• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

选择实现最优贡献选择和长期遗传贡献收敛时间尺度的优势。

Selective advantage of implementing optimal contributions selection and timescales for the convergence of long-term genetic contributions.

机构信息

The Roslin Institute and R(D)SVS, The University of Edinburgh, Edinburgh, UK.

Genus-PIC, Ratsteich 31, 24837, Schleswig, Germany.

出版信息

Genet Sel Evol. 2018 May 10;50(1):24. doi: 10.1186/s12711-018-0392-z.

DOI:10.1186/s12711-018-0392-z
PMID:29747576
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5946451/
Abstract

BACKGROUND

Optimal contributions selection (OCS) provides animal breeders with a framework for maximising genetic gain for a predefined rate of inbreeding. Simulation studies have indicated that the source of the selective advantage of OCS is derived from breeding decisions being more closely aligned with estimates of Mendelian sampling terms ([Formula: see text]) of selection candidates, rather than estimated breeding values (EBV). This study represents the first attempt to assess the source of the selective advantage provided by OCS using a commercial pig population and by testing three hypotheses: (1) OCS places more emphasis on [Formula: see text] compared to EBV for determining which animals were selected as parents, (2) OCS places more emphasis on [Formula: see text] compared to EBV for determining which of those parents were selected to make a long-term genetic contribution (r), and (3) OCS places more emphasis on [Formula: see text] compared to EBV for determining the magnitude of r. The population studied also provided an opportunity to investigate the convergence of r over time.

RESULTS

Selection intensity limited the number of males available for analysis, but females provided some evidence that the selective advantage derived from applying an OCS algorithm resulted from greater weighting being placed on [Formula: see text] during the process of decision-making. Male r were found to converge initially at a faster rate than female r, with approximately 90% convergence achieved within seven generations across both sexes.

CONCLUSIONS

This study of commercial data provides some support to results from theoretical and simulation studies that the source of selective advantage from OCS comes from [Formula: see text]. The implication that genomic selection (GS) improves estimation of [Formula: see text] should allow for even greater genetic gains for a predefined rate of inbreeding, once the synergistic benefits of combining OCS and GS are realised.

摘要

背景

最优贡献选择（OCS）为动物育种者提供了一个框架，可在预设的近交率下最大化遗传增益。模拟研究表明，OCS 的选择优势源自于育种决策与选择候选者的孟德尔抽样项 ([Formula: see text]) 的估计更为吻合，而不是估计的育种值（EBV）。本研究首次尝试使用商业猪群评估 OCS 提供的选择优势的来源，并通过检验三个假设来实现：(1)OCS 在确定哪些动物被选为亲本时，相对于 EBV，更强调 [Formula: see text]；(2)OCS 在确定那些父母中哪些被选中做出长期遗传贡献 (r) 时，相对于 EBV，更强调 [Formula: see text]；(3)OCS 在确定 r 的大小时，相对于 EBV，更强调 [Formula: see text]。所研究的群体还提供了一个机会来研究 r 随时间的收敛性。

结果

选择强度限制了可供分析的雄性数量，但雌性提供了一些证据表明，应用 OCS 算法的选择优势源于在决策过程中对 [Formula: see text] 的更大重视。雄性 r 最初的收敛速度比雌性 r 快，大约在七代内，两性的 r 都达到了 90%的收敛。

结论

本研究对商业数据的研究为理论和模拟研究的结果提供了一些支持，即 OCS 的选择优势源自 [Formula: see text]。基因组选择 (GS) 提高 [Formula: see text] 估计的含义应该允许在预设的近交率下实现更大的遗传增益，一旦实现了 OCS 和 GS 结合的协同效益。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b80/5946451/41dbfd30a164/12711_2018_392_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b80/5946451/48ecd0cffbda/12711_2018_392_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b80/5946451/9e25db701598/12711_2018_392_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b80/5946451/422f1322bc00/12711_2018_392_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b80/5946451/41dbfd30a164/12711_2018_392_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b80/5946451/48ecd0cffbda/12711_2018_392_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b80/5946451/9e25db701598/12711_2018_392_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b80/5946451/422f1322bc00/12711_2018_392_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b80/5946451/41dbfd30a164/12711_2018_392_Fig4_HTML.jpg

