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
脑洞疼应助DDG采纳,获得10
刚刚
DKJ应助机灵猕猴桃采纳,获得10
1秒前
2秒前
3秒前
3秒前
3秒前
林莹发布了新的文献求助10
4秒前
5秒前
于洛铱完成签到,获得积分10
6秒前
解放之鼓发布了新的文献求助10
6秒前
Rita发布了新的文献求助10
7秒前
zyw发布了新的文献求助10
7秒前
LinYX发布了新的文献求助10
8秒前
sss发布了新的文献求助10
8秒前
8秒前
慕青应助茴香采纳,获得10
9秒前
9秒前
jll发布了新的文献求助30
10秒前
NexusExplorer应助qianqina采纳,获得30
10秒前
xqa发布了新的文献求助10
11秒前
年轻沛儿发布了新的文献求助30
11秒前
cdercder应助AAEB5采纳,获得20
11秒前
12秒前
害怕的思天完成签到,获得积分10
13秒前
核桃应助Nn采纳,获得50
15秒前
16秒前
17秒前
aaaa应助蓝天采纳,获得10
19秒前
20秒前
20秒前
茴香发布了新的文献求助10
22秒前
林莹完成签到,获得积分10
23秒前
dawn发布了新的文献求助10
23秒前
天天快乐应助体贴的语柔采纳,获得10
24秒前
xqa完成签到,获得积分10
25秒前
123完成签到,获得积分10
25秒前
27秒前
qianqina发布了新的文献求助30
28秒前
legal应助超级玛丽采纳,获得10
29秒前
30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
Arthritis and Related Conditions, An Issue of Orthopedic Clinics 1000
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
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 7287668
求助须知:如何正确求助?哪些是违规求助? 8907418
关于积分的说明 18851235
捐赠科研通 6956438
什么是DOI,文献DOI怎么找? 3208678
关于科研通互助平台的介绍 2378518
邀请新用户注册赠送积分活动 2184319