Editorial: Advances in Genomics of Crossbred Farm Animals.
作者信息
Wu Xiao-Lin, Zhao Shuhong
机构信息
Council on Dairy Cattle Breeding, Bowie, MD, United States.
Department of Animal and Dairy Sciences, University of Wisconsin, Madison, WI, United States.
出版信息
Front Genet. 2021 Aug 5;12:709483. doi: 10.3389/fgene.2021.709483. eCollection 2021.
Abstract
摘要
相似文献
1
Editorial: Advances in Genomics of Crossbred Farm Animals.社论：杂交农场动物基因组学的进展
Front Genet. 2021 Aug 5;12:709483. doi: 10.3389/fgene.2021.709483. eCollection 2021.
2
Implementing a genomic rotational crossbreeding scheme to promote local dairy cattle breeds-A simulation study.实施基因组轮式杂交方案以促进本地奶牛品种-模拟研究。
J Dairy Sci. 2021 Jun;104(6):6873-6884. doi: 10.3168/jds.2020-19927. Epub 2021 Mar 25.
3
Managing the transition from purebred to rotational crossbred dairy cattle herds: three technical pathways from a retrospective case-study analysis.管理从纯种奶牛群向轮回杂交奶牛群的转变：基于回顾性案例研究分析的三条技术途径
Animal. 2020 Jun;14(6):1293-1303. doi: 10.1017/S1751731119003458. Epub 2020 Jan 21.
4
A Review of Genomic Models for the Analysis of Livestock Crossbred Data.用于分析家畜杂交数据的基因组模型综述
Front Genet. 2020 Jun 26;11:568. doi: 10.3389/fgene.2020.00568. eCollection 2020.
5
Characterization of Autozygosity in Pigs in Three-Way Crossbreeding.三元杂交猪中纯合性的特征分析
Front Genet. 2021 Jan 28;11:584556. doi: 10.3389/fgene.2020.584556. eCollection 2020.
6
Assigning breed origin to alleles in crossbred animals.确定杂交动物等位基因的品种来源。
Genet Sel Evol. 2016 Aug 22;48(1):61. doi: 10.1186/s12711-016-0240-y.
7
Genomic clustering helps to improve prediction in a multibreed population.基因组聚类有助于提高多品种群体的预测能力。
J Anim Sci. 2016 May;94(5):1844-56. doi: 10.2527/jas.2016-0322.
8
The feasibility of using low-density marker panels for genotype imputation and genomic prediction of crossbred dairy cattle of East Africa.利用低密度标记面板对东非杂交奶牛进行基因型推断和基因组预测的可行性。
J Dairy Sci. 2018 Oct;101(10):9108-9127. doi: 10.3168/jds.2018-14621. Epub 2018 Aug 1.
9
Prediction of the reliability of genomic breeding values for crossbred performance.杂交性能基因组育种值可靠性的预测。
Genet Sel Evol. 2017 May 12;49(1):43. doi: 10.1186/s12711-017-0318-1.
10
Comparing genomic prediction accuracy from purebred, crossbred and combined purebred and crossbred reference populations in sheep.比较绵羊纯系、杂交系以及纯系与杂交系组合参考群体的基因组预测准确性。
Genet Sel Evol. 2014 Sep 30;46(1):58. doi: 10.1186/s12711-014-0058-4.
引用本文的文献
1
PAGER: A novel genotype encoding strategy for modeling deviations from additivity in complex trait association studies.PAGER：一种用于在复杂性状关联研究中对加性偏差进行建模的新型基因型编码策略。
BioData Min. 2024 Oct 11;17(1):41. doi: 10.1186/s13040-024-00393-x.
2
Enhancing portability of trans-ancestral polygenic risk scores through tissue-specific functional genomic data integration.通过组织特异性功能基因组数据整合提高跨祖先多基因风险评分的可移植性。
PLoS Genet. 2024 Aug 7;20(8):e1011356. doi: 10.1371/journal.pgen.1011356. eCollection 2024 Aug.
3
A Comprehensive Genomic Analysis of Chinese Indigenous Ningxiang Pigs: Genomic Breed Compositions, Runs of Homozygosity, and Beyond.中国宁乡猪的全基因组分析：基因组品种组成、纯合子区域分析及其他
Int J Mol Sci. 2023 Sep 26;24(19):14550. doi: 10.3390/ijms241914550.
4
Genome-wide local ancestry and evidence for mitonuclear coadaptation in African hybrid cattle populations.非洲杂交牛群体的全基因组局部祖先及线粒体-核基因共适应证据
iScience. 2022 Jun 26;25(7):104672. doi: 10.1016/j.isci.2022.104672. eCollection 2022 Jul 15.
本文引用的文献
1
A review of deep learning applications for genomic selection.深度学习在基因组选择中的应用综述。
BMC Genomics. 2021 Jan 6;22(1):19. doi: 10.1186/s12864-020-07319-x.
2
Estimation of Genomic Breed Composition for Purebred and Crossbred Animals Using Sparsely Regularized Admixture Models.使用稀疏正则化混合模型估计纯种和杂交动物的基因组品种组成
Front Genet. 2020 Jun 11;11:576. doi: 10.3389/fgene.2020.00576. eCollection 2020.
3
Estimation of genomic breed composition of individual animals in composite beef cattle.估算杂交肉牛个体的基因组品种组成。
Anim Genet. 2020 Jun;51(3):457-460. doi: 10.1111/age.12928. Epub 2020 Apr 2.
4
Genomic predictions for crossbred dairy cattle.杂交奶牛的基因组预测。
J Dairy Sci. 2020 Feb;103(2):1620-1631. doi: 10.3168/jds.2019-16634. Epub 2019 Dec 16.
5
A bivariate genomic model with additive, dominance and inbreeding depression effects for sire line and three-way crossbred pigs.具有加性、显性和近交衰退效应的 sire 系和三元杂交猪的双变量基因组模型。
Genet Sel Evol. 2019 Aug 19;51(1):45. doi: 10.1186/s12711-019-0486-2.
6
Genome to Phenome: Improving Animal Health, Production, and Well-Being - A New USDA Blueprint for Animal Genome Research 2018-2027.从基因组到表型组：改善动物健康、生产性能和福祉——美国农业部2018 - 2027年动物基因组研究新蓝图
Front Genet. 2019 May 16;10:327. doi: 10.3389/fgene.2019.00327. eCollection 2019.
7
Benefits and limitations of genome-wide association studies.全基因组关联研究的优势和局限性。
Nat Rev Genet. 2019 Aug;20(8):467-484. doi: 10.1038/s41576-019-0127-1.
8
Very low-depth whole-genome sequencing in complex trait association studies.复杂性状关联研究中的极低深度全基因组测序。
Bioinformatics. 2019 Aug 1;35(15):2555-2561. doi: 10.1093/bioinformatics/bty1032.
9
Sample Size for Successful Genome-Wide Association Study of Major Depressive Disorder.重度抑郁症全基因组关联研究成功所需的样本量
Front Genet. 2018 Jun 28;9:227. doi: 10.3389/fgene.2018.00227. eCollection 2018.
10
Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes.通过 2 型糖尿病编码变异精细映射来提高已验证靶点识别的准确性。
Nat Genet. 2018 Apr;50(4):559-571. doi: 10.1038/s41588-018-0084-1. Epub 2018 Apr 9.
Zotero 插件