相似文献

1
Selective advantage of implementing optimal contributions selection and timescales for the convergence of long-term genetic contributions.选择实现最优贡献选择和长期遗传贡献收敛时间尺度的优势。
Genet Sel Evol. 2018 May 10;50(1):24. doi: 10.1186/s12711-018-0392-z.
2
Pre-selection against a lethal recessive allele in breeding schemes with optimum-contribution selection or truncation selection.最优贡献选择或截断选择的育种方案中对致死隐性等位基因的预选择。
Genet Sel Evol. 2021 Sep 22;53(1):75. doi: 10.1186/s12711-021-00669-4.
3
Persistency of Prediction Accuracy and Genetic Gain in Synthetic Populations Under Recurrent Genomic Selection.轮回基因组选择下合成群体中预测准确性和遗传增益的持续性
G3 (Bethesda). 2017 Mar 10;7(3):801-811. doi: 10.1534/g3.116.036582.
4
Genomic mating as sustainable breeding for Chinese indigenous Ningxiang pigs.基因组交配作为中国本土宁乡猪的可持续繁殖方式。
PLoS One. 2020 Aug 14;15(8):e0236629. doi: 10.1371/journal.pone.0236629. eCollection 2020.
5
Most of the long-term genetic gain from optimum-contribution selection can be realised with restrictions imposed during optimisation.最优贡献选择的大部分长期遗传增益可以通过优化过程中的限制来实现。
Genet Sel Evol. 2015 Mar 28;47(1):21. doi: 10.1186/s12711-015-0107-7.
6
Increased genetic gains in sheep, beef and dairy breeding programs from using female reproductive technologies combined with optimal contribution selection and genomic breeding values.通过结合使用雌性生殖技术、最优贡献选择和基因组育种值，绵羊、肉牛和奶牛育种计划中的遗传进展有所增加。
Genet Sel Evol. 2015 Sep 14;47(1):70. doi: 10.1186/s12711-015-0151-3.
7
Mendelian sampling terms as a selective advantage in optimum breeding schemes with restrictions on the rate of inbreeding.在对近亲繁殖率有限制的最优育种方案中，孟德尔抽样项作为一种选择优势。
Genet Res. 2004 Feb;83(1):55-64. doi: 10.1017/s0016672303006566.
8
Prediction of genetic gain from quadratic optimisation with constrained rates of inbreeding.基于近亲繁殖受限率的二次优化对遗传增益的预测。
Genet Sel Evol. 2006 Mar-Apr;38(2):127-46. doi: 10.1186/1297-9686-38-2-127. Epub 2006 Feb 23.
9
Accuracy of Genomic Prediction in Synthetic Populations Depending on the Number of Parents, Relatedness, and Ancestral Linkage Disequilibrium.取决于亲本数量、亲缘关系和祖先连锁不平衡的合成群体中基因组预测的准确性。
Genetics. 2017 Jan;205(1):441-454. doi: 10.1534/genetics.116.193243. Epub 2016 Nov 9.
10
Economic aspects of implementing genomic evaluations in a pig sire line breeding scheme.在猪种畜繁育计划中实施基因组评估的经济方面。
Genet Sel Evol. 2013 Oct 15;45(1):40. doi: 10.1186/1297-9686-45-40.

