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Article
Open AccessQuantitative genomics-enabled selection for simultaneous improvement of lint yield and seed traits in cotton (Gossypium hirsutum L.)
A Bayesian linkage disequilibrium-based multiple-locus mixed model identified QTLs for fibre, seed and oil traits and predicted breeding worthiness of test lines, enabling their simultaneous improvement in cot...
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Host Plant Resistance to Insects in Cotton
Across the globe, cotton production is limited by endemic and introduced insect pests. The incorporation of host plant resistance (HPR), defined as the ability of a plant to defend itself against targeted biot...
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Article
Open AccessAre yarn quality prediction tools useful in the breeding of high yielding and better fibre quality cotton (Gossypium hirsutum L.)?
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 time and labour. The question rema...
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Article
Open AccessGenomic prediction of cotton fibre quality and yield traits using Bayesian regression methods
Genomic selection or genomic prediction (GP) has increasingly become an important molecular breeding technology for crop improvement. GP aims to utilise genome-wide marker data to predict genomic breeding valu...
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Article
Genome-wide association study of yield components and fibre quality traits in a cotton germplasm diversity panel
A genome-wide association study (GWAS) was conducted on a diversity panel of 103 cotton accessions over three seasons to determine genetic contributions to a range of cotton yield components including fibre qu...
