BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

118 related articles for article (PubMed ID: 38395400)

  • 21. Genetic parameters of milk production traits in response to a short once-daily milking period in crossbred Holstein × Normande dairy cows.
    Charton C; Guinard-Flament J; Lefebvre R; Barbey S; Gallard Y; Boichard D; Larroque H
    J Dairy Sci; 2018 Mar; 101(3):2235-2247. PubMed ID: 29290438
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Milk yield and milking station visits of primiparous versus multiparous cows on automatic milking system farms in the Upper Midwest United States.
    Siewert JM; Salfer JA; Endres MI
    J Dairy Sci; 2019 Apr; 102(4):3523-3530. PubMed ID: 30692000
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Heritability and genetic correlations of rumination time with milk-yield and milking traits in Holstein-Friesian cows using an automated milking system.
    Sitkowska B; Yüksel HM; Piwczyński D; Önder H
    Animal; 2024 Mar; 18(3):101101. PubMed ID: 38417215
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Optimizing genomic prediction for Australian Red dairy cattle.
    van den Berg I; MacLeod IM; Reich CM; Breen EJ; Pryce JE
    J Dairy Sci; 2020 Jul; 103(7):6276-6298. PubMed ID: 32331891
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Are farmer assessed temperament, milking speed, and leakage genetically the same traits in automatic milking systems and traditional milking systems?
    Wethal KB; Svendsen M; Heringstad B
    J Dairy Sci; 2020 Apr; 103(4):3325-3333. PubMed ID: 32089305
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Invited review: The impact of automatic milking systems on dairy cow management, behavior, health, and welfare.
    Jacobs JA; Siegford JM
    J Dairy Sci; 2012 May; 95(5):2227-47. PubMed ID: 22541453
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Using genomics to enhance selection of novel traits in North American dairy cattle.
    Chesnais JP; Cooper TA; Wiggans GR; Sargolzaei M; Pryce JE; Miglior F
    J Dairy Sci; 2016 Mar; 99(3):2413-2427. PubMed ID: 26778318
    [TBL] [Abstract][Full Text] [Related]  

  • 28. 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]  

  • 29. Herd and animal factors affect the variability of total and differential somatic cell count in bovine milk.
    Stocco G; Cipolat-Gotet C; Stefanon B; Zecconi A; Francescutti M; Mountricha M; Summer A
    J Anim Sci; 2023 Jan; 101():. PubMed ID: 36516415
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Improving the accuracy of genomic prediction in Chinese Holstein cattle by using one-step blending.
    Li X; Wang S; Huang J; Li L; Zhang Q; Ding X
    Genet Sel Evol; 2014 Oct; 46(1):66. PubMed ID: 25315995
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Using machine learning to realize genetic site screening and genomic prediction of productive traits in pigs.
    Xiang T; Li T; Li J; Li X; Wang J
    FASEB J; 2023 Jun; 37(6):e22961. PubMed ID: 37178007
    [TBL] [Abstract][Full Text] [Related]  

  • 32. 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]  

  • 33. Improving the accuracy of genomic evaluation for linear body measurement traits using single-step genomic best linear unbiased prediction in Hanwoo beef cattle.
    Naserkheil M; Lee DH; Mehrban H
    BMC Genet; 2020 Dec; 21(1):144. PubMed ID: 33267771
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Application of linear and machine learning models to genomic prediction of fatty acid composition in Japanese Black cattle.
    Nishio M; Inoue K; Arakawa A; Ichinoseki K; Kobayashi E; Okamura T; Fukuzawa Y; Ogawa S; Taniguchi M; Oe M; Takeda M; Kamata T; Konno M; Takagi M; Sekiya M; Matsuzawa T; Inoue Y; Watanabe A; Kobayashi H; Shibata E; Ohtani A; Yazaki R; Nakashima R; Ishii K
    Anim Sci J; 2023; 94(1):e13883. PubMed ID: 37909231
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Risk prediction model of clinical mastitis in lactating dairy cows based on machine learning algorithms.
    Luo W; Dong Q; Feng Y
    Prev Vet Med; 2023 Dec; 221():106059. PubMed ID: 37951013
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Genetic parameters for handling and milking temperament in Danish first-parity Holstein cows.
    Stephansen RS; Fogh A; Norberg E
    J Dairy Sci; 2018 Dec; 101(12):11033-11039. PubMed ID: 30243640
    [TBL] [Abstract][Full Text] [Related]  

  • 37. A systems comparison of once- versus twice-daily milking of pastured dairy cows.
    Clark DA; Phyn CV; Tong MJ; Collis SJ; Dalley DE
    J Dairy Sci; 2006 May; 89(5):1854-62. PubMed ID: 16606757
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Genomic breeding values, SNP effects and gene identification for disease traits in cow training sets.
    Naderi S; Bohlouli M; Yin T; König S
    Anim Genet; 2018 Jun; 49(3):178-192. PubMed ID: 29624705
    [TBL] [Abstract][Full Text] [Related]  

  • 39. The effect of concentrate allocation on traffic and milk production of pasture-based cows milked by an automatic milking system.
    Lessire F; Froidmont E; Shortall J; Hornick JL; Dufrasne I
    Animal; 2017 Nov; 11(11):2061-2069. PubMed ID: 28376936
    [TBL] [Abstract][Full Text] [Related]  

  • 40. 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]  

    [Previous]   [Next]    [New Search]
    of 6.