These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
151 related articles for article (PubMed ID: 25099946)
1. Increasing imputation and prediction accuracy for Chinese Holsteins using joint Chinese-Nordic reference population. Ma P; Lund MS; Ding X; Zhang Q; Su G J Anim Breed Genet; 2014 Dec; 131(6):462-72. PubMed ID: 25099946 [TBL] [Abstract][Full Text] [Related]
2. Comparison of genomic predictions using medium-density (∼54,000) and high-density (∼777,000) single nucleotide polymorphism marker panels in Nordic Holstein and Red Dairy Cattle populations. Su G; Brøndum RF; Ma P; Guldbrandtsen B; Aamand GP; Lund MS J Dairy Sci; 2012 Aug; 95(8):4657-65. PubMed ID: 22818480 [TBL] [Abstract][Full Text] [Related]
3. Short communication: Improving the accuracy of genomic prediction of body conformation traits in Chinese Holsteins using markers derived from high-density marker panels. Song H; Li L; Ma P; Zhang S; Su G; Lund MS; Zhang Q; Ding X J Dairy Sci; 2018 Jun; 101(6):5250-5254. PubMed ID: 29550139 [TBL] [Abstract][Full Text] [Related]
4. Assets of imputation to ultra-high density for productive and functional traits. Jiménez-Montero JA; Gianola D; Weigel K; Alenda R; González-Recio O J Dairy Sci; 2013 Sep; 96(9):6047-58. PubMed ID: 23810591 [TBL] [Abstract][Full Text] [Related]
5. Comparison of different methods for imputing genome-wide marker genotypes in Swedish and Finnish Red Cattle. Ma P; Brøndum RF; Zhang Q; Lund MS; Su G J Dairy Sci; 2013 Jul; 96(7):4666-77. PubMed ID: 23684022 [TBL] [Abstract][Full Text] [Related]
6. Value of sharing cow reference population between countries on reliability of genomic prediction for milk yield traits. Haile-Mariam M; MacLeod IM; Bolormaa S; Schrooten C; O'Connor E; de Jong G; Daetwyler HD; Pryce JE J Dairy Sci; 2020 Feb; 103(2):1711-1728. PubMed ID: 31864746 [TBL] [Abstract][Full Text] [Related]
7. Effect of imputing markers from a low-density chip on the reliability of genomic breeding values in Holstein populations. Dassonneville R; Brøndum RF; Druet T; Fritz S; Guillaume F; Guldbrandtsen B; Lund MS; Ducrocq V; Su G J Dairy Sci; 2011 Jul; 94(7):3679-86. PubMed ID: 21700057 [TBL] [Abstract][Full Text] [Related]
8. Consistency of linkage disequilibrium between Chinese and Nordic Holsteins and genomic prediction for Chinese Holsteins using a joint reference population. Zhou L; Ding X; Zhang Q; Wang Y; Lund MS; Su G Genet Sel Evol; 2013 Mar; 45(1):7. PubMed ID: 23516992 [TBL] [Abstract][Full Text] [Related]
9. Genomic imputation and evaluation using high-density Holstein genotypes. VanRaden PM; Null DJ; Sargolzaei M; Wiggans GR; Tooker ME; Cole JB; Sonstegard TS; Connor EE; Winters M; van Kaam JB; Valentini A; Van Doormaal BJ; Faust MA; Doak GA J Dairy Sci; 2013 Jan; 96(1):668-78. PubMed ID: 23063157 [TBL] [Abstract][Full Text] [Related]
10. Genomic predictions based on a joint reference population for the Nordic Red cattle breeds. Zhou L; Heringstad B; Su G; Guldbrandtsen B; Meuwissen TH; Svendsen M; Grove H; Nielsen US; Lund MS J Dairy Sci; 2014 Jul; 97(7):4485-96. PubMed ID: 24792791 [TBL] [Abstract][Full Text] [Related]
11. Accuracy of genomic prediction for milk production traits in the Chinese Holstein population using a reference population consisting of cows. Ding X; Zhang Z; Li X; Wang S; Wu X; Sun D; Yu Y; Liu J; Wang Y; Zhang Y; Zhang S; Zhang Y; Zhang Q J Dairy Sci; 2013 Aug; 96(8):5315-23. PubMed ID: 23746588 [TBL] [Abstract][Full Text] [Related]
12. Genomic predictions across Nordic Holstein and Nordic Red using the genomic best linear unbiased prediction model with different genomic relationship matrices. Zhou L; Lund MS; Wang Y; Su G J Anim Breed Genet; 2014 Aug; 131(4):249-57. PubMed ID: 24750283 [TBL] [Abstract][Full Text] [Related]
14. Genomic relationships based on X chromosome markers and accuracy of genomic predictions with and without X chromosome markers. Su G; Guldbrandtsen B; Aamand GP; Strandén I; Lund MS Genet Sel Evol; 2014 Jul; 46(1):47. PubMed ID: 25080199 [TBL] [Abstract][Full Text] [Related]
15. Marker selection and genomic prediction of economically important traits using imputed high-density genotypes for 5 breeds of dairy cattle. Al-Khudhair A; VanRaden PM; Null DJ; Li B J Dairy Sci; 2021 Apr; 104(4):4478-4485. PubMed ID: 33612229 [TBL] [Abstract][Full Text] [Related]
16. Short communication: Single-step genomic evaluation of milk production traits using multiple-trait random regression model in Chinese Holsteins. Kang H; Ning C; Zhou L; Zhang S; Yan Q; Liu JF J Dairy Sci; 2018 Dec; 101(12):11143-11149. PubMed ID: 30268613 [TBL] [Abstract][Full Text] [Related]
17. Effect of reference population size and available ancestor genotypes on imputation of Mexican Holstein genotypes. García-Ruiz A; Ruiz-Lopez FJ; Wiggans GR; Van Tassell CP; Montaldo HH J Dairy Sci; 2015 May; 98(5):3478-84. PubMed ID: 25771055 [TBL] [Abstract][Full Text] [Related]
18. A simple method for genomic selection of moderately sized dairy cattle populations. Weller JI; Ron M; Glick G; Shirak A; Zeron Y; Ezra E Animal; 2012 Feb; 6(2):193-202. PubMed ID: 22436176 [TBL] [Abstract][Full Text] [Related]
19. Short communication: Improving accuracy of predicting breeding values in Brazilian Holstein population by adding data from Nordic and French Holstein populations. Li X; Lund MS; Zhang Q; Costa CN; Ducrocq V; Su G J Dairy Sci; 2016 Jun; 99(6):4574-4579. PubMed ID: 27040784 [TBL] [Abstract][Full Text] [Related]
20. Including overseas performance information in genomic evaluations of Australian dairy cattle. Haile-Mariam M; Pryce JE; Schrooten C; Hayes BJ J Dairy Sci; 2015 May; 98(5):3443-59. PubMed ID: 25771052 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]