BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

440 related articles for article (PubMed ID: 21642493)

  • 21. Evaluation of methods for computing approximate accuracies of predicted breeding values in maternal random regression models for growth traits in beef cattle.
    Sánchez JP; Misztal I; Bertrand JK
    J Anim Sci; 2008 May; 86(5):1057-66. PubMed ID: 18203980
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Preliminary investigation on reliability of genomic estimated breeding values in the Danish Holstein population.
    Su G; Guldbrandtsen B; Gregersen VR; Lund MS
    J Dairy Sci; 2010 Mar; 93(3):1175-83. PubMed ID: 20172238
    [TBL] [Abstract][Full Text] [Related]  

  • 23. 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]  

  • 24. 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]  

  • 25. Effect of predictor traits on accuracy of genomic breeding values for feed intake based on a limited cow reference population.
    Pszczola M; Veerkamp RF; de Haas Y; Wall E; Strabel T; Calus MP
    Animal; 2013 Nov; 7(11):1759-68. PubMed ID: 23915541
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Comparison of genomic and traditional BLUP-estimated breeding value accuracy and selection response under alternative trait and genomic parameters.
    Muir WM
    J Anim Breed Genet; 2007 Dec; 124(6):342-55. PubMed ID: 18076471
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Application of selection index calculations to determine selection strategies in genomic breeding programs.
    König S; Swalve HH
    J Dairy Sci; 2009 Oct; 92(10):5292-303. PubMed ID: 19762847
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Genome-wide association study of growth in crossbred beef cattle.
    Snelling WM; Allan MF; Keele JW; Kuehn LA; McDaneld T; Smith TP; Sonstegard TS; Thallman RM; Bennett GL
    J Anim Sci; 2010 Mar; 88(3):837-48. PubMed ID: 19966163
    [TBL] [Abstract][Full Text] [Related]  

  • 29. 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]  

  • 30. Genetic markers for lactation persistency in primiparous Australian dairy cows.
    Pryce JE; Haile-Mariam M; Verbyla K; Bowman PJ; Goddard ME; Hayes BJ
    J Dairy Sci; 2010 May; 93(5):2202-14. PubMed ID: 20412936
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Genomic prediction of breeding values using previously estimated SNP variances.
    Calus MP; Schrooten C; Veerkamp RF
    Genet Sel Evol; 2014 Sep; 46(1):52. PubMed ID: 25928875
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Whole genome single nucleotide polymorphism associations with feed intake and feed efficiency in beef cattle.
    Sherman EL; Nkrumah JD; Moore SS
    J Anim Sci; 2010 Jan; 88(1):16-22. PubMed ID: 19749024
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Comparison of methods for the implementation of genome-assisted evaluation of Spanish dairy cattle.
    Jiménez-Montero JA; González-Recio O; Alenda R
    J Dairy Sci; 2013 Jan; 96(1):625-34. PubMed ID: 23102955
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Phenotypic and genetic relationships among feeding behavior traits, feed intake, and residual feed intake in steers fed grower and finisher diets.
    Durunna ON; Wang Z; Basarab JA; Okine EK; Moore SS
    J Anim Sci; 2011 Nov; 89(11):3401-9. PubMed ID: 21642495
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Prediction of genetic values for feed intake from individual body weight gain and total feed intake of the pen.
    Cooper AJ; Ferrell CL; Cundiff LV; Van Vleck LD
    J Anim Sci; 2010 Jun; 88(6):1967-72. PubMed ID: 20190180
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Comparison between genomic predictions using daughter yield deviation and conventional estimated breeding value as response variables.
    Guo G; Lund MS; Zhang Y; Su G
    J Anim Breed Genet; 2010 Dec; 127(6):423-32. PubMed ID: 21077966
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Application of Bayesian least absolute shrinkage and selection operator (LASSO) and BayesCπ methods for genomic selection in French Holstein and Montbéliarde breeds.
    Colombani C; Legarra A; Fritz S; Guillaume F; Croiseau P; Ducrocq V; Robert-Granié C
    J Dairy Sci; 2013 Jan; 96(1):575-91. PubMed ID: 23127905
    [TBL] [Abstract][Full Text] [Related]  

  • 38. The value of cows in reference populations for genomic selection of new functional traits.
    Buch LH; Kargo M; Berg P; Lassen J; Sørensen AC
    Animal; 2012 Jun; 6(6):880-6. PubMed ID: 22558957
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Phenotypic and genetic parameters for different measures of feed efficiency in different breeds of Irish performance-tested beef bulls.
    Crowley JJ; McGee M; Kenny DA; Crews DH; Evans RD; Berry DP
    J Anim Sci; 2010 Mar; 88(3):885-94. PubMed ID: 19966161
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Genetic markers on BTA14 predictive for residual feed intake in beef steers and their effects on carcass and meat quality traits.
    Lindholm-Perry AK; Kuehn LA; Snelling WM; Smith TP; Ferrell CL; Jenkins TG; King DA; Shackelford SD; Wheeler TL; Freetly HC
    Anim Genet; 2012 Oct; 43(5):599-603. PubMed ID: 22497335
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 22.