diff --git a/citations.tsv b/citations.tsv
index 4f19b5d..d4fd0ba 100644
--- a/citations.tsv
+++ b/citations.tsv
@@ -18,5 +18,8 @@ doi:10.1093/nar/gkac852	doi:10.1093/nar/gkac852	doi:10.1093/nar/gkac852	pk5OwSG6
 doi:10.1111/nph.16544	doi:10.1111/nph.16544	doi:10.1111/nph.16544	kWLsm7g6
 doi:10.1038/ng.1054	doi:10.1038/ng.1054	doi:10.1038/ng.1054	KZc5ayvK
 doi:10.1093/bioinformatics/btq580	doi:10.1093/bioinformatics/btq580	doi:10.1093/bioinformatics/btq580	Wz8l0HlN
+doi:10.1186/1471-2105-15-259	doi:10.1186/1471-2105-15-259	doi:10.1186/1471-2105-15-259	X22hwO1v
+doi:10.3389/fpls.2024.1268847	doi:10.3389/fpls.2024.1268847	doi:10.3389/fpls.2024.1268847	1HmEHgW8h
+doi:10.1007/s10592-024-01611-z	doi:10.1007/s10592-024-01611-z	doi:10.1007/s10592-024-01611-z	x8DIc6zn
 doi:10.1093/gigascience/giz051	doi:10.1093/gigascience/giz051	doi:10.1093/gigascience/giz051	AVjkjraw
 doi:10.1002/ppp3.10187	doi:10.1002/ppp3.10187	doi:10.1002/ppp3.10187	bvSFyrtt
diff --git a/manuscript.html b/manuscript.html
index 7bf8799..90fb0f1 100644
--- a/manuscript.html
+++ b/manuscript.html
@@ -44,7 +44,7 @@
   <meta name="author" content="Valentin Guignon" />
   <meta name="author" content="Laszlo Lang" />
   <meta name="author" content="Vivian Bass Vega" />
-  <meta name="dcterms.date" content="2024-04-18" />
+  <meta name="dcterms.date" content="2024-05-07" />
   <meta name="keywords" content="brapi, breeding, api, standards, community" />
   <title>BrAPI Success Stories</title>
   <style>
@@ -89,11 +89,11 @@
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   <meta property="og:title" content="BrAPI Success Stories" />
   <meta property="twitter:title" content="BrAPI Success Stories" />
-  <meta name="dc.date" content="2024-04-18" />
-  <meta name="citation_publication_date" content="2024-04-18" />
-  <meta property="article:published_time" content="2024-04-18" />
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-  <meta property="article:modified_time" content="2024-04-18T07:25:46+00:00" />
+  <meta name="dc.date" content="2024-05-07" />
+  <meta name="citation_publication_date" content="2024-05-07" />
+  <meta property="article:published_time" content="2024-05-07" />
+  <meta name="dc.modified" content="2024-05-07T18:01:38+00:00" />
+  <meta property="article:modified_time" content="2024-05-07T18:01:38+00:00" />
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   <meta name="citation_language" content="en-US" />
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@@ -217,9 +217,9 @@
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@@ -236,10 +236,10 @@ <h1 class="title">BrAPI Success Stories</h1>
 </header>
 <p><small><em>
 This manuscript
-(<a href="https://plantbreeding.github.io/BrAPI-Manuscript2/v/50ad6b3fb0699c3ec10a6105bf51a4a3d16b81fb/">permalink</a>)
+(<a href="https://plantbreeding.github.io/BrAPI-Manuscript2/v/f8e55569f5cb11fe0ecc7954df3385314242aa77/">permalink</a>)
 was automatically generated
-from <a href="https://github.com/plantbreeding/BrAPI-Manuscript2/tree/50ad6b3fb0699c3ec10a6105bf51a4a3d16b81fb">plantbreeding/BrAPI-Manuscript2@50ad6b3</a>
-on April 18, 2024.
+from <a href="https://github.com/plantbreeding/BrAPI-Manuscript2/tree/f8e55569f5cb11fe0ecc7954df3385314242aa77">plantbreeding/BrAPI-Manuscript2@f8e5556</a>
+on May 7, 2024.
