文献类型： 外文期刊
作者： Zhang, Qianqian 1 ; Zhang, Qin 2 ; Jensen, Just 4 ;
作者机构： 1.Beijing Acad Agr & Forestry Sci, Inst Biotechnol, Beijing, Peoples R China
2.Shandong Agr Univ, Coll Anim Sci & Technol, Tai An, Peoples R China
3.China Agr Univ, Coll Anim Sci & Technol, Beijing, Peoples R China
4.Aarhus Univ, Ctr Quantitat Genet & Genom, Aarhus, Denmark
关键词： agriculture; genome-wide association study; genomic prediction; breeding; genetic improvement
期刊名称：FRONTIERS IN PLANT SCIENCE （ 影响因子：6.627； 五年影响因子：7.255 ）
ISSN： 1664-462X
年卷期： 2022 年 13 卷
页码：
收录情况： SCI
摘要： To feed the fast growing global population with sufficient food using limited global resources, it is urgent to develop and utilize cutting-edge technologies and improve efficiency of agricultural production. In this review, we specifically introduce the concepts, theories, methods, applications and future implications of association studies and predicting unknown genetic value or future phenotypic events using genomics in the area of breeding in agriculture. Genome wide association studies can identify the quantitative genetic loci associated with phenotypes of importance in agriculture, while genomic prediction utilizes individual genetic value to rank selection candidates to improve the next generation of plants or animals. These technologies and methods have improved the efficiency of genetic improvement programs for agricultural production via elite animal breeds and plant varieties. With the development of new data acquisition technologies, there will be more and more data collected from high-through-put technologies to assist agricultural breeding. It will be crucial to extract useful information among these large amounts of data and to face this challenge, more efficient algorithms need to be developed and utilized for analyzing these data. Such development will require knowledge from multiple disciplines of research.
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