• 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

基于性能记录和基因分型在多层次绵羊育种计划的较低层级中进行选择的遗传和经济效益。

Genetic and economic benefits of selection based on performance recording and genotyping in lower tiers of multi-tiered sheep breeding schemes.

作者信息

Santos Bruno F S, van der Werf Julius H J, Gibson John P, Byrne Timothy J, Amer Peter R

机构信息

AbacusBio Limited, PO Box 5585, Dunedin, 9058, New Zealand.

School of Environmental and Rural Science, University of New England, Armidale, NSW, Australia.

出版信息

Genet Sel Evol. 2017 Jan 17;49(1):10. doi: 10.1186/s12711-016-0281-2.

DOI:10.1186/s12711-016-0281-2
PMID:28095776
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5240451/
Abstract

BACKGROUND

Performance recording and genotyping in the multiplier tier of multi-tiered sheep breeding schemes could potentially reduce the difference in the average genetic merit between nucleus and commercial flocks, and create additional economic benefits for the breeding structure.

METHODS

The genetic change in a multiple-trait breeding objective was predicted for various selection strategies that included performance recording, parentage testing and genomic selection. A deterministic simulation model was used to predict selection differentials and the flow of genetic superiority through the different tiers. Cumulative discounted economic benefits were calculated based on trait gains achieved in each of the tiers and considering the extra revenue and associated costs of applying recording, genotyping and selection practices in the multiplier tier of the breeding scheme.

RESULTS

Performance recording combined with genomic or parentage information in the multiplier tier reduced the genetic lag between the nucleus and commercial flock by 2 to 3 years. The overall economic benefits of improved performance in the commercial tier offset the costs of recording the multiplier. However, it took more than 18 years before the cumulative net present value of benefits offset the costs at current test prices. Strategies in which recorded multiplier ewes were selected as replacements for the nucleus flock did modestly increase profitability when compared to a closed nucleus structure. Applying genomic selection is the most beneficial strategy if testing costs can be reduced or by genotyping only a proportion of the selection candidates. When the cost of genotyping was reduced, scenarios that combine performance recording with genomic selection were more profitable and reached breakeven point about 10 years earlier.

CONCLUSIONS

Economic benefits can be generated in multiplier flocks by implementing performance recording in conjunction with either DNA pedigree recording or genomic technology. These recording practices reduce the long genetic lag between the nucleus and commercial flocks in multi-tiered breeding programs. Under current genotyping costs, the time to breakeven was found to be generally very long, although this varied between strategies. Strategies using either genomic selection or DNA pedigree verification were found to be economically viable provided the price paid for the tests is lower than current prices, in the long-term.

摘要

背景

在多层绵羊育种计划的扩繁层进行性能记录和基因分型,有可能缩小核心群和商业羊群之间平均遗传价值的差异,并为育种结构创造额外的经济效益。

方法

针对包括性能记录、亲子鉴定和基因组选择在内的各种选择策略,预测了多性状育种目标中的遗传变化。使用确定性模拟模型来预测选择差异以及遗传优势在不同层级间的传递。基于各层级所取得的性状增益,并考虑在育种计划的扩繁层应用记录、基因分型和选择方法所带来的额外收入和相关成本,计算累积贴现经济效益。

结果

在扩繁层将性能记录与基因组或亲子信息相结合,可使核心群和商业羊群之间的遗传滞后缩短2至3年。商业层性能提升带来的总体经济效益抵消了扩繁群记录的成本。然而,按当前检测价格计算,累计净现值的收益需要超过18年才能抵消成本。与封闭核心群结构相比,选择有记录的扩繁母羊作为核心群的替代方案,适度提高了盈利能力。如果能够降低检测成本或仅对一部分选择候选羊进行基因分型,应用基因组选择是最有益的策略。当基因分型成本降低时,将性能记录与基因组选择相结合的方案更具盈利性,且盈亏平衡点提前约10年达到。

结论

通过将性能记录与DNA系谱记录或基因组技术相结合,可在扩繁群中产生经济效益。这些记录方法减少了多层育种计划中核心群和商业羊群之间长期存在的遗传滞后。在当前基因分型成本下,盈亏平衡时间通常很长,尽管不同策略之间存在差异。从长远来看,如果检测支付的价格低于当前价格,使用基因组选择或DNA系谱验证的策略在经济上是可行的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b65/5240451/e3a8f0271ded/12711_2016_281_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b65/5240451/41a4a97c7d0f/12711_2016_281_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b65/5240451/3f74c167a820/12711_2016_281_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b65/5240451/e3a8f0271ded/12711_2016_281_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b65/5240451/41a4a97c7d0f/12711_2016_281_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b65/5240451/3f74c167a820/12711_2016_281_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b65/5240451/e3a8f0271ded/12711_2016_281_Fig3_HTML.jpg

