Hereditary analysis and genotype × environment interaction effects on growth and yield components of Bambara groundnut (Vigna subterranea (L.) Verdc.) over multi-environments
Abstract This investigation was carried out to explore G × E interaction for yield and its associated attributes in 30 Bambara groundnut genotypes across four environments in tropical Malaysia. Such evaluations are essential when the breeding program's objective is to choose genotypes with broa...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-09-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-022-19003-z |
_version_ | 1828111477053063168 |
---|---|
author | Md Mahmudul Hasan Khan Mohd Y. Rafii Shairul Izan Ramlee Mashitah Jusoh Md Al Mamun |
author_facet | Md Mahmudul Hasan Khan Mohd Y. Rafii Shairul Izan Ramlee Mashitah Jusoh Md Al Mamun |
author_sort | Md Mahmudul Hasan Khan |
collection | DOAJ |
description | Abstract This investigation was carried out to explore G × E interaction for yield and its associated attributes in 30 Bambara groundnut genotypes across four environments in tropical Malaysia. Such evaluations are essential when the breeding program's objective is to choose genotypes with broad adaption and yield potential. Studies of trait relationships, variance components, mean performance, and genetic linkage are needed by breeders when designing, evaluating, and developing selection criteria for improving desired characteristics in breeding programs. The evaluation of breeding lines of Bambara groundnut for high yield across a wide range of environments is important for long-term production and food security. Each site's experiment employed a randomized complete block design with three replicates. Data on vegetative and yield component attributes were recorded. The analysis of variance revealed that there were highly significant (p ≤ 0.01) differences among the 30 genotypes for all variables evaluated. A highly significant and positive correlation was identified between yield per hectare and dry seed weight (0.940), hundred seed weight (0.844), fresh pod weight (0.832), and total pod weight (0.750); the estimated correlation between dry weight of pods and seed yield was 1.0. The environment was more important than genotype and G × E in determining yield and yield components.A total of 49% variation is covered by PC1 (33.9%) and PC2 (15.1%) and the genotypes formed five distinct clusters based on Ward hierarchical clustering (WHC) method. The genotypes S5G1, S5G3, S5G5, S5G6, S5G8, S5G7, S5G2, S5G4, S5G10, S5G13, S5G11, and S5G14 of clusters I, II, and III were closest to the ideal genotype with superior yield across the environments. The PCA variable loadings revealed that an index based on dry pod weight, hundred seed weight, number of total pods and fresh pod weight could be used as a selection criteria to improve seed yield of Bambara groundnut. |
first_indexed | 2024-04-11T11:35:21Z |
format | Article |
id | doaj.art-0c7ada6c791241c78e506b8b750b2d70 |
institution | Directory Open Access Journal |
issn | 2045-2322 |
language | English |
last_indexed | 2024-04-11T11:35:21Z |
publishDate | 2022-09-01 |
publisher | Nature Portfolio |
record_format | Article |
series | Scientific Reports |
spelling | doaj.art-0c7ada6c791241c78e506b8b750b2d702022-12-22T04:25:58ZengNature PortfolioScientific Reports2045-23222022-09-0112111910.1038/s41598-022-19003-zHereditary analysis and genotype × environment interaction effects on growth and yield components of Bambara groundnut (Vigna subterranea (L.) Verdc.) over multi-environmentsMd Mahmudul Hasan Khan0Mohd Y. Rafii1Shairul Izan Ramlee2Mashitah Jusoh3Md Al Mamun4Laboratory of Climate-Smart Food Crop Production, Institute of Tropical Agriculture and Food Security (ITAFoS), Universiti Putra Malaysia (UPM), UPM SerdangLaboratory of Climate-Smart Food Crop Production, Institute of Tropical Agriculture and Food Security (ITAFoS), Universiti Putra Malaysia (UPM), UPM SerdangDepartment of Crop Science, Faculty of Agriculture, Universiti Putra Malaysia (UPM)Department of Crop Science, Faculty of Agriculture, Universiti Putra Malaysia (UPM)Laboratory of Climate-Smart Food Crop Production, Institute of Tropical Agriculture and Food Security (ITAFoS), Universiti Putra Malaysia (UPM), UPM SerdangAbstract This investigation was carried out to explore G × E interaction for yield and its associated attributes in 30 Bambara groundnut genotypes across four environments in tropical Malaysia. Such evaluations are essential when the breeding program's objective is to choose genotypes with broad adaption and yield potential. Studies of trait relationships, variance components, mean performance, and genetic linkage are needed by breeders when designing, evaluating, and developing selection criteria for improving desired characteristics in breeding programs. The evaluation of breeding lines of Bambara groundnut for high yield across a wide range of environments is important for long-term production and food security. Each site's experiment employed a randomized complete block design with three replicates. Data on vegetative and yield component attributes were recorded. The analysis of variance revealed that there were highly significant (p ≤ 0.01) differences among the 30 genotypes for all variables evaluated. A highly significant and positive correlation was identified between yield per hectare and dry seed weight (0.940), hundred seed weight (0.844), fresh pod weight (0.832), and total pod weight (0.750); the estimated correlation between dry weight of pods and seed yield was 1.0. The environment was more important than genotype and G × E in determining yield and yield components.A total of 49% variation is covered by PC1 (33.9%) and PC2 (15.1%) and the genotypes formed five distinct clusters based on Ward hierarchical clustering (WHC) method. The genotypes S5G1, S5G3, S5G5, S5G6, S5G8, S5G7, S5G2, S5G4, S5G10, S5G13, S5G11, and S5G14 of clusters I, II, and III were closest to the ideal genotype with superior yield across the environments. The PCA variable loadings revealed that an index based on dry pod weight, hundred seed weight, number of total pods and fresh pod weight could be used as a selection criteria to improve seed yield of Bambara groundnut.https://doi.org/10.1038/s41598-022-19003-z |
spellingShingle | Md Mahmudul Hasan Khan Mohd Y. Rafii Shairul Izan Ramlee Mashitah Jusoh Md Al Mamun Hereditary analysis and genotype × environment interaction effects on growth and yield components of Bambara groundnut (Vigna subterranea (L.) Verdc.) over multi-environments Scientific Reports |
title | Hereditary analysis and genotype × environment interaction effects on growth and yield components of Bambara groundnut (Vigna subterranea (L.) Verdc.) over multi-environments |
title_full | Hereditary analysis and genotype × environment interaction effects on growth and yield components of Bambara groundnut (Vigna subterranea (L.) Verdc.) over multi-environments |
title_fullStr | Hereditary analysis and genotype × environment interaction effects on growth and yield components of Bambara groundnut (Vigna subterranea (L.) Verdc.) over multi-environments |
title_full_unstemmed | Hereditary analysis and genotype × environment interaction effects on growth and yield components of Bambara groundnut (Vigna subterranea (L.) Verdc.) over multi-environments |
title_short | Hereditary analysis and genotype × environment interaction effects on growth and yield components of Bambara groundnut (Vigna subterranea (L.) Verdc.) over multi-environments |
title_sort | hereditary analysis and genotype environment interaction effects on growth and yield components of bambara groundnut vigna subterranea l verdc over multi environments |
url | https://doi.org/10.1038/s41598-022-19003-z |
work_keys_str_mv | AT mdmahmudulhasankhan hereditaryanalysisandgenotypeenvironmentinteractioneffectsongrowthandyieldcomponentsofbambaragroundnutvignasubterranealverdcovermultienvironments AT mohdyrafii hereditaryanalysisandgenotypeenvironmentinteractioneffectsongrowthandyieldcomponentsofbambaragroundnutvignasubterranealverdcovermultienvironments AT shairulizanramlee hereditaryanalysisandgenotypeenvironmentinteractioneffectsongrowthandyieldcomponentsofbambaragroundnutvignasubterranealverdcovermultienvironments AT mashitahjusoh hereditaryanalysisandgenotypeenvironmentinteractioneffectsongrowthandyieldcomponentsofbambaragroundnutvignasubterranealverdcovermultienvironments AT mdalmamun hereditaryanalysisandgenotypeenvironmentinteractioneffectsongrowthandyieldcomponentsofbambaragroundnutvignasubterranealverdcovermultienvironments |