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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

274 related articles for article (PubMed ID: 28723906)

  • 21. Assessment of the genomic prediction accuracy for feed efficiency traits in meat-type chickens.
    Liu T; Luo C; Wang J; Ma J; Shu D; Lund MS; Su G; Qu H
    PLoS One; 2017; 12(3):e0173620. PubMed ID: 28278209
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Prediction of genomic breeding values for growth, carcass and meat quality traits in a multi-breed sheep population using a HD SNP chip.
    Brito LF; Clarke SM; McEwan JC; Miller SP; Pickering NK; Bain WE; Dodds KG; Sargolzaei M; Schenkel FS
    BMC Genet; 2017 Jan; 18(1):7. PubMed ID: 28122512
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Accuracy of genomic predictions in Bos indicus (Nellore) cattle.
    Neves HH; Carvalheiro R; O'Brien AM; Utsunomiya YT; do Carmo AS; Schenkel FS; Sölkner J; McEwan JC; Van Tassell CP; Cole JB; da Silva MV; Queiroz SA; Sonstegard TS; Garcia JF
    Genet Sel Evol; 2014 Feb; 46(1):17. PubMed ID: 24575732
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Use of principal component approach to predict direct genomic breeding values for beef traits in Italian Simmental cattle.
    Gaspa G; Pintus MA; Nicolazzi EL; Vicario D; Valentini A; Dimauro C; Macciotta NP
    J Anim Sci; 2013 Jan; 91(1):29-37. PubMed ID: 23100576
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Accuracies of breeding values for dry matter intake using nongenotyped animals and predictor traits in different lactations.
    Manzanilla-Pech CIV; Veerkamp RF; de Haas Y; Calus MPL; Ten Napel J
    J Dairy Sci; 2017 Nov; 100(11):9103-9114. PubMed ID: 28865857
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Genomic selection for meat quality traits in Nelore cattle.
    Magalhães AFB; Schenkel FS; Garcia DA; Gordo DGM; Tonussi RL; Espigolan R; Silva RMO; Braz CU; Fernandes Júnior GA; Baldi F; Carvalheiro R; Boligon AA; de Oliveira HN; Chardulo LAL; de Albuquerque LG
    Meat Sci; 2019 Feb; 148():32-37. PubMed ID: 30296711
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Accuracy of pedigree and genomic predictions of carcass and novel meat quality traits in multi-breed sheep data assessed by cross-validation.
    Daetwyler HD; Swan AA; van der Werf JH; Hayes BJ
    Genet Sel Evol; 2012 Nov; 44(1):33. PubMed ID: 23146144
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Validation of the Prediction Accuracy for 13 Traits in Chinese Simmental Beef Cattle Using a Preselected Low-Density SNP Panel.
    Xu L; Niu Q; Chen Y; Wang Z; Xu L; Li H; Xu L; Gao X; Zhang L; Gao H; Cai W; Zhu B; Li J
    Animals (Basel); 2021 Jun; 11(7):. PubMed ID: 34202066
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Genome-Enabled Prediction of Breeding Values for Feedlot Average Daily Weight Gain in Nelore Cattle.
    Somavilla AL; Regitano LCA; Rosa GJM; Mokry FB; Mudadu MA; Tizioto PC; Oliveira PSN; Souza MM; Coutinho LL; Munari DP
    G3 (Bethesda); 2017 Jun; 7(6):1855-1859. PubMed ID: 28391242
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Comparison of Bayesian models to estimate direct genomic values in multi-breed commercial beef cattle.
    Rolf MM; Garrick DJ; Fountain T; Ramey HR; Weaber RL; Decker JE; Pollak EJ; Schnabel RD; Taylor JF
    Genet Sel Evol; 2015 Apr; 47(1):23. PubMed ID: 25884158
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Improving accuracy of genomic predictions within and between dairy cattle breeds with imputed high-density single nucleotide polymorphism panels.
    Erbe M; Hayes BJ; Matukumalli LK; Goswami S; Bowman PJ; Reich CM; Mason BA; Goddard ME
    J Dairy Sci; 2012 Jul; 95(7):4114-29. PubMed ID: 22720968
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Using markers with large effect in genetic and genomic predictions.
    Lopes MS; Bovenhuis H; van Son M; Nordbø Ø; Grindflek EH; Knol EF; Bastiaansen JW
    J Anim Sci; 2017 Jan; 95(1):59-71. PubMed ID: 28177367
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Accuracy of direct genomic breeding values for nationally evaluated traits in US Limousin and Simmental beef cattle.
    Saatchi M; Schnabel RD; Rolf MM; Taylor JF; Garrick DJ
    Genet Sel Evol; 2012 Dec; 44(1):38. PubMed ID: 23216608
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Accuracy of genomic breeding values in multibreed beef cattle populations derived from deregressed breeding values and phenotypes.
    Weber KL; Thallman RM; Keele JW; Snelling WM; Bennett GL; Smith TP; McDaneld TG; Allan MF; Van Eenennaam AL; Kuehn LA
    J Anim Sci; 2012 Dec; 90(12):4177-90. PubMed ID: 22767091
    [TBL] [Abstract][Full Text] [Related]  

  • 35. The Impact of Variable Degrees of Freedom and Scale Parameters in Bayesian Methods for Genomic Prediction in Chinese Simmental Beef Cattle.
    Zhu B; Zhu M; Jiang J; Niu H; Wang Y; Wu Y; Xu L; Chen Y; Zhang L; Gao X; Gao H; Liu J; Li J
    PLoS One; 2016; 11(5):e0154118. PubMed ID: 27139889
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Accuracy of predicting genomic breeding values for carcass merit traits in Angus and Charolais beef cattle.
    Chen L; Vinsky M; Li C
    Anim Genet; 2015 Feb; 46(1):55-9. PubMed ID: 25393962
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Genome-enabled prediction of meat and carcass traits using Bayesian regression, single-step genomic best linear unbiased prediction and blending methods in Nelore cattle.
    Lopes FB; Baldi F; Passafaro TL; Brunes LC; Costa MFO; Eifert EC; Narciso MG; Rosa GJM; Lobo RB; Magnabosco CU
    Animal; 2021 Jan; 15(1):100006. PubMed ID: 33516009
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Performances of Adaptive MultiBLUP, Bayesian regressions, and weighted-GBLUP approaches for genomic predictions in Belgian Blue beef cattle.
    Gualdrón Duarte JL; Gori AS; Hubin X; Lourenco D; Charlier C; Misztal I; Druet T
    BMC Genomics; 2020 Aug; 21(1):545. PubMed ID: 32762654
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Design of a low-density SNP chip for the main Australian sheep breeds and its effect on imputation and genomic prediction accuracy.
    Bolormaa S; Gore K; van der Werf JH; Hayes BJ; Daetwyler HD
    Anim Genet; 2015 Oct; 46(5):544-56. PubMed ID: 26360638
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Accuracies of genomic breeding values in American Angus beef cattle using K-means clustering for cross-validation.
    Saatchi M; McClure MC; McKay SD; Rolf MM; Kim J; Decker JE; Taxis TM; Chapple RH; Ramey HR; Northcutt SL; Bauck S; Woodward B; Dekkers JC; Fernando RL; Schnabel RD; Garrick DJ; Taylor JF
    Genet Sel Evol; 2011 Nov; 43(1):40. PubMed ID: 22122853
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 14.