PDF(Pubmed)
Abstract：
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 F2, F3, and F4 generations resulting from crossing Giza 94 and Suvin. In 2016, the top 5% of plants from the F2 population were selected based on specific criteria. The superior families from the F3 generation were then selected to produce the F4 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 F2 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 F3 and F4 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.
摘要：
在2016年至2018年之间，农业研究中心的Sakha农业研究站对分离的棉花种群（GossypiumbarbadenseL.）进行了两轮谱系选择，使用了Giza94和Suvin的F2，F3和F4世代。2016年，F2种群中的前5％植物是根据特定标准选择的。然后选择F3代的高级家族在2017年生产F4家族，这些家族在2018年夏季以单植物后代行和批量实验的形式生长，并进行了三个重复的随机完整区组设计。随着时间的推移,大多数性状显示出种群的平均值增加，与所研究性状的后续世代相比,F2代具有更高的基因型变异系数(GCV)和表型变异系数(PCV)值。F3和F4代的GCV和PCV的大小相似，表明基因型比环境发挥了更大的作用。此外，广义上的遗传力平均值代代相传。选择标准I2，I4和I5有效地改善了大多数产量及其组成性状，而选择标准I1在改善早期性状方面是有效的。年夜多半产量及其构成性状之间呈显著正相关，强调它们在棉花产量中的重要性。这表明选择改善这些特征中的一个或多个将改善其他特征。9、13、19、20和21个家族是相关产量性状的最佳基因型，超越更好的父母，检查品种，并为大多数角色提供最佳价值。因此,育种者可以继续使用这些家族作为育种基因型，以开发具有高产率及其组成部分的品种。