 </em></small></p>
 <h2 id="authors">Authors</h2>
 <ul>
@@ -733,7 +733,8 @@ <h4 id="flapjack">Flapjack</h4>
 <p><a href="https://ics.hutton.ac.uk/flapjack">Flapjack</a> <span class="citation" data-cites="Wz8l0HlN">[<a href="#ref-Wz8l0HlN" role="doc-biblioref">18</a>]</span> is a multi-platform desktop application for data visualization and breeding analysis (eg, pedigree verification, marker-assisted backcrossing and forward breeding) using high-throughput genotype data. Data can be easily imported into Flapjack from any BrAPI compatible data source with genotype data available. <a href="https://github.com/cropgeeks/flapjack-bytes">Flapjack Bytes</a> is a smaller, lightweight and fully web-based counterpart to Flapjack, which can be easily embedded into a database website to provide similar visualizations online. Traditionally supporting its own text-based data formats, Flapjack’s use of BrAPI has streamlined the end-user experience for data import and work is underway to determine the best methods to exchange analysis results using future versions of the API.</p>
 <h4 id="helium">Helium</h4>
 <!-- Peter S: Stub paragraph to stimulate the writing process. Please edit, rewrite, or delete as needed. -->
-<p>Helium is a platform for reviewing and managing pedigree data. It is BrAPI enabled, so pedigree data can be viewed straight from a database.</p>
+<p>Helium (https://helium.hutton.ac.uk) <span class="citation" data-cites="X22hwO1v">[<a href="#ref-X22hwO1v" role="doc-biblioref">19</a>]</span> is a plant pedigree visualization platform designed to account for the specific problems that are unique to plant pedigrees. A pedigree is a representation of how genetically discrete individuals are related to one another and is therefore a representation of the genetic relationship between individual plant lines, their parents and progeny. Plant pedigrees are often used to check for potential genotyping or phenotyping errors, since these errors, by the very nature of Mendelian inheritance, are constrained by the pedigree structure in which they exist (Paterson 2011). The accurate representation of pedigrees, and the ability to pull pedigree data from different data sources is therefore important in plant breeding and genetics and therefore ways to visualize and interact this complex data in meaningful ways is critical.</p>
+<p>From its original desktop interface (https://github.com/cardinalb/helium-docs/wiki), Helium has developed into a web-based visualization platform implementing BrAPI calls to allow users to import data from other BrAPI compliant databases (https://helium.hutton.ac.uk). The ability to pull data from BrAPI compliant data sources has significantly expanded Helium’s capability and utility within the community. Helium is used in projects ranging in size from tens to tens of thousands of lines and across a wide variety of crops and species. While originally designed for plant data <span class="citation" data-cites="1HmEHgW8h">[<a href="#ref-1HmEHgW8h" role="doc-biblioref">20</a>]</span> it has also found utility in other non-plant projects <span class="citation" data-cites="x8DIc6zn">[<a href="#ref-x8DIc6zn" role="doc-biblioref">21</a>]</span> highlighting its broad utility. This also allows Helium users to provide direct dataset links to collaborators allowing the original data to be held with the data provider and utilising Helium for its visualization functionality. Our current Helium deployment includes example BrAPI calls to a barley dataset at Hutton to allow users to test the system and features it offers.</p>
 <h4 id="tassel">Tassel</h4>
 <!-- Peter S: Stub paragraph to stimulate the writing process. Please edit, rewrite, or delete as needed. -->
 <p>I don’t know much about Tassel or its BrAPI compliance. This is filler text for the layout of the manuscript.</p>
@@ -777,7 +778,7 @@ <h4 id="mgis">MGIS</h4>
 <!-- Peter S: Stub paragraph to stimulate the writing process. Please edit, rewrite, or delete as needed. -->
 <p>MGIS has germplasm and genotype data stored for many musa accessions. Through BrAPI, users are able to access this data directly from MusaBase, for use in specific experiments.</p>
 <h4 id="gigwa">GIGWA</h4>
