.1364-3703.2008.00527.x},
  urldate   = {2020-08-06},
}

@Misc{AMAGuide,
  author  = {{Australian Mungbean Association}},
  note    = {http://www.mungbean.org.au/best-management-guide.html},
  title   = {Best {Management} {Guide}},
  year    = {2016},
  file    = {Best Management Guide:/Users/adamsparks/Zotero/storage/954DR5LP/best-management-guide.html:text/html},
  url     = {http://www.mungbean.org.au/best-management-guide.html},
  urldate = {2020-08-07},
}

@Book{Campbell1990,
  author    = {Campbell, C. Lee and Madden, Laurence V.},
  publisher = {John Wiley \& Sons.},
  title     = {Introduction to plant disease epidemiology},
  year      = {1990},
}

@Comment{jabref-meta: databaseType:bibtex;}