Genetic diversity studies for yield and physiological traits using principal component analysis in little millet

Principal Component Analysis (PCA) was conducted to assess the genetic variability among 50 little millet genotypes based on yield and physiological traits. Results revealed six principal components with an Eigen value more than one, which accounted for 74.25% of the total variability. PC 1 contribu...

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Main Author: T. Venkata Ratnam1 and L. Madhavi Latha2*
Format: Article
Language:English
Published: Indian Society of Plant Breeders 2024-12-01
Series:Electronic Journal of Plant Breeding
Subjects:
Online Access:https://ejplantbreeding.org/index.php/EJPB/article/view/5153
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author T. Venkata Ratnam1 and L. Madhavi Latha2*
author_facet T. Venkata Ratnam1 and L. Madhavi Latha2*
author_sort T. Venkata Ratnam1 and L. Madhavi Latha2*
collection DOAJ
description Principal Component Analysis (PCA) was conducted to assess the genetic variability among 50 little millet genotypes based on yield and physiological traits. Results revealed six principal components with an Eigen value more than one, which accounted for 74.25% of the total variability. PC 1 contributed the most towards the total variability at 27.98%, while PC 2, PC 3, PC 4, PC 5, and PC 6 contributed 12.90%, 11.19%, 8.93%, 7.08%, and 6.14% respectively. Days to 50 per cent flowering, grain yield plot-1, harvest index, leaf area index at both panicle and 15 days after panicle initiation, specific leaf weight at 15 days after panicle initiation, and main panicle weight were the foremost contributors to genetic diversity among the studied genotypes. The biplot diagram revealed that WV-167, BL-6, TNPsu-174 and GPUL-2 were the most diverse genotypes, with high yield potential compared to other entries. GPUL-1 and DLM-186 are likely to be drought resistance due to lower relative membrane injury (%). Hybridization among these genotypes could result in transgressive segregants with desirable traits for yield and physiological characteristics.
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spelling doaj-art-8f297e063a3f4a9bbe999f55b95dfdf62025-01-20T11:47:56ZengIndian Society of Plant BreedersElectronic Journal of Plant Breeding0975-928X2024-12-0115498699710.37992/2024.1504.100Genetic diversity studies for yield and physiological traits using principal component analysis in little millet T. Venkata Ratnam1 and L. Madhavi Latha2*01 Department of Genetics and Plant Breeding, Agricultural College, Bapatla, ANGRAU 2 Department of Genetics and Plant Breeding, ARS, Perumallapalle, ANGRAU. *E-Mail:lmlreddy36 @gmail.comPrincipal Component Analysis (PCA) was conducted to assess the genetic variability among 50 little millet genotypes based on yield and physiological traits. Results revealed six principal components with an Eigen value more than one, which accounted for 74.25% of the total variability. PC 1 contributed the most towards the total variability at 27.98%, while PC 2, PC 3, PC 4, PC 5, and PC 6 contributed 12.90%, 11.19%, 8.93%, 7.08%, and 6.14% respectively. Days to 50 per cent flowering, grain yield plot-1, harvest index, leaf area index at both panicle and 15 days after panicle initiation, specific leaf weight at 15 days after panicle initiation, and main panicle weight were the foremost contributors to genetic diversity among the studied genotypes. The biplot diagram revealed that WV-167, BL-6, TNPsu-174 and GPUL-2 were the most diverse genotypes, with high yield potential compared to other entries. GPUL-1 and DLM-186 are likely to be drought resistance due to lower relative membrane injury (%). Hybridization among these genotypes could result in transgressive segregants with desirable traits for yield and physiological characteristics. https://ejplantbreeding.org/index.php/EJPB/article/view/5153little milletprincipal component analysisphysiological traitsyield traits
spellingShingle T. Venkata Ratnam1 and L. Madhavi Latha2*
Genetic diversity studies for yield and physiological traits using principal component analysis in little millet
Electronic Journal of Plant Breeding
little millet
principal component analysis
physiological traits
yield traits
title Genetic diversity studies for yield and physiological traits using principal component analysis in little millet
title_full Genetic diversity studies for yield and physiological traits using principal component analysis in little millet
title_fullStr Genetic diversity studies for yield and physiological traits using principal component analysis in little millet
title_full_unstemmed Genetic diversity studies for yield and physiological traits using principal component analysis in little millet
title_short Genetic diversity studies for yield and physiological traits using principal component analysis in little millet
title_sort genetic diversity studies for yield and physiological traits using principal component analysis in little millet
topic little millet
principal component analysis
physiological traits
yield traits
url https://ejplantbreeding.org/index.php/EJPB/article/view/5153
work_keys_str_mv AT tvenkataratnam1andlmadhavilatha2 geneticdiversitystudiesforyieldandphysiologicaltraitsusingprincipalcomponentanalysisinlittlemillet