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Bioinformatics in Plant Breeding and Research on Disease Resistance

Huiying Mu, Baoshan Wang, Fang Yuan

发表年份
2022
引用次数
28
访问权限
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摘要

In the context of plant breeding, bioinformatics can empower genetic and genomic selection to determine the optimal combination of genotypes that will produce a desired phenotype and help expedite the isolation of these new varieties. Bioinformatics is also instrumental in collecting and processing plant phenotypes, which facilitates plant breeding. Robots that use automated and digital technologies to collect and analyze different types of information to monitor the environment in which plants grow, analyze the environmental stresses they face, and promptly optimize suboptimal and adverse growth conditions accordingly, have helped plant research and saved human resources. In this paper, we describe the use of various bioinformatics databases and algorithms and explore their potential applications in plant breeding and for research on plant disease resistance.

关键词

Genomic selectionContext (archaeology)BiotechnologyPlant breedingSelection (genetic algorithm)Resistance (ecology)Plant diseasePlant disease resistanceBiologyComputer science

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