Genomic Selection: Status in Different Species and Challenges for Breeding

选择(遗传算法) 基因分型 基因组选择 特质 生物 遗传增益 基因组学 繁殖 计算生物学 相关性(法律) 基因组 估计 生物技术 标记辅助选择 数量性状位点 基因型 进化生物学 遗传学 计算机科学 遗传变异 机器学习 基因 单核苷酸多态性 管理 经济 程序设计语言 法学 政治学
作者
K. Stock,R. Reents
出处
期刊:Reproduction in Domestic Animals [Wiley]
卷期号:48 (s1): 2-10 被引量:37
标识
DOI:10.1111/rda.12201
摘要

Technical advances and development in the market for genomic tools have facilitated access to whole-genome data across species. Building-up on the acquired knowledge of the genome sequences, large-scale genotyping has been optimized for broad use, so genotype information can be routinely used to predict genetic merit. Genomic selection (GS) refers to the use of aggregates of estimated marker effects as predictors which allow improved individual differentiation at young age. Realizable benefits of GS are influenced by several factors and vary in quantity and quality between species. General characteristics and challenges of GS in implementation and routine application are described, followed by an overview over the current status of its use, prospects and challenges in important animal species. Genetic gain for a particular trait can be enhanced by shortening of the generation interval, increased selection accuracy and increased selection intensity, with species- and breed-specific relevance of the determinants. Reliable predictions based on genetic marker effects require assembly of a reference for linking of phenotype and genotype data to allow estimation and regular re-estimation. Experiences from dairy breeding have shown that international collaboration can set the course for fast and successful implementation of innovative selection tools, so genomics may significantly impact the structures of future breeding and breeding programmes. Traits of great and increasing importance, which were difficult to improve in the conventional systems, could be emphasized, if continuous availability of high-quality phenotype data can be assured. Equally elaborate strategies for genotyping and phenotyping will allow tailored approaches to balance efficient animal production, sustainability, animal health and welfare in future.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
海晨完成签到,获得积分10
刚刚
努力的小K发布了新的文献求助10
1秒前
Jin应助隼叶采纳,获得10
1秒前
研友_VZG7GZ应助红雨灰衣采纳,获得10
1秒前
Orange应助李欣采纳,获得10
2秒前
2秒前
SciGPT应助开朗的觅柔采纳,获得10
2秒前
FrancisAndre发布了新的文献求助10
3秒前
赘婿应助lyg采纳,获得10
4秒前
WQ完成签到,获得积分10
4秒前
Ali发布了新的文献求助10
4秒前
123456完成签到 ,获得积分10
5秒前
桐桐应助Cloud采纳,获得10
5秒前
柠柠完成签到,获得积分10
5秒前
黄金矿工完成签到,获得积分10
6秒前
6秒前
刘英岑完成签到,获得积分10
6秒前
FashionBoy应助nast1c采纳,获得10
7秒前
深情安青应助悲凉的幻巧采纳,获得10
8秒前
xiao发布了新的文献求助10
8秒前
顺风顺水顺实验完成签到,获得积分10
8秒前
鳗鱼友琴完成签到,获得积分10
8秒前
www发布了新的文献求助10
9秒前
顺顺顺福关注了科研通微信公众号
9秒前
9秒前
俗人发布了新的文献求助10
10秒前
开朗的觅柔完成签到,获得积分10
11秒前
我不是BOB完成签到,获得积分10
11秒前
英俊的铭应助xiao采纳,获得10
11秒前
鳗鱼友琴发布了新的文献求助20
12秒前
慕青应助Tracy采纳,获得10
13秒前
13秒前
gaoxiansheng完成签到,获得积分10
14秒前
深情安青应助zc采纳,获得10
14秒前
老崔在此完成签到 ,获得积分10
14秒前
15秒前
狂野傲薇发布了新的文献求助10
15秒前
科目三应助逆天魔龙皇采纳,获得20
15秒前
孟孟发布了新的文献求助10
15秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Development of a Bridge Weigh-In-Motion System: A technology to convert the bridge response to the passage of traffic into data on vehicle configurations, speeds, times of travel and weights 1000
Current concepts in cutaneous toxicity : proceedings of the Fourth Conference on Cutaneous Toxicity, Washington, D.C., May 9-11, 1979 1000
ズームレンズの光学設計に関する研究 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7280312
求助须知:如何正确求助?哪些是违规求助? 8901460
关于积分的说明 18828852
捐赠科研通 6952305
什么是DOI,文献DOI怎么找? 3207336
关于科研通互助平台的介绍 2377633
邀请新用户注册赠送积分活动 2182399