Enhancing Genetic Gain through Genomic Selection: From Livestock to Plants  

作　　者：Yunbi Xu Xiaogang Liu Junjie Fu Hongwu Wang Jiankang Wang Changling Huang Boddupalli MPrasanna Michael SOlsen Guoying Wang Aimin Zhang 

机构地区：[1]Institute of Crop Science/CIMMYT-China,Chinese Academy of Agricultural Sciences,Beijing 100081,China [2]CIMMYT-China Tropical Maize Research Center,Foshan University,Foshan 528231,China [3]CIMMYT-China Specialty Maize Research Center,Shanghai Academy of Agricultural Sciences,Shanghai 201400,China [4]Institute of Genetics and Developmental Biology,Chinese Academy of Sciences,Beijing 100101,China [5]CIMMYT(International Maize and Wheat Improvement Center),ICRAF Campus,United Nations Avenue,Nairobi,Kenya

出　　处：《Plant Communications》2020年第1期4-24,共21页植物通讯（英文）

基　　金：The research involved in this report was supported by the National Key Research and Development Program of China(2016YFD0101803);the National Key Basic Research Program of China(2014 CB138206);the Agricultural Science and Technology Innovation Program of CAAS,and Fundamental Research Funds for Central Non-Profit of Institute of Crop Sciences,CAAS(1610092016124);Research activities of CIMMYT staff have been supported by the Bill and Melinda Gates Foundation and the CGIAR Research Program MAIZE.

摘　　要：Although long-term genetic gain has been achieved through increasing use of modern breeding methods and technologies,the rate of genetic gain needs to be accelerated to meet humanity’s demand for agricultural products.In this regard,genomic selection(GS)has been considered most promising for genetic improvement of the complex traits controlled by many genes each with minor effects.Livestock scientists pioneered GS application largely due to livestock’s significantly higher individual values and the greater reduction in generation interval that can be achieved in GS.Large-scale application of GS in plants can be achieved by refining field management to improve heritability estimation and prediction accuracy and developing optimum GS models with the consideration of genotype-by-environment interaction and non-additive effects,along with significant cost reduction.Moreover,it would be more effective to integrate GS with other breeding tools and platforms for accelerating the breeding process and thereby further enhancing genetic gain.In addition,establishing an open-source breeding network and developing transdisciplinary approaches would be essential in enhancing breeding efficiency for small-and medium-sized enterprises and agricultural research systems in developing countries.New strategies centered on GS for enhancing genetic gain need to be developed.

关 键 词：genomic selection genetic gain open-source breeding genomic prediction molecular marker livestock breeding 

分 类 号：Q943.2[生物学—植物学]