{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T04:55:15Z","timestamp":1790571315792,"version":"4.1.0"},"reference-count":108,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T00:00:00Z","timestamp":1787097600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T00:00:00Z","timestamp":1787097600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/100007917","name":"Agricultural Research Service","doi-asserted-by":"publisher","award":["5030\u201321000\u2010071\u2010000D"],"award-info":[{"award-number":["5030\u201321000\u2010071\u2010000D"]}],"id":[{"id":"10.13039\/100007917","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100005825","name":"National Institute of Food and Agriculture","doi-asserted-by":"publisher","award":["#2021\u201067021\u201035329"],"award-info":[{"award-number":["#2021\u201067021\u201035329"]}],"id":[{"id":"10.13039\/100005825","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100005825","name":"National Institute of Food and Agriculture","doi-asserted-by":"publisher","award":["#2022\u201367013\u201037120"],"award-info":[{"award-number":["#2022\u201367013\u201037120"]}],"id":[{"id":"10.13039\/100005825","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100005825","name":"National Institute of Food and Agriculture","doi-asserted-by":"publisher","award":["#2026\u201067013\u201045812"],"award-info":[{"award-number":["#2026\u201067013\u201045812"]}],"id":[{"id":"10.13039\/100005825","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100005825","name":"National Institute of Food and Agriculture","doi-asserted-by":"publisher","award":["2023\u201070412\u201041087"],"award-info":[{"award-number":["2023\u201070412\u201041087"]}],"id":[{"id":"10.13039\/100005825","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["acsess.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["The Plant Genome"],"published-print":{"date-parts":[[2026,9]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    Improving seed size and weight is a major breeding goal in mungbean (\n                    <jats:italic>Vigna radiata<\/jats:italic>\n                    (L.) R. Wilczek). Improved genomic resources and precision phenotyping may enable more efficient selection for seed trait improvement. In this study, we integrated a deep learning\u2013based segment anything model phenotyping pipeline with genome\u2010wide association studies (GWAS), comparative mapping, and genomic prediction (GP) to dissect the genetic architecture of seed size, shape, and weight traits in the Iowa mungbean diversity panel. The zero\u2010shot segmentation approach reliably captured seed size traits, which exhibited high heritability (\n                    <jats:italic>H<\/jats:italic>\n                    <jats:sup>2<\/jats:sup>\n                    \u00a0&gt;\u00a00.90) and strong correlation with seed weight (\n                    <jats:italic>r<\/jats:italic>\n                    \u00a0&gt;\u00a00.91). A multi\u2010model GWAS identified 82 unique single nucleotide polymorphisms (SNPs) across all seven traits, of which 13 were major pleiotropic SNPs governing multiple seed dimensions, including high\u2010confidence regions on chromosomes 1, 4, and 6 that explained over 20% of the phenotypic variance. Within these SNP regions, comparative mapping highlighted candidate genes including an ABC transporter (\n                    <jats:italic>Virad01G0084400<\/jats:italic>\n                    ) and two colocated candidates, NPGR1 (\n                    <jats:italic>Virad06G0255600<\/jats:italic>\n                    ) and a RING\u2010type E3 ubiquitin\u2010protein ligase (\n                    <jats:italic>Virad06G0255800<\/jats:italic>\n                    ), presented as hypothesis\u2010generating candidates for seed size regulation. GP using genomic best linear unbiased prediction (gBLUP) produced moderate to high accuracies for seed size and weight traits (\n                    <jats:italic>r<\/jats:italic>\n                    \u00a0=\u00a00.76\u20130.84). Incorporating significant GWAS SNPs (gBLUP + SNPs) yielded slight improvements, suggesting the standard gBLUP model is sufficiently robust for selection. Collectively, this study provides the most comprehensive genomic dissection of seed size and weight traits in mungbean to date, providing candidate loci and genomic prediction models that can accelerate genetic improvement for seed yield and quality.