引用本文的文献

1
Genetic gain and inbreeding from simulation of different genomic mating schemes for pig improvement.通过模拟不同基因组交配方案对猪进行改良的遗传进展和近亲繁殖情况。
J Anim Sci Biotechnol. 2023 Jun 13;14(1):87. doi: 10.1186/s40104-023-00872-x.
2
Assessment of long-term trends in genetic mean and variance after the introduction of genomic selection in layers: a simulation study.蛋鸡引入基因组选择后遗传均值和方差的长期趋势评估：一项模拟研究
Front Genet. 2023 May 10;14:1168212. doi: 10.3389/fgene.2023.1168212. eCollection 2023.
3
AlphaPart-R implementation of the method for partitioning genetic trends.

本文引用的文献

1
A fast Newton-Raphson based iterative algorithm for large scale optimal contribution selection.一种基于快速牛顿-拉夫逊法的大规模最优贡献选择迭代算法。
Genet Sel Evol. 2016 Sep 20;48(1):70. doi: 10.1186/s12711-016-0249-2.
2
An algorithm for efficient constrained mate selection.一种高效的约束伴侣选择算法。
Genet Sel Evol. 2011 Jan 20;43(1):4. doi: 10.1186/1297-9686-43-4.
3
Optimisation of contribution of candidate parents to maximise genetic gain and restricting inbreeding using semidefinite programming.使用半定规划优化候选亲本的贡献以最大化遗传增益并限制近亲繁殖。
AlphaPart-R 实现的遗传趋势划分方法。
Genet Sel Evol. 2021 Mar 18;53(1):30. doi: 10.1186/s12711-021-00600-x.
4
Genetic parameters and selection response for the harvest body weight of the giant freshwater prawn (Macrobrachium rosenbergii) in a breeding program in China.在中国的一个养殖计划中，巨型淡水虾（罗氏沼虾）的收获体重的遗传参数和选择反应。
PLoS One. 2019 Aug 12;14(8):e0218379. doi: 10.1371/journal.pone.0218379. eCollection 2019.
Genet Sel Evol. 2007 Jan-Feb;39(1):3-25. doi: 10.1186/1297-9686-39-1-3. Epub 2007 Jan 11.
4
An algorithm to compute optimal genetic contributions in selection programs with large numbers of candidates.一种用于在具有大量候选个体的选择计划中计算最优遗传贡献的算法。
J Anim Sci. 2006 Dec;84(12):3212-8. doi: 10.2527/jas.2006-145.
5
Prediction of genetic gain from quadratic optimisation with constrained rates of inbreeding.基于近亲繁殖受限率的二次优化对遗传增益的预测。
Genet Sel Evol. 2006 Mar-Apr;38(2):127-46. doi: 10.1186/1297-9686-38-2-127. Epub 2006 Feb 23.
6
The advantage of factorial mating under selection is uncovered by deterministically predicted rates of inbreeding.在选择条件下因子交配的优势可通过确定性预测的近亲繁殖率揭示出来。
Genet Sel Evol. 2005 Jan-Feb;37(1):57-81. doi: 10.1186/1297-9686-37-1-57.
7
Mendelian sampling terms as a selective advantage in optimum breeding schemes with restrictions on the rate of inbreeding.在对近亲繁殖率有限制的最优育种方案中，孟德尔抽样项作为一种选择优势。
Genet Res. 2004 Feb;83(1):55-64. doi: 10.1017/s0016672303006566.
8
Expected increases in genetic merit from using optimized contributions in two livestock populations of beef cattle and sheep.在肉牛和绵羊的两个家畜群体中使用优化贡献预期的遗传价值提升。
J Anim Sci. 2003 Dec;81(12):2964-75. doi: 10.2527/2003.81122964x.
9
Expected genetic contributions and their impact on gene flow and genetic gain.预期的遗传贡献及其对基因流动和遗传增益的影响。
Genetics. 1999 Oct;153(2):1009-20. doi: 10.1093/genetics/153.2.1009.
10
Prediction of genetic contributions and generation intervals in populations with overlapping generations under selection.选择作用下重叠世代群体中遗传贡献和世代间隔的预测。
Genetics. 1999 Mar;151(3):1197-210. doi: 10.1093/genetics/151.3.1197.