Genetics Selection Evolution

杂志介绍

Genetics Selection Evolution杂志介绍

《Genetics Selection Evolution》是一本以English/French/German为主的开放获取国际优秀期刊，中文名称遗传学选择进化，本刊主要出版、报道农林科学-AGRICULTURE, DAIRY & ANIMAL SCIENCE领域的研究动态以及在该领域取得的各方面的经验和科研成果，介绍该领域有关本专业的最新进展，探讨行业发展的思路和方法，以促进学术信息交流，提高行业发展。该刊已被国际权威数据库SCIE收录，为该领域相关学科的发展起到了良好的推动作用，也得到了本专业人员的广泛认可。该刊最新影响因子为3.6，最新CiteScore 指数为6.5。

本刊近期中国学者发表的论文主要有：

• Genomic evaluation for two-way crossbred performance in cattle

  Author: Mei, Quanshun; Liu, Huiming; Zhao, Shuhong; Xiang, Tao; Christensen, Ole F.

• A web tool for the global identification of pig breeds

  Author: Miao, Jian; Chen, Zitao; Zhang, Zhenyang; Wang, Zhen; Wang, Qishan; Zhang, Zhe; Pan, Yuchun

• Genomic prediction in pigs using data from a commercial crossbred population: insights from the Duroc x (Landrace x Yorkshire) three-way crossbreeding system

  Author: Liu, Siyi; Yao, Tianxiong; Chen, Dong; Xiao, Shijun; Chen, Liqing; Zhang, Zhiyan

• Genetic architecture of fatty acid composition in the longissimus dorsi muscle revealed by genome-wide association studies on diverse pig populations.

  Author: Zhang W, Zhang J, Cui L, Ma J, Chen C, Ai H, Xie X, Li L, Xiao S, Huang L, Ren J, Yang B.

英文介绍

Genetics Selection Evolution杂志英文介绍

Genetics Selection Evolution invites basic, applied and methodological content that will aid the current understanding and the utilization of genetic variability in domestic animal species. Although the focus is on domestic animal species, research on other species is invited if it contributes to the understanding of the use of genetic variability in domestic animals. Genetics Selection Evolution publishes results from all levels of study, from the gene to the quantitative trait, from the individual to the population, the breed or the species. Contributions concerning both the biological approach, from molecular genetics to quantitative genetics, as well as the mathematical approach, from population genetics to statistics, are welcome. Specific areas of interest include but are not limited to: gene and QTL identification, mapping and characterization, analysis of new phenotypes, high-throughput SNP data analysis, functional genomics, cytogenetics, genetic diversity of populations and breeds, genetic evaluation, applied and experimental selection, genomic selection, selection efficiency, and statistical methodology for the genetic analysis of phenotypes with quantitative and mixed inheritance.