Cargando…

Identification of drought tolerant Chickpea genotypes through multi trait stability index

Drought is a major and constantly increasing abiotic stress factor, thus limiting chickpea production. Like other crops, Kabuli Chickpea genotypes are screened for drought stress through Multi-environment trials (METs). Although, METs analysis is generally executed taking into account only one trait...

Descripción completa

Detalles Bibliográficos
Autores principales: Hussain, Tamoor, Akram, Zahid, Shabbir, Ghulam, Manaf, Abdul, Ahmed, Mukhtar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8626221/
https://www.ncbi.nlm.nih.gov/pubmed/34866982
http://dx.doi.org/10.1016/j.sjbs.2021.07.056
_version_ 1784606608025714688
author Hussain, Tamoor
Akram, Zahid
Shabbir, Ghulam
Manaf, Abdul
Ahmed, Mukhtar
author_facet Hussain, Tamoor
Akram, Zahid
Shabbir, Ghulam
Manaf, Abdul
Ahmed, Mukhtar
author_sort Hussain, Tamoor
collection PubMed
description Drought is a major and constantly increasing abiotic stress factor, thus limiting chickpea production. Like other crops, Kabuli Chickpea genotypes are screened for drought stress through Multi-environment trials (METs). Although, METs analysis is generally executed taking into account only one trait, which provides less significant reliability for the recommendation of genotypes as compared to multi trait-based analysis. Multi trait-based analysis could be used to recommend genotypes across diverse environments. Hence, current research was conducted for selection of superior genotypes through multi-trait stability index (MTSI) by using mixed and fixed effect models under six diverse environments. The genotypic stability was computed for all traits individually using the weighted average of absolute scores from the singular value decomposition of the matrix of best linear unbiased predictions for the genotype vs environment interaction (GEI) effects produced by a linear mixed-effect model index. A superiority index, WAASBY was measured to reflect the MPS (Mean performance and stability). The selection differential for the WAASBY index was 11.2%, 18.49% and 23.30% for grain yield (GY), primary branches per plant (PBP) and Stomatal Conductance (STOMA) respectively. Positive selection differential (0.80% ≤ selection differential ≤ 13.00%) were examined for traits averaged desired to be increased and negative (-0.57% ≤ selection differential ≤ -0.23%) for those traits desired to be reduced. The MTSI may be valuable to the plant breeders for the selection of genotypes based on many characters as being strong and simple selection process. Analysis of MTSI for multiple environments revealed that, the genotypes G20, G86, G31, G28, G116, G12, G105, G45, G50, G10, G30, G117, G81, G48, G85, G17, G32, G4, and G37 were the most stable and high yielding out of 120 chickpea genotypes, probably due to high MPS of selected traits under various environments. It is concluded that identified traits can be utilized as genitors in hybridization programs for the development of drought tolerant Kabuli Chickpea breeding material.
format Online
Article
Text
id pubmed-8626221
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-86262212021-12-02 Identification of drought tolerant Chickpea genotypes through multi trait stability index Hussain, Tamoor Akram, Zahid Shabbir, Ghulam Manaf, Abdul Ahmed, Mukhtar Saudi J Biol Sci Original Article Drought is a major and constantly increasing abiotic stress factor, thus limiting chickpea production. Like other crops, Kabuli Chickpea genotypes are screened for drought stress through Multi-environment trials (METs). Although, METs analysis is generally executed taking into account only one trait, which provides less significant reliability for the recommendation of genotypes as compared to multi trait-based analysis. Multi trait-based analysis could be used to recommend genotypes across diverse environments. Hence, current research was conducted for selection of superior genotypes through multi-trait stability index (MTSI) by using mixed and fixed effect models under six diverse environments. The genotypic stability was computed for all traits individually using the weighted average of absolute scores from the singular value decomposition of the matrix of best linear unbiased predictions for the genotype vs environment interaction (GEI) effects produced by a linear mixed-effect model index. A superiority index, WAASBY was measured to reflect the MPS (Mean performance and stability). The selection differential for the WAASBY index was 11.2%, 18.49% and 23.30% for grain yield (GY), primary branches per plant (PBP) and Stomatal Conductance (STOMA) respectively. Positive selection differential (0.80% ≤ selection differential ≤ 13.00%) were examined for traits averaged desired to be increased and negative (-0.57% ≤ selection differential ≤ -0.23%) for those traits desired to be reduced. The MTSI may be valuable to the plant breeders for the selection of genotypes based on many characters as being strong and simple selection process. Analysis of MTSI for multiple environments revealed that, the genotypes G20, G86, G31, G28, G116, G12, G105, G45, G50, G10, G30, G117, G81, G48, G85, G17, G32, G4, and G37 were the most stable and high yielding out of 120 chickpea genotypes, probably due to high MPS of selected traits under various environments. It is concluded that identified traits can be utilized as genitors in hybridization programs for the development of drought tolerant Kabuli Chickpea breeding material. Elsevier 2021-12 2021-07-24 /pmc/articles/PMC8626221/ /pubmed/34866982 http://dx.doi.org/10.1016/j.sjbs.2021.07.056 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Original Article
Hussain, Tamoor
Akram, Zahid
Shabbir, Ghulam
Manaf, Abdul
Ahmed, Mukhtar
Identification of drought tolerant Chickpea genotypes through multi trait stability index
title Identification of drought tolerant Chickpea genotypes through multi trait stability index
title_full Identification of drought tolerant Chickpea genotypes through multi trait stability index
title_fullStr Identification of drought tolerant Chickpea genotypes through multi trait stability index
title_full_unstemmed Identification of drought tolerant Chickpea genotypes through multi trait stability index
title_short Identification of drought tolerant Chickpea genotypes through multi trait stability index
title_sort identification of drought tolerant chickpea genotypes through multi trait stability index
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8626221/
https://www.ncbi.nlm.nih.gov/pubmed/34866982
http://dx.doi.org/10.1016/j.sjbs.2021.07.056
work_keys_str_mv AT hussaintamoor identificationofdroughttolerantchickpeagenotypesthroughmultitraitstabilityindex
AT akramzahid identificationofdroughttolerantchickpeagenotypesthroughmultitraitstabilityindex
AT shabbirghulam identificationofdroughttolerantchickpeagenotypesthroughmultitraitstabilityindex
AT manafabdul identificationofdroughttolerantchickpeagenotypesthroughmultitraitstabilityindex
AT ahmedmukhtar identificationofdroughttolerantchickpeagenotypesthroughmultitraitstabilityindex