\n                  <\/jats:p>","DOI":"10.1002\/tpg2.70294","type":"journal-article","created":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T07:10:08Z","timestamp":1787123408000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Integrative genomics and zero\u2010shot deep learning\u2013based phenotyping reveal the genetic architecture of seed traits in mungbean (\n                    <i>Vigna radiata<\/i>\n                    L.)"],"prefix":"10.1002","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-0216-9156","authenticated-orcid":false,"given":"Venkata Naresh","family":"Boddepalli","sequence":"first","affiliation":[{"name":"Department of Agronomy Iowa State University  Ames Iowa USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4107-1617","authenticated-orcid":false,"given":"Talukder Zaki","family":"Jubery","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering Iowa State University  Ames Iowa USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2777-8034","authenticated-orcid":false,"given":"Steven B.","family":"Cannon","sequence":"additional","affiliation":[{"name":"Department of Agronomy Iowa State University  Ames Iowa USA"},{"name":"USDA\u2010ARS Corn Insects, and Crop Genetics Research Unit  Ames Iowa USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4224-2433","authenticated-orcid":false,"given":"Andrew","family":"Farmer","sequence":"additional","affiliation":[{"name":"National Center for Genome Resources  Santa Fe New Mexico USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5613-8987","authenticated-orcid":false,"given":"Somak","family":"Dutta","sequence":"additional","affiliation":[{"name":"Department of Statistics Iowa State University  Ames Iowa USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8931-4852","authenticated-orcid":false,"given":"Baskar","family":"Ganapathysubramanian","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering Iowa State University  Ames Iowa USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6191-9238","authenticated-orcid":false,"given":"Arti","family":"Singh","sequence":"additional","affiliation":[{"name":"Department of Agronomy Iowa State University  Ames Iowa USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,8,19]]},"reference":[{"key":"e_1_2_12_2_1","doi-asserted-by":"publisher","DOI":"10.3389\/fpls.2024.1436532"},{"key":"e_1_2_12_3_1","doi-asserted-by":"publisher","DOI":"10.1093\/g3journal\/jkaf024"},{"key":"e_1_2_12_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.molp.2024.03.007"},{"key":"e_1_2_12_5_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-024-02580-4"},{"key":"e_1_2_12_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/access.2024.3403520"},{"key":"e_1_2_12_7_1","doi-asserted-by":"publisher","DOI":"10.1111\/nph.17779"},{"key":"e_1_2_12_8_1","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v067.i01"},{"key":"e_1_2_12_9_1","doi-asserted-by":"publisher","DOI":"10.3390\/ijms23137059"},{"key":"e_1_2_12_10_1","first-page":"250","article-title":"Power deceit QTL experiments: Lessons from comparative QTL studies","volume":"49","author":"Beavis W. D.","year":"1994","journal-title":"Proceedings Forty\u2010Ninth Annual Corn Sorghum Industry Research Conference"},{"key":"e_1_2_12_11_1","doi-asserted-by":"publisher","DOI":"10.1111\/nph.70979"},{"key":"e_1_2_12_12_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00122\u2010024\u201004815\u20106"},{"key":"e_1_2_12_13_1","doi-asserted-by":"publisher","DOI":"10.1093\/g3journal\/jkag106"},{"key":"e_1_2_12_14_1","doi-asserted-by":"crossref","unstructured":"Boddepalli V. N. Shen Y. Dutta S. &Singh A.