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Items: 1 to 20 of 102

1.

Multivariate genomic predictions for age at puberty in tropically adapted beef heifers.

Engle BN, Corbet NJ, Allen JM, Laing AR, Fordyce G, McGowan MR, Burns BM, Lyons RE, Hayes BJ.

J Anim Sci. 2019 Jan 1;97(1):90-100. doi: 10.1093/jas/sky428.

2.

RAPID COMMUNICATION: Multi-breed validation study unraveled genomic regions associated with puberty traits segregating across tropically adapted breeds1.

Melo TP, Fortes MRS, Fernandes Junior GA, Albuquerque LG, Carvalheiro R.

J Anim Sci. 2019 Jul 2;97(7):3027-3033. doi: 10.1093/jas/skz121.

PMID:
30997484
3.

Towards multi-breed genomic evaluations for female fertility of tropical beef cattle.

Hayes BJ, Corbet NJ, Allen JM, Laing AR, Fordyce G, Lyons R, McGowan MR, Burns BM.

J Anim Sci. 2019 Jan 1;97(1):55-62. doi: 10.1093/jas/sky417.

4.

Accuracy of genomic selection for age at puberty in a multi-breed population of tropically adapted beef cattle.

Farah MM, Swan AA, Fortes MR, Fonseca R, Moore SS, Kelly MJ.

Anim Genet. 2016 Feb;47(1):3-11. doi: 10.1111/age.12362. Epub 2015 Oct 22.

PMID:
26490440
5.

Physiology and Endocrinology Symposium: How single nucleotide polymorphism chips will advance our knowledge of factors controlling puberty and aid in selecting replacement beef females.

Snelling WM, Cushman RA, Fortes MR, Reverter A, Bennett GL, Keele JW, Kuehn LA, McDaneld TG, Thallman RM, Thomas MG.

J Anim Sci. 2012 Apr;90(4):1152-65. doi: 10.2527/jas.2011-4581. Epub 2011 Oct 28.

PMID:
22038989
6.

Genome-wide association studies of female reproduction in tropically adapted beef cattle.

Hawken RJ, Zhang YD, Fortes MR, Collis E, Barris WC, Corbet NJ, Williams PJ, Fordyce G, Holroyd RG, Walkley JR, Barendse W, Johnston DJ, Prayaga KC, Tier B, Reverter A, Lehnert SA.

J Anim Sci. 2012 May;90(5):1398-410. doi: 10.2527/jas.2011-4410. Epub 2011 Nov 18.

PMID:
22100599
7.

Accuracies of genomically estimated breeding values from pure-breed and across-breed predictions in Australian beef cattle.

Boerner V, Johnston DJ, Tier B.

Genet Sel Evol. 2014 Oct 24;46:61. doi: 10.1186/s12711-014-0061-9.

8.

Estimation of genomic breeding values for residual feed intake in a multibreed cattle population.

Khansefid M, Pryce JE, Bolormaa S, Miller SP, Wang Z, Li C, Goddard ME.

J Anim Sci. 2014 Aug;92(8):3270-83. doi: 10.2527/jas.2014-7375.

PMID:
25074450
9.

A single nucleotide polymorphism-derived regulatory gene network underlying puberty in 2 tropical breeds of beef cattle.

Fortes MR, Reverter A, Nagaraj SH, Zhang Y, Jonsson NN, Barris W, Lehnert S, Boe-Hansen GB, Hawken RJ.

J Anim Sci. 2011 Jun;89(6):1669-83. doi: 10.2527/jas.2010-3681. Epub 2011 Feb 25.

PMID:
21357453
10.

Genomic prediction of continuous and binary fertility traits of females in a composite beef cattle breed.

Toghiani S, Hay E, Sumreddee P, Geary TW, Rekaya R, Roberts AJ.

J Anim Sci. 2017 Nov;95(11):4787-4795. doi: 10.2527/jas2017.1944.

11.

Joint Alpharma-Beef Species Symposium: interactions of feed efficiency with beef heifer reproductive development.

