Models to predict dry feed intake in Holstein calves to 4 months of age.

Autor:	Quigley JD; Nurture Research Center, Provimi North America, Cargill Animal Nutrition, Brookville, OH 45309. Electronic address: jquigley@provimi-na.com., Dennis TS; Nurture Research Center, Provimi North America, Cargill Animal Nutrition, Brookville, OH 45309., Suarez-Mena FX; Nurture Research Center, Provimi North America, Cargill Animal Nutrition, Brookville, OH 45309., Chapman CE; Nurture Research Center, Provimi North America, Cargill Animal Nutrition, Brookville, OH 45309., Hill TM; Nurture Research Center, Provimi North America, Cargill Animal Nutrition, Brookville, OH 45309., Aragona KM; Nurture Research Center, Provimi North America, Cargill Animal Nutrition, Brookville, OH 45309.
Jazyk:	angličtina
Zdroj:	Journal of dairy science [J Dairy Sci] 2021 May; Vol. 104 (5), pp. 5539-5556. Date of Electronic Publication: 2021 Mar 23.
DOI:	10.3168/jds.2020-19581
Abstrakt:	Voluntary daily dry feed intake (DFI) in Holstein calves was predicted using 60,761 individual daily observations collected from 1,235 Holstein calves in 30 experiments from 4 research stations in the United States and Europe. Consumption of dry feed (calf starter and hay, kg/d or percent of body weight) was measured from 3 to 114 d of age. Linear models and 2- and 3-parameter nonlinear models were evaluated to predict DFI using age of calf, intake of milk replacer, ambient temperature, percent forage, and neutral detergent fiber concentration in ration dry matter (DM) as independent variables. The initial data set was randomly divided within study location into development (80% of all observations) and validation data sets, and initial screening was conducted using the development data set. Five nonlinear models and 3 linear models (candidate models) were identified and used in further model evaluation. Cross-validation studies (n = 20) with the validation data set were conducted by linear regression of DFI with predicted DFI as independent variable. Candidate models were subsequently evaluated with data from 12 published studies in 2 analyses. The exponential model that best predicted daily DFI in Holstein calves in original and external data sets was DFI (kg/d) = 1.3207 × e [(-5.3892 + 0.6376 × MEgap) × EXP(-0.0392 × Age)] - 0.0013 × Temp + 0.0032 × NDFDM + 0.0026 × Age × MEgap - 0.3646 × PctForage [coefficient of determination (R 2 ) = 0.92, concordance correlation coefficient (CCC) = 0.96, and mean square error of prediction (MSEP) = 0.10 kg]; where MEgap (Mcal/d) = difference of daily metabolizable energy (ME) requirement and ME intake from milk replacer; Age = age of calf (d) from 3 to 114, Temp = mean daily ambient temperature (°C), NDFDM = ration neutral detergent fiber (% DM); PctForage = percent forage in ration DM. The linear model that best predicted DFI was DFI (kg/d = -0.1349 + 0.0106 × Age + 0.1808 × MEgap + 0.0013 × Age × MEgap + 0.0001 × Temp + 0.00002 × Age × Temp (R 2 = 0.93, CCC = 0.96, and MSEP = 0.10 kg). When Temp and ration characteristics were not included, optimal models were 1.4362 × e [(-4.6646 + 0.5234 × MEgap) × EXP(-0.0361 × Age)] + 0.0025 × Age × MEgap (R 2 = 0.92, CCC = 0.96, and MSEP = 0.11 kg) and -0.1344 + 0.0102 × Age + 0.1810 × MEgap + 0.0013 × Age × MEgap [R 2 = 0.93, CCC = 0.96, and MSEP = 0.10 kg]. Models of daily DFI may improve prediction of nutrient supply to young Holstein calves to approximately 4 mo of age, thereby increasing prediction of growth performance. (Copyright © 2021 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.)
Databáze:	MEDLINE
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