D. Hailemariam - Department of Agricultural, Food and Nutritional Science, University of Alberta

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论文共 16 篇作者统计合作学者相似作者

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Novel Genetic Parameters for Genetic Residual Feed Intake in Dairy Cattle Using Time Series Data from Multiple Parities and Countries in North America and Europe

R. B. Stephansen,P. Martin,C. I. V. Manzanilla-Pech,B. Gredler-Grandl,G. Sahana, P. Madsen,K. Weigel,R. J. Tempelman,F. Penagaricano,K. L. Parker Gaddis,H. M. White,J. E. P. Santos,J. E. Koltes,F. Schenkel,D. Hailemariam,G. Plastow, E. Abdalla,M. VandeHaar,R. F. Veerkamp,C. Baes,J. Lassen

JOURNAL OF DAIRY SCIENCEno. 12 (2023): 9078-9094

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280. Accuracy of Genomic Prediction of Dry Matter Intake in Dutch Holsteins Using Sequence Variants from Meta-Analyses

Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP) (2022)

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Predicting Enteric Methane Emission in Lactating Holsteins Based on Reference Methane Data Collected by the GreenFeed System

R. Liu,D. Hailemariam,T. Yang,F. Miglior,F. Schenkel, Z. Wang,P. Stothard, S. Zhang,G. Plastow

Animal（2022）

引用5浏览0WOS引用

Estimating the environmental impact of dairy cattle breeding programs through emission intensity

C.M. Richardson,C.F. Baes,P.R. Amer,C. Quinton,F. Hely,V.R. Osborne,J.E. Pryce,D. Hailemariam,F. Miglior

Animal（2021）

引用3浏览0WOS引用

Assessment of Methane Emission Traits in Canadian Holstein Cows

S. Kamalanathan,T. C. S. Chud,D. Hailemariam,P. Stothard,G. Plastow,F. Miglior,C. F. Baes,F. S. Schenkel

JOURNAL OF DAIRY SCIENCE（2020）

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Contribution of Milk Mid-Infrared Spectrum to Improve the Accuracy of Test-Day Body Weight Predicted from Stage, Lactation Number, Month of Test and Milk Yield

H. Soyeurt,E. Froidmont,I Dufrasne,D. Hailemariam, Z. Wang,C. Bertozzi,F. G. Colinet,F. Dehareng,N. Gengler

Livestock Science（2019）

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Correlations of feed efficiency measures to parameters of the Dijkstra lactation model in dairy cattle

D. J. Seymour,A. Canovas,T. C. S. Chud,J. P. Cant,V. R. Osborne,F. S. Schenkel,D. Hailemariam,E. E. Connor,J. E. Pryce,E. Wall,S. Wegmann,J. Lassen,F. Miglior

JOURNAL OF DAIRY SCIENCE (2019): 340-340

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Genetic parameters for dry matter intake, body weight, and energy corrected milk in dairy cattle

T. C. Seleguim Chud,F. Miglior,D. J. Seymour,D. Hailemariam,C. Baes,F. S. Schenkel

JOURNAL OF DAIRY SCIENCE (2019): 258-258

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Urine Metabolic Fingerprinting Can Be Used to Predict the Risk of Metritis and Highlight the Pathobiology of the Disease in Dairy Cows

E. Dervishi,G. Zhang,D. Hailemariam,R. Mandal,D. S. Wishart,B. N. Ametaj

Metabolomics（2018）

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PSXVII-33 Identification of Urine Metabolite Signatures for Monitoring Dairy Cows for Susceptibility to Metritis by DI/LC-MS/MS-based Metabolomics

D. Hailemariam,G. Zhang,D. Wishart,B. Ametaj

Journal of animal science/Journal of animal science and ASAS reference compendiumno. suppl_3 (2018): 43-43

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