-<p>Gigwa is a JEE web application providing means to centralize, share, finely filter, and visualize high-throughput genotyping data <span class="citation" data-cites="AVjkjraw">[<a href="#ref-AVjkjraw" role="doc-biblioref">19</a>]</span>. Built on top of MongoDB, it is scalable and can support working smoothly with datasets containing billions of genotypes. Installable from docker images or all-in-one bundle archives, it is pretty straightforward to deploy on servers or local computers and has thus been adopted by numerous research institutes from around the world. Notably, Gigwa serves as a collaborative management tool and/or a portal for exposing the data for genebanks and breeding programs for some CGIAR centers <span class="citation" data-cites="bvSFyrtt">[<a href="#ref-bvSFyrtt" role="doc-biblioref">20</a>]</span>. Thus, the amount of data hosted and made widely accessible using this system has kept growing over the last few years.</p>
+<p>Gigwa is a JEE web application providing means to centralize, share, finely filter, and visualize high-throughput genotyping data <span class="citation" data-cites="AVjkjraw">[<a href="#ref-AVjkjraw" role="doc-biblioref">22</a>]</span>. Built on top of MongoDB, it is scalable and can support working smoothly with datasets containing billions of genotypes. Installable from docker images or all-in-one bundle archives, it is pretty straightforward to deploy on servers or local computers and has thus been adopted by numerous research institutes from around the world. Notably, Gigwa serves as a collaborative management tool and/or a portal for exposing the data for genebanks and breeding programs for some CGIAR centers <span class="citation" data-cites="bvSFyrtt">[<a href="#ref-bvSFyrtt" role="doc-biblioref">23</a>]</span>. Thus, the amount of data hosted and made widely accessible using this system has kept growing over the last few years.</p>
 <p>Gigwa developers have been involved in the BrAPI community since 2016 and took part in designing the genotype-related part of the API’s specifications. Its first BrAPI-compliant features were designed for compatibility with the Flapjack visualization tool <span class="citation" data-cites="Wz8l0HlN">[<a href="#ref-Wz8l0HlN" role="doc-biblioref">18</a>]</span> and thus primarily turned it into a BrAPI datasource. Consequently, over time, Gigwa being the first and most reliable application implementing BrAPI-Genotyping server calls, local collaborators and even external partners used it as a reference solution to design a number of tools taking advantage of those features (e.g., <a href="https://webtools.southgreen.fr/BrAPI/Beegmac/">BeegMac</a>, <a href="https://github.com/jframi/snpclust">SnpClust</a>, <a href="https://github.com/icarda-git/QBMS">QBMS</a>). But further use-cases also required Gigwa to be able to consume data from other BrAPI servers, which led to also implement API-client features into the system. Thanks to all this work, a close collaboration was progressively established with the Integrated Breeding Platform team developing the widely used Breeding Management System, that ended up in both applications now being frequently deployed together, Gigwa pulling germplasm or sample metadata from BMS, and BMS displaying Gigwa-hosted genotypes within its own UI.</p>
 <p>Client BrAPI libraries being available for R, community members typically write ad-hoc scripts syndicating data from multiple BrAPI sources (for instance phenotypes from a datasource and genotypes from another) in order to run various kinds of analyses such as GWAS, genomic selection or phylogenetic investigations. As a perspective, we may expect the most generic and widely-used of those pipelines to be at least publicly distributed, and possibly web-interfaced using solutions like R-Shiny in order to provide new, excitingly useful online services, based on Gigwa-hosted data.</p>
 <h4 id="phg">PHG</h4>
@@ -890,11 +891,20 @@ <h2 class="page_break_before" id="references">References</h2>
 <div id="ref-Wz8l0HlN" class="csl-entry" role="doc-biblioentry">
 <div class="csl-left-margin">18. </div><div class="csl-right-inline"><strong>Flapjack—graphical genotype visualization</strong> <div class="csl-block">Iain Milne, Paul Shaw, Gordon Stephen, Micha Bayer, Linda Cardle, William TB Thomas, Andrew J Flavell, David Marshall</div> <em>Bioinformatics</em> (2010-10-18) <a href="https://doi.org/cdvnt8">https://doi.org/cdvnt8</a> <div class="csl-block">DOI: <a href="https://doi.org/10.1093/bioinformatics/btq580">10.1093/bioinformatics/btq580</a> · PMID: <a href="https://www.ncbi.nlm.nih.gov/pubmed/20956241">20956241</a> · PMCID: <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2995120">PMC2995120</a></div></div>
 </div>
+<div id="ref-X22hwO1v" class="csl-entry" role="doc-biblioentry">
