Litcius/Paper detail

Predicting methane emission in Canadian Holstein dairy cattle using milk mid-infrared reflectance spectroscopy and other commonly available predictors via artificial neural networks

Saeed Shadpour, T.C.S. Chud, Dagnachew Hailemariam, Graham Plastow, Hinayah Rojas de Oliveira, Paul Stothard, Jan Lassen, F. Miglior, Christine F. Baes, Dan Tulpan, Flávio S. Schenkel

2022Journal of Dairy Science40 citationsDOIOpen Access PDF

Abstract

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Topics & Concepts

Test setMathematicsIce calvingDairy cattleAnimal scienceMean squared errorArtificial neural networkLinear regressionCategorical variableMethane emissionsLactationStatisticsAlgorithmArtificial intelligenceBiologyComputer scienceMethaneEcologyPregnancyGeneticsOdor and Emission Control TechnologiesRuminant Nutrition and Digestive PhysiologyEffects of Environmental Stressors on Livestock