Selection of diverse parents based on genetic distances and cluster analysis in Gossypium hirsutum L.

Authors

  • Vaibhav V. Ujjainkar Department of Genetics and Plant Breeding (CAS), College of Agriculture Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola, India

DOI:

https://doi.org/10.31783/ELSR.2026.1211116

Keywords:

clustering, cotton, genetic diversity, seed cotton yield, selection of parents

Abstract

India holds the title of the largest cotton producer globally and is the sole nation that grows all four cultivated species of cotton. This study was conducted with objectives to estimate the magnitude of genetic diversity among a set of elite germplasm lines and to identify parents for a further cotton improvement program. In the present investigation, a set of thirty elite genotypes of Gossypium hirsutum L. were evaluated in a randomized block design with eleven morphological traits. Based on genetic diversity values, the thirty genotypes were categorized into ten diverse clusters despite their geographical origin or ancestry. The clusters I, II, and IX were comprised of the maximum genotypes, while four clusters, viz., cluster III, IV, VI, and VIII, were single genotype clusters. The highest magnitude of intra cluster distance was exhibited in cluster II (27.38), the cluster combination of cluster III and cluster VIII exhibited the highest inter cluster distance (36.11). Based on benchmark value of the average inter-cluster distance of 15.73, the seventy parental cross combinations along with their reciprocals were suggested as per the cluster combinations that were above the average genetic distance value. In the present investigation with respect to agro-ecological conditions of Akola, the four genotypes AKH 8828, NH-659, RAH 1066, and SCS 1207  emerged as the potent donors for important quantitative characters for the future cotton improvement program.

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Published

2026-03-12

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How to Cite

Selection of diverse parents based on genetic distances and cluster analysis in Gossypium hirsutum L . (2026). Emergent Life Sciences Research, 11-16. https://doi.org/10.31783/ELSR.2026.1211116