{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,17]],"date-time":"2026-10-17T19:21:02Z","timestamp":1792264862656,"version":"4.4.0"},"reference-count":67,"publisher":"MDPI AG","issue":"21","license":[{"start":{"date-parts":[[2023,10,26]],"date-time":"2023-10-26T00:00:00Z","timestamp":1698278400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"ICAR-BMG Project","award":["12-229"],"award-info":[{"award-number":["12-229"]}]},{"name":"ICAR-BMG Project","award":["21-51"],"award-info":[{"award-number":["21-51"]}]},{"name":"ICAR-IRA","award":["12-229"],"award-info":[{"award-number":["12-229"]}]},{"name":"ICAR-IRA","award":["21-51"],"award-info":[{"award-number":["21-51"]}]},{"name":"ICAR-Indian Agricultural Research Institute (IARI), New Delhi","award":["12-229"],"award-info":[{"award-number":["12-229"]}]},{"name":"ICAR-Indian Agricultural Research Institute (IARI), New Delhi","award":["21-51"],"award-info":[{"award-number":["21-51"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Plants"],"abstract":"<jats:p>Identifying a congenially targeted production environment and understanding the effects of genotype by environmental interactions on the adaption of chickpea genotypes is essential for achieving an optimal yield stability. Different models like additive main effect and multiplicative interactions (AMMI 1, AMM2), weighted average absolute scores of BLUPs (WAASB), and genotype plus genotype\u2013environment (GGE) interactions were used to understand their suitability in the precise estimation of variance and their interaction. Our experiment used genotypes that represent the West Asia\u2013North Africa (WANA) region. This trial involved two different sowing dates, two distinct seasons, and three different locations, resulting in a total of 12 environments. Genotype IG 5871(G1) showed a lower heat susceptibility index (HSI) across environments under study. The first four interactions principal component axis (IPCA) explain 93.2% of variations with significant genotype\u2013environment interactions. Considering the AMMI stability value (ASV), the genotypes IG5862(G7), IG5861(G6), ILC239(G40), IG6002(G26), and ILC1932(G39), showing ASV scores of 1.66, 1.80, 2.20, 2.60, and 2.84, respectively, were ranked as the most stable and are comparable to the weighted average absolute scores of BLUPs (WAASB) ranking of genotypes. The which\u2013won\u2013where pattern of genotype plus genotype\u2013environment (GGE) interactions suggested that the target environment consists of one mega environment. IG5866(G10), IG5865(G9), IG5884(G14), and IG5862(G7) displayed higher stability, as they were nearer to the origin. The genotypes that exhibited a superior performance in the tested environments can serve as ideal parental lines for heat-stress tolerance breeding programs. The weighted average absolute scores of BLUPs (WAASB) serve as an ideal tool to discern the variations and identify the stable genotype among all methods.<\/jats:p>","DOI":"10.3390\/plants12213691","type":"journal-article","created":{"date-parts":[[2023,10,26]],"date-time":"2023-10-26T06:20:16Z","timestamp":1698301216000},"page":"3691","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["A Multi-Model Based Stability Analysis Employing Multi-Environmental Trials (METs) Data for Discerning Heat Tolerance in Chickpea (Cicer arietinum L.) Landraces"],"prefix":"10.3390","volume":"12","author":[{"given":"Thippeswamy","family":"Danakumara","sequence":"first","affiliation":[{"name":"ICAR\u2014Indian Agricultural Research Institute, New Delhi 110012, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tapan","family":"Kumar","sequence":"additional","affiliation":[{"name":"International Centre for Agricultural Research in the Dry Areas, Sehore 466113, Madhya Pradesh, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4908-2249","authenticated-orcid":false,"given":"Neeraj","family":"Kumar","sequence":"additional","affiliation":[{"name":"ICAR\u2014Indian Agricultural Research Institute, New Delhi 110012, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Basavanagouda Siddanagouda","family":"Patil","sequence":"additional","affiliation":[{"name":"ICAR\u2014Indian Agricultural Research Institute, New Delhi 110012, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1651-7878","authenticated-orcid":false,"given":"Chellapilla","family":"Bharadwaj","sequence":"additional","affiliation":[{"name":"ICAR\u2014Indian Agricultural Research Institute, New Delhi 110012, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Umashankar","family":"Patel","sequence":"additional","affiliation":[{"name":"ICAR\u2014Indian Agricultural Research Institute, New Delhi 110012, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nilesh","family":"Joshi","sequence":"additional","affiliation":[{"name":"ICAR\u2014Indian Agricultural Research Institute, New Delhi 110012, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shayla","family":"Bindra","sequence":"additional","affiliation":[{"name":"Department of Plant Breeding & Genetics, Punjab Agricultural University, Ludhiana 141027, Panjab, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shailesh","family":"Tripathi","sequence":"additional","affiliation":[{"name":"ICAR\u2014Indian Institute of Pulses Research, Kanpur 282004, Uttar Pradesh, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4562-9131","authenticated-orcid":false,"given":"Rajeev Kumar","family":"Varshney","sequence":"additional","affiliation":[{"name":"Centre for Crop & Food Innovation, Murdoch University, Murdoch, WA 6150, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sushil Kumar","family":"Chaturvedi","sequence":"additional","affiliation":[{"name":"Department of Genetics & Plant Breeding, Rani Lakshmi Bai Central Agricultural University, Jhansi 284003, Uttar Pradesh, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,10,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1615718","DOI":"10.1080\/23311932.2019.1615718","article-title":"Economic Importance of Chickpea: Production, Value and World Trade","volume":"5","author":"Merga","year":"2019","journal-title":"Cogent Food Agric."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1007\/s10681-023-03172-7","article-title":"Introgression of Morphological, Phenological, and Productivity Traits Along with Disease Resistance from Cicer pinnatifidum into Cultivated Chickpea: A Success Story","volume":"219","author":"Salaria","year":"2023","journal-title":"Euphytica"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"e167","DOI":"10.1002\/leg3.167","article-title":"Identification of diverse agronomic traits in chickpea (Cicer arietinum L.) germplasm lines to use in crop improvement","volume":"5","author":"Nabati","year":"2023","journal-title":"Legume Sci."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1017\/S1479262110000407","article-title":"Large genetic variation for heat tolerance in the reference collection of chickpea (Cicer arietinum L.) germplasm","volume":"9","author":"Krishnamurthy","year":"2011","journal-title":"Plant Genet. 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