+<div class="csl-left-margin">19. </div><div class="csl-right-inline"><strong>Helium: visualization of large scale plant pedigrees</strong> <div class="csl-block">Paul D Shaw, Martin Graham, Jessie Kennedy, Iain Milne, David F Marshall</div> <em>BMC Bioinformatics</em> (2014-08-01) <a href="https://doi.org/f6gfzs">https://doi.org/f6gfzs</a> <div class="csl-block">DOI: <a href="https://doi.org/10.1186/1471-2105-15-259">10.1186/1471-2105-15-259</a> · PMID: <a href="https://www.ncbi.nlm.nih.gov/pubmed/25085009">25085009</a> · PMCID: <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4133633">PMC4133633</a></div></div>
+</div>
+<div id="ref-1HmEHgW8h" class="csl-entry" role="doc-biblioentry">
+<div class="csl-left-margin">20. </div><div class="csl-right-inline"><strong>Unlocking the genetic diversity and population structure of the newly introduced two-row spring European HerItage Barley collecTion (ExHIBiT)</strong> <div class="csl-block">Villő Bernád, Nadia Al-Tamimi, Patrick Langan, Gary Gillespie, Timothy Dempsey, Joey Henchy, Mary Harty, Luke Ramsay, Kelly Houston, Malcolm Macaulay, … Sónia Negrão</div> <em>Frontiers in Plant Science</em> (2024-03-20) <a href="https://doi.org/gtstdn">https://doi.org/gtstdn</a> <div class="csl-block">DOI: <a href="https://doi.org/10.3389/fpls.2024.1268847">10.3389/fpls.2024.1268847</a> · PMID: <a href="https://www.ncbi.nlm.nih.gov/pubmed/38571708">38571708</a> · PMCID: <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10987740">PMC10987740</a></div></div>
+</div>
+<div id="ref-x8DIc6zn" class="csl-entry" role="doc-biblioentry">
+<div class="csl-left-margin">21. </div><div class="csl-right-inline"><strong>Admixture and reproductive skew shape the conservation value of ex situ populations of the Critically Endangered eastern black rhino</strong> <div class="csl-block">Franziska Elsner-Gearing, Petra Kretzschmar, Susanne Shultz, Mark Pilgrim, Deborah Ann Dawson, Gavin John Horsburgh, Jírí Hruby, Jane Hopper, Tony King, Catherine Walton</div> <em>Conservation Genetics</em> (2024-03-22) <a href="https://doi.org/gtstdm">https://doi.org/gtstdm</a> <div class="csl-block">DOI: <a href="https://doi.org/10.1007/s10592-024-01611-z">10.1007/s10592-024-01611-z</a></div></div>
+</div>
 <div id="ref-AVjkjraw" class="csl-entry" role="doc-biblioentry">
-<div class="csl-left-margin">19. </div><div class="csl-right-inline"><strong>Gigwa v2—Extended and improved genotype investigator</strong> <div class="csl-block">Guilhem Sempéré, Adrien Pétel, Mathieu Rouard, Julien Frouin, Yann Hueber, Fabien De Bellis, Pierre Larmande</div> <em>GigaScience</em> (2019-05-01) <a href="https://doi.org/gtp5bz">https://doi.org/gtp5bz</a> <div class="csl-block">DOI: <a href="https://doi.org/10.1093/gigascience/giz051">10.1093/gigascience/giz051</a> · PMID: <a href="https://www.ncbi.nlm.nih.gov/pubmed/31077313">31077313</a> · PMCID: <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6511067">PMC6511067</a></div></div>
+<div class="csl-left-margin">22. </div><div class="csl-right-inline"><strong>Gigwa v2—Extended and improved genotype investigator</strong> <div class="csl-block">Guilhem Sempéré, Adrien Pétel, Mathieu Rouard, Julien Frouin, Yann Hueber, Fabien De Bellis, Pierre Larmande</div> <em>GigaScience</em> (2019-05-01) <a href="https://doi.org/gtp5bz">https://doi.org/gtp5bz</a> <div class="csl-block">DOI: <a href="https://doi.org/10.1093/gigascience/giz051">10.1093/gigascience/giz051</a> · PMID: <a href="https://www.ncbi.nlm.nih.gov/pubmed/31077313">31077313</a> · PMCID: <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6511067">PMC6511067</a></div></div>
 </div>
 <div id="ref-bvSFyrtt" class="csl-entry" role="doc-biblioentry">
-<div class="csl-left-margin">20. </div><div class="csl-right-inline"><strong>A digital catalog of high‐density markers for banana germplasm collections</strong> <div class="csl-block">Mathieu Rouard, Julie Sardos, Guilhem Sempéré, Catherine Breton, Valentin Guignon, Ines Van den Houwe, Sebastien C Carpentier, Nicolas Roux</div> <em>PLANTS, PEOPLE, PLANET</em> (2021-03) <a href="https://doi.org/gtp5bx">https://doi.org/gtp5bx</a> <div class="csl-block">DOI: <a href="https://doi.org/10.1002/ppp3.10187">10.1002/ppp3.10187</a></div></div>
+<div class="csl-left-margin">23. </div><div class="csl-right-inline"><strong>A digital catalog of high‐density markers for banana germplasm collections</strong> <div class="csl-block">Mathieu Rouard, Julie Sardos, Guilhem Sempéré, Catherine Breton, Valentin Guignon, Ines Van den Houwe, Sebastien C Carpentier, Nicolas Roux</div> <em>PLANTS, PEOPLE, PLANET</em> (2021-03) <a href="https://doi.org/gtp5bx">https://doi.org/gtp5bx</a> <div class="csl-block">DOI: <a href="https://doi.org/10.1002/ppp3.10187">10.1002/ppp3.10187</a></div></div>
 </div>
 </div>
 <!-- default theme -->
diff --git a/manuscript.md b/manuscript.md
