{"id":10036,"date":"2025-08-27T21:32:46","date_gmt":"2025-08-27T21:32:46","guid":{"rendered":"https:\/\/agri-research-journal.net\/SjarEn\/?p=10036"},"modified":"2025-08-27T21:32:46","modified_gmt":"2025-08-27T21:32:46","slug":"genotype-x-environment-interactions-and-yield-stability-analysis-of-bread-wheat-genotypes-by-using-ammi-biplot-model","status":"publish","type":"post","link":"https:\/\/agri-research-journal.net\/SjarEn\/?p=10036","title":{"rendered":"Genotype x environment interactions and yield stability analysis of bread wheat genotypes by using AMMI biplot model"},"content":{"rendered":"

Hiba Mohammad Mansour*(1)<\/sup> and\u00a0 Boulos Iskander Khoury(<\/sup><\/strong>1)<\/sup><\/strong><\/span><\/p>\n

(1). Field Crops Department, Faculty of Agriculture, Tishreen University, Lattakia, Syria.<\/span><\/p>\n

(* Corresponding author: Hiba Mansour, email: hibamuhammedmansour@gmail.com<\/a>)<\/span><\/p>\n

Received: 25\/2\/2024 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Accepted: 9\/5\/2024<\/span><\/p>\n

Abstract<\/strong><\/span><\/p>\n

Additive main effects and multiplicative interactions (AMMI) model was performed to assess genotype x environment interactions and yield stability for 15 bread wheat genotypes in 4 various locations in Syria (AL-Ghab, Hraison, Himmin, and Darmini) during 2020-2021 season, the experiment was designed using randomized complete block design (R.C.B.D) with three replications in the four locations, the data were statistically analysis using GenStat 12th<\/sup> program. AMMI Biplot analysis combines pooled analysis and principal components analysis (PCA). The results of the pooled analysis showed that there were significant differences between genotypes (G), the tested locations (E), and the interaction between them (GxE), this indicates the necessity of evaluating and testing genotypes in many different locations. The results of variation analysis according to the AMMI model showed that the first and second principal components were significant and explained 88% of the total variances; this indicates the efficiency of this model in representing and interpreting the genotype x environment interactions. AMMI Stability Value (A.S.V) was also estimated to rank the studied genotypes according to their stability; depending on this value the promising line Douma68498 followed by the promising line ACSAD1300 had high stability. The results of AMMI Biplot analysis illustrated that the most stable genotypes were the two promising lines Douma68498 and Douma68467, and the variety Gollan2 showed specific adaptation and good suitability to the Darmini site, while the two promising lines ACSAD1147 and ACSAD1115 adapted to Himmin and Hraison sites. The results also showed that the AL-Ghab site was the best location. The best-studied genotypes that combined superior yield and high stability are the promising lines Douma66241 and Douma66981, representing the ideal genotype desired by plant breeders. This study showed that the AMMI model’s parameters give similar indicators for determining stable genotypes, and they are useful in improving the selection process and releasing new varieties in plant breeding programs using the AMMI Biplot.<\/span><\/p>\n

Keywords<\/strong>: AMMI Biplot, Bread Wheat, Yield Stability, Principal Components Analysis, Ideal Genotype, A.S.V Value.<\/span><\/p>\n

\u00a0Full paper in Arabic: PDF<\/a><\/span><\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"

Hiba Mohammad Mansour*(1) and\u00a0 Boulos Iskander Khoury(1) (1). Field Crops Department, Faculty of Agriculture, Tishreen University, Lattakia, Syria. (* Corresponding author: Hiba Mansour, email: hibamuhammedmansour@gmail.com) Received: 25\/2\/2024 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Accepted: 9\/5\/2024 Abstract Additive main effects and multiplicative interactions (AMMI) model was … Continue reading →<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-10036","post","type-post","status-publish","format-standard","hentry","category-sjar"],"_links":{"self":[{"href":"https:\/\/agri-research-journal.net\/SjarEn\/index.php?rest_route=\/wp\/v2\/posts\/10036","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/agri-research-journal.net\/SjarEn\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/agri-research-journal.net\/SjarEn\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/agri-research-journal.net\/SjarEn\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/agri-research-journal.net\/SjarEn\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=10036"}],"version-history":[{"count":1,"href":"https:\/\/agri-research-journal.net\/SjarEn\/index.php?rest_route=\/wp\/v2\/posts\/10036\/revisions"}],"predecessor-version":[{"id":10039,"href":"https:\/\/agri-research-journal.net\/SjarEn\/index.php?rest_route=\/wp\/v2\/posts\/10036\/revisions\/10039"}],"wp:attachment":[{"href":"https:\/\/agri-research-journal.net\/SjarEn\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=10036"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/agri-research-journal.net\/SjarEn\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=10036"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/agri-research-journal.net\/SjarEn\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=10036"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}