相似文献

1
Genetic and economic benefits of selection based on performance recording and genotyping in lower tiers of multi-tiered sheep breeding schemes.基于性能记录和基因分型在多层次绵羊育种计划的较低层级中进行选择的遗传和经济效益。
Genet Sel Evol. 2017 Jan 17;49(1):10. doi: 10.1186/s12711-016-0281-2.
2
Assessment of the genetic and economic impact of performance recording and genotyping in Australian commercial sheep operations.澳大利亚商业养羊业中性能记录和基因分型的遗传及经济影响评估。
J Anim Breed Genet. 2018 Jun;135(3):221-237. doi: 10.1111/jbg.12328.
3
Economic evaluation of genomic selection in small ruminants: a sheep meat breeding program.经济评估基因组选择在小反刍动物中的应用:一个绵羊肉育种计划。
Animal. 2016 Jun;10(6):1033-41. doi: 10.1017/S1751731115002049. Epub 2015 Oct 8.
4
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.
5
Cost-benefit analysis of aquaculture breeding programs.水产养殖繁育计划的成本效益分析。
Genet Sel Evol. 2018 Jan 29;50(1):2. doi: 10.1186/s12711-018-0372-3.
6
Feasibility of pedigree recording and genetic selection in village sheep flocks of smallholder farmers.小农户村庄羊群中系谱记录和遗传选择的可行性
Trop Anim Health Prod. 2014 Jun;46(5):809-14. doi: 10.1007/s11250-014-0569-6. Epub 2014 Mar 21.
7
Economic evaluation of progeny-testing and genomic selection schemes for small-sized nucleus dairy cattle breeding programs in developing countries.发展中国家小型核心奶牛育种计划中后裔测定和基因组选择方案的经济评估。
J Dairy Sci. 2017 Mar;100(3):2258-2268. doi: 10.3168/jds.2016-11816. Epub 2017 Jan 18.
8
Optimization of alternative breeding schemes for the genetic improvement of common Tigray highland sheep in northern Ethiopia.优化替代繁殖方案,以提高埃塞俄比亚北部提格雷高地常见绵羊的遗传改良。
Genet Sel Evol. 2022 Sep 16;54(1):63. doi: 10.1186/s12711-022-00755-1.
9
Potential benefits of genomic selection on genetic gain of small ruminant breeding programs.基因组选择对小反刍动物育种计划遗传增益的潜在益处。
J Anim Sci. 2013 Aug;91(8):3644-57. doi: 10.2527/jas.2012-6205. Epub 2013 Jun 4.
10
Genetic and economic analyses of female replacement rates in the dam-daughter pathway of a hierarchical swine breeding structure.分层式猪育种结构中母系-子代路径下雌性留种率的遗传与经济分析。
J Anim Sci. 1992 Jul;70(7):2053-64. doi: 10.2527/1992.7072053x.

引用本文的文献

1
Field demonstration analyzing the implementation of individual animal electronic identification and genetic testing in western range sheep flocks.现场演示分析个体动物电子标识和遗传检测在西部牧场绵羊群中的实施情况。
PLoS One. 2023 Aug 23;18(8):e0290281. doi: 10.1371/journal.pone.0290281. eCollection 2023.
2
Prediction of reproductive performance of ewes based on the early production data, ewe birth rank, dam age, and dam birth rank.基于早期生产数据、母羊出生顺序、母羊年龄及母羊出生顺序对母羊繁殖性能进行预测。
Arch Anim Breed. 2023 Mar 30;66(1):145-151. doi: 10.5194/aab-66-145-2023. eCollection 2023.
3
Going to scale-From community-based to population-wide genetic improvement and commercialized sheep meat supply in Ethiopia.

