Genetic diversity among coloured cotton genotypes in relation to their fibre colour and ploidy level based on SSR markers
Genetic diversity is referred to as any variation at the phenotypic, DNA or genomic level of an individual, population or species. The appraisal of diversity is important to understand its pattern and evolutionary relationships between germplasms or genotypes, which will aid in sampling the genetic...
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Czech Academy of Agricultural Sciences
2023-11-01
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Series: | Czech Journal of Genetics and Plant Breeding |
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Online Access: | https://cjgpb.agriculturejournals.cz/artkey/cjg-202401-0002_genetic-diversity-among-coloured-cotton-genotypes-in-relation-to-their-fibre-colour-and-ploidy-level-based-on-s.php |
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author | Revanasiddayya Jayaprakash Mohan Nidagundi Bashasab Fakrudin Prakash Kuchanur Lingappa Neelagiri Yogeesh Shivanand Hanchinal Talagunda Chandrashekar Suma Gururaj Sunkad Bharamappanavara Muralidhara Dod |
author_facet | Revanasiddayya Jayaprakash Mohan Nidagundi Bashasab Fakrudin Prakash Kuchanur Lingappa Neelagiri Yogeesh Shivanand Hanchinal Talagunda Chandrashekar Suma Gururaj Sunkad Bharamappanavara Muralidhara Dod |
author_sort | Revanasiddayya |
collection | DOAJ |
description | Genetic diversity is referred to as any variation at the phenotypic, DNA or genomic level of an individual, population or species. The appraisal of diversity is important to understand its pattern and evolutionary relationships between germplasms or genotypes, which will aid in sampling the genetic resources in a more systematic manner for conservation and crop improvement. The present study employed 50 simple sequence repeat (SSR) markers linked to the yield and fibre quality/colour traits for estimating the genetic diversity in 33 cotton genotypes of diploid and tetraploid species differing in fibre colour. The diversity analysis was performed in GenAlEx (Ver. 6.41) and Powermarker (Ver. 3.25) while DARwin (Ver. 6.0.21) software was used to establish the phylogenetic relationships following neighbour-joining (NJ) and unweighted pair group method with arithmetic (UPGMA) mean method. Markers generated 186 polymorphic loci as genotypic data with an average of 3.72 alleles and an average polymorphic information content (PIC) value of 0.59 per SSR locus. The NJ and UPGMA grouped 33 genotypes into three major clusters I, II and III consisting of 21 tetraploid Gossypium hirsutum, 10 G. arboreum coloured and 2 white cotton genotypes, respectively. In the PCA, the first two components (PC1 and PC2) explained 74.69% of the variation and the biplot plotted the 33 genotypes in three groups. The study established the diverse nature of 33 cotton genotypes based on their fibre colour and ploidy level. With confirmation of the prevalent genetic diversity, we suggest that hybridisation can be planned among diverse genotypes to unleash greater variation in the fibre colour or to derive superior cross combinations. |
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issn | 1212-1975 1805-9325 |
language | English |
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publishDate | 2023-11-01 |
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series | Czech Journal of Genetics and Plant Breeding |
spelling | doaj.art-4cfaafdee319458e8a131b1fa455a7a92023-11-27T12:57:49ZengCzech Academy of Agricultural SciencesCzech Journal of Genetics and Plant Breeding1212-19751805-93252023-11-01601122410.17221/12/2023-CJGPBcjg-202401-0002Genetic diversity among coloured cotton genotypes in relation to their fibre colour and ploidy level based on SSR markersRevanasiddayya0Jayaprakash Mohan Nidagundi1Bashasab Fakrudin2Prakash Kuchanur3Lingappa Neelagiri Yogeesh4Shivanand Hanchinal5Talagunda Chandrashekar Suma6Gururaj Sunkad7Bharamappanavara Muralidhara8Dod9Department of Genetics and Plant breeding, University of Agricultural Sciences, Raichur, Karnataka, IndiaDepartment of Genetics and Plant breeding, University of Agricultural Sciences, Raichur, Karnataka, IndiaDepartment of Biotechnology and Crop Improvement, University of Horticultural Sciences, Bagalkot, Karnataka, IndiaDepartment of Genetics and Plant breeding, University of Agricultural Sciences, Raichur, Karnataka, IndiaDepartment of Genetics and Plant breeding, University of Agricultural Sciences, Raichur, Karnataka, IndiaDepartment of Agricultural Entomology, University of Agricultural Sciences, Raichur, Karnataka, IndiaDepartment of Crop Physiology, University of Agricultural Sciences, Raichur, Karnataka, IndiaDean (Post Graduate Studies), University of Agricultural Sciences, Raichur, Karnataka, IndiaDepartment of Genetics and Plant breeding, University of Agricultural Sciences, Raichur, Karnataka, IndiaDepartment of Genetics and Plant breeding, University of Agricultural Sciences, Raichur, Karnataka, IndiaGenetic diversity is referred to as any variation at the phenotypic, DNA or genomic level of an individual, population or species. The appraisal of diversity is important to understand its pattern and evolutionary relationships between germplasms or genotypes, which will aid in sampling the genetic resources in a more systematic manner for conservation and crop improvement. The present study employed 50 simple sequence repeat (SSR) markers linked to the yield and fibre quality/colour traits for estimating the genetic diversity in 33 cotton genotypes of diploid and tetraploid species differing in fibre colour. The diversity analysis was performed in GenAlEx (Ver. 6.41) and Powermarker (Ver. 3.25) while DARwin (Ver. 6.0.21) software was used to establish the phylogenetic relationships following neighbour-joining (NJ) and unweighted pair group method with arithmetic (UPGMA) mean method. Markers generated 186 polymorphic loci as genotypic data with an average of 3.72 alleles and an average polymorphic information content (PIC) value of 0.59 per SSR locus. The NJ and UPGMA grouped 33 genotypes into three major clusters I, II and III consisting of 21 tetraploid Gossypium hirsutum, 10 G. arboreum coloured and 2 white cotton genotypes, respectively. In the PCA, the first two components (PC1 and PC2) explained 74.69% of the variation and the biplot plotted the 33 genotypes in three groups. The study established the diverse nature of 33 cotton genotypes based on their fibre colour and ploidy level. With confirmation of the prevalent genetic diversity, we suggest that hybridisation can be planned among diverse genotypes to unleash greater variation in the fibre colour or to derive superior cross combinations.https://cjgpb.agriculturejournals.cz/artkey/cjg-202401-0002_genetic-diversity-among-coloured-cotton-genotypes-in-relation-to-their-fibre-colour-and-ploidy-level-based-on-s.phpgossypium hirsutumneighbour-joiningpcapolymorphism levelupgma |
spellingShingle | Revanasiddayya Jayaprakash Mohan Nidagundi Bashasab Fakrudin Prakash Kuchanur Lingappa Neelagiri Yogeesh Shivanand Hanchinal Talagunda Chandrashekar Suma Gururaj Sunkad Bharamappanavara Muralidhara Dod Genetic diversity among coloured cotton genotypes in relation to their fibre colour and ploidy level based on SSR markers Czech Journal of Genetics and Plant Breeding gossypium hirsutum neighbour-joining pca polymorphism level upgma |
title | Genetic diversity among coloured cotton genotypes in relation to their fibre colour and ploidy level based on SSR markers |
title_full | Genetic diversity among coloured cotton genotypes in relation to their fibre colour and ploidy level based on SSR markers |
title_fullStr | Genetic diversity among coloured cotton genotypes in relation to their fibre colour and ploidy level based on SSR markers |
title_full_unstemmed | Genetic diversity among coloured cotton genotypes in relation to their fibre colour and ploidy level based on SSR markers |
title_short | Genetic diversity among coloured cotton genotypes in relation to their fibre colour and ploidy level based on SSR markers |
title_sort | genetic diversity among coloured cotton genotypes in relation to their fibre colour and ploidy level based on ssr markers |
topic | gossypium hirsutum neighbour-joining pca polymorphism level upgma |
url | https://cjgpb.agriculturejournals.cz/artkey/cjg-202401-0002_genetic-diversity-among-coloured-cotton-genotypes-in-relation-to-their-fibre-colour-and-ploidy-level-based-on-s.php |
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