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Genotypic and Phenotypic Correlation Study and Cluster Analysis between different Physiological Attributes of Cotton (Gossypium hirsutum L.) under different Regimes of Irrigation

Author(s)
Muhammad Akbar Central Cotton Research Institute, Multan, Pakistan.
Khadim Hussain Central Cotton Research Institute, Multan, Pakistan.
Farzana Ashraf Central Cotton Research Institute, Multan, Pakistan.
Mubashir Islam Gill Central Cotton Research Institute, Multan, Pakistan.
Hafiz Muhammad Imran Central Cotton Research Institute, Multan, Pakistan.
Javed Iqbal Cotton Research Institute, Multan, Pakistan.
Muhammad Ilyas Sarwar Central Cotton Research Institute, Multan, Pakistan.
Hafiz Naveed Ramzan Agronomic Research Institute, Faisalabad, Pakistan.
Muhammad Saqib Agronomic Research Institute, Faisalabad, Pakistan.
Fahid Ihsan Agronomic Research Institute, Faisalabad, Pakistan.
Babar Hussain Babar Agronomic Research Institute, Faisalabad, Pakistan.
Abstract
Cotton is a well-known agricultural and industrial crop that plays a significant role in Pakistan's economy. For this study, RCBD (Randomized Complete Block Design) using three replications was carried out to sow fifty different cotton genotypes. Results of the experiments showed that under normal and drought conditions, relative water content has highly significant and positive association with excise leaf water loss while at genotypic level, positively significant correlation with aforesaid traits has been found. Genotypes under study were assembled into five differing clusters by keeping a linkage space. Comparison of all five groups revealed that Cluster-1 is relevant to all the qualities being studied in both conditions as all these characters had the greatest value in the said group. The lowest ranked was observed for parameters under study in Cluster-5. These kinds of discoveries can be useful in planning the new hybridization programs to develop abiotic tolerance in the cotton.
Publication Details
Page(s) 81-87
Published Journal: Journal of Arable Crops and Marketing, Volume: 4, Issue: 2, Year: 2022

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Keywords
cluster analysis, Transpiration rate, Rate of photosynthesis, Cell injury
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