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Yield Performance of Cotton Genotypes Across Diverse Environments in Punjab, Pakistan

Yield Performance of Cotton Genotypes Across Diverse Environments in Punjab, Pakistan

Muhammad Jamil1*, Rao Sohail Ahmad Khan2, Rana Abdul Hameed Khan3, Khezir Hayat4, Saeed Ahmad5, Abdul Sattar6, Umair Faheem7, Hira Saher8 and Ayesha Bibi8

1Cotton Research Station Vehari, Pakistan; 2Center of Agricultural Biochemistry and Biotechnology, University of Agriculture Faisalabad, Pakistan; 3Maize and Millets Research Institute Yusaf wala Sahiwal, Pakistan; 4Central Cotton Research Institute old Shujabad Road Multan, Pakistan; 5Cotton Research Institute old Shujabad Road Multan, Pakistan; 6Soil and water testing laboratory Vehari, Pakistan; 7Entomological Research Sub Station Multan, Pakistan; 8Rice Research Institute Kala Shah Kaku, Pakistan.

 
*Correspondence | Muhammad Jamil, Cotton Research Station Vehari, Pakistan; Email: [email protected] 

ABSTRACT

An ideal genotype must possess yield constancy under erratic environments to become a popular cultivar. The genotypes contributing least towards genotype by environment interaction (GEI) are considered stable ones. The present experiment was carried out at five locations viz., Multan, Faisalabad, Khanpur, Vehari and Sahiwal in the Punjab province in Pakistan for two years 2020-21 and 2021-22. Ten promising upland cotton genotypes recently bred by different research stations were sown by following a randomized complete block design (RCBD) with three replications. The main objective was to pinpoint cotton genotypes with stable yield performance across the studied environments. Additive main effects and multiplicative interaction (AMMI) analysis results depicted that maximum variability was due to environments (63.9%) followed by GEI (24.1%). The first two interaction principal components (IPCs) were squeezed with 75% of variability due to GEI. The genotype GN01 (SLH-Chandi) produced the maximum seed cotton yield (2181 kg ha-1) and was the winner in this trial. The site EN03 (Faisalabad during 2020-21) produced the highest seed cotton yield (2541 kg ha-1) with a (-6.82) IPC1 score. Genotype selection index (GSI: A non-parametric approach to determine yield stability) discriminated the genotype UAM-20 (GN08) as yielder cum stable one with the least GSI value of (6) followed by VH-418 (GN03), BH-225 (GN07) and Weal-Ag-11 (GN10) with same GSI value of (8). Approval of these genotypes for general cultivation from an authorized forum may be obtained to boost cotton production in the province.

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Sarhad Journal of Agriculture

September

Vol.40, Iss. 3, Pages 680-1101

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