Randel RD, Welsh TH Jr.

J Anim Sci. 2013 Mar;91(3):1323-8. doi: 10.2527/jas.2012-5679. Epub 2012 Oct 9. Review.

PMID:
23048157
12.

Multitrait meta-analysis identified genomic regions associated with sexual precocity in tropical beef cattle.

Melo TP, Fortes MRS, Bresolin T, Mota LFM, Albuquerque LG, Carvalheiro R.

J Anim Sci. 2018 Sep 29;96(10):4087-4099. doi: 10.1093/jas/sky289.

13.

Genomic prediction ability for beef fatty acid profile in Nelore cattle using different pseudo-phenotypes.

Chiaia HLJ, Peripolli E, de Oliveira Silva RM, Feitosa FLB, de Lemos MVA, Berton MP, Olivieri BF, Espigolan R, Tonussi RL, Gordo DGM, de Albuquerque LG, de Oliveira HN, Ferrinho AM, Mueller LF, Kluska S, Tonhati H, Pereira ASC, Aguilar I, Baldi F.

J Appl Genet. 2018 Nov;59(4):493-501. doi: 10.1007/s13353-018-0470-5. Epub 2018 Sep 24.

PMID:
30251238
14.

Accuracy of predicting genomic breeding values for residual feed intake in Angus and Charolais beef cattle.

Chen L, Schenkel F, Vinsky M, Crews DH Jr, Li C.

J Anim Sci. 2013 Oct;91(10):4669-78. doi: 10.2527/jas.2013-5715.

PMID:
24078618
15.

Genomic predictions for economically important traits in Brazilian Braford and Hereford beef cattle using true and imputed genotypes.

Piccoli ML, Brito LF, Braccini J, Cardoso FF, Sargolzaei M, Schenkel FS.

BMC Genet. 2017 Jan 18;18(1):2. doi: 10.1186/s12863-017-0475-9.

16.

Accuracy of genomic predictions for feed efficiency traits of beef cattle using 50K and imputed HD genotypes.

Lu D, Akanno EC, Crowley JJ, Schenkel F, Li H, De Pauw M, Moore SS, Wang Z, Li C, Stothard P, Plastow G, Miller SP, Basarab JA.

J Anim Sci. 2016 Apr;94(4):1342-53. doi: 10.2527/jas.2015-0126.

PMID:
27135994
17.

Prediction of genomic breeding values for reproductive traits in Nellore heifers.

Costa RB, Irano N, Diaz IDPS, Takada L, Hermisdorff IDC, Carvalheiro R, Baldi F, de Oliveira HN, Tonhati H, de Albuquerque LG.

Theriogenology. 2019 Feb;125:12-17. doi: 10.1016/j.theriogenology.2018.10.014. Epub 2018 Oct 17.

PMID:
30368127
18.

Genomic prediction of dry matter intake in dairy cattle from an international data set consisting of research herds in Europe, North America, and Australasia.

de Haas Y, Pryce JE, Calus MP, Wall E, Berry DP, Løvendahl P, Krattenmacher N, Miglior F, Weigel K, Spurlock D, Macdonald KA, Hulsegge B, Veerkamp RF.

J Dairy Sci. 2015 Sep;98(9):6522-34. doi: 10.3168/jds.2014-9257. Epub 2015 Jul 15.

19.

Possibilities to improve the genetic evaluation of a rare breed using limited genomic information and multivariate BLUP.

Pollott GE, Charlesworth A, Wathes DC.

Animal. 2014 May;8(5):685-94. doi: 10.1017/S1751731114000330.

20.

Comparison of genomic predictions for lowly heritable traits using multi-step and single-step genomic best linear unbiased predictor in Holstein cattle.

Guarini AR, Lourenco DAL, Brito LF, Sargolzaei M, Baes CF, Miglior F, Misztal I, Schenkel FS.

J Dairy Sci. 2018 Sep;101(9):8076-8086. doi: 10.3168/jds.2017-14193. Epub 2018 Jun 21.

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