index 6007d54..54b5fab 100644
--- a/manuscript.md
+++ b/manuscript.md
@@ -7,7 +7,7 @@ keywords:
 - standards
 - community
 lang: en-US
-date-meta: '2024-04-18'
+date-meta: '2024-05-07'
 author-meta:
 - Peter "BrapMan" Selby
 - Trevor "Cool Kid" Rife
@@ -60,11 +60,11 @@ header-includes: |
   <meta name="citation_title" content="BrAPI Success Stories" />
   <meta property="og:title" content="BrAPI Success Stories" />
   <meta property="twitter:title" content="BrAPI Success Stories" />
-  <meta name="dc.date" content="2024-04-18" />
-  <meta name="citation_publication_date" content="2024-04-18" />
-  <meta property="article:published_time" content="2024-04-18" />
-  <meta name="dc.modified" content="2024-04-18T07:25:46+00:00" />
-  <meta property="article:modified_time" content="2024-04-18T07:25:46+00:00" />
+  <meta name="dc.date" content="2024-05-07" />
+  <meta name="citation_publication_date" content="2024-05-07" />
+  <meta property="article:published_time" content="2024-05-07" />
+  <meta name="dc.modified" content="2024-05-07T18:01:38+00:00" />
+  <meta property="article:modified_time" content="2024-05-07T18:01:38+00:00" />
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   <meta name="citation_language" content="en-US" />
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@@ -188,9 +188,9 @@ header-includes: |
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+  <link rel="alternate" type="text/html" href="https://plantbreeding.github.io/BrAPI-Manuscript2/v/f8e55569f5cb11fe0ecc7954df3385314242aa77/" />
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@@ -212,10 +212,10 @@ manubot-clear-requests-cache: false
 
 <small><em>
 This manuscript
-([permalink](https://plantbreeding.github.io/BrAPI-Manuscript2/v/50ad6b3fb0699c3ec10a6105bf51a4a3d16b81fb/))
+([permalink](https://plantbreeding.github.io/BrAPI-Manuscript2/v/f8e55569f5cb11fe0ecc7954df3385314242aa77/))
 was automatically generated
-from [plantbreeding/BrAPI-Manuscript2@50ad6b3](https://github.com/plantbreeding/BrAPI-Manuscript2/tree/50ad6b3fb0699c3ec10a6105bf51a4a3d16b81fb)
-on April 18, 2024.
+from [plantbreeding/BrAPI-Manuscript2@f8e5556](https://github.com/plantbreeding/BrAPI-Manuscript2/tree/f8e55569f5cb11fe0ecc7954df3385314242aa77)
+on May 7, 2024.
 </em></small>
 
 
@@ -828,7 +828,12 @@ Since the release of BrAPI 1.3, efforts have been made to incorporate support fo
 #### Helium
 
 <!-- Peter S: Stub paragraph to stimulate the writing process. Please edit, rewrite, or delete as needed. -->
-Helium is a platform for reviewing and managing pedigree data. It is BrAPI enabled, so pedigree data can be viewed straight from a database. 
+Helium (https://helium.hutton.ac.uk) [@doi:10.1186/1471-2105-15-259] is a plant pedigree visualization platform designed to account for the specific problems that are unique to plant pedigrees. A pedigree is a representation of how genetically discrete individuals are related to one another and is therefore a representation of the genetic relationship between individual plant lines, their parents and progeny. Plant pedigrees are often used to check for potential genotyping or phenotyping errors, since these errors, by the very nature of Mendelian inheritance, are constrained by the pedigree structure in which they exist (Paterson 2011). The accurate representation of pedigrees, and the ability to pull pedigree data from different data sources is therefore important in plant breeding and genetics and therefore ways to visualize and interact this complex data in meaningful ways is critical.
+
+From its original desktop interface (https://github.com/cardinalb/helium-docs/wiki), Helium has developed into a web-based visualization platform implementing BrAPI calls to allow users to import data from other BrAPI compliant databases (https://helium.hutton.ac.uk). The ability to pull data from BrAPI compliant data sources has significantly expanded Helium’s capability and utility within the community. Helium is used in projects ranging in size from tens to tens of thousands of lines and across a wide variety of crops and species. While originally designed for plant data [@doi:10.3389/fpls.2024.1268847] it has also found utility in other non-plant projects [@doi:10.1007/s10592-024-01611-z] highlighting its broad utility. This also allows Helium users to provide direct dataset links to collaborators allowing the original data to be held with the data provider and utilising Helium for its visualization functionality. Our current Helium deployment includes example BrAPI calls to a barley dataset at Hutton to allow users to test the system and features it offers. 
