Elucidation of genotype-environment interactions and genetic stability parameters for yield, quality and agromorphological traits in ashwagandha
The present study was undertaken to delineate genotype-environment interactions and stability status of 16 genotypes of ashwagandha (Withania somnifera (L.) Dunal) in context to the 12 characters, namely plant height, number of primary branches, number of secondary branches, days to flowering, days...
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| Veröffentlicht in: | Journal of genetics 2020-12, Vol.99 (1) |
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| container_title | Journal of genetics |
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| creator | KUMAR, MITHLESH PATEL, MANUBHAI CHAUHAN, RAVINDRASINGH TANK, CHANDRESH SOLANKI, SATYANARAYAN PATEL, PRAVINBHAI BHADAURIA, HITENDRA |
| description | The present study was undertaken to delineate genotype-environment interactions and stability status of 16 genotypes of ashwagandha (Withania somnifera (L.) Dunal) in context to the 12 characters, namely plant height, number of primary branches, number of secondary branches, days to flowering, days to maturity, number of berries, number of seeds/berry, root length, root diameter, root branches, dry root yield and total alkaloid content (%). Experiment was carried out in a randomized complete block design with three replications over three different locations (S. K. Nagar, Jagudan and Bhiloda) in north Gujarat for three years (2016-17, 2017-18 and 2018-19). Pooled analysis of variance revealed that the mean squares due to genotypes and genotype x environment interaction along with linear and nonlinear components were highly significant (P |
| doi_str_mv | 10.1007/s12041-020-01207-9 |
| format | Article |
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Dunal) in context to the 12 characters, namely plant height, number of primary branches, number of secondary branches, days to flowering, days to maturity, number of berries, number of seeds/berry, root length, root diameter, root branches, dry root yield and total alkaloid content (%). Experiment was carried out in a randomized complete block design with three replications over three different locations (S. K. Nagar, Jagudan and Bhiloda) in north Gujarat for three years (2016-17, 2017-18 and 2018-19). Pooled analysis of variance revealed that the mean squares due to genotypes and genotype x environment interaction along with linear and nonlinear components were highly significant (P<0.01) for most of the traits under study. Stability parameters for component traits through Eberhart and Russell model showed that genotypes that can be used directly in breeding programme are SKA-4 for early flowering, SKA-21 for early maturity and SKA-1, SKA-4, SKA-6 and SKA-17 for shorter plant height. Further, SKA-21 could be used for improving number of primary branches per plant, SKA-11 and SKA-17 for number of secondary branches per plant, SKA-19 for number of berries per plant, SKA-6, SKA-21, SKA-27 and AWS-1 for root branches and SKA-17 for root length as these genotypes were found to be most stable across the environments for mentioned traits. The result revealed that some reliable predictions about genotype x environment interaction and its unpredictable components were involved significantly in determining the stability of genotypes. Hence, the present investigation can be exploited for the identification of more productive genotypes in specific environments, leading to significant increase in root productivity of ashwagandha.</description><identifier>ISSN: 0022-1333</identifier><identifier>DOI: 10.1007/s12041-020-01207-9</identifier><language>eng</language><publisher>Springer</publisher><subject>Analysis ; Genetic research</subject><ispartof>Journal of genetics, 2020-12, Vol.99 (1)</ispartof><rights>COPYRIGHT 2020 Springer</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>KUMAR, MITHLESH</creatorcontrib><creatorcontrib>PATEL, MANUBHAI</creatorcontrib><creatorcontrib>CHAUHAN, RAVINDRASINGH</creatorcontrib><creatorcontrib>TANK, CHANDRESH</creatorcontrib><creatorcontrib>SOLANKI, SATYANARAYAN</creatorcontrib><creatorcontrib>PATEL, PRAVINBHAI</creatorcontrib><creatorcontrib>BHADAURIA, HITENDRA</creatorcontrib><title>Elucidation of genotype-environment interactions and genetic stability parameters for yield, quality and agromorphological traits in ashwagandha</title><title>Journal of genetics</title><description>The present study was undertaken to delineate genotype-environment interactions and stability status of 16 genotypes of ashwagandha (Withania somnifera (L.) Dunal) in context to the 12 characters, namely plant height, number of primary branches, number of secondary branches, days to flowering, days to maturity, number of berries, number of seeds/berry, root length, root diameter, root branches, dry root yield and total alkaloid content (%). Experiment was carried out in a randomized complete block design with three replications over three different locations (S. K. Nagar, Jagudan and Bhiloda) in north Gujarat for three years (2016-17, 2017-18 and 2018-19). Pooled analysis of variance revealed that the mean squares due to genotypes and genotype x environment interaction along with linear and nonlinear components were highly significant (P<0.01) for most of the traits under study. Stability parameters for component traits through Eberhart and Russell model showed that genotypes that can be used directly in breeding programme are SKA-4 for early flowering, SKA-21 for early maturity and SKA-1, SKA-4, SKA-6 and SKA-17 for shorter plant height. Further, SKA-21 could be used for improving number of primary branches per plant, SKA-11 and SKA-17 for number of secondary branches per plant, SKA-19 for number of berries per plant, SKA-6, SKA-21, SKA-27 and AWS-1 for root branches and SKA-17 for root length as these genotypes were found to be most stable across the environments for mentioned traits. The result revealed that some reliable predictions about genotype x environment interaction and its unpredictable components were involved significantly in determining the stability of genotypes. Hence, the present investigation can be exploited for the identification of more productive genotypes in specific environments, leading to significant increase in root productivity of ashwagandha.</description><subject>Analysis</subject><subject>Genetic research</subject><issn>0022-1333</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid/><recordid>eNptjrtOAzEQRV2ARAj8AJUlWhz8ynq3jKLwkCJRQB_N-rEx2rXD2gHlL_hkHKCgQFPM3JlzrwahK0ZnjFJ1mxinkhHKKaFlVKQ5QRNKOSdMCHGGzlN6PUpF-QR9rvq99gayjwFHhzsbYj7sLLHh3Y8xDDZk7EO2I-gjkzAEc6Rs9hqnDK3vfT7gHYww2IIl7OKID9725ga_7eH7evRAN8Yhjrtt7GPnNfQ4j-BzKukY0vYDukJt4QKdOuiTvfztU_R8t3pZPpD10_3jcrEmXaVqoqjkWtXcSW2N5E430Lam4g2rW1vJqmmconMpDDcSmJZWcD53ghnrpBCVmKLrn9QOervxwcXyjB580puFYqpmSrK6ULN_qFLGDl7HYJ0v-z-GL3z3eAg</recordid><startdate>20201201</startdate><enddate>20201201</enddate><creator>KUMAR, MITHLESH</creator><creator>PATEL, MANUBHAI</creator><creator>CHAUHAN, RAVINDRASINGH</creator><creator>TANK, CHANDRESH</creator><creator>SOLANKI, SATYANARAYAN</creator><creator>PATEL, PRAVINBHAI</creator><creator>BHADAURIA, HITENDRA</creator><general>Springer</general><scope/></search><sort><creationdate>20201201</creationdate><title>Elucidation of genotype-environment interactions and genetic stability parameters for yield, quality and agromorphological traits in ashwagandha</title><author>KUMAR, MITHLESH ; PATEL, MANUBHAI ; CHAUHAN, RAVINDRASINGH ; TANK, CHANDRESH ; SOLANKI, SATYANARAYAN ; PATEL, PRAVINBHAI ; BHADAURIA, HITENDRA</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-g678-7042c782f4ced42fc9abbd62918be64699f70543d2d4a1c4e3225f31def43363</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Analysis</topic><topic>Genetic research</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>KUMAR, MITHLESH</creatorcontrib><creatorcontrib>PATEL, MANUBHAI</creatorcontrib><creatorcontrib>CHAUHAN, RAVINDRASINGH</creatorcontrib><creatorcontrib>TANK, CHANDRESH</creatorcontrib><creatorcontrib>SOLANKI, SATYANARAYAN</creatorcontrib><creatorcontrib>PATEL, PRAVINBHAI</creatorcontrib><creatorcontrib>BHADAURIA, HITENDRA</creatorcontrib><jtitle>Journal of genetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>KUMAR, MITHLESH</au><au>PATEL, MANUBHAI</au><au>CHAUHAN, RAVINDRASINGH</au><au>TANK, CHANDRESH</au><au>SOLANKI, SATYANARAYAN</au><au>PATEL, PRAVINBHAI</au><au>BHADAURIA, HITENDRA</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Elucidation of genotype-environment interactions and genetic stability parameters for yield, quality and agromorphological traits in ashwagandha</atitle><jtitle>Journal of genetics</jtitle><date>2020-12-01</date><risdate>2020</risdate><volume>99</volume><issue>1</issue><issn>0022-1333</issn><abstract>The present study was undertaken to delineate genotype-environment interactions and stability status of 16 genotypes of ashwagandha (Withania somnifera (L.) Dunal) in context to the 12 characters, namely plant height, number of primary branches, number of secondary branches, days to flowering, days to maturity, number of berries, number of seeds/berry, root length, root diameter, root branches, dry root yield and total alkaloid content (%). Experiment was carried out in a randomized complete block design with three replications over three different locations (S. K. Nagar, Jagudan and Bhiloda) in north Gujarat for three years (2016-17, 2017-18 and 2018-19). Pooled analysis of variance revealed that the mean squares due to genotypes and genotype x environment interaction along with linear and nonlinear components were highly significant (P<0.01) for most of the traits under study. Stability parameters for component traits through Eberhart and Russell model showed that genotypes that can be used directly in breeding programme are SKA-4 for early flowering, SKA-21 for early maturity and SKA-1, SKA-4, SKA-6 and SKA-17 for shorter plant height. Further, SKA-21 could be used for improving number of primary branches per plant, SKA-11 and SKA-17 for number of secondary branches per plant, SKA-19 for number of berries per plant, SKA-6, SKA-21, SKA-27 and AWS-1 for root branches and SKA-17 for root length as these genotypes were found to be most stable across the environments for mentioned traits. The result revealed that some reliable predictions about genotype x environment interaction and its unpredictable components were involved significantly in determining the stability of genotypes. Hence, the present investigation can be exploited for the identification of more productive genotypes in specific environments, leading to significant increase in root productivity of ashwagandha.</abstract><pub>Springer</pub><doi>10.1007/s12041-020-01207-9</doi></addata></record> |
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| source | SpringerNature Journals; Indian Academy of Sciences; EZB-FREE-00999 freely available EZB journals |
| subjects | Analysis Genetic research |
| title | Elucidation of genotype-environment interactions and genetic stability parameters for yield, quality and agromorphological traits in ashwagandha |
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