{"title":"分析三麦品系的基因型与环境之间的相互作用","authors":"H. Stoyanov, V. Baychev","doi":"10.17930/agl2023224","DOIUrl":null,"url":null,"abstract":"In order to determine to what degree the different conditions affected the stability of certain triticale genotypes and to what extent they determined the effect of the genotype x environment interaction, 12 lines of winter hexaploid triticale were studied under contrasting growing periods. The results from the AMMI-analysis showed that the GxE interaction accounted for 14.8% of the total variation of yield, while four significant principal components could explain 96% of its variance. The PCA analysis demonstrate that the first component related to the action of the meteorological conditions during 2015/2016 and 2019/2020 growing periods, and had the highest effect on the interaction. The AMMI-based biplot graphs revealed that the behavior of the local check Kolorit and lines G2 and G7 was the most stable according to the different periods affecting the genotype x environment interaction, while G1, G6 and G11 also had lower interaction with the conditions of the environment, but only during certain periods. Such characteristics allowed involving these lines in testing under the varied soil and climatic conditions of Bulgaria.","PeriodicalId":44979,"journal":{"name":"AgroLife Scientific Journal","volume":"76 10","pages":""},"PeriodicalIF":0.6000,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"ANALYSIS OF GENOTYPE X ENVIRONMENT INTERACTION IN TRITICALE LINES WITH AMMI AND PCA\",\"authors\":\"H. Stoyanov, V. Baychev\",\"doi\":\"10.17930/agl2023224\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to determine to what degree the different conditions affected the stability of certain triticale genotypes and to what extent they determined the effect of the genotype x environment interaction, 12 lines of winter hexaploid triticale were studied under contrasting growing periods. The results from the AMMI-analysis showed that the GxE interaction accounted for 14.8% of the total variation of yield, while four significant principal components could explain 96% of its variance. The PCA analysis demonstrate that the first component related to the action of the meteorological conditions during 2015/2016 and 2019/2020 growing periods, and had the highest effect on the interaction. The AMMI-based biplot graphs revealed that the behavior of the local check Kolorit and lines G2 and G7 was the most stable according to the different periods affecting the genotype x environment interaction, while G1, G6 and G11 also had lower interaction with the conditions of the environment, but only during certain periods. Such characteristics allowed involving these lines in testing under the varied soil and climatic conditions of Bulgaria.\",\"PeriodicalId\":44979,\"journal\":{\"name\":\"AgroLife Scientific Journal\",\"volume\":\"76 10\",\"pages\":\"\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2023-12-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"AgroLife Scientific Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17930/agl2023224\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"AGRONOMY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"AgroLife Scientific Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17930/agl2023224","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"AGRONOMY","Score":null,"Total":0}
ANALYSIS OF GENOTYPE X ENVIRONMENT INTERACTION IN TRITICALE LINES WITH AMMI AND PCA
In order to determine to what degree the different conditions affected the stability of certain triticale genotypes and to what extent they determined the effect of the genotype x environment interaction, 12 lines of winter hexaploid triticale were studied under contrasting growing periods. The results from the AMMI-analysis showed that the GxE interaction accounted for 14.8% of the total variation of yield, while four significant principal components could explain 96% of its variance. The PCA analysis demonstrate that the first component related to the action of the meteorological conditions during 2015/2016 and 2019/2020 growing periods, and had the highest effect on the interaction. The AMMI-based biplot graphs revealed that the behavior of the local check Kolorit and lines G2 and G7 was the most stable according to the different periods affecting the genotype x environment interaction, while G1, G6 and G11 also had lower interaction with the conditions of the environment, but only during certain periods. Such characteristics allowed involving these lines in testing under the varied soil and climatic conditions of Bulgaria.