+
+
+
 
 #### Tassel
 
diff --git a/manuscript.pdf b/manuscript.pdf
index b3e0248..1fa0d60 100644
Binary files a/manuscript.pdf and b/manuscript.pdf differ
diff --git a/references.json b/references.json
index 594a514..acd94cd 100644
--- a/references.json
+++ b/references.json
@@ -223,6 +223,71 @@
     "id": "bvSFyrtt",
     "note": "This CSL Item was generated by Manubot v0.5.5 from its persistent identifier (standard_id).\nstandard_id: doi:10.1002/ppp3.10187"
   },
+  {
+    "publisher": "Springer Science and Business Media LLC",
+    "abstract": "<jats:title>Abstract</jats:title><jats:p>Small populations of endangered species risk losing already eroded genetic diversity, important for adaptive potential, through the effects of genetic drift. The magnitude of drift can be mitigated by maximising the effective population size, as is the goal of genetic management strategies. Different mating systems, specifically those leading to reproductive skew, exacerbate genetic drift by distorting contributions. In the absence of an active management strategy, reproductive skew will have long-term effects on the genetic composition of a population, particularly where admixture is present. Here we examine the contrasting effects of conservation management strategies in two ex situ populations of the Critically Endangered eastern black rhino <jats:italic>(Diceros bicornis michaeli)</jats:italic>, one managed as a semi-wild population in South Africa (SAx), and one managed under a mean-kinship breeding strategy in European zoos. We use molecular data to reconstruct pedigrees for both populations and validate the method using the zoo studbook. Using the reconstructed pedigree and studbook we show there is male sex-specific skew in both populations. However, the zoo’s mean-kinship breeding strategy effectively reduces reproductive skew in comparison to a semi-wild population with little genetic management. We also show that strong male reproductive skew in SAx has resulted in extensive admixture, which may require a re-evaluation of the population’s original intended role in the black rhino meta-population. With a high potential for admixture in many ex situ populations of endangered species, molecular and pedigree data remain vital tools for populations needing to balance drift and selection.</jats:p>",
+    "DOI": "10.1007/s10592-024-01611-z",
+    "type": "article-journal",
+    "source": "Crossref",
+    "title": "Admixture and reproductive skew shape the conservation value of ex situ populations of the Critically Endangered eastern black rhino",
+    "author": [
+      {
+        "given": "Franziska",
+        "family": "Elsner-Gearing"
+      },
+      {
+        "given": "Petra",
+        "family": "Kretzschmar"
+      },
+      {
+        "given": "Susanne",
+        "family": "Shultz"
+      },
+      {
+        "given": "Mark",
+        "family": "Pilgrim"
+      },
+      {
+        "given": "Deborah Ann",
+        "family": "Dawson"
+      },
+      {
+        "given": "Gavin John",
+        "family": "Horsburgh"
+      },
+      {
+        "given": "Jírí",
+        "family": "Hruby"
+      },
+      {
+        "given": "Jane",
+        "family": "Hopper"
+      },
+      {
+        "given": "Tony",
+        "family": "King"
+      },
+      {
+        "given": "Catherine",
+        "family": "Walton"
+      }
+    ],
+    "container-title": "Conservation Genetics",
+    "language": "en",
+    "issued": {
+      "date-parts": [
+        [
+          2024,
+          3,
+          22
+        ]
+      ]
+    },
+    "URL": "https://doi.org/gtstdm",
+    "container-title-short": "Conserv Genet",
+    "id": "x8DIc6zn",
+    "note": "This CSL Item was generated by Manubot v0.5.5 from its persistent identifier (standard_id).\nstandard_id: doi:10.1007/s10592-024-01611-z"
+  },
   {
     "publisher": "Springer Science and Business Media LLC",
     "issue": "2",
@@ -1530,6 +1595,54 @@
     "id": "kWLsm7g6",
     "note": "This CSL Item was generated by Manubot v0.5.5 from its persistent identifier (standard_id).\nstandard_id: doi:10.1111/nph.16544"
   },
+  {
+    "publisher": "Springer Science and Business Media LLC",
+    "issue": "1",
+    "DOI": "10.1186/1471-2105-15-259",
+    "type": "article-journal",
+    "source": "Crossref",
+    "title": "Helium: visualization of large scale plant pedigrees",
+    "volume": "15",
+    "author": [
+      {
+        "given": "Paul D",
+        "family": "Shaw"
+      },
+      {
+        "given": "Martin",
+        "family": "Graham"
+      },
+      {
+        "given": "Jessie",
+        "family": "Kennedy"
+      },
+      {
+        "given": "Iain",
+        "family": "Milne"
+      },
+      {
+        "given": "David F",
+        "family": "Marshall"
+      }
+    ],
+    "container-title": "BMC Bioinformatics",
+    "language": "en",
+    "issued": {
+      "date-parts": [
+        [
+          2014,
+          8,
+          1
+        ]
