In this research a machine learning framework was developed for cotton yield estimation
using multi-temporal remote sensing data collected from unmanned aircraft system (UAS) …

Yield and fiber quality of cotton even varies within locules in a boll, but it is not clear how
yield components and quality parameters are altered across seed positions of a locule …

The number of cotton plants grown per unit of ground area has gained attention due to the
high prices of inputs and lower production. Cotton yield per unit of area in Henan province …

Key message A Bayesian linkage disequilibrium-based multiple-locus mixed model
identified QTLs for fibre, seed and oil traits and predicted breeding worthiness of test lines …

Background The approach of directly testing yarn quality to define fibre quality breeding
objectives and progress the selection is attractive but difficult when considering the need for …

Cotton (Gossypium hirsutum L.) lint yield and fiber quality are associated with various yield
components. Research efforts addressing intra‐boll yield component contributors to lint …

Lint yields and their underlying yield components can be substantially influenced by
genotype and environment. Thus, the objectives of the current study were to quantify …

Cotton seed trichomes are the most important source of natural fibers globally. The major
fiber thickness properties influence the price of the raw material, and the quality of the …

This research investigated the use of elite parents and breeding selection strategies for
reducing the negative association between cotton yield and fibre quality. Three populations …

Most of the current principles used in conventional cotton (Gossypium hirsutum L.) breeding
programs are similar to those used over the past half century, but techniques and …