Has genomic selection fulfilled its promise?

选择(遗传算法) 基因组选择 计算生物学 计算机科学 生物 人工智能 遗传学 基因 基因型 单核苷酸多态性
作者
Robert Banks
标识
DOI:10.1079/cabireviews.2024.0028
摘要

Abstract Genomic selection has been increasingly implemented since its initial description in 2001. The initial focus of activity was in the dairy industry in the developed world but it has now been adopted in all major livestock species, and adoption is underway in most agronomically important plants. The promise of genomic selection includes increased accuracy of estimation of genetic merit, earlier estimation of genetic merit, the capacity to make improvements in traits previously less tractable to genetic change, and the capacity to estimate genetic merit in animals without phenotypic records. Each of these benefits has been realised in practice, with the significance of the opportunity varying with species. At the same time, ease of adoption and realisation of benefits has varied, based on three broad parameters: the availability of suitable (and sufficiently cheap) genotyping tools, the prior extent of systematic recording of phenotypes, and the use of estimates of genetic merit in selection. The effectiveness of genomic selection depends on the existence and composition of a genomic reference population, and this is the most significant challenge for any industry, breed or breeding program seeking to achieve the available benefits. The challenge is two-fold: first, to ensure that sufficient of the right phenotypes are recorded on the right animals, and second, flowing directly from the first, is to fund the phenotyping effort – and challenges aspects are ongoing. “Right” in the context of both phenotypes and animals means most informative, or relevant to the breeding objective or goal. No standard approach has been outlined for addressing these challenges, but the review presents some simple conceptual thinking that can assist. Genomic selection also heightens the importance of ensuring maintenance of genetic diversity, and of monitoring changes in both selected and non-selected traits. Genomic selection has fulfilled its promise where applied effectively and is increasing scope for genetic improvement both in rate of progress and trait coverage. At the same time, its dependencies must be addressed in order to the potential benefits to be realised, and this will likely require new organisational and funding arrangements in many situations.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
不懂白完成签到 ,获得积分10
刚刚
悦耳虔纹完成签到,获得积分10
1秒前
顺利毕业发布了新的文献求助10
1秒前
俭朴的发带完成签到,获得积分10
1秒前
2秒前
文文完成签到,获得积分10
2秒前
科研通AI2S应助Sayhai采纳,获得10
2秒前
2秒前
3秒前
炖地瓜完成签到 ,获得积分10
3秒前
3秒前
稳重向南发布了新的文献求助10
3秒前
3秒前
苹果寒香完成签到,获得积分10
4秒前
活力小夏发布了新的文献求助20
4秒前
慕青应助珍珍采纳,获得10
4秒前
青雉完成签到,获得积分10
4秒前
zhusealin完成签到,获得积分10
5秒前
思源应助邱静采纳,获得10
5秒前
yu完成签到,获得积分10
6秒前
研0发布了新的文献求助10
6秒前
YRX完成签到,获得积分10
6秒前
8R60d8应助精明的忘幽采纳,获得10
6秒前
6秒前
6秒前
6秒前
浮游应助无定采纳,获得10
7秒前
Hello应助Snoopy采纳,获得10
7秒前
7秒前
李爱国应助lll采纳,获得10
7秒前
东皇太一完成签到,获得积分10
7秒前
荣枫发布了新的文献求助10
8秒前
8秒前
df完成签到 ,获得积分10
8秒前
9秒前
闪闪的从安完成签到,获得积分10
9秒前
9秒前
penghui发布了新的文献求助10
9秒前
10秒前
萝卜完成签到,获得积分20
10秒前
高分求助中
(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
An overview of orchard cover crop management 1000
二维材料在应力作用下的力学行为和层间耦合特性研究 600
苯丙氨酸解氨酶的祖先序列重建及其催化性能 500
Schifanoia : notizie dell'istituto di studi rinascimentali di Ferrara : 66/67, 1/2, 2024 470
Laboratory Animal Technician TRAINING MANUAL WORKBOOK 2012 edtion 400
Progress and Regression 400
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 4835575
求助须知:如何正确求助?哪些是违规求助? 4139231
关于积分的说明 12812713
捐赠科研通 3883419
什么是DOI,文献DOI怎么找? 2135490
邀请新用户注册赠送积分活动 1155584
关于科研通互助平台的介绍 1054989