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All Journal Journal of Agro Plantation (JAP)
Hafiz Usama Manzoor Usama Manzoor
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Agriculture, Biological Sciences & Forestry

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EXPLORING GENETIC DIVERSITY AND TRAIT RELATIONSHIPS FOR COTTONIMPROVEMENT THROUGH MULTIVARIATE ANALYSIS Umar Bashir; Qasim Ram; Jahanzaib; Muhammad Abdullah; Hafiz Usama Manzoor Usama Manzoor; Inshara Eman; Ali Haider; Arslan Arshad; Muhammad Saad Rafique; Muhammad Noman Manzoor; Hafiz Rafi U deen
Journal of Agro Plantation (JAP) Vol 5 No 2 (2026)
Publisher : Politeknik Negeri Ketapang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58466/t42wzf08

Abstract

Genetic diversity and relationships among agronomic, physiological, fiber, and yield traits were described in 16 cotton (Gossypium hirsutum L.) genotypes evaluated in a randomized complete block design (RCBD) with three replications at the Research Farm of The Islamia University of Bahawalpur, Pakistan. Traits included plant height, number of nodes, monopodial and sympodial branches, green and open bolls, net photosynthetic rate, fiber length, ginning out-turn (GOT), and seed cotton yield. The supplied correlation matrix showed positive associations of yield with GOT (r = 0.492), open bolls (r = 0.457), sympodial branches (r = 0.354), and nodes (r = 0.330), while yield was nearly uncorrelated with net photosynthetic rate (r = 0.008) and negatively correlated with fiber length (r = −0.261) and green bolls (r = −0.163). The reported first three principal components explained 81.968% of total variation. Cluster summaries indicated higher mean yield in Cluster 1 (4.936) than in Cluster 2 (4.606), whereas Cluster 2 had slightly higher mean photosynthetic rate and fiber length. These results suggest useful diversity for parent selection, but statistical outputs and some reported significance tests require confirmation from the original plot-level data before definitive inference.
Co-Authors Ali Haider Arslan Arshad Hafiz Rafi U deen Inshara Eman Jahanzaib Muhammad Abdullah Muhammad Noman Manzoor Muhammad Saad Rafique Qasim Ram Umar Bashir