Mithlesh Kumar, M. Patel, R. Chauhan, C. Tank, S. Solanki, R. Gami, N. Soni, Pratikkumar A. Patel, Pratikkumar A. Patel, H. Bhadauria, N. Patel, R. Patel, K. Rani
{"title":"用AMMI方法描述印度甘薯根属性的G × E相互作用[j]Dunal]","authors":"Mithlesh Kumar, M. Patel, R. Chauhan, C. Tank, S. Solanki, R. Gami, N. Soni, Pratikkumar A. Patel, Pratikkumar A. Patel, H. Bhadauria, N. Patel, R. Patel, K. Rani","doi":"10.31742/ijgpb.80.4.10","DOIUrl":null,"url":null,"abstract":"In the present study, additive main effects and multiplicative interactions (AMMI) biplot analyses was used to dissect genotype x environment interaction (GEI) and to identify location specific and widely adapted genotypes for root branches, diameter and length in ashwagandha [Withania somnifera (L.) Dunal]. Trials were conducted in randomized complete block design (RCBD) with two replications over three consecutive years at three different locations. ANOVA analysis revealed environment, G×E interaction and genotype effects to contribute significantly (p less than 0.001) towards total sum of squares for root branches (61.00%, 22.18% and 14.00%); root diameter (51.06%, 24.26% and 15.34%) and root length (65.67%, 20.82% and 11.39%). Further, the GEI for these traits was mostly explained by the first, second and third principal component axis (IPCA1, IPCA2 and IPCA3). AMMI1 and AMMI2 biplot analyses showed differential stability of genotypes for root branches, diameter and length with few exceptions. Environmental contribution towards the genotypic performance from AMMI1 and AMMI2 analysis for root traits except environment Bhi16 contribution for root diameter and root length. AMMI1 biplots and simultaneous selection index (SSI) statistics identified SKA-11 as the most desirable genotype for root branches and length while SKA-26 and SKA-27 for root diameter. The ashwagandha genotypes identified for root attributes could be advocated either for varietal recommendation or in varietal development program.","PeriodicalId":13321,"journal":{"name":"Indian Journal of Genetics and Plant Breeding","volume":null,"pages":null},"PeriodicalIF":1.0000,"publicationDate":"2020-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Delineating G × E interactions by AMMI method for root attributes in ashwagandha [Withania somnifera (L.) Dunal]\",\"authors\":\"Mithlesh Kumar, M. Patel, R. Chauhan, C. Tank, S. Solanki, R. Gami, N. Soni, Pratikkumar A. Patel, Pratikkumar A. Patel, H. Bhadauria, N. Patel, R. Patel, K. Rani\",\"doi\":\"10.31742/ijgpb.80.4.10\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the present study, additive main effects and multiplicative interactions (AMMI) biplot analyses was used to dissect genotype x environment interaction (GEI) and to identify location specific and widely adapted genotypes for root branches, diameter and length in ashwagandha [Withania somnifera (L.) Dunal]. Trials were conducted in randomized complete block design (RCBD) with two replications over three consecutive years at three different locations. ANOVA analysis revealed environment, G×E interaction and genotype effects to contribute significantly (p less than 0.001) towards total sum of squares for root branches (61.00%, 22.18% and 14.00%); root diameter (51.06%, 24.26% and 15.34%) and root length (65.67%, 20.82% and 11.39%). Further, the GEI for these traits was mostly explained by the first, second and third principal component axis (IPCA1, IPCA2 and IPCA3). AMMI1 and AMMI2 biplot analyses showed differential stability of genotypes for root branches, diameter and length with few exceptions. Environmental contribution towards the genotypic performance from AMMI1 and AMMI2 analysis for root traits except environment Bhi16 contribution for root diameter and root length. AMMI1 biplots and simultaneous selection index (SSI) statistics identified SKA-11 as the most desirable genotype for root branches and length while SKA-26 and SKA-27 for root diameter. 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Delineating G × E interactions by AMMI method for root attributes in ashwagandha [Withania somnifera (L.) Dunal]
In the present study, additive main effects and multiplicative interactions (AMMI) biplot analyses was used to dissect genotype x environment interaction (GEI) and to identify location specific and widely adapted genotypes for root branches, diameter and length in ashwagandha [Withania somnifera (L.) Dunal]. Trials were conducted in randomized complete block design (RCBD) with two replications over three consecutive years at three different locations. ANOVA analysis revealed environment, G×E interaction and genotype effects to contribute significantly (p less than 0.001) towards total sum of squares for root branches (61.00%, 22.18% and 14.00%); root diameter (51.06%, 24.26% and 15.34%) and root length (65.67%, 20.82% and 11.39%). Further, the GEI for these traits was mostly explained by the first, second and third principal component axis (IPCA1, IPCA2 and IPCA3). AMMI1 and AMMI2 biplot analyses showed differential stability of genotypes for root branches, diameter and length with few exceptions. Environmental contribution towards the genotypic performance from AMMI1 and AMMI2 analysis for root traits except environment Bhi16 contribution for root diameter and root length. AMMI1 biplots and simultaneous selection index (SSI) statistics identified SKA-11 as the most desirable genotype for root branches and length while SKA-26 and SKA-27 for root diameter. The ashwagandha genotypes identified for root attributes could be advocated either for varietal recommendation or in varietal development program.
期刊介绍:
Advance the cause of genetics and plant breeding and to encourage and promote study and research in these disciplines in the service of agriculture; to disseminate the knowledge of genetics and plant breeding; provide facilities for association and conference among students of genetics and plant breeding and for encouragement of close relationship between them and those in the related sciences; advocate policies in the interest of the nation in the field of genetics and plant breeding, and facilitate international cooperation in the field of genetics and plant breeding.