本文引用的文献

1
Pedigree and genomic evaluation of pigs using a terminal-cross model.使用终端杂交模型对猪进行系谱和基因组评估。
Genet Sel Evol. 2016 Apr 7;48:32. doi: 10.1186/s12711-016-0211-3.
2
Construction of relatedness matrices using genotyping-by-sequencing data.使用简化基因组测序数据构建亲缘关系矩阵。
BMC Genomics. 2015 Dec 9;16:1047. doi: 10.1186/s12864-015-2252-3.
3
Genomic prediction of breeding values in the New Zealand sheep industry using a 50K SNP chip.利用50K SNP芯片对新西兰养羊业的育种值进行基因组预测。
扩大规模——从埃塞俄比亚基于社区的遗传改良到全国范围的遗传改良及商业化羊肉供应
Front Genet. 2023 Mar 17;14:1114381. doi: 10.3389/fgene.2023.1114381. eCollection 2023.
4
Validation of maternal and terminal sheep breeding objectives using Irish field data.利用爱尔兰实地数据验证母羊和育肥羊的育种目标
Transl Anim Sci. 2022 Jul 23;6(3):txac099. doi: 10.1093/tas/txac099. eCollection 2022 Jul.
5
Automated Processing and Phenotype Extraction of Ovine Medical Images Using a Combined Generative Adversarial Network and Computer Vision Pipeline.使用生成对抗网络和计算机视觉管道对绵羊医学图像进行自动化处理和表型提取。
Sensors (Basel). 2021 Oct 31;21(21):7268. doi: 10.3390/s21217268.
6
Genetic and economic benefits of foreign sire contributions to a domestic sheep industry; including an Ireland-New Zealand case study.国外种公羊对国内养羊业的遗传和经济效益;包括爱尔兰-新西兰案例研究。
Genet Sel Evol. 2021 Jan 6;53(1):5. doi: 10.1186/s12711-020-00594-y.
7
Genetic benefits of genomic selection breeding programmes considering foreign sire contributions.考虑到外国种公畜的贡献,基因组选择育种计划的遗传效益。
Genet Sel Evol. 2019 Jul 16;51(1):40. doi: 10.1186/s12711-019-0483-5.
8
Comparison of economic returns among genetic evaluation strategies in a 2-tiered Charolais-sired beef cattle production system.两阶段夏洛莱肉牛生产体系中遗传评估策略的经济效益比较。
J Anim Sci. 2018 Sep 29;96(10):4076-4086. doi: 10.1093/jas/sky286.
9
Using a very low-density SNP panel for genomic selection in a breeding program for sheep.在绵羊育种计划中使用极低密度单核苷酸多态性(SNP)面板进行基因组选择。
Genet Sel Evol. 2017 Oct 24;49(1):76. doi: 10.1186/s12711-017-0351-0.
J Anim Sci. 2014 Oct;92(10):4375-89. doi: 10.2527/jas.2014-7801. Epub 2014 Aug 22.
4
Genetics and genomics of reproductive performance in dairy and beef cattle.奶牛和肉牛繁殖性能的遗传学与基因组学
Animal. 2014 May;8 Suppl 1:105-21. doi: 10.1017/S1751731114000743. Epub 2014 Apr 4.
5
Selection in dual-purpose cattle populations: effect of beef crossing and cow replacement rates.兼用型牛群的选择:肉牛杂交和母牛替换率的影响。
Ann Genet Sel Anim. 1974;6(2):227-39. doi: 10.1186/1297-9686-6-2-227.
6
A preference-based approach to deriving breeding objectives: applied to sheep breeding.基于偏好的选种目标制定方法:在绵羊育种中的应用。
Animal. 2012 May;6(5):778-88. doi: 10.1017/S1751731111002060.
7
Accuracy of genotype imputation in sheep breeds.绵羊品种基因型推断的准确性。
Anim Genet. 2012 Feb;43(1):72-80. doi: 10.1111/j.1365-2052.2011.02208.x. Epub 2011 May 27.
8
Prediction of response to marker-assisted and genomic selection using selection index theory.利用选择指数理论预测对标记辅助选择和基因组选择的反应。
J Anim Breed Genet. 2007 Dec;124(6):331-41. doi: 10.1111/j.1439-0388.2007.00701.x.
9
Strategy for applying genome-wide selection in dairy cattle.奶牛全基因组选择的应用策略。
J Anim Breed Genet. 2006 Aug;123(4):218-23. doi: 10.1111/j.1439-0388.2006.00595.x.
10
Prediction of total genetic value using genome-wide dense marker maps.利用全基因组密集标记图谱预测总遗传值。
Genetics. 2001 Apr;157(4):1819-29. doi: 10.1093/genetics/157.4.1819.