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RESEARCH ARTICLE

Prediction of aspects of neutral detergent fibre digestion of forages by chemical composition and near infrared reflectance spectroscopy

S. Andrés A C D , F. J. Giráldez B C , J. S. González A C , R. Peláez A C , N. Prieto B and A. Calleja A C
+ Author Affiliations
- Author Affiliations

A Departamento de Producción Animal I, Universidad de León, E-24071 León, Spain.

B Estación Agrícola Experimental, CSIC. Apartado 788, E-24080 León, Spain.

C Unidad Asociada al CSIC Grupo de Nutrición-Praticultura del Departamento de Producción Animal I de la Universidad de León a través de la Estación Agrícola Experimental de León, Spain.

D Corresponding author. Email: dp1sal@unileon.es

Australian Journal of Agricultural Research 56(2) 187-193 https://doi.org/10.1071/AR04164
Submitted: 13 July 2004  Accepted: 17 December 2004   Published: 28 February 2005

Abstract

Sixty-two herbage samples, harvested in natural meadows located in the mountains of León (north-west Spain), and characterised by a diverse botanical composition and different stages of maturity of the plants, were used to evaluate the ability of chemical composition and near infrared (NIR) spectroscopy to predict in vitro digestibility and in sacco degradability of the neutral detergent fibre (NDF) fraction. In vitro digestibility was performed as described by the Goering and Van Soest procedure. Three dry Holstein-Friesian cows fitted with a rumen cannula were used to incubate the herbage samples. A Bran+Luebbe InfraAlyzer 500 spectrophotometer was used to obtain the NIR spectra corresponding to the 62 original herbage samples. Prediction equations for the estimation of in vitro digestibility and in sacco degradability parameters of the NDF fraction were generated using NIR spectra or chemical data as independent variables. The results showed that the in vitro digestibility and kinetic parameters of degradation of the NDF fraction could not be predicted accurately, probably as a consequence of the errors corresponding to the reference methods. In contrast, these errors did not greatly affect the extent of disappearance of the NDF fraction at later times, so the accuracy of prediction of these parameters was higher, especially when NIR spectra were used as independent variables. This is probably due to the close relationship that the parameters showed with the chemical data, since this kind of information, together with some physical characteristics of the samples, is included in the NIR spectra.

Additional keywords: NDF, degradability, digestibility, herbage, NIRS.


Acknowledgments

S. Andrés is grateful to the ‘Junta de Castilla y León’, Spain, for financial assistance with a pre-doctorate grant. We also thank the Animal Production and Feed Science Department of the University of Zaragoza (Spain) and the Animal Production Department of the University of Extremadura (Spain) for their essential contribution to this work. The project was funded by the Spanish Ministry of Science and Technology (Project 1FD97–0776).


References


AFRC (1992) Technical Committee on Responses to Nutrients. Report No. 9: Requirements of ruminant animals: protein. Nutrition Abstracts and Reviews (Series B) , 787–835. open url image1

Ammar H, López S, Bochi O, García R, Ranilla MJ (1999) Composition and in vitro digestibility of leaves and stems of grasses and legumes harvested from permanent mountain meadows at different maturity stages. Journal of Animal and Feed Sciences 8, 599–610. open url image1

Andