SHORT COMMUNICATION
The use of NIRS for prediction of intake,
digestibility and diet composition in sheep fed
mixed grain:roughage diets
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
3
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
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
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
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
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
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
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
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
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
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
Share
RELATED ARTICLE
| ISSN: | 1230-1388 |
Assigning DOI numbers, introducing articles from supplements and recent publications to POL-index database, maintaining anti-plagiarism detection, electronic system to proceed manuscripts and webpage of the Journal with interactive pdf files, and language correction of manuscripts published in Journal of Animal and Feed Sciences are financed in the years 2018–2019 by the Ministry of Science and Higher Education from the funds for science popularization activities, Agreement No. 631/P-DUN/2018.
© 2006-2024 Journal hosting platform by Bentus
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
