[Background] Stem hardness is one of the major influencing factors for plant architecture in upland cotton (Gossypium hirsutum L.). Evaluating hardness phenotypic traits is very important for the selection of elite lines for resistance to lodging in Gossypium hirsutum L. Cotton breeders are interested in using diverse genotypes to enhance fiber quality and high-yield. Few pieces of research for hardness and its relationship with fiber quality and yield were found. This study was designed to find the relationship of stem hardness traits with fiber quality and yield contributing traits of upland cotton.
[Results] Experiments were carried out to measure the bending, acupuncture, and compression properties of the stem from a collection of upland cotton genotypes, comprising 237 accessions. The results showed that the genotypic difference in stem hardness was highly significant among the genotypes, and the stem hardness traits (BL, BU, AL, AU, CL, and CU) have a positive association with fiber quality traits and yield-related traits. Statistical analyses of the results showed that in descriptive statistics result bending (BL, BU) has a maximum coefficient of variance, but fiber length and fiber strength have less coefficient of variance among the genotypes. Principal component analysis (PCA) trimmed quantitative characters into nine principal components. The first nine principal components (PC) with Eigenvalues > 1 explained 86% of the variation among 237 accessions of cotton. Both 2017 and 2018, PCA results indicated that BL, BU, FL, FE, and LI contributed to their variability in PC1, and BU, AU, CU, FD, LP, and FWPB have shown their variability in PC2.
[Conclusion] We describe here the systematic study of the mechanism involved in the regulation of enhancing fiber quality and yield by stem bending strength, acupuncture, and compression properties of G. hirsutum.
[Title] Correlation analysis of stem hardness traits with fiber and yield-related traits in core collections of Gossypium hirsutum
[Authors] RAZA Irum, HU Daowu, AHMAD Adeel, LI Hongge, HE Shoupu, NAZIR Mian Faisal, WANG Xiaoyang, JIA Yinhua, PAN Zhaoe, ZHANG Peng, YASIR Muhammad, IQBAL Muhammad Shahid, GENG Xiaoli, WANG Liru, PANG Baoyin and DU Xiongming
Journal of Cotton Research 2021, 4: 8