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...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2016-01-01
|
| Series: | Scientifica |
| Online Access: | http://dx.doi.org/10.1155/2016/3075023 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849685064665792512 |
|---|---|
| author | Sweta Sinha N. Kumaravadivel |
| author_facet | Sweta Sinha N. Kumaravadivel |
| author_sort | Sweta Sinha |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-c292dd00a54c4c9b970538746178a879 |
| institution | DOAJ |
| issn | 2090-908X |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Scientifica |
| spelling | doaj-art-c292dd00a54c4c9b970538746178a8792025-08-20T03:23:16ZengWileyScientifica2090-908X2016-01-01201610.1155/2016/30750233075023Understanding Genetic Diversity of Sorghum Using Quantitative TraitsSweta Sinha0N. Kumaravadivel1Department of Plant Molecular Biology and Biotechnology, Centre for Plant Molecular Biology, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu 641003, IndiaDepartment of Plant Molecular Biology and Biotechnology, Centre for Plant Molecular Biology, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu 641003, IndiaSorghum 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.http://dx.doi.org/10.1155/2016/3075023 |
| spellingShingle | Sweta Sinha N. Kumaravadivel Understanding Genetic Diversity of Sorghum Using Quantitative Traits Scientifica |
| 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 |
| url | http://dx.doi.org/10.1155/2016/3075023 |
| work_keys_str_mv | AT swetasinha understandinggeneticdiversityofsorghumusingquantitativetraits AT nkumaravadivel understandinggeneticdiversityofsorghumusingquantitativetraits |