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 *

137 related articles for article (PubMed ID: 35562648)

  • 1. Quality of breeding value predictions from longitudinal analyses, with application to residual feed intake in pigs.
    David I; Ricard A; Huynh-Tran VH; Dekkers JCM; Gilbert H
    Genet Sel Evol; 2022 May; 54(1):32. PubMed ID: 35562648
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Genomic dissection and prediction of feed intake and residual feed intake traits using a longitudinal model in F2 chickens.
    Emamgholi Begli H; Vaez Torshizi R; Masoudi AA; Ehsani A; Jensen J
    Animal; 2018 Sep; 12(9):1792-1798. PubMed ID: 29268803
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Genomic prediction of residual feed intake in US Holstein dairy cattle.
    Li B; VanRaden PM; Guduk E; O'Connell JR; Null DJ; Connor EE; VandeHaar MJ; Tempelman RJ; Weigel KA; Cole JB
    J Dairy Sci; 2020 Mar; 103(3):2477-2486. PubMed ID: 31954583
    [TBL] [Abstract][Full Text] [Related]  

  • 5. How to improve breeding value prediction for feed conversion ratio in the case of incomplete longitudinal body weights.
    Tran VH; Gilbert H; David I
    J Anim Sci; 2017 Jan; 95(1):39-48. PubMed ID: 28177346
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Impact of multi-output and stacking methods on feed efficiency prediction from genotype using machine learning algorithms.
    Mora M; González P; Quevedo JR; Montañés E; Tusell L; Bergsma R; Piles M
    J Anim Breed Genet; 2023 Nov; 140(6):638-652. PubMed ID: 37403756
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Microbiability and microbiome-wide association analyses of feed efficiency and performance traits in pigs.
    Aliakbari A; Zemb O; Cauquil L; Barilly C; Billon Y; Gilbert H
    Genet Sel Evol; 2022 Apr; 54(1):29. PubMed ID: 35468740
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Reliability of breeding values for feed intake and feed efficiency traits in dairy cattle: When dry matter intake recordings are sparse under different scenarios.
    Negussie E; Mehtiö T; Mäntysaari P; Løvendahl P; Mäntysaari EA; Lidauer MH
    J Dairy Sci; 2019 Aug; 102(8):7248-7262. PubMed ID: 31155258
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Phenotypic and genetic relationships between growth and feed intake curves and feed efficiency and amino acid requirements in the growing pig.
    Saintilan R; Brossard L; Vautier B; Sellier P; Bidanel J; van Milgen J; Gilbert H
    Animal; 2015 Jan; 9(1):18-27. PubMed ID: 25192352
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Genetic parameters for residual feed intake in growing pigs, with emphasis on genetic relationships with carcass and meat quality traits.
    Gilbert H; Bidanel JP; Gruand J; Caritez JC; Billon Y; Guillouet P; Lagant H; Noblet J; Sellier P
    J Anim Sci; 2007 Dec; 85(12):3182-8. PubMed ID: 17785600
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Simultaneous Bayesian estimation of genetic parameters for curves of weight, feed intake, and residual feed intake in beef cattle.
    Esfandyari H; Jensen J
    J Anim Sci; 2021 Sep; 99(9):. PubMed ID: 34370859
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Indirect genetic effects on the relationships between production and feeding behaviour traits in growing Duroc pigs.
    Herrera-Cáceres W; Ragab M; Sánchez JP
    Animal; 2020 Feb; 14(2):233-242. PubMed ID: 31571565
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Genomic prediction ability for feed efficiency traits using different models and pseudo-phenotypes under several validation strategies in Nelore cattle.
    Brunes LC; Baldi F; Lopes FB; Narciso MG; Lobo RB; Espigolan R; Costa MFO; Magnabosco CU
    Animal; 2021 Feb; 15(2):100085. PubMed ID: 33573965
    [TBL] [Abstract][Full Text] [Related]  

  • 14. The impact of training on data from genetically-related lines on the accuracy of genomic predictions for feed efficiency traits in pigs.
    Aliakbari A; Delpuech E; Labrune Y; Riquet J; Gilbert H
    Genet Sel Evol; 2020 Oct; 52(1):57. PubMed ID: 33028194
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Hot topic: Definition and implementation of a breeding value for feed efficiency in dairy cows.
    Pryce JE; Gonzalez-Recio O; Nieuwhof G; Wales WJ; Coffey MP; Hayes BJ; Goddard ME
    J Dairy Sci; 2015 Oct; 98(10):7340-50. PubMed ID: 26254533
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Genetic parameters for feed efficiency in Romane rams and responses to single-generation selection.
    Tortereau F; Marie-Etancelin C; Weisbecker JL; Marcon D; Bouvier F; Moreno-Romieux C; François D
    Animal; 2020 Apr; 14(4):681-687. PubMed ID: 31640830
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Genetic structured antedependence and random regression models applied to the longitudinal feed conversion ratio in growing Large White pigs.
    Huynh-Tran VH; Gilbert H; David I
    J Anim Sci; 2017 Nov; 95(11):4752-4763. PubMed ID: 29293706
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Estimation of genetic parameters and breeding values for feed intake and energy balance using pedigree relationships or single-step genomic evaluation in Holstein Friesian cows.
    Harder I; Stamer E; Junge W; Thaller G
    J Dairy Sci; 2020 Mar; 103(3):2498-2513. PubMed ID: 31864743
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Joint analysis of longitudinal feed intake and single recorded production traits in pigs using a novel Horizontal model.
    Shirali M; Strathe AB; Mark T; Nielsen B; Jensen J
    J Anim Sci; 2017 Mar; 95(3):1050-1062. PubMed ID: 28380533
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Disentangling the dynamics of energy allocation to develop a proxy for robustness of fattening pigs.
    Lenoir G; Flatres-Grall L; Muñoz-Tamayo R; David I; Friggens NC
    Genet Sel Evol; 2023 Nov; 55(1):77. PubMed ID: 37936078
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.