Aziz Ur Rahman, F. Rehman, Syed Mehr ALİ SHAH, Muhammad ALİ SHAH, Syed Majid Rasheed
{"title":"利用安米双图技术对水稻近交系重组的生产性状进行加性主效应和乘性互作分析","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":"{\"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}","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}
ADDITIVE MAIN EFFECT AND MULTIPLICATIVE INTERACTION ANALYSIS FOR PRODUCTION TRAITS IN RICE RECOMBINANT INBRED LINES USING AMMI BIPLOT TECHNIQUE
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.