雜志介紹

Genetics Selection Evolution雜志介紹

《Genetics Selection Evolution》是一本以English/French/German為主的開放獲取國際優(yōu)秀期刊，中文名稱遺傳學選擇進化，本刊主要出版、報道農林科學-AGRICULTURE, DAIRY & ANIMAL SCIENCE領域的研究動態(tài)以及在該領域取得的各方面的經驗和科研成果，介紹該領域有關本專業(yè)的最新進展，探討行業(yè)發(fā)展的思路和方法，以促進學術信息交流，提高行業(yè)發(fā)展。該刊已被國際權威數(shù)據(jù)庫SCIE收錄，為該領域相關學科的發(fā)展起到了良好的推動作用，也得到了本專業(yè)人員的廣泛認可。該刊最新影響因子為3.6，最新CiteScore 指數(shù)為6.5。

本刊近期中國學者發(fā)表的論文主要有：

• 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.

英文介紹

Genetics Selection Evolution雜志英文介紹

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.