(2026b;).UAV\u2010derived canopy traits as heritable proxies for seedling vigor: Genetic mapping and genomic prediction in mungbean (Vigna radiataL.).ESS OPEN ARCHIVE.https:\/\/doi.org\/10.22541\/essoar.15005308\/v1","DOI":"10.22541\/essoar.15005308\/v1"},{"key":"e_1_2_12_15_1","doi-asserted-by":"publisher","DOI":"10.1002\/agj2.70448"},{"key":"e_1_2_12_16_1","doi-asserted-by":"publisher","DOI":"10.1093\/pcp\/pcac086"},{"key":"e_1_2_12_17_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btm308"},{"key":"e_1_2_12_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00122\u2010016\u20102823\u2010y"},{"key":"e_1_2_12_19_1","doi-asserted-by":"publisher","DOI":"10.1186\/1471\u20102105\u201010\u2010421"},{"key":"e_1_2_12_20_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11032\u2010022\u201001310\u2010y"},{"key":"e_1_2_12_21_1","doi-asserted-by":"publisher","DOI":"10.1002\/ppj2.20062"},{"key":"e_1_2_12_22_1","doi-asserted-by":"publisher","DOI":"10.3389\/fpls.2021.808001"},{"key":"e_1_2_12_23_1","doi-asserted-by":"publisher","DOI":"10.4236\/as.2023.147060"},{"key":"e_1_2_12_24_1","doi-asserted-by":"publisher","DOI":"10.1105\/tpc.114.122663"},{"key":"e_1_2_12_25_1","doi-asserted-by":"publisher","DOI":"10.3389\/fpls.2023.1160418"},{"key":"e_1_2_12_26_1","doi-asserted-by":"publisher","DOI":"10.3835\/plantgenome2011.08.0024"},{"key":"e_1_2_12_27_1","doi-asserted-by":"publisher","DOI":"10.1002\/tpg2.20321"},{"key":"e_1_2_12_28_1","volume-title":"An R companion to applied regression","author":"Fox J.","year":"2019"},{"key":"e_1_2_12_29_1","doi-asserted-by":"publisher","DOI":"10.1002\/gepi.20310"},{"key":"e_1_2_12_30_1","doi-asserted-by":"publisher","DOI":"10.1093\/g3journal\/jkac048"},{"key":"e_1_2_12_31_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1734110100"},{"key":"e_1_2_12_32_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.molp.2018.03.018"},{"key":"e_1_2_12_33_1","doi-asserted-by":"publisher","DOI":"10.3390\/ijms23042109"},{"key":"e_1_2_12_34_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11032\u2010025\u201001585\u2010x"},{"key":"e_1_2_12_35_1","doi-asserted-by":"publisher","DOI":"10.3389\/fpls.2024.1510487"},{"key":"e_1_2_12_36_1","doi-asserted-by":"publisher","DOI":"10.1093\/gigascience\/giy154"},{"key":"e_1_2_12_37_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1439-0523.2005.01084.x"},{"key":"e_1_2_12_38_1","first-page":"698","article-title":"Package \u2018factominer\u2019","volume":"96","author":"Husson F.","year":"2016","journal-title":"An R Package"},{"key":"e_1_2_12_39_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00122\u2010025\u201004983\u2010z"},{"key":"e_1_2_12_40_1","doi-asserted-by":"publisher","DOI":"10.1002\/tpg2.20328"},{"key":"e_1_2_12_41_1","doi-asserted-by":"publisher","DOI":"10.1093\/hr\/uhae337"},{"key":"e_1_2_12_42_1","first-page":"949","article-title":"Assessment of correlation in seed yield and yield contributing characters in mung bean (Vigna radiate L.)","volume":"12","author":"Kadam S. R.","year":"2023","journal-title":"The Pharma Innovation Journal"},{"key":"e_1_2_12_43_1","doi-asserted-by":"publisher","DOI":"10.1038\/ncomms6443"},{"key":"e_1_2_12_44_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.heliyon.2022.e12525"},{"key":"e_1_2_12_45_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11032\u2010025\u201001584\u2010y"},{"key":"e_1_2_12_46_1","doi-asserted-by":"publisher","DOI":"10.3389\/fpls.2015.00626"},{"key":"e_1_2_12_47_1","doi-asserted-by":"crossref","unstructured":"Kirillov A. Mintun E. Ravi N. Mao H. Rolland C. Gustafson L. Xiao T. Whitehead S. Berg A. C. Lo W.\u2010Y. Doll\u00e1r P. &Girshick R.