Exploring the potential of ingestive behaviour, body measurements, thermal imaging, heart rate and blood pressure to predict dry matter intake in grazing dairy cows

被引:1
作者
Lahart, B. [1 ,2 ]
Kennedy, E. [1 ]
Williams, M. [1 ]
Liddane, M. [1 ]
Boland, T. M. [2 ]
O'Sullivan, K. [3 ]
Buckley, F. [1 ]
机构
[1] TEAGASC, Anim & Grassland Res & Innovat Ctr, Moorepk, Fermoy, Cork, Ireland
[2] Univ Coll Dublin, Sch Agr & Food Sci, Dublin 4, Ireland
[3] Univ Coll Cork, Sch Math Sci, Cork, Ireland
关键词
Dairy cows; dry matter intake; grazing; modelling; FEED-EFFICIENCY; MILK-PRODUCTION; CONDITION SCORE; GENETIC MERIT; STOCKING RATE; WEIGHT; CATTLE; LACTATION; SYSTEMS; MODEL;
D O I
10.15212/ijafr-2020-0125
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
The objective of this study was to develop and validate models to predict dry matter intake (DMI) of grazing dairy cows using animal energy sinks and status traits in combination with traits related to grazing behaviour, body measurements, thermal imaging, heart rate and blood pressure. The dataset used to develop the models comprised 33 measurements from 113 Holstein-Friesian dairy cows. Multivariable regression models were constructed incorporating each independent variable into a benchmark model incorporating the energy sinks (milk yield [MY], fat %, protein % and body weight [BW]) and status traits (feeding treatment, parity and calving day of year). Of the 33 variables tested, 10 showed an association with DMI (P < 0.25). These variables were incorporated into a backward linear regression model. Variables were retained in this model if P < 0.05. Grazing bout duration and rumination mastication rate were retained in the final model. The inclusion of these variables in the model increased DMI prediction by 0.01 (coefficient of determination [R2] = 0.85) compared to the benchmark model alone (R2 = 0.84). The models were applied to data recorded on an independent herd of 51 dairy cows. The R2 upon validation was 0.80 for the benchmark model and 0.79 for the model incorporating rumination mastication rate and grazing bout duration in combination with the benchmark variables. The separation of grazing bout duration and rumination mastication rate to predict DMI revealed rumination mastication rate slightly increases predictive accuracy upon external validation (R2 = 0.81), whereas grazing bout duration did not (R2 = 0.78). This suggests that grazing bout duration is not a robust trait for DMI prediction. Results from this study suggest that rumination mastication rate can slightly increase the accuracy of DMI prediction surpassing known energy sinks and status traits.
引用
收藏
页码:33 / 42
页数:10
相关论文
共 42 条
[1]   Gastrointestinal tract size, total-tract digestibility, and rumen microflora in different dairy cow genotypes [J].
Beecher, M. ;
Buckley, F. ;
Waters, S. M. ;
Boland, T. M. ;
Enriquez-Hidalgo, D. ;
Deighton, M. H. ;
O'Donovan, M. ;
Lewis, E. .
JOURNAL OF DAIRY SCIENCE, 2014, 97 (06) :3906-3917
[2]   International genetic evaluations for feed intake in dairy cattle through the collation of data from multiple sources [J].
Berry, D. P. ;
Coffey, M. P. ;
Pryce, J. E. ;
de Haas, Y. ;
Lovendahl, P. ;
Krattenmacher, N. ;
Crowley, J. J. ;
Wang, Z. ;
Spurlock, D. ;
Weigel, K. ;
Macdonald, K. ;
Veerkamp, R. F. .
JOURNAL OF DAIRY SCIENCE, 2014, 97 (06) :3894-3905
[3]   CELL BIOLOGY SYMPOSIUM: Genetics of feed efficiency in dairy and beef cattle [J].
Berry, D. P. ;
Crowley, J. J. .
JOURNAL OF ANIMAL SCIENCE, 2013, 91 (04) :1594-1613
[4]  
Berry D.P., 2014, Proceedings, 10th World congress of genetics applied to livestock production, P1
[5]  
Brosh A, 1998, J ANIM SCI, V76, P3054
[6]   The relationship between genetic merit for yield and live weight, condition score, and energy balance of spring calving Holstein Friesian dairy cows on grass based systems of milk production [J].
Buckley, F ;
Dillon, P ;
Rath, M ;
Veerkamp, RF .
JOURNAL OF DAIRY SCIENCE, 2000, 83 (08) :1878-1886
[7]   Temporal, spatial, inter-, and intra-cow repeatability of thermal imaging [J].
Byrne, D. T. ;
Berry, D. P. ;
Esmonde, H. ;
McHugh, N. .
JOURNAL OF ANIMAL SCIENCE, 2017, 95 (02) :970-979
[8]   Short communication: Added value of rumination time for the prediction of dry matter intake in lactating dairy cows [J].
Clement, P. ;
Guatteo, R. ;
Delaby, L. ;
Rouille, B. ;
Chanvallon, A. ;
Philipot, J. M. ;
Bareille, N. .
JOURNAL OF DAIRY SCIENCE, 2014, 97 (10) :6531-6535
[9]   Effect of stocking rate and animal genotype on dry matter intake, milk production, body weight, and body condition score in spring-calving, grass-fed dairy cows [J].
Coffey, E. L. ;
Delaby, L. ;
Fitzgerald, S. ;
Galvin, N. ;
Pierce, K. M. ;
Horan, B. .
JOURNAL OF DAIRY SCIENCE, 2017, 100 (09) :7556-7568
[10]   Dry matter intake and feed efficiency profiles of 3 genotypes of Holstein-Friesian within pasture-based systems of milk production [J].
Coleman, J. ;
Berry, D. P. ;
Pierce, K. M. ;
Brennan, A. ;
Horan, B. .
JOURNAL OF DAIRY SCIENCE, 2010, 93 (09) :4318-4331