SHORT COMMUNICATION
The use of NIRS for prediction of intake, digestibility and diet composition in sheep fed mixed grain:roughage diets
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1
Departamento de Producción Animal y Ciencia de los Alimentos,Universidad de Zaragoza, Miguel Servet 177, 50013 Zaragoza, Spain
 
2
Centro de Investigación y Tecnología Agroalimentaria, Diputación General de Aragón, Avenida de Montañana, 930, 50059 Zaragoza, Spain
 
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Present address: INRA-Theix URH-DVA 63122 Saint Genès Champanelle, France
 
 
Publication date: 2004-08-30
 
 
Corresponding author
A. de Vega   

Departamento de Producción Animal y Ciencia de los Alimentos,Universidad de Zaragoza, Miguel Servet 177, 50013 Zaragoza, Spain
 
 
J. Anim. Feed Sci. 2004;13(Suppl. 1):227-230
 
KEYWORDS
ABSTRACT
Sixteen adult sheep fed on different proportions of barley grain and straw (60:40, 45:55, 30: 70 and 15:85) were used to obtain regression equations for prediction of dry matter (DMI) and digestible organic matter (DOMI) intake, dry matter (DMD), organic matter (OMD), crude protein (CPD) and neutral detergent fibre (NDFD) digestibility, and proportion of straw consumed (% straw) from the NIRS analysis of the faeces. All equations had coefficients of determination in calibration higher than 0.65, except that for the prediction of NDFD (R2 = 0.11). The coefficients of determination in cross-validation were much lower, with only DMD, OMD and % straw predictions showing values higher than 0.70.
 
CITATIONS (8):
1.
Validation of the n-alkane and NIRS techniques to estimate intake, digestibility and diet composition in sheep fed mixed lucerne: ryegrass diets
A. Keli, D. Andueza, A. de Vega, J.A. Guada
Livestock Science
 
2.
Prediction of diet quality for sheep from faecal characteristics: comparison of near-infrared spectroscopy and conventional chemistry predictive models
D. G. Kneebone, G. McL. Dryden
Animal Production Science
 
3.
Predicting rodent impact in crop fields by near-infrared reflectance spectroscopy analysis of their diet preferences
Marta Heroldova, David Cizmar, Emil Tkadlec
Crop Protection
 
4.
Prediction on the Quality of Forage Crop Seeded in Spring by Near Infrared Reflectance Spectroscopy (NIRS)
Hyo-Won Lee
Journal of The Korean Society of Grassland and Forage Science
 
5.
Validation of DNA metabarcoding of fecal samples using cattle fed known rations
John Scasta
Animal Feed Science and Technology
 
6.
Prediction of quality of total mixed ration for dairy cows by near infrared reflectance spectroscopy and empirical equations
Sonia Pereira-Crespo, Adrián Botana, Marcos Veiga, Laura González, César Resch, Valentín García-Souto, Pilar del, Roberto Lorenzana, Gonzalo Flores-Calvete
Journal of Applied Animal Research
 
7.
Organic matter and crude protein digestibility predicted from nitrogen and fibre fractionation of festulolium hybrids
Petr Homolka, Marie Koukolová, Veronika Koukolová
Czech Journal of Animal Science
 
8.
Fecal NIRS to estimate intake and diet composition in Sarda dairy ewes fed mixed diets or part-time grazing forage crops
G. Molle, M. Decandia, G. Scanu, M.G. Serra, S. Contini, V. Giovanetti, M. Acciaro, A. Cabiddu, M. Caredda, M.F. Lunesu, A.S. Atzori, A. Cannas, S.Y. Landau
Small Ruminant Research
 
ISSN:1230-1388
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