Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

Filters

My NCBI Filters

Text availability

Article attribute

Article type

Publication date

Search Results

71 results

Filters applied: . Clear all
Results are displayed in a computed author sort order. The Results By Year timeline is not available.
Page 1
Validation of Dairy Cow Bodyweight Prediction Using Traits Easily Recorded by Dairy Herd Improvement Organizations and Its Potential Improvement Using Feature Selection Algorithms.
Tedde A, Grelet C, Ho PN, Pryce JE, Hailemariam D, Wang Z, Plastow G, Gengler N, Brostaux Y, Froidmont E, Dehareng F, Bertozzi C, Crowe MA, Dufrasne I, Soyeurt H, GplusE Consortium Group. Tedde A, et al. Among authors: hailemariam d. Animals (Basel). 2021 Apr 30;11(5):1288. doi: 10.3390/ani11051288. Animals (Basel). 2021. PMID: 33946238 Free PMC article.
Multiple Country Approach to Improve the Test-Day Prediction of Dairy Cows' Dry Matter Intake.
Tedde A, Grelet C, Ho PN, Pryce JE, Hailemariam D, Wang Z, Plastow G, Gengler N, Froidmont E, Dehareng F, Bertozzi C, Crowe MA, Soyeurt H, On Behalf Of The GplusE Consortium. Tedde A, et al. Among authors: hailemariam d. Animals (Basel). 2021 May 4;11(5):1316. doi: 10.3390/ani11051316. Animals (Basel). 2021. PMID: 34064417 Free PMC article.
Predicting dry matter intake in Canadian Holstein dairy cattle using milk mid-infrared reflectance spectroscopy and other commonly available predictors via artificial neural networks.
Shadpour S, Chud TCS, Hailemariam D, Oliveira HR, Plastow G, Stothard P, Lassen J, Baldwin R, Miglior F, Baes CF, Tulpan D, Schenkel FS. Shadpour S, et al. Among authors: hailemariam d. J Dairy Sci. 2022 Oct;105(10):8257-8271. doi: 10.3168/jds.2021-21297. Epub 2022 Aug 31. J Dairy Sci. 2022. PMID: 36055837 Free article.
Predicting methane emission in Canadian Holstein dairy cattle using milk mid-infrared reflectance spectroscopy and other commonly available predictors via artificial neural networks.
Shadpour S, Chud TCS, Hailemariam D, Plastow G, Oliveira HR, Stothard P, Lassen J, Miglior F, Baes CF, Tulpan D, Schenkel FS. Shadpour S, et al. Among authors: hailemariam d. J Dairy Sci. 2022 Oct;105(10):8272-8285. doi: 10.3168/jds.2021-21176. Epub 2022 Aug 31. J Dairy Sci. 2022. PMID: 36055858 Free article.
Genetic Analysis of Methane Emission Traits in Holstein Dairy Cattle.
Kamalanathan S, Houlahan K, Miglior F, Chud TCS, Seymour DJ, Hailemariam D, Plastow G, de Oliveira HR, Baes CF, Schenkel FS. Kamalanathan S, et al. Among authors: hailemariam d. Animals (Basel). 2023 Apr 11;13(8):1308. doi: 10.3390/ani13081308. Animals (Basel). 2023. PMID: 37106871 Free PMC article.
71 results