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 *

127 related articles for article (PubMed ID: 31269214)

  • 1. Predicting dry matter intake using conceptual models for cattle kept under tropical and subtropical conditions1.
    Bateki CA; Dickhoefer U
    J Anim Sci; 2019 Sep; 97(9):3727-3740. PubMed ID: 31269214
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Evaluation of the Modified LIVestock SIMulator for Stall-Fed Dairy Cattle in the Tropics.
    Bateki CA; Dickhoefer U
    Animals (Basel); 2020 May; 10(5):. PubMed ID: 32397285
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Meta-analysis of spineless cactus feeding to meat lambs: performance and development of mathematical models to predict dry matter intake and average daily gain.
    Knupp LS; Carvalho FFR; Cannas A; Marcondes MI; Silva AL; Francesconi AHD; Beltrão da Cruz GR; Atzori AS; Gaspa G; Costa RG
    Animal; 2019 Oct; 13(10):2260-2267. PubMed ID: 30838969
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Accuracy of enteric methane emission models for cattle in sub-Saharan Africa: status quo and the way forward.
    Bateki CA; Wilkes A; Schlecht E
    J Anim Sci; 2023 Jan; 101():. PubMed ID: 38035761
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Predicting microbial crude protein synthesis in cattle from intakes of dietary energy and crude protein.
    Galyean ML; Tedeschi LO
    J Anim Sci; 2023 Jan; 101():. PubMed ID: 37843507
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Development of a model to predict dietary metabolizable energy from digestible energy in beef cattle.
    Seo S; Kang K; Jeon S; Lee M; Jeong S; Tedeschi L
    J Anim Sci; 2021 Jul; 99(7):. PubMed ID: 34097741
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Models to predict dry feed intake in Holstein calves to 4 months of age.
    Quigley JD; Dennis TS; Suarez-Mena FX; Chapman CE; Hill TM; Aragona KM
    J Dairy Sci; 2021 May; 104(5):5539-5556. PubMed ID: 33741153
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A comparison of the effect of forage type and level of feeding on the digestibility and gastrointestinal mean retention time of dry forages given to cattle, sheep, ponies and donkeys.
    Pearson RA; Archibald RF; Muirhead RH
    Br J Nutr; 2006 Jan; 95(1):88-98. PubMed ID: 16441920
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Prediction of methane per unit of dry matter intake in growing and finishing cattle from the ratio of dietary concentrations of starch to neutral detergent fiber alone or in combination with dietary concentration of ether extract.
    Galyean ML; Hales KE
    J Anim Sci; 2022 Sep; 100(9):. PubMed ID: 35894938
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Evaluation of predicted ration nutritional values by NRC (2001) and INRA (2018) feed evaluation systems, and implications for the prediction of milk response.
    Daniel JB; Van Laar H; Dijkstra J; Sauvant D
    J Dairy Sci; 2020 Dec; 103(12):11268-11284. PubMed ID: 33010908
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Prediction of intake in growing dairy heifers under tropical conditions.
    Oliveira AS; Ferreira VB
    J Dairy Sci; 2016 Feb; 99(2):1103-1110. PubMed ID: 26709180
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An evaluation of the accuracy and precision of methane prediction equations for beef cattle fed high-forage and high-grain diets.
    Escobar-Bahamondes P; Oba M; Beauchemin KA
    Animal; 2017 Jan; 11(1):68-77. PubMed ID: 27364619
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Predicting nitrogen excretion of cattle kept under tropical and subtropical conditions using semimechanistic models.
    Salazar-Cubillas K; Corea E; Dickhoefer U
    J Anim Physiol Anim Nutr (Berl); 2024 Mar; 108(2):423-438. PubMed ID: 37990614
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Updating predictions of dry matter intake of lactating dairy cows.
    de Souza RA; Tempelman RJ; Allen MS; VandeHaar MJ
    J Dairy Sci; 2019 Sep; 102(9):7948-7960. PubMed ID: 31326181
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Predicting metabolizable energy from digestible energy for growing and finishing beef cattle and relationships to the prediction of methane.
    Hales KE; Coppin CA; Smith ZK; McDaniel ZS; Tedeschi LO; Cole NA; Galyean ML
    J Anim Sci; 2022 Mar; 100(3):. PubMed ID: 35034122
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Evaluation of nutrition models to estimate performance of young dairy calves: a meta-analytical study under tropical conditions.
    Souza VL; Drackley JK; Almeida R; Bittar CM; Albertini TZ; Morrison SY; Lanna DP
    Animal; 2016 Dec; 10(12):1965-1974. PubMed ID: 27212564
    [TBL] [Abstract][Full Text] [Related]  

  • 17. On-farm evaluation of models to predict herbage intake of dairy cows grazing temperate semi-natural grasslands.
    Perdana-Decker S; Velasco E; Werner J; Dickhoefer U
    Animal; 2023 May; 17(5):100806. PubMed ID: 37148624
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Prediction models of intake and productive performance of non-castrated Nellore cattle finished in the feedlot system under tropical conditions.
    de Figueiredo Moura JR; Ítavo LCV; Ítavo CCBF; Dias AM; Dos Santos Difante G; Dos Santos GT; Gurgel ALC; Chay-Canul AJ
    Trop Anim Health Prod; 2023 Feb; 55(2):64. PubMed ID: 36735099
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Short communication: Prediction of intake in dairy cows under tropical conditions.
    Souza MC; Oliveira AS; Araújo CV; Brito AF; Teixeira RM; Moares EH; Moura DC
    J Dairy Sci; 2014; 97(6):3845-54. PubMed ID: 24731647
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Determination of energy and protein requirements of preweaned dairy calves: A multistudy approach.
    Marcondes MI; Silva AL
    J Dairy Sci; 2021 Nov; 104(11):11553-11566. PubMed ID: 34454768
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.