Estimation of Genetic Divergence in 40 Elite Cotton Germplasm

Nadia Jabbar, Raheela Waheed, Iqra Arooj, Sara Janiad, Humaira Yasmeen, Uzma Irfan, Naima Zaheer, Ambreen Ahmed, Atia Iqbal


Background: Identification and development of superior cotton genotypes and their further improvement has been one of the primitive aims of plant breeding programmers. Therefore, necessity of analyzing the agro-morphological and yield attributes of advanced lines of cotton is doubtless.

Methods: Mean performance and correlation between ten different morphological, yield and fiber related attributes of forty cotton genotypes from all over the Pakistan under National Coordinated Varietal Trial were studied at Central Cotton Research Institute of Multan. Selected traits included several sympodial and monopodial branches, plant height, number of bolls per plant, staple length, seed cotton yield, boll weight, fiber strength, percentage ginning out turn and micronaire value.

Results: Statistical analysis of variance disclosed highly significant (p<0.01) differences among all cotton genotypes for majority of the characteristics. Basic descriptive statistical analysis of selected agronomic traits revealed the presence of substantial genetic variation among 40 genotypes of cotton for 10 selected traits. The correlation coefficient was determined both at p<0.05 and p<0.01 levels and the observations demonstrated that some of the characteristics exhibited positive correlation, while others displayed negative correlation with each other. Micronaire showed highly significant positive association with percentage ginning out turn (0.3412) and boll weight (0.2421 g) as well as highly significant negative association with fiber strength (-0.5973).

Conclusion: Convincingly, mean performances and correlation of different traits with one another can be utilized in cotton breeding programs in future to improve the yield of cotton seed and to select fiber related attributes with desired characteristics.

Keywords: Gossypium hirsutum; Morphological agronomic traits; Statistical analysis

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