Aziz Ur Rahman, F. Rehman, Syed Mehr ALİ SHAH, Muhammad ALİ SHAH, Syed Majid Rasheed
{"title":"ADDITIVE MAIN EFFECT AND MULTIPLICATIVE INTERACTION ANALYSIS FOR PRODUCTION TRAITS IN RICE RECOMBINANT INBRED LINES USING AMMI BIPLOT TECHNIQUE","authors":"Aziz Ur Rahman, F. Rehman, Syed Mehr ALİ SHAH, Muhammad ALİ SHAH, Syed Majid Rasheed","doi":"10.17557/tjfc.1325433","DOIUrl":null,"url":null,"abstract":"The experiment was performed to assess the performance of 87 rice recombinant inbred lines (RILs), identify the productive environments and quantify genotype × environment interaction (GEI) effects on yield and yield related traits across four locations of the Khyber Pakhtunkhwa Province-Pakistan during 2021 and 2022. The pooled ANOVA showed significant differences of GEI for all traits. Across the studied environments, RIL AUP-3 took minimum days to heading (139) and produced the highest grain yield (4.1 t ha-1). AUP-3 and AUP-30 displayed the higher grains panicle-1 of 214 and 226, respectively. Based on AMMI1 and AMMI2 biplots, RIL AUP-3 was unanimously declared as the most stable and high yielding genotype. AMMI biplot analysis cumulatively explained 55.3 %, 46.3 % and 52.1% of total variation due to GEI for days to maturity, grains panicle-1 and grain yield, respectively. The AMMI biplot analysis confirmed the differential response of genotypes across environments, suggesting environment-based expression of genes. The AMMI biplot also manifested AUP-3 and AUP-30 as ideal genotypes for grains panicle-1 and grain yield, respectively. The Peshawar (E-1 and E-5) and Mingora (E-2) appeared to be the most discriminating and representative environment for grains panicle-1 and grain yield. Application of various stability models in this study identified AUP-3 and AUP-30 as the most stable and widely adapted genotype for grain yield and its components. Therefore, recommended for commercialization.","PeriodicalId":23385,"journal":{"name":"Turkish Journal of Field Crops","volume":"65 1","pages":""},"PeriodicalIF":1.0000,"publicationDate":"2023-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Turkish Journal of Field Crops","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.17557/tjfc.1325433","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"AGRONOMY","Score":null,"Total":0}
引用次数: 0
Abstract
The experiment was performed to assess the performance of 87 rice recombinant inbred lines (RILs), identify the productive environments and quantify genotype × environment interaction (GEI) effects on yield and yield related traits across four locations of the Khyber Pakhtunkhwa Province-Pakistan during 2021 and 2022. The pooled ANOVA showed significant differences of GEI for all traits. Across the studied environments, RIL AUP-3 took minimum days to heading (139) and produced the highest grain yield (4.1 t ha-1). AUP-3 and AUP-30 displayed the higher grains panicle-1 of 214 and 226, respectively. Based on AMMI1 and AMMI2 biplots, RIL AUP-3 was unanimously declared as the most stable and high yielding genotype. AMMI biplot analysis cumulatively explained 55.3 %, 46.3 % and 52.1% of total variation due to GEI for days to maturity, grains panicle-1 and grain yield, respectively. The AMMI biplot analysis confirmed the differential response of genotypes across environments, suggesting environment-based expression of genes. The AMMI biplot also manifested AUP-3 and AUP-30 as ideal genotypes for grains panicle-1 and grain yield, respectively. The Peshawar (E-1 and E-5) and Mingora (E-2) appeared to be the most discriminating and representative environment for grains panicle-1 and grain yield. Application of various stability models in this study identified AUP-3 and AUP-30 as the most stable and widely adapted genotype for grain yield and its components. Therefore, recommended for commercialization.