Genetic Assessment of Oil Contributing Traits in Upland Cotton
By: Abdul Rehman, Anam Bashir, Ghulam Sarwar, Jia Yinhua, Xiongming Du, Muhammad Tehseen Azhar
Key Words: Correlation, Cotton, Environmental variance, Genetic variance, Heritability, Phenotypic variance.
Int. J. Biosci. 17(4), 32-45, October 2020.
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Cotton is the most important fiber as well as oil crop around the globe and plays a vital role in the economy of Pakistan. Present research work was planned to evaluate 5 parents along with their 20 hybrids of upland cotton for oil content and oil contributing traits in a complete diallel fashion in randomized complete block design with three replications. Genetic variance, phenotypic variance, environmental variance, heritability and correlation was estimated for various morphological traits. Results revealed that parent AA-802 and exhibited good performance for sympodial branches per plant, number of bolls per plant, boll weight, ginning outturn (GOT) seed index, lint index and seed cotton yield. Whereas, C-26 identified as better performer exclusively for plant height, sympodial branches per plant, seed index and oil contents. Cross SB-149 × C-26 showed significant response for seed cotton yield, sympodial branches per plant, boll weight, number of bolls per plant, plant height, seed index, lint index, seed cotton yield and oil contents. SB-149 × AA-802 presented better results for the traits namely, sympodial branches per plant, boll weight, GOT, seed index and seed cotton yield. High heritability estimate was recorded in boll weight, number of bolls per plant, GOT, oil contents while moderate heritability was estimated in seed cotton yield, lint index and seed index. Low heritability was estimated in plant height and sympodial branches. These identified parents and hybrids could be used in future breeding programs to overcome the oil-related problems in upland cotton.
Genetic Assessment of Oil Contributing Traits in Upland Cotton
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Genetic Assessment of Oil Contributing Traits in Upland Cotton.
Int. J. Biosci. 17(4), 32-45, October 2020.
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Natural Sciences (INNSPUB)