光合稳定性和理化特性在实际田间条件下选择改良棉花基因型中的作用

I. Javed, S. Ashraf, N. Parveen, M. Jamil, W. Ghaffar, A. Sardar, MJ Qamar, MR Farooq, S. Saleem, F. Habib, M. Akram, Z. Javeed, M. Khalid, MI Latif, A. Rauf, F. Hussain, B. Ali, W. Hassan, N. Manzoor, M. Yousaf, S HUSSAIN
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引用次数: 0

摘要

目前的实验研究是在 2022 年棉花生长期间在巴哈瓦尔布尔棉花研究站进行的。该研究旨在根据棉花光合作用的可持续性和其他理化特性对棉花优良基因型进行评估,这有助于为改良纸箱基因型的开发制定选择标准。结果表明,在所研究的形态生理、光合和生化性状(即 CLCV 发生率、棉铃数、每株合生孢子数、棉铃重、净光合速率、总叶绿素含量、蒸腾速率、气孔导度、糖含量、总酚含量、抗坏血酸和籽棉产量)方面,精英棉花基因型之间存在非常显著的差异。此外,相关系数分析表明籽棉产量与蒸腾速率、含糖量、气孔导度、净光合速率、轧棉转数和单株合叶有很强的相关性,而总酚含量则呈很强的负相关。这些结果也通过平均条形图和双线图得到了验证,表明在最佳条件下,这些性状对籽棉产量的影响最大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ROLE OF PHOTOSYNTHETIC STABILITY AND PHYSIO-CHEMICAL ATTRIBUTES IN THE SELECTION OF IMPROVED COTTON GENOTYPES IN ACTUAL FIELD CONDITIONS
The current experimental study was conducted at Cotton Research Station, Bahawalpur during the cotton growing in 2022. The study was designed to evaluate the elite cotton genotypes based on their photosynthetic sustainability and other physiochemical attributes which could help in framing a selection criterion for the development of improved carton genotypes. The results revealed that highly significant variations were present among the elite cotton genotypes for studied morpho-physiological, photosynthetic and biochemical traits i.e., CLCV incidence percentage, number of bolls, sympodia per plant, boll weight, net photosynthetic rate, total chlorophyll contents, transpiration rate, stomatal conductance, sugar contents, total phenolic contents, ascorbic acid and seed cotton yield, which could be used in devising selection criteria for this election of parental material to be used in the hybridization program. Furthermore, the correlation coefficient analysis unveiled the strong correlation of seed cotton yield with transpiration rate, sugar contents, stomatal conductance, net photosynthetic rate, ginning out turn and sympodia per plant whereas a strong negative correlation was found for total phenolic contents. These results were also verified through the mean bar graphs and biplot graphs which show that these traits have the highest influence on seed cotton yield under the optimal condition.
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