Prediction of methane emission from lactating dairy cows using milk fatty acids and mid-infrared spectroscopy

2016 ◽  
Vol 96 (12) ◽  
pp. 3963-3968 ◽  
Author(s):  
Sanne van Gastelen ◽  
Jan Dijkstra
Keyword(s):  
Fatty Acids ◽  
Infrared Spectroscopy ◽  
Dairy Cows ◽  
Methane Emission ◽  
Milk Fatty Acids ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy ◽  
Lactating Dairy Cows

scholarly journals Milk fatty acids estimated by mid-infrared spectroscopy and milk yield can predict methane emissions in dairy cows

2018 ◽  
Vol 38 (3) ◽  
Author(s):  
Stefanie W. Engelke ◽  
Gürbüz Daş ◽  
Michael Derno ◽  
Armin Tuchscherer ◽  
Werner Berg ◽  
...  
Keyword(s):  
Fatty Acids ◽  
Infrared Spectroscopy ◽  
Dairy Cows ◽  
Milk Yield ◽  
Methane Emissions ◽  
Milk Fatty Acids ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy

Predicting milk fatty acids and energy balance of dairy cows in Australia using milk mid-infrared spectroscopy

2020 ◽  
Vol 60 (1) ◽  
pp. 164 ◽  
Author(s):  
P. N. Ho ◽  
L. C. Marett ◽  
W. J. Wales ◽  
M. Axford ◽  
E. M. Oakes ◽  
...  
Keyword(s):  
Fatty Acids ◽  
Infrared Spectroscopy ◽  
Energy Balance ◽  
Dairy Cows ◽  
Chain Length ◽  
Prediction Accuracy ◽  
Prediction Models ◽  
Milk Fatty Acids ◽  
Mid Infrared ◽  
A Chain

Mid-infrared spectroscopy (MIRS) is traditionally used for analysing milk fat, protein and lactose concentrations in dairy production, but there is growing interest in using it to predict difficult, or expensive-to-measure, phenotypes on a large scale. The resulting prediction equations can be applied to MIRS data from commercial herd-testing, to facilitate management and feeding decisions, or for genomic selection purposes. We investigated the ability of MIRS of milk samples to predict milk fatty acids (FAs) and energy balance (EB) of dairy cows in Australia. Data from 240 Holstein lactating cows that were part of two 32-day experiments, were used. Milk FAs were measured twice during the experimental period. Prediction models were developed using partial least-square regression with a 10-fold cross-validation. Measures of prediction accuracy included the coefficient of determination (R2cv) and root mean-square error. Milk FAs with a chain length of ≤16 were accurately predicted (0.89 ≤ R2cv ≤ 0.95), while prediction accuracy for FAs with a chain length of ≥17 was slightly lower (0.72 ≤ R2cv ≤ 0.82). The accuracy of the model prediction was moderate for EB, with the value of R2cv of 0.48. In conclusion, the ability of MIRS to predict milk FAs was high, while EB was moderately predicted. A larger dataset is needed to improve the accuracy and the robustness of the prediction models.

Determination of C22:5 and C22:6 marine fatty acids in pork fat with Fourier transform mid-infrared spectroscopy

Meat Science ◽  
2005 ◽  
Vol 69 (3) ◽  
pp. 433-440 ◽  
Author(s):  
Audun Flåtten ◽  
Eli A. Bryhni ◽  
Achim Kohler ◽  
Bjørg Egelandsdal ◽  
Tomas Isaksson
Keyword(s):  
Fatty Acids ◽  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy ◽  
Pork Fat

scholarly journals Effect of supplemental rumen-protected lysine, methionine or both added to diet of lactating dairy cows on milk fatty acids profile

2010 ◽  
Vol 58 (1) ◽  
pp. 87-94 ◽  
Author(s):  
Ludmila Křížová ◽  
Jiří Třináctý ◽  
Jarmila Svobodová ◽  
Michal Richter ◽  
Vladimír Černý ◽  
...  
Keyword(s):  
Fatty Acids ◽  
Dairy Cows ◽  
Milk Fat ◽  
Latin Square ◽  
Total Content ◽  
Experimental Period ◽  
Maize Silage ◽  
Milk Fatty Acids ◽  
Fatty Acids Profile ◽  
Lactating Dairy Cows

The objective of this study was to determine the effect of supplemental lysine (Lys), methionine (Met) or both added to diet of dairy cows in the form of rumen-protected (RP) tablets on changes in milk fatty acids (FA) profile. The trial was carried out on four lactating Holstein cows in the form of Latin square design and was divided into 4 periods of 14 d (10-d preliminary period and a 4-d experimental period). The four treatments were as follows: C – control without amino acids (AA) supplementation, L – supplement of RP Lys, M – supplement of RP Met and ML – supplement of RP Met and Lys. Cows were fed on a diet based on maize silage, lucerne hay and supplemental mixture. Milk yield in ML (34.18 kg/d) was higher than in L or M (32.46 kg and 32.13 kg, respectively, P < 0.05) and tended to be higher than in C (33.33 kg/d, P > 0.05). Protein yield in ML (1054 g / d) was higher than that found in C, L or M (990, 998 or 968 g / d, respectively, P < 0.05). Milk fat content and yield in C and ML was higher in comparison to L and M (P < 0.05). Content of short-chain FA (C 4:0–C 12:0) was not affected by the treatment except of L that was lower than in C (P < 0.05). Content of medium-chain FA in M was lower compared to C, L or ML (P < 0.05). The content of long-chain FA in M was significantly higher than in other groups (P < 0.05). The total content of SFA in M was lower than in C or ML (P < 0.05) and tended to be lower than in L. Contents of UFA, MUFA and PUFA in M were higher than in C and ML (P < 0.05).

scholarly journals Factors associated with milk processing characteristics predicted by mid-infrared spectroscopy in a large database of dairy cows

2017 ◽  
Vol 100 (4) ◽  
pp. 3293-3304 ◽  
Author(s):  
G. Visentin ◽  
M. De Marchi ◽  
D.P. Berry ◽  
A. McDermott ◽  
M.A. Fenelon ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Dairy Cows ◽  
Large Database ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy ◽  
Milk Processing ◽  
Factors Associated

scholarly journals Classifying the fertility of dairy cows using milk mid-infrared spectroscopy

2019 ◽  
Vol 102 (11) ◽  
pp. 10460-10470 ◽  
Author(s):  
P.N. Ho ◽  
V. Bonfatti ◽  
T.D.W. Luke ◽  
J.E. Pryce
Keyword(s):  
Infrared Spectroscopy ◽  
Dairy Cows ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy
Sign in / Sign up

Export Citation Format

Share Document