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Year Number of Results
2007 1
2014 1
2015 3
2016 3
2017 1
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2019 3
2020 2
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2022 5
2023 4
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Page 1
Integrating heterogeneous across-country data for proxy-based random forest prediction of enteric methane in dairy cattle.
Negussie E, González-Recio O, Battagin M, Bayat AR, Boland T, de Haas Y, Garcia-Rodriguez A, Garnsworthy PC, Gengler N, Kreuzer M, Kuhla B, Lassen J, Peiren N, Pszczola M, Schwarm A, Soyeurt H, Vanlierde A, Yan T, Biscarini F. Negussie E, et al. Among authors: lassen j. J Dairy Sci. 2022 Jun;105(6):5124-5140. doi: 10.3168/jds.2021-20158. Epub 2022 Mar 26. J Dairy Sci. 2022. PMID: 35346462 Free article.
Predictive ability of host genetics and rumen microbiome for subclinical ketosis.
Gebreyesus G, Difford GF, Buitenhuis B, Lassen J, Noel SJ, Højberg O, Plichta DR, Zhu Z, Poulsen NA, Sundekilde UK, Løvendahl P, Sahana G. Gebreyesus G, et al. Among authors: lassen j. J Dairy Sci. 2020 May;103(5):4557-4569. doi: 10.3168/jds.2019-17824. Epub 2020 Mar 18. J Dairy Sci. 2020. PMID: 32197852 Free 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: lassen j. 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: lassen j. 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.
25 results