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Cotton is a cash crop which contributes a high value addition in the economy of Pakistan. Sixty six cotton genotypes divided into three sets (Set-I, II, III) were tested in 14 unique environment’s (areas). A statistically graphical approach GGE biplot was applied to check the yield stability of genotypes. The Set-I had 23 genotypes which were tested in 14 different environments, out of which 4 genotypes (G12, G15, G18 and G19) showed best performance. While, Set-II had 21 genotypes from which 2 genotypes (G4 and G14) were most stable genotypes. While in Set-III 22 genotypes were tested from which 2 genotypes (G12 and G17) were the best and stable performing genotypes.

Muhammad Zubair, Lal Hussain Akhtar, Sabir Hussain, Imtiaz Ali, Muhammad Tariq Mahmood, Mashal Rehman, Rashid Minhas, Muhammad Shahjahan Bukhari, Muhammad Imran Akram, Rahmat Ullah. (2020) ASSESSMENT OF GENOTYPE BY ENVIRONMENT INTERACTION (GEI) TO DETERMINE MEGA-ENVIRONMENT IN HIGHLY ADAPTABLE/STABLE CULTIVARS OF COTTON (GOSSYPIUM HIRSUTUM L.), , Volume 17, Issue 3.
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