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Uncovering rain-fed resilience power of grass pea in Iran using AMMI, BLUP, and multi-trait stability parameters

cris.lastimport.scopus2025-10-23T06:56:58Z
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cris.virtual.author-orcid0000-0003-3721-6473
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cris.virtualsource.author-orcid3fe42726-36c4-478a-818f-a10f72d4a6ef
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dc.abstract.enRain-fed regions have a low quantity of rainfall with an asymmetric distribution. Therefore, by promoting plants like Lathyrus sativus L., as a legume adapted to unfavorable environments, genotypes with high fodder capacity under such conditions would assist food security worldwide. Here, 16 grass pea genotypes were examined in four rain-fed regions during 2016–2017, 2017–2018, and 2018–2019. Dry fodder yield (DY), plant height (PH), days to flowering (DF), and wet fodder yield (WY) were recorded across 12 test environments. Regarding MLM analysis of variance, LRTENV and LRTENV×GEN were significant for all studied traits. Phenotypic variance ranged between 1.42 (DY) to 86.9 (PH). Results showed the possibility of grass pea improvement through selection regarding calculated accuracy of selection (> 0.5). PLS regression emphasized the significant role of rainfall during December, January, February, March and April on DY and WY of grass pea. The DY of 16 genotypes across environments varied between 3.4 t/ha (G12 and G16) to 4.6 t/ha (G11). The WY also varied between 16.9 t/ha (G12) and 22.0 t/ha (G8). AMMI analysis revealed G2, and G6 and BLUP-based indices showed G8, and G11 as climate-resilient genotypes with stable DY and WY in rain-fed regions. In this study, WAASB×DY and WAASB×WY plots with equal weights of 50/50 for stability and performance showed G2, G6 as stable genotypes with high DY and WY values. Simultaneous selection based on overall recorded traits using MTSI index addressed G9 > G2 as promising genotypes. Although the polygon view of genotype by yield*trait depicted G1 and G11 as promising grass pea genotypes but G2, and G9 also had positive intermediate superiority indexes without any weakness considering studied traits. It is concluded WAASB×yield > AMMI > BLUP in terms of comprehensiveness in yield stability analysis of grass pea. Also, superiority index as complementary statistics could be incorporated into simultaneous multi-trait stability approaches for achieving exact selection. The identified grass pea genotypes have promising potential in rain-fed regions and could be good candidates for commercial production.
dc.affiliationWydział Inżynierii Środowiska i Inżynierii Mechanicznej
dc.affiliation.instituteKatedra Inżynierii Biosystemów
dc.contributor.authorMaleki, Hamid Hatami
dc.contributor.authorVaezi, Behrouz
dc.contributor.authorPirooz, Reza
dc.contributor.authorDarvishzadeh, Reza
dc.contributor.authorModareskia, Mohsen
dc.contributor.authorDadashi, Somayyeh
dc.contributor.authorNiedbała, Gniewko
dc.date.access2025-08-06
dc.date.accessioned2025-08-06T06:21:02Z
dc.date.available2025-08-06T06:21:02Z
dc.date.copyright2025-07-28
dc.date.issued2025
dc.description.accesstimeat_publication
dc.description.bibliographyil., bibliogr.
dc.description.financepublication_nocost
dc.description.financecost0,00
dc.description.if3,9
dc.description.points140
dc.description.versionfinal_published
dc.description.volume15
dc.identifier.doi10.1038/s41598-025-13756-z
dc.identifier.issn2045-2322
dc.identifier.urihttps://sciencerep.up.poznan.pl/handle/item/4090
dc.identifier.weblinkhttps://www.nature.com/articles/s41598-025-13756-z
dc.languageen
dc.pbn.affiliationenvironmental engineering, mining and energy
dc.relation.ispartofScientific Reports
dc.relation.pagesart. 27379
dc.rightsCC-BY-NC-ND
dc.sciencecloudsend
dc.share.typeOPEN_JOURNAL
dc.subject.enAMMI
dc.subject.enBLUP
dc.subject.enLathyrus sativus L.
dc.subject.enWAASB parameter
dc.subject.enmulti-trait stability
dc.subject.ensuperiority index
dc.titleUncovering rain-fed resilience power of grass pea in Iran using AMMI, BLUP, and multi-trait stability parameters
dc.typeJournalArticle
dspace.entity.typePublication
oaire.citation.issue1
oaire.citation.volume15