Plant Production Department, Faculty of Agriculture (Saba Basha), Alexandria University, Alexandria, 21531, Egypt.
Cotton Breeding Department, Cotton Research Institute, Agriculture Research Center, Giza, Egypt.
Sci Rep. 2024 Apr 2;14(1):7723. doi: 10.1038/s41598-024-57676-w.
Between 2016 and 2018, the Agriculture Research Center's Sakha Agriculture Research Station conducted two rounds of pedigree selection on a segregating population of cotton (Gossypium barbadense L.) using the F, F, and F generations resulting from crossing Giza 94 and Suvin. In 2016, the top 5% of plants from the F population were selected based on specific criteria. The superior families from the F generation were then selected to produce the F families in 2017, which were grown in the 2018 summer season in single plant progeny rows and bulk experiments with a randomized complete block design of three replications. Over time, most traits showed increased mean values in the population, with the F generation having higher Genotypic Coefficient of Variance (GCV) and Phenotypic Coefficient of Variance (PCV) values compared to the succeeding generations for the studied traits. The magnitude of GCV and PCV in the F and F generations was similar, indicating that genotype had played a greater role than the environment. Moreover, the mean values of heritability in the broad sense increased from generation to generation. Selection criteria I2, I4, and I5 were effective in improving most of the yield and its component traits, while selection criterion I1 was efficient in improving earliness traits. Most of the yield and its component traits showed a positive and significant correlation with each other, highlighting their importance in cotton yield. This suggests that selecting to improveone or more of these traits would improve the others. Families number 9, 13, 19, 20, and 21 were the best genotypes for relevant yield characters, surpassing the better parent, check variety, and giving the best values for most characters. Therefore, the breeder could continue to use these families in further generations as breeding genotypes to develop varieties with high yields and its components.
2016 年至 2018 年,萨哈农业研究站农业研究中心(Sakha Agriculture Research Station)利用吉扎 94 和苏文杂交产生的 F1、F2 和 F3 代分离群体,对棉花(Gossypium barbadense L.)进行了两轮系谱选择。2016 年,根据特定标准从 F1 群体中选择了前 5%的植株。然后从 F2 代中选择优良家系,在 2017 年产生 F3 家系,在 2018 年夏季单株品系和三重复随机完全区组设计的混收试验中种植。随着时间的推移,大多数性状的群体平均值都有所增加,与后续世代相比,F2 代的遗传方差(GCV)和表型方差(PCV)值更高。F 和 F2 代的 GCV 和 PCV 幅度相似,表明基因型比环境的作用更大。此外,广义遗传力的平均值逐代增加。选择标准 I2、I4 和 I5 有效地提高了大多数产量及其构成性状的水平,而选择标准 I1 则有效地提高了早熟性状的水平。大多数产量及其构成性状之间呈正相关且显著相关,这表明选择其中一个或多个性状可以提高其他性状的水平。9、13、19、20 和 21 号家系是与产量相关的性状的最佳基因型,超过了较好的亲本和对照品种,大多数性状的值都最好。因此,育种者可以在进一步的世代中继续使用这些家系作为选育基因型,以培育具有高产量及其构成的品种。