+      ]
+    },
+    "URL": "https://doi.org/f6gfzs",
+    "container-title-short": "BMC Bioinformatics",
+    "PMCID": "PMC4133633",
+    "PMID": "25085009",
+    "id": "X22hwO1v",
+    "note": "This CSL Item was generated by Manubot v0.5.5 from its persistent identifier (standard_id).\nstandard_id: doi:10.1186/1471-2105-15-259"
+  },
   {
     "publisher": "Springer Science and Business Media LLC",
     "issue": "1",
@@ -1725,6 +1838,101 @@
     "URL": "https://doi.org/gtq5n8",
     "note": "This CSL Item was generated by Manubot v0.5.5 from its persistent identifier (standard_id).\nstandard_id: doi:10.22004/ag.econ.266624"
   },
+  {
+    "publisher": "Frontiers Media SA",
+    "abstract": "<jats:p>In the last century, breeding programs have traditionally favoured yield-related traits, grown under high-input conditions, resulting in a loss of genetic diversity and an increased susceptibility to stresses in crops. Thus, exploiting understudied genetic resources, that potentially harbour tolerance genes, is vital for sustainable agriculture. Northern European barley germplasm has been relatively understudied despite its key role within the malting industry. The European Heritage Barley collection (ExHIBiT) was assembled to explore the genetic diversity in European barley focusing on Northern European accessions and further address environmental pressures.  ExHIBiT consists of 363 spring-barley accessions, focusing on two-row type. The collection consists of landraces (~14%), old cultivars (~18%), elite cultivars (~67%) and accessions with unknown breeding history (~1%), with 70% of the collection from Northern Europe. The population structure of the ExHIBiT collection was subdivided into three main clusters primarily based on the accession’s year of release using 26,585 informative SNPs based on 50k iSelect single nucleotide polymorphism (SNP) array data. Power analysis established a representative core collection of 230 genotypically and phenotypically diverse accessions. The effectiveness of this core collection for conducting statistical and association analysis was explored by undertaking genome-wide association studies (GWAS) using 24,876 SNPs for nine phenotypic traits, four of which were associated with SNPs. Genomic regions overlapping with previously characterised flowering genes (HvZTLb) were identified, demonstrating the utility of the ExHIBiT core collection for locating genetic regions that determine important traits. Overall, the ExHIBiT core collection represents the high level of untapped diversity within Northern European barley, providing a powerful resource for researchers and breeders to address future climate scenarios.</jats:p>",
+    "DOI": "10.3389/fpls.2024.1268847",
+    "type": "article-journal",
+    "source": "Crossref",
+    "title": "Unlocking the genetic diversity and population structure of the newly introduced two-row spring European HerItage Barley collecTion (ExHIBiT)",
+    "volume": "15",
+    "author": [
+      {
+        "given": "Villő",
+        "family": "Bernád"
+      },
+      {
+        "given": "Nadia",
+        "family": "Al-Tamimi"
+      },
+      {
+        "given": "Patrick",
+        "family": "Langan"
+      },
+      {
+        "given": "Gary",
+        "family": "Gillespie"
+      },
+      {
+        "given": "Timothy",
+        "family": "Dempsey"
+      },
+      {
+        "given": "Joey",
+        "family": "Henchy"
+      },
+      {
+        "given": "Mary",
+        "family": "Harty"
+      },
+      {
+        "given": "Luke",
+        "family": "Ramsay"
+      },
+      {
+        "given": "Kelly",
+        "family": "Houston"
+      },
+      {
+        "given": "Malcolm",
+        "family": "Macaulay"
+      },
+      {
+        "given": "Paul D.",
+        "family": "Shaw"
+      },
+      {
+        "given": "Sebastian",
+        "family": "Raubach"
+      },
+      {
+        "given": "Kevin P.",
+        "family": "Mcdonnel"
+      },
+      {
+        "given": "Joanne",
+        "family": "Russell"
+      },
+      {
+        "given": "Robbie",
+        "family": "Waugh"
+      },
+      {
+        "given": "Mortaza",
+        "family": "Khodaeiaminjan"
+      },
+      {
+        "given": "Sónia",
+        "family": "Negrão"
+      }
+    ],
+    "container-title": "Frontiers in Plant Science",
+    "issued": {
+      "date-parts": [
+        [
+          2024,
+          3,
+          20
+        ]
+      ]
+    },
+    "URL": "https://doi.org/gtstdn",
+    "container-title-short": "Front. Plant Sci.",
+    "PMCID": "PMC10987740",
+    "PMID": "38571708",
+    "id": "1HmEHgW8h",
+    "note": "This CSL Item was generated by Manubot v0.5.5 from its persistent identifier (standard_id).\nstandard_id: doi:10.3389/fpls.2024.1268847"
+  },
   {
     "publisher": "MDPI AG",
     "issue": "8",
@@ -1915,8 +2123,8 @@
       "date-parts": [
         [
           "2024",
-          4,
-          18
+          5,
