The Molecular Breeding Research Group of the Cotton Research Institute of the Chinese Academy of Agricultural Sciences and 13 scientific research institutions including Northwest A&F University and Zhengzhou University revealed the genetic relationship between cotton yield and fiber quality traits through genetic loci. Quantitative traits across the genome. The basis is to use marker-assisted selection and genome editing technologies to further improve the quality and yield of cotton fiber, and provide important genetic resources and locus information. Related research results are published online in the journal Plant Biotechnology.

Shang Haihong, a researcher at the Cotton Research Institute of the Chinese Academy of Agricultural Sciences, said that cotton is the most widely planted fiber crop in the world, and the modern textile industry is increasingly demanding fiber quality. However, the main component of cotton fiber yield traits, that is, clothing and cotton fiber quality traits are negatively correlated, which is a problem that has plagued cotton breeders for a long time. It is difficult to improve cotton fiber quality and yield at the same time through conventional breeding methods.

This study used the hybridization technology of parent 0-153 and SGK9708 to evaluate the cotton yield and fiber quality of 22 environments in the Yellow River Basin and the northwest inland cotton region, and obtained fiber length, strength, micronaire value and whole genome sequencing. There are 983 genetic loci related to yield and quality, such as boll weight, clothing, and secondary fingers. Among them, 198 genetic loci were detected for multiple environmental stability, and 155 were reported for the first time. These quantitative trait genetic loci constitute 37 clusters and 59 clusters. Among the 5 pairs of traits with medium to high positive correlation, 92.8% of the traits have the same additive effect direction, and among the 5 pairs of traits with medium to high negative correlation, the additive effects of all quantitative traits are opposite. The yield of the genetic locus cluster is negatively correlated with the additive effects of the six quantitative trait loci. The genetic effects of the quantitative trait locus cluster qClu-chr13-2 obtained in this study have been further verified in natural populations. Quality and production are important.