种质资源
生物
生物技术
鉴定(生物学)
选择(遗传算法)
基因组学
基因分型
组学
分子育种
作物
基因组
计算生物学
数据科学
生物信息学
遗传学
计算机科学
基因
基因型
生态学
农学
人工智能
作者
Peter Langridge,Delphine Fleury
标识
DOI:10.1016/j.tibtech.2010.09.006
摘要
Adoption of new breeding technologies is likely to underpin future gains in crop productivity. The rapid advances in 'omics' technologies provide an opportunity to generate new datasets for crop species. Integration of genome and functional omics data with genetic and phenotypic information is leading to the identification of genes and pathways responsible for important agronomic phenotypes. In addition, high-throughput genotyping technologies enable the screening of large germplasm collections to identify novel alleles from diverse sources, thus offering a major expansion in the variation available for breeding. In this review, we discuss these advances, which have opened the door to new techniques for construction and screening of breeding populations, to increase ultimately the efficiency of selection and accelerate the rates of genetic gain.
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