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Understanding Genetic Diversity of Sorghum Using Quantitative Traits

Sorghum is the important cereal crop around the world and hence understanding and utilizing the genetic variation in sorghum accessions are essential for improving the crop. A good understanding of genetic variability among the accessions will enable precision breeding. So profiling the genetic dive...

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Autores principales: Sinha, Sweta, Kumaravadivel, N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4921636/
https://www.ncbi.nlm.nih.gov/pubmed/27382499
http://dx.doi.org/10.1155/2016/3075023
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author Sinha, Sweta
Kumaravadivel, N.
author_facet Sinha, Sweta
Kumaravadivel, N.
author_sort Sinha, Sweta
collection PubMed
description Sorghum is the important cereal crop around the world and hence understanding and utilizing the genetic variation in sorghum accessions are essential for improving the crop. A good understanding of genetic variability among the accessions will enable precision breeding. So profiling the genetic diversity of sorghum is imminent. In the present investigation, forty sorghum accessions consisting of sweet sorghum, grain sorghum, forage sorghum, mutant lines, maintainer lines, and restorer lines were screened for genetic diversity using quantitative traits. Observations were recorded on 14 quantitative traits, out of which 9 diverse traits contributing to maximum variability were selected for genetic diversity analysis. The principle component analysis revealed that the panicle width, stem girth, and leaf breadth contributed maximum towards divergence. By using hierarchical cluster analysis, the 40 accessions were grouped under 6 clusters. Cluster I contained maximum number of accessions and cluster VI contained the minimum. The maximum intercluster distance was observed between cluster VI and cluster IV. Cluster III had the highest mean value for hundred-seed weight and yield. Hence the selection of parents must be based on the wider intercluster distance and superior mean performance for yield and yield components. Thus in the present investigation quantitative data were able to reveal the existence of a wide genetic diversity among the sorghum accessions used providing scope for further genetic improvement.
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spelling pubmed-49216362016-07-05 Understanding Genetic Diversity of Sorghum Using Quantitative Traits Sinha, Sweta Kumaravadivel, N. Scientifica (Cairo) Research Article Sorghum is the important cereal crop around the world and hence understanding and utilizing the genetic variation in sorghum accessions are essential for improving the crop. A good understanding of genetic variability among the accessions will enable precision breeding. So profiling the genetic diversity of sorghum is imminent. In the present investigation, forty sorghum accessions consisting of sweet sorghum, grain sorghum, forage sorghum, mutant lines, maintainer lines, and restorer lines were screened for genetic diversity using quantitative traits. Observations were recorded on 14 quantitative traits, out of which 9 diverse traits contributing to maximum variability were selected for genetic diversity analysis. The principle component analysis revealed that the panicle width, stem girth, and leaf breadth contributed maximum towards divergence. By using hierarchical cluster analysis, the 40 accessions were grouped under 6 clusters. Cluster I contained maximum number of accessions and cluster VI contained the minimum. The maximum intercluster distance was observed between cluster VI and cluster IV. Cluster III had the highest mean value for hundred-seed weight and yield. Hence the selection of parents must be based on the wider intercluster distance and superior mean performance for yield and yield components. Thus in the present investigation quantitative data were able to reveal the existence of a wide genetic diversity among the sorghum accessions used providing scope for further genetic improvement. Hindawi Publishing Corporation 2016 2016-06-13 /pmc/articles/PMC4921636/ /pubmed/27382499 http://dx.doi.org/10.1155/2016/3075023 Text en Copyright © 2016 S. Sinha and N. Kumaravadivel. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Sinha, Sweta
Kumaravadivel, N.
Understanding Genetic Diversity of Sorghum Using Quantitative Traits
title Understanding Genetic Diversity of Sorghum Using Quantitative Traits
title_full Understanding Genetic Diversity of Sorghum Using Quantitative Traits
title_fullStr Understanding Genetic Diversity of Sorghum Using Quantitative Traits
title_full_unstemmed Understanding Genetic Diversity of Sorghum Using Quantitative Traits
title_short Understanding Genetic Diversity of Sorghum Using Quantitative Traits
title_sort understanding genetic diversity of sorghum using quantitative traits
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4921636/
https://www.ncbi.nlm.nih.gov/pubmed/27382499
http://dx.doi.org/10.1155/2016/3075023
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