+          7
         ]
       ]
     },
@@ -2099,8 +2307,8 @@
       "date-parts": [
         [
           "2024",
-          4,
-          18
+          5,
+          7
         ]
       ]
     },
diff --git a/spelling-error-locations.txt b/spelling-error-locations.txt
index 509dd7c..58868e7 100644
--- a/spelling-error-locations.txt
+++ b/spelling-error-locations.txt
@@ -379,49 +379,57 @@ content/03.04.visualization.md:11:BrAPI
 content/03.04.visualization.md:11:eg
 content/03.04.visualization.md:11:genotype
 content/03.04.visualization.md:11:genotype
-content/03.04.visualization.md:16:BrAPI
-content/03.04.visualization.md:21:BrAPI
-content/03.04.visualization.md:23:BrAPP
+content/03.04.visualization.md:16:genotyping
+content/03.04.visualization.md:16:phenotyping
+content/03.04.visualization.md:18:BrAPI
+content/03.04.visualization.md:18:BrAPI
+content/03.04.visualization.md:18:BrAPI
+content/03.04.visualization.md:18:BrAPI
+content/03.04.visualization.md:18:cardinalb
+content/03.04.visualization.md:18:dataset
+content/03.04.visualization.md:18:dataset
 content/03.04.visualization.md:26:BrAPI
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-content/03.04.visualization.md:26:BrAPI
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-content/03.04.visualization.md:26:BrAPP
-content/03.04.visualization.md:26:BrAPPs
-content/03.04.visualization.md:28:DArTView
+content/03.04.visualization.md:28:BrAPP
+content/03.04.visualization.md:31:BrAPI
+content/03.04.visualization.md:31:BrAPI
+content/03.04.visualization.md:31:BrAPI
 content/03.04.visualization.md:31:BrAPI
 content/03.04.visualization.md:31:BrAPI
-content/03.04.visualization.md:31:DArTView
-content/03.04.visualization.md:31:genotype
-content/03.04.visualization.md:33:DivBrowse
-content/03.04.visualization.md:35:bioinformatics
-content/03.04.visualization.md:35:DivBrowse
-content/03.04.visualization.md:35:genotyping
-content/03.04.visualization.md:36:DivBrowse
-content/03.04.visualization.md:36:DivBrowse
-content/03.04.visualization.md:36:DivBrowse
-content/03.04.visualization.md:36:genomic
-content/03.04.visualization.md:36:genomic
-content/03.04.visualization.md:36:genomic
-content/03.04.visualization.md:36:genomic
-content/03.04.visualization.md:36:genomic
+content/03.04.visualization.md:31:BrAPP
+content/03.04.visualization.md:31:BrAPP
+content/03.04.visualization.md:31:BrAPPs
+content/03.04.visualization.md:33:DArTView
+content/03.04.visualization.md:36:BrAPI
+content/03.04.visualization.md:36:BrAPI
+content/03.04.visualization.md:36:DArTView
 content/03.04.visualization.md:36:genotype
-content/03.04.visualization.md:36:genotyping
-content/03.04.visualization.md:36:germplasm
-content/03.04.visualization.md:36:heterozygous
-content/03.04.visualization.md:36:PCAs
-content/03.04.visualization.md:36:VCF
-content/03.04.visualization.md:37:BrAPI
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-content/03.04.visualization.md:37:genomic
-content/03.04.visualization.md:37:genotypes
-content/03.04.visualization.md:37:genotypic
-content/03.04.visualization.md:37:genotypic
+content/03.04.visualization.md:38:DivBrowse
+content/03.04.visualization.md:40:bioinformatics
+content/03.04.visualization.md:40:DivBrowse
+content/03.04.visualization.md:40:genotyping
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+content/03.04.visualization.md:41:genotype
+content/03.04.visualization.md:41:genotyping
+content/03.04.visualization.md:41:germplasm
+content/03.04.visualization.md:41:heterozygous
+content/03.04.visualization.md:41:PCAs
+content/03.04.visualization.md:41:VCF
+content/03.04.visualization.md:42:BrAPI
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 content/03.05.analytics.md:1:Analytics
 content/03.05.analytics.md:5:BrAPI
 content/03.05.analytics.md:8:QBMS
diff --git a/spelling-errors.txt b/spelling-errors.txt
index 5bbdd54..fb51bc8 100644
--- a/spelling-errors.txt
+++ b/spelling-errors.txt
@@ -27,7 +27,7 @@ BIMS
 Bingen
 Bioeconomy
 BioinfOmics
-bioinformatics
+Bioinformatics
 BioSC
 Bioversity
 BMS
@@ -93,10 +93,10 @@ genomic
 genotype
 genotypes
 genotypic
-genotyping
+Genotyping
 Geosciences
 germplasm
-GIGWA
+Gigwa
 GLIS
 GmbH
 Gouripriya
@@ -109,8 +109,8 @@ GuilhemSempere
 GWAS
 Habito
 hackathon
-hackathons
-Haplotype
+Hackathons
+haplotype
 haplotypes
 heterozygous
 hoc
@@ -174,11 +174,11 @@ pangenome
 PCAs
 PGR
 PGRFA
-Phenome
+PHENOME
 phenomic
 Phenospex
 phenotypes
-phenotypic
+Phenotypic
 Phenotyping
 PHG
 PHIS’s
@@ -190,7 +190,7 @@ programmatically
 programme
 QBMS
 QTL
-Raubach
+raubach
 Rhein
 Rosaceae
 rPHG
diff --git a/variables.json b/variables.json
index 5847154..3bf3f9e 100644
--- a/variables.json
+++ b/variables.json
@@ -9,7 +9,7 @@
       "community"
     ],
     "lang": "en-US",
-    "date-meta": "2024-04-18",
+    "date-meta": "2024-05-07",
     "author-meta": [
       "Peter \"BrapMan\" Selby",
       "Trevor \"Cool Kid\" Rife",
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