Genetic diversity among coloured cotton genotypes in relation to their fibre colour and ploidy level based on SSR markers

Revanasiddayya, Jayaprakash Mohan Nidagundi, Bashasab Fakrudin, Prakash Kuchanur, Lingappa Neelagiri Yogeesh, Shivanand Hanchinal, Talagunda Chandrashekar Suma, Gururaj Sunkad, Bharamappanavara Muralidhara, Doddamani Maheshkumar, Channabasava, Patil Sudha, Shivamurthy Rashmi and Virupapura Cholaraya Raghavendra
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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

Czech Journal of Genetics and Plant Breeding, 2024, vol. 60, issue 1, 12-24

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.

Keywords: Gossypium hirsutum; neighbour-joining; PCA; polymorphism level; UPGMA (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:caa:jnlcjg:v:60:y:2024:i:1:id:12-2023-cjgpb

DOI: 10.17221/12/2023-CJGPB

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