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Mango breeding faces challenges from climate change and genetic limitations. Recent advances in genomics and multiomics offer new strategies for developing climate-resilient, high-quality mango varieties.

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Area of Science:

  • Horticultural Science
  • Plant Genetics
  • Genomics

Background:

  • Mango production faces significant challenges including climate change, diseases, and physiological disorders impacting yield and quality.
  • Traditional mango breeding programs are slow due to long juvenile periods, outdated systems, and high heterozygosity.

Purpose of the Study:

  • To review recent advancements in mango genetics and breeding.
  • To discuss the integration of multiomics and quantitative genetics for crop improvement.
  • To identify research gaps and propose strategies for accelerated development of climate-resilient mango cultivars.

Main Methods:

  • Review of recent progress in mango origin, domestication, genome assemblies, and genetic mapping.
  • Analysis of functional and comparative genomics, evolutionary insights, and phenotypic/genotypic diversity.
  • Discussion on integrating multiomics, quantitative genetics, and machine learning for breeding.

Main Results:

  • Significant progress has been made in high-quality genome assemblies, pangenomics, and multiomics data for mango.
  • These advances are accelerating crop genetics and breeding efforts.
  • Key research gaps limiting breeding efficiency have been identified.

Conclusions:

  • Integrative strategies combining pangenomics, multiomics, and machine learning are crucial for accelerating mango improvement.
  • Developing climate-resilient and high-quality mango cultivars requires advanced genomic and phenomic approaches.
  • Addressing research gaps will enhance the efficiency of mango breeding programs.