(2023).Segment anything. In2023 IEEE\/CVF international conference on computer vision (ICCV)(pp.3992\u20134003).IEEE.https:\/\/doi.org\/10.1109\/iccv51070.2023.00371","DOI":"10.1109\/ICCV51070.2023.00371"},{"key":"e_1_2_12_48_1","doi-asserted-by":"publisher","DOI":"10.1111\/pbr.13014"},{"key":"e_1_2_12_49_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11032\u2010024\u201001516\u20102"},{"key":"e_1_2_12_50_1","volume-title":"emmeans: Estimated marginal means, aka least\u2010squares means","author":"Lenth R. V.","year":"2017"},{"key":"e_1_2_12_51_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0223898"},{"key":"e_1_2_12_52_1","doi-asserted-by":"publisher","DOI":"10.1080\/10618600.2022.2074428"},{"key":"e_1_2_12_53_1","doi-asserted-by":"publisher","DOI":"10.3389\/fpls.2025.1564079"},{"key":"e_1_2_12_54_1","doi-asserted-by":"publisher","DOI":"10.1111\/mpp.13208"},{"key":"e_1_2_12_55_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41467\u2010024\u201051798\u20105"},{"key":"e_1_2_12_56_1","doi-asserted-by":"crossref","unstructured":"Lin Y.\u2010P. Chen H.\u2010W. Chien C.\u2010C. Lien Y.\u2010H. Ong P.\u2010W. Yeh C.\u2010M. Yeh P.\u2010M. Chai M.\u2010W. Douglas C. A. Alam A. M. Win M. M. Pratap A. Boddepalli V. N. Karimi R. Zohoungbogbo H. P. F. Tignegre J. B. D. L. S. Asibuo J. Y. Binagwa P. H. Mbeyagala E. K. \u2026Lee C.\u2010R.(2025).The demographic history genomic variation and transcontinental genotype\u2010phenotype\u2010environment map of mungbean.bioRxiv.https:\/\/doi.org\/10.1101\/2025.10.16.682767","DOI":"10.1101\/2025.10.16.682767"},{"key":"e_1_2_12_57_1","doi-asserted-by":"publisher","DOI":"10.3389\/fpls.2022.997988"},{"key":"e_1_2_12_58_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pgen.1005767"},{"key":"e_1_2_12_59_1","doi-asserted-by":"publisher","DOI":"10.1007\/s13353\u2010023\u201000774\u20108"},{"key":"e_1_2_12_60_1","doi-asserted-by":"publisher","DOI":"10.3389\/fpls.2023.1209288"},{"key":"e_1_2_12_61_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0168-1923(97)00027-0"},{"key":"e_1_2_12_62_1","doi-asserted-by":"crossref","unstructured":"Morales M. A. Worral H. Piche L. Adeniyi A. S. Dariva F. Ramos C. Hoang K. Yan C. Flores P. &Bandillo N.(2024).High\u2010throughput phenotyping of seed quality traits using imaging and deep learning in dry pea.bioRxiv.https:\/\/doi.org\/10.1101\/2024.03.05.583564","DOI":"10.1101\/2024.03.05.583564"},{"key":"e_1_2_12_63_1","volume-title":"Establishing the international mungbean improvement network","author":"Nair R. M.","year":"2022"},{"key":"e_1_2_12_64_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-20008-4_1"},{"key":"e_1_2_12_65_1","article-title":"Segment anything model for grain characterization in hard drive design","author":"Nichols K.","year":"2024","journal-title":"arXiv"},{"key":"e_1_2_12_66_1","doi-asserted-by":"publisher","DOI":"10.7554\/eLife.85725"},{"key":"e_1_2_12_67_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2023.103540"},{"key":"e_1_2_12_68_1","doi-asserted-by":"publisher","DOI":"10.1111\/pce.15632"},{"key":"e_1_2_12_69_1","doi-asserted-by":"publisher","DOI":"10.1534\/genetics.114.164442"},{"key":"e_1_2_12_70_1","doi-asserted-by":"publisher","DOI":"10.1046\/j.1439\u2010037x.2003.00049.x"},{"key":"e_1_2_12_71_1","doi-asserted-by":"publisher","DOI":"10.1086\/519795"},{"key":"e_1_2_12_72_1","doi-asserted-by":"publisher","DOI":"10.1111\/imb.12905"},{"key":"e_1_2_12_73_1","unstructured":"R Core Team. (2021).R: A language and environment for statistical computing.https:\/\/www.R\u2010project.org\/"},{"key":"e_1_2_12_74_1","doi-asserted-by":"publisher","DOI":"10.3389\/fpls.2022.966244"},{"key":"e_1_2_12_75_1","doi-asserted-by":"publisher","DOI":"10.3389\/fpls.2016.01384"},{"key":"e_1_2_12_76_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598\u2010025\u201099687\u20101"},{"key":"e_1_2_12_77_1","doi-asserted-by":"publisher","DOI":"10.1002\/leg3.70104"},{"key":"e_1_2_12_78_1","doi-asserted-by":"publisher","DOI":"10.1002\/csc2.20322"},{"key":"e_1_2_12_79_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598\u2010025\u201005814\u20103"},{"key":"e_1_2_12_80_1","doi-asserted-by":"publisher","DOI":"10.1002\/leg3.180"},{"key":"e_1_2_12_81_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00122\u2010022\u201004116\u2010w"},{"key":"e_1_2_12_82_1","doi-asserted-by":"publisher","DOI":"10.1002\/ppj2.70013"},{"key":"e_1_2_12_83_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tplants.2020.07.010"},{"key":"e_1_2_12_84_1","doi-asserted-by":"publisher","DOI":"10.1002\/cche.10869"},{"key":"e_1_2_12_85_1","doi-asserted-by":"publisher","DOI":"10.3389\/fpls.2022.944721"},{"key":"e_1_2_12_86_1","doi-asserted-by":"publisher","DOI":"10.1002\/gepi.20068"},{"key":"e_1_2_12_87_1","first-page":"1","volume-title":"2023 IEEE applied imagery pattern recognition workshop (AIPR)","author":"Swartz L. G.","year":"2023"},{"key":"e_1_2_12_88_1","doi-asserted-by":"publisher","DOI":"10.3389\/fpls.2023.1195210"},{"key":"e_1_2_12_89_1","doi-asserted-by":"publisher","DOI":"10.1111\/1467\u20109868.00293"},{"key":"e_1_2_12_90_1","doi-asserted-by":"publisher","DOI":"10.1007\/s42976\u2010020\u201000064\u20107"},{"key":"e_1_2_12_91_1","doi-asserted-by":"publisher","DOI":"10.3389\/fpls.2022.1014282"},{"key":"e_1_2_12_92_1","doi-asserted-by":"publisher","DOI":"10.1002\/tpg2.70002"},{"key":"e_1_2_12_93_1","doi-asserted-by":"publisher","DOI":"10.3168\/jds.2007\u20100980"},{"key":"e_1_2_12_94_1","doi-asserted-by":"publisher","DOI":"10.3389\/fgene.2022.960200"},{"key":"e_1_2_12_95_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.gpb.2021.08.005"},{"key":"e_1_2_12_96_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.atech.2025.101257"},{"key":"e_1_2_12_97_1","volume-title":"Ggplot2: Create elegant data visualisations using the grammar of graphics","author":"Wickham H.","year":"2007"},{"key":"e_1_2_12_98_1","doi-asserted-by":"publisher","DOI":"10.1002\/leg3.70054"},{"key":"e_1_2_12_99_1","doi-asserted-by":"publisher","DOI":"10.1105\/tpc.113.115063"},{"key":"e_1_2_12_100_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jare.2021.05.002"},{"key":"e_1_2_12_101_1","doi-asserted-by":"publisher","DOI":"10.1093\/genetics\/iyab115"},{"key":"e_1_2_12_102_1","doi-asserted-by":"publisher","DOI":"10.1093\/genetics\/165.4.2259"},{"key":"e_1_2_12_103_1","doi-asserted-by":"publisher","DOI":"10.3389\/fnut.2023.1117385"},{"key":"e_1_2_12_104_1","doi-asserted-by":"publisher","DOI":"10.1093\/pcp\/pcac062"},{"key":"e_1_2_12_105_1","doi-asserted-by":"publisher","DOI":"10.1111\/tpj.70096"},{"key":"e_1_2_12_106_1","doi-asserted-by":"publisher","DOI":"10.1038\/ng.546"},{"key":"e_1_2_12_107_1","unstructured":"Zhao K.(2024).Automated phenotyping of seeds using traditional and convolutional neural network\u2010based methods. [Doctoral dissertation Kansas State University].https:\/\/search.proquest.com\/openview\/71f986b37fae2e7fc66800b2f9b9b75e\/1?pq\u2010origsite=gscholar&cbl=18750&diss=y"},{"key":"e_1_2_12_108_1","doi-asserted-by":"publisher","DOI":"10.15258\/sst.2022.50.1.s.05"},{"key":"e_1_2_12_109_1","doi-asserted-by":"publisher","DOI":"10.3389\/fpls.2025.1659781"}],"container-title":["The Plant Genome"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/acsess.onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/tpg2.70294","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/acsess.onlinelibrary.wiley.com\/doi\/full-xml\/10.1002\/tpg2.70294","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/acsess.onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/tpg2.70294","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T04:01:20Z","timestamp":1790568080000},"score":1,"resource":{"primary":{"URL":"https:\/\/acsess.onlinelibrary.wiley.com\/doi\/10.1002\/tpg2.70294"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8,19]]},"references-count":108,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2026,9]]}},"alternative-id":["10.1002\/tpg2.70294"],"URL":"https:\/\/doi.org\/10.1002\/tpg2.70294","archive":["Portico"],"relation":{},"ISSN":["1940-3372","1940-3372"],"issn-type":[{"value":"1940-3372","type":"print"},{"value":"1940-3372","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,8,19]]},"assertion":[{"value":"2026-03-15","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-07-21","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-08-19","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"e70294"}}