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Genotype by environment and GGE-biplot analyses for seed cotton yield in upland cotton

Imtiaz Ali, Naqib Ullah Khan, Fida Mohammad, Muhammad Atif Iqbal, Ammad Abbas, Farhatullah, Zarina Bibi, Sardar Ali, Ibni Amin Khalil, Sheraz Ahmad and Mehboob-Ur-Rahman

Field testing in multiple environments can help in identifying relatively stable genotypes. A total of 28 upland cotton genotypes were tested in the normal cotton growing season during 2012 and 2013 at three locations (Peshawar, D.I.Khan and Faisalabad) of Pakistan. Genotypes (G) across environments (Y-Years, L-Locations) revealed significant (p˂0.01) differences for seed cotton yield. Genotypes varied significantly (p˂0.01) for their average mean performance over different years and locations. Moreover, the interaction effects due to G × Y × L were also significant (p˂0.01). In total sum of squares, the involvement of genotypes, environments (years, locations) and their interactions ranged from 3.01 to 37.90%. Overall, the variation was mainly attributed to environments (years) (37.90%) followed by the G × Y × L (17.94%) and genotypes (15.33%). Analysis of locations revealed that the cotton genotypes showed maximum mean values for seed cotton yield in Peshawar region, Pakistan. Comparative performance of genotypes through genotype by environment interaction (GEI) revealed that genotypes produced maximum seed cotton yield during 2013 at Peshawar followed by NIBGE - Faisalabad, Pakistan. The seed cotton yield was found significantly (p˂0.01) positively associated with earliness, morphological and yield traits, while the said association was negative with majority of the fiber quality traits. Stability in performance of the 28 genotypes was tested using GGE-biplot approach across six environments. Based on GEI and GG-biplot analysis, genotypes NIBGE-4 and IR-NIBGE-2620 were identified as vertex and ideal cultivars with more stability and seed cotton yield

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