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Crop Breeding Chips and Genotyping Platforms: Progress, Challenges, and Perspectives.

Awais Rasheed1, Yuanfeng Hao2, Xianchun Xia2

  • 1Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100081, China; International Maize and Wheat Improvement Center (CIMMYT), c/o CAAS, Beijing 100081, China.

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Summary

Developing cost-effective genotyping platforms is crucial for crop molecular breeding. Future platforms will integrate automation, target functional polymorphisms, and improve prediction accuracy for economic traits.

Keywords:
Crop breedingGenotyping platformsGenotyping-by-sequencing (GBS)SNP arraysSingle nucleotide polymorphisms (SNPs)

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Area of Science:

  • Plant genetics and breeding
  • Genomics
  • Agricultural biotechnology

Background:

  • Molecular marker assays, including SNP arrays and genotyping-by-sequencing (GBS), are increasingly used for gene mapping in crops and trees.
  • Over 50 SNP arrays and 15 GBS platforms exist, but ultra-high-throughput, cost-effective options for breeding programs are lacking.

Purpose of the Study:

  • To review scientific bottlenecks in current SNP array and GBS technologies.
  • To propose strategies for developing targeted genotyping platforms for crop molecular breeding.
  • To outline the future of crop breeding chips and genotyping platforms.

Main Methods:

  • Review of existing SNP array and GBS technologies.
  • Discussion of challenges in cost-effectiveness and genotype-phenotype gap.
  • Proposal of strategies for future breeding platforms.

Main Results:

  • Existing platforms face cost and throughput limitations for applied breeding.
  • Future platforms require automation, targeting of functional polymorphisms, and high prediction accuracy for quantitative traits.
  • Significant challenges remain in technological cost-effectiveness and understanding genotype-phenotype relationships.

Conclusions:

  • Genotyping platforms are expected within ten years, driven by gene discovery, advanced analytics, multi-omics integration, and cost reduction.
  • These platforms will accelerate the development of improved crop cultivars with enhanced yield, quality, and climate change adaptation.