Evaluation of Cotton Advanced Lines/Varieties for Genetic Diversity and Correlation Studies of Cotton Leaf Curl Virus Disease with Yield Contributing Traits in Cotton
Year: 2024
Type: article
Abstract: Plant genetic diversity aids in the creation of new varieties that are more resistant to pests and unfavorable climatic conditions. In order to discover varied parents and assess their cross-performance, the current study was carried out. The findings showed a substantial positive connection (0.81) between green bolls, plant height (0.57), and open bolls, as well as a significant positive correlation (0.52) between open bolls. On the other hand, a highly significant negative connection was discovered between the number of open bolls (-0.59), number of green bolls (-0.72), plant height (-0.78), and major stem nodes (-0.70) for the cotton leaf curl viral disease. Principal component analysis (PCA) showed that PC-I and PC-II accounted for 66.6% of the total variance. Plant height and green bolls were found to be positively correlated by PCA biplot analysis, but main stem nodes and open bolls showed a negative link, particularly with cotton leaf curl virus diseases. Based on cluster analysis, genotypes were divided into four clusters. Of these, Cluster-IV stood out because to its strong resistance to the cotton leaf curl virus disease and high yield, making it a good candidate for further breeding efforts. Other clusters include Mac-07, MNH-875, CRP-257, Super Okra, MNH-Super Gold, and GT/Bt Okra. The research emphasizes how crucial it is to use a variety of statistical methods to evaluate genetic diversity and support improved breeding practices. The knowledge that is derived will be useful in creating hybrids for upcoming breeding programs.
Authors: Nouman Bilal, Wajid Nazeer, Abdul Latif Tipu, Shoaib Liaqat, Muhammad Sarwar, Ansar Ali, Khadim Hussain, Maria Basheer
Language: English
Subfield: Plant Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: diamond
OpenAlex ID: W7028386552
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