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Genetic variability and trait association in maize (Zea mays L.) varieties for growth and yield traits

The present study was carried out to study the variation, broad-sense heritability, genetic advance, correlation among traits for growth, yield, and its attributing traits in maize genotypes. Ten maize genotypes were evaluated in a randomized complete block design (RCBD) with three replications from...

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Autores principales: Magar, Bigul Thapa, Acharya, Subash, Gyawali, Bibek, Timilsena, Kiran, Upadhayaya, Jharana, Shrestha, Jiban
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8436073/
https://www.ncbi.nlm.nih.gov/pubmed/34541350
http://dx.doi.org/10.1016/j.heliyon.2021.e07939
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author Magar, Bigul Thapa
Acharya, Subash
Gyawali, Bibek
Timilsena, Kiran
Upadhayaya, Jharana
Shrestha, Jiban
author_facet Magar, Bigul Thapa
Acharya, Subash
Gyawali, Bibek
Timilsena, Kiran
Upadhayaya, Jharana
Shrestha, Jiban
author_sort Magar, Bigul Thapa
collection PubMed
description The present study was carried out to study the variation, broad-sense heritability, genetic advance, correlation among traits for growth, yield, and its attributing traits in maize genotypes. Ten maize genotypes were evaluated in a randomized complete block design (RCBD) with three replications from June 2019 to September 2019. The results indicated that the genotypes were significantly different for all traits. For all traits, the phenotypic coefficient of variation (PCV) was higher than the genotypic coefficient of variation (GCV). The grain yield showed the highest PCV (26.91%) and GCV (25.9%) whereas leaf width at maturity showed the lowest PCV (4.07%) and GCV (6.05%). Genetic Advance over Mean (GAM) for the traits ranged from the lowest value (0.1%) for days to 50% anthesis to the highest value (51.36%) for grain yield. Higher values of heritability and GAM % were obtained for grain yield (0.93, 51.36%) and 1000 grain weight (0.99, 36.95%) whereas the lowest values of heritability and GAM% were found for leaf length (0.5, 7.25%) and leaf width (0.39, 5.25%). Grain yield showed positive and significant phenotypic correlation with test weight (r = 0.706), cob length (r = 0.671), cob diameter (r = 0.573) and number of rows per cob (r = 0.539), respectively. Therefore, traits having high variation can be used as selection indices for indirect selection for the improvement of maize productivity.
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spelling pubmed-84360732021-09-17 Genetic variability and trait association in maize (Zea mays L.) varieties for growth and yield traits Magar, Bigul Thapa Acharya, Subash Gyawali, Bibek Timilsena, Kiran Upadhayaya, Jharana Shrestha, Jiban Heliyon Research Article The present study was carried out to study the variation, broad-sense heritability, genetic advance, correlation among traits for growth, yield, and its attributing traits in maize genotypes. Ten maize genotypes were evaluated in a randomized complete block design (RCBD) with three replications from June 2019 to September 2019. The results indicated that the genotypes were significantly different for all traits. For all traits, the phenotypic coefficient of variation (PCV) was higher than the genotypic coefficient of variation (GCV). The grain yield showed the highest PCV (26.91%) and GCV (25.9%) whereas leaf width at maturity showed the lowest PCV (4.07%) and GCV (6.05%). Genetic Advance over Mean (GAM) for the traits ranged from the lowest value (0.1%) for days to 50% anthesis to the highest value (51.36%) for grain yield. Higher values of heritability and GAM % were obtained for grain yield (0.93, 51.36%) and 1000 grain weight (0.99, 36.95%) whereas the lowest values of heritability and GAM% were found for leaf length (0.5, 7.25%) and leaf width (0.39, 5.25%). Grain yield showed positive and significant phenotypic correlation with test weight (r = 0.706), cob length (r = 0.671), cob diameter (r = 0.573) and number of rows per cob (r = 0.539), respectively. Therefore, traits having high variation can be used as selection indices for indirect selection for the improvement of maize productivity. Elsevier 2021-09-04 /pmc/articles/PMC8436073/ /pubmed/34541350 http://dx.doi.org/10.1016/j.heliyon.2021.e07939 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Magar, Bigul Thapa
Acharya, Subash
Gyawali, Bibek
Timilsena, Kiran
Upadhayaya, Jharana
Shrestha, Jiban
Genetic variability and trait association in maize (Zea mays L.) varieties for growth and yield traits
title Genetic variability and trait association in maize (Zea mays L.) varieties for growth and yield traits
title_full Genetic variability and trait association in maize (Zea mays L.) varieties for growth and yield traits
title_fullStr Genetic variability and trait association in maize (Zea mays L.) varieties for growth and yield traits
title_full_unstemmed Genetic variability and trait association in maize (Zea mays L.) varieties for growth and yield traits
title_short Genetic variability and trait association in maize (Zea mays L.) varieties for growth and yield traits
title_sort genetic variability and trait association in maize (zea mays l.) varieties for growth and yield traits
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8436073/
https://www.ncbi.nlm.nih.gov/pubmed/34541350
http://dx.doi.org/10.1016/j.heliyon.2021.e07939
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