Accurate phenotype prediction of quantitative traits is paramount to enhanced plant research
and breeding. Here, we report the accurate prediction of cotton fiber length, a typical …

Stagnated crop improvement has raised questions of whether and how current crop cultivars
can be further improved. Genes are the core determinants of performance of all cultivars …

Accurate, simple, rapid, and inexpensive prediction of complex traits controlled by numerous
genes is paramount to enhanced plant breeding, animal breeding, and human medicine …

Background Improving cotton fiber length without reducing yield is one of the major goals of
cotton breeding. However, genetic improvement of cotton fiber length by breeding has been …

Genomic selection or genomic prediction (GP) has increasingly become an important
molecular breeding technology for crop improvement. GP aims to utilise genome-wide …

Fiber length is an important determinant of fiber quality, and it is a quantitative multi-genic
trait. Identifying genes associated with fiber length is of great importance for efforts to …

Fiber quality is an important economic index and a major breeding goal in cotton, but direct
phenotypic selection is often hindered due to environmental influences and linkage with …

Fiber length (FL) is an important fiber quality trait in cotton. Although many fiber quality
quantitative trait loci (QTL) responsible for FL have been identified, most cannot be applied …

Gossypium provides the foremost natural fiber for supporting the rapid development of the
textile industry. Quantitative trait locus (QTL) mapping of fiber yield and quality traits is, thus …

Researchers have used quantitative genetics to map cotton fiber quality and agronomic
performance loci, but many alleles may be population or environment-specific, limiting their …