Skip to main content

and
  1. Article

    Open Access

    Quantitative 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...

    Zitong Li, Qian-Hao Zhu, Philippe Moncuquet in Theoretical and Applied Genetics (2024)

  2. No Access

    Chapter

    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...

    Lucy Egan, Qian-Hao Zhu, Iain Wilson in Plant Resistance to Insects in Major Field… (2024)

  3. Article

    Open Access

    Are 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...

    Shiming Liu, Stuart Gordon, Warwick Stiller in Journal of Cotton Research (2023)