Agro-morphological diversity in promising wheat genotypes grown under restricted irrigated condition

A set of 36 promising genotypes were evaluated for 33 agro-morphological traits. Sufficient genetic variability was found for almost all the characteristics of wheat. Genetic diversity among nineteen traits of wheat genotypes was estimated using Mahalanobis D2 analysis and principal component analy...

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Autor principal:	Tasphiya Elahi, Suneeta Pandey* and R.S. Shukla
Formato:	article
Lenguaje:	EN
Publicado:	Indian Society of Plant Breeders 2021
Materias:	principal component genetic divergence cluster analysis Plant culture SB1-1110
Acceso en línea:	https://doaj.org/article/ba07e916eb4b48919eaa0ae81ad4c8bb
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spelling	oai:doaj.org-article:ba07e916eb4b48919eaa0ae81ad4c8bb2021-11-15T06:08:49ZAgro-morphological diversity in promising wheat genotypes grown under restricted irrigated conditiondoi.org/10.37992/2021.1203.0900975-928Xhttps://doaj.org/article/ba07e916eb4b48919eaa0ae81ad4c8bb2021-09-01T00:00:00Zhttp://ejplantbreeding.org/index.php/EJPB/article/view/3502https://doaj.org/toc/0975-928XA set of 36 promising genotypes were evaluated for 33 agro-morphological traits. Sufficient genetic variability was found for almost all the characteristics of wheat. Genetic diversity among nineteen traits of wheat genotypes was estimated using Mahalanobis D2 analysis and principal component analysis (PCA). Sufficient genetic diversity was observed among the genotypes and grouped genotypes into five clusters by Tocher’s method. Cluster I contained the maximum numbers of genotypes (32) and the remaining clusters II, III, IV and V were mono-genotypic. The lowest inter cluster distance was noticed between clusters III and I (260.57) and maximum between Cluster IV and V (891.62). The larger inter-cluster distances between clusters were considered more diverged than those with small distances. The major contributing character towards genetic divergence was found to be grain yield per plant (25.24%), followed by wet gluten (21.59%), chlorophyll content (11.11%) and protein content (10.63%). Principal component (PC) analysis resulted in eight principal components (PCs) having Eigenvalue >1 which contributed 78.67 per cent of the total variability amongst the wheat genotypes assessed for various morpho-physiological traits. The traits with the highest weight in component first were the number of tillers per plant, the number of ear per plant, grain yield per plant and harvest index which explained 15.17 per cent of the total variation. Component 2 was associated with protein content and wet gluten content which account for 13.91 per cent variation. In component 3, traits with highest weight were days to heading, days to maturity, plant height, the number of spikelets per ear, ear length and relative water content which explained 13.41 per cent of the total variation. Similarly, the traits with the highest weight in component 4 were sedimentation value; biological yield per plant in component 5; ear weight and chlorophyll content in component 6; peduncle length, 1000-grain weight and canopy temperature in component 7 was the major contributing traits which account for 8.89, 7.78, 7.20 and 6.31 per cent variability, respectively for the above traits. The result of the present study could be exploited in the planning and execution of a future breeding programme in wheat. Tasphiya Elahi, Suneeta Pandey* and R.S. ShuklaIndian Society of Plant Breedersarticleprincipal componentgenetic divergencecluster analysisPlant cultureSB1-1110ENElectronic Journal of Plant Breeding, Vol 12, Iss 3, Pp 643-651 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	principal component genetic divergence cluster analysis Plant culture SB1-1110
spellingShingle	principal component genetic divergence cluster analysis Plant culture SB1-1110 Tasphiya Elahi, Suneeta Pandey* and R.S. Shukla Agro-morphological diversity in promising wheat genotypes grown under restricted irrigated condition
description	A set of 36 promising genotypes were evaluated for 33 agro-morphological traits. Sufficient genetic variability was found for almost all the characteristics of wheat. Genetic diversity among nineteen traits of wheat genotypes was estimated using Mahalanobis D2 analysis and principal component analysis (PCA). Sufficient genetic diversity was observed among the genotypes and grouped genotypes into five clusters by Tocher’s method. Cluster I contained the maximum numbers of genotypes (32) and the remaining clusters II, III, IV and V were mono-genotypic. The lowest inter cluster distance was noticed between clusters III and I (260.57) and maximum between Cluster IV and V (891.62). The larger inter-cluster distances between clusters were considered more diverged than those with small distances. The major contributing character towards genetic divergence was found to be grain yield per plant (25.24%), followed by wet gluten (21.59%), chlorophyll content (11.11%) and protein content (10.63%). Principal component (PC) analysis resulted in eight principal components (PCs) having Eigenvalue >1 which contributed 78.67 per cent of the total variability amongst the wheat genotypes assessed for various morpho-physiological traits. The traits with the highest weight in component first were the number of tillers per plant, the number of ear per plant, grain yield per plant and harvest index which explained 15.17 per cent of the total variation. Component 2 was associated with protein content and wet gluten content which account for 13.91 per cent variation. In component 3, traits with highest weight were days to heading, days to maturity, plant height, the number of spikelets per ear, ear length and relative water content which explained 13.41 per cent of the total variation. Similarly, the traits with the highest weight in component 4 were sedimentation value; biological yield per plant in component 5; ear weight and chlorophyll content in component 6; peduncle length, 1000-grain weight and canopy temperature in component 7 was the major contributing traits which account for 8.89, 7.78, 7.20 and 6.31 per cent variability, respectively for the above traits. The result of the present study could be exploited in the planning and execution of a future breeding programme in wheat.
format	article
author	Tasphiya Elahi, Suneeta Pandey* and R.S. Shukla
author_facet	Tasphiya Elahi, Suneeta Pandey* and R.S. Shukla
author_sort	Tasphiya Elahi, Suneeta Pandey* and R.S. Shukla
title	Agro-morphological diversity in promising wheat genotypes grown under restricted irrigated condition
title_short	Agro-morphological diversity in promising wheat genotypes grown under restricted irrigated condition
title_full	Agro-morphological diversity in promising wheat genotypes grown under restricted irrigated condition
title_fullStr	Agro-morphological diversity in promising wheat genotypes grown under restricted irrigated condition
title_full_unstemmed	Agro-morphological diversity in promising wheat genotypes grown under restricted irrigated condition
title_sort	agro-morphological diversity in promising wheat genotypes grown under restricted irrigated condition
publisher	Indian Society of Plant Breeders
publishDate	2021
url	https://doaj.org/article/ba07e916eb4b48919eaa0ae81ad4c8bb
work_keys_str_mv	AT tasphiyaelahisuneetapandeyandrsshukla agromorphologicaldiversityinpromisingwheatgenotypesgrownunderrestrictedirrigatedcondition
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Agro-morphological diversity in promising wheat genotypes grown under restricted irrigated condition

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