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Divergence in Single Kernel Characteristics and Grain Nutritional Profiles of Wheat Genetic Resource and Association Among Traits

Triticum aestivum is among the few species of crops which has been widely grown as a source of food. For seed quality trait analysis, wheat germplasm (77 genotypes) was collected from Pakistan's diverse agro-climatic regions. Significant variation (p < 0.05) was observed for tested parameter...

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Autores principales: Khalid, Anam, Hameed, Amjad, Shamim, Sadaf, Ahmad, Javed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8864306/
https://www.ncbi.nlm.nih.gov/pubmed/35223936
http://dx.doi.org/10.3389/fnut.2021.805446
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author Khalid, Anam
Hameed, Amjad
Shamim, Sadaf
Ahmad, Javed
author_facet Khalid, Anam
Hameed, Amjad
Shamim, Sadaf
Ahmad, Javed
author_sort Khalid, Anam
collection PubMed
description Triticum aestivum is among the few species of crops which has been widely grown as a source of food. For seed quality trait analysis, wheat germplasm (77 genotypes) was collected from Pakistan's diverse agro-climatic regions. Significant variation (p < 0.05) was observed for tested parameters among tested genotypes. Genotypes with maximum protein content, i.e., GA2002 (16.5%) and Marvi (16.5%), moisture content, i.e., advance line 9,244 (11%), starch content, i.e., AARI 2011 (54.1%), zeleny sedimentation rate, i.e., advance line 2006 (44ml), wet gluten content, i.e., advance line 2006 (44%), kernel weight, i.e., advance line TC-4928 (41.6 ± 9.5 mg), kernel diameter, i.e., sassui (2.91 ± 0.32 mm), kernel moisture, i.e., AUQAB 2000 (11.7 ± 0.4%), Mairaj 2000 (11.7 ± 0.4%), and Barani-83 (11.7 ± 0.3%), and hardness index, i.e., Punjab 2011 (91 ± 39) are concluded as potential candidates to be explored for bakery products and the breeding program to improve quality attributes of wheat. Data were also analyzed for correlation, agglomerative hierarchical clustering, and principal component analysis (PCA). Cluster analysis clustered all genotypes into five different groups. The D(2) statistics confirmed maximum diversity of cluster-V genotypes against genotypes of cluster-IV regarding single kernel characteristics, whereas cluster-II genotypes revealed maximum diversity against cluster-III genotypes relating to grain nutritional profile. The contribution of PC-I regarding single kernel characteristics toward variability was highest (48.58%) and revealed positive factor loadings for kernel weight, kernel diameter, and kernel moisture, while the contribution of PC-I with respect to grain nutritional profile toward variability was highest (59.76%) and showed positive factor loadings for moisture and starch content. Varieties having good quality attributes can be combined by breeders via various breeding methods with the aim of developing high quality wheat in the future.
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spelling pubmed-88643062022-02-24 Divergence in Single Kernel Characteristics and Grain Nutritional Profiles of Wheat Genetic Resource and Association Among Traits Khalid, Anam Hameed, Amjad Shamim, Sadaf Ahmad, Javed Front Nutr Nutrition Triticum aestivum is among the few species of crops which has been widely grown as a source of food. For seed quality trait analysis, wheat germplasm (77 genotypes) was collected from Pakistan's diverse agro-climatic regions. Significant variation (p < 0.05) was observed for tested parameters among tested genotypes. Genotypes with maximum protein content, i.e., GA2002 (16.5%) and Marvi (16.5%), moisture content, i.e., advance line 9,244 (11%), starch content, i.e., AARI 2011 (54.1%), zeleny sedimentation rate, i.e., advance line 2006 (44ml), wet gluten content, i.e., advance line 2006 (44%), kernel weight, i.e., advance line TC-4928 (41.6 ± 9.5 mg), kernel diameter, i.e., sassui (2.91 ± 0.32 mm), kernel moisture, i.e., AUQAB 2000 (11.7 ± 0.4%), Mairaj 2000 (11.7 ± 0.4%), and Barani-83 (11.7 ± 0.3%), and hardness index, i.e., Punjab 2011 (91 ± 39) are concluded as potential candidates to be explored for bakery products and the breeding program to improve quality attributes of wheat. Data were also analyzed for correlation, agglomerative hierarchical clustering, and principal component analysis (PCA). Cluster analysis clustered all genotypes into five different groups. The D(2) statistics confirmed maximum diversity of cluster-V genotypes against genotypes of cluster-IV regarding single kernel characteristics, whereas cluster-II genotypes revealed maximum diversity against cluster-III genotypes relating to grain nutritional profile. The contribution of PC-I regarding single kernel characteristics toward variability was highest (48.58%) and revealed positive factor loadings for kernel weight, kernel diameter, and kernel moisture, while the contribution of PC-I with respect to grain nutritional profile toward variability was highest (59.76%) and showed positive factor loadings for moisture and starch content. Varieties having good quality attributes can be combined by breeders via various breeding methods with the aim of developing high quality wheat in the future. Frontiers Media S.A. 2022-02-09 /pmc/articles/PMC8864306/ /pubmed/35223936 http://dx.doi.org/10.3389/fnut.2021.805446 Text en Copyright © 2022 Khalid, Hameed, Shamim and Ahmad. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Nutrition
Khalid, Anam
Hameed, Amjad
Shamim, Sadaf
Ahmad, Javed
Divergence in Single Kernel Characteristics and Grain Nutritional Profiles of Wheat Genetic Resource and Association Among Traits
title Divergence in Single Kernel Characteristics and Grain Nutritional Profiles of Wheat Genetic Resource and Association Among Traits
title_full Divergence in Single Kernel Characteristics and Grain Nutritional Profiles of Wheat Genetic Resource and Association Among Traits
title_fullStr Divergence in Single Kernel Characteristics and Grain Nutritional Profiles of Wheat Genetic Resource and Association Among Traits
title_full_unstemmed Divergence in Single Kernel Characteristics and Grain Nutritional Profiles of Wheat Genetic Resource and Association Among Traits
title_short Divergence in Single Kernel Characteristics and Grain Nutritional Profiles of Wheat Genetic Resource and Association Among Traits
title_sort divergence in single kernel characteristics and grain nutritional profiles of wheat genetic resource and association among traits
topic Nutrition
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8864306/
https://www.ncbi.nlm.nih.gov/pubmed/35223936
http://dx.doi.org/10.3389/fnut.2021.805446
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