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The use of milk Fourier transform midinfrared spectra and milk yield to estimate heat production as a measure of efficiency of dairy cows

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Journal of Animal Science and Biotechnology 2020年第3期11卷 920-928页

作者： sadjad danesh mesgaran Anja Eggert Peter Höckels Michael Derno Björn Kuhla Institute of Nutritional Physiology“Oskar Kellner ”Leibniz Institute for Farm Animal Biology(FBN)Wilhelm-Stahl-Allee 218196 DummerstorfGermany Institute of Genetics and Biometry Leibniz Institute for Farm Anih8mal Biology(FBN)Wilhelm-Stahl-Allee 218196 DummerstorfGermany IfM GmbH&Co.KG-Institut für Milchuntersuchung(Milk Testing Services North Rhine-Westphalia) Bischofstraße 8547809 KrefeldGermany

Background:Transformation of feed energy ingested by ruminants into milk is accompanied by energy losses via fecal and urine excretions,fermentation gases and *** production may differ among dairy cows despite comparable milk yield and body ***,heat production can be considered an indicator of metabolic efficiency and directly measured in respiration *** latter is an accurate but time-consuming *** contrast,milk Fourier transform mid-infrared(FTIR)spectroscopy is an inexpensive high-throughput method and used to estimate different physiological traits in ***,this study aimed to develop a heat production prediction model using heat production measurements in respiration chambers,milk FTIR spectra and milk yield measurements from dairy ***:Heat production was computed based on the animal’s consumed oxygen,and produced carbon dioxide and methane in respiration *** production data included 16824-h-observations from 64 German Holstein and 20 dual-purpose Simmental *** were milked twice daily at 07:00 and 16:30 h in the respiration *** yield was determined to predict heat production using a linear *** samples were collected from each milking and FTIR spectra were obtained with MilkoScan FT *** average or milk yield-weighted average of the absorption spectra from the morning and afternoon milking were calculated to obtain a computed spectrum.A total of 288 wavenumbers per spectrum and the corresponding milk yield were used to develop the heat production model using partial least squares(PLS)***:Measured heat production of studied animals ranged between 712 and 1470 kJ/kg *** coefficient of determination for the linear regression between milk yield and heat production was 0.46,whereas it was 0.23 for the FTIR spectra-based PLS *** PLS prediction model using weighted average spectra and milk yield resulted in a cross-validation variance of 57%and a ro

关键词： Dairy cattle Heat production Milk spectra Partial least square regression Respiration chamber

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