Author
Listed:
- Revanasiddayya
- Jayaprakash Mohan Nidagundi
(Department of Genetics and Plant breeding, University of Agricultural Sciences, Raichur, Karnataka, India)
- Bashasab Fakrudin
(Department of Biotechnology and Crop Improvement, University of Horticultural Sciences, Bagalkot, Karnataka, India)
- Prakash Kuchanur
(Department of Genetics and Plant breeding, University of Agricultural Sciences, Raichur, Karnataka, India)
- Lingappa Neelagiri Yogeesh
(Department of Genetics and Plant breeding, University of Agricultural Sciences, Raichur, Karnataka, India)
- Shivanand Hanchinal
(Department of Agricultural Entomology, University of Agricultural Sciences, Raichur, Karnataka, India)
- Talagunda Chandrashekar Suma
(Department of Crop Physiology, University of Agricultural Sciences, Raichur, Karnataka, India)
- Gururaj Sunkad
(Dean (Post Graduate Studies), University of Agricultural Sciences, Raichur, Karnataka, India)
- Bharamappanavara Muralidhara
(Department of Genetics and Plant breeding, University of Agricultural Sciences, Raichur, Karnataka, India)
- Doddamani Maheshkumar
(Department of Biotechnology and Crop Improvement, University of Horticultural Sciences, Bagalkot, Karnataka, India)
- Channabasava
(Department of Genetics and Plant breeding, University of Agricultural Sciences, Raichur, Karnataka, India)
- Patil Sudha
(AICRP on Cotton, MARS, University of Agricultural Sciences, Raichur, Karnataka, India)
- Shivamurthy Rashmi
(AICRP on Cotton, MARS, University of Agricultural Sciences, Raichur, Karnataka, India)
- Virupapura Cholaraya Raghavendra
(Department of Genetics and Plant breeding, University of Agricultural Sciences, Raichur, Karnataka, India)
Abstract
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.
Suggested Citation
Revanasiddayya & Jayaprakash Mohan Nidagundi & Bashasab Fakrudin & Prakash Kuchanur & Lingappa Neelagiri Yogeesh & Shivanand Hanchinal & Talagunda Chandrashekar Suma & Gururaj Sunkad & Bharamappanavar, 2024.
"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, Czech Academy of Agricultural Sciences, vol. 60(1), pages 12-24.
Handle:
RePEc:caa:jnlcjg:v:60:y:2024:i:1:id:12-2023-cjgpb
DOI: 10.17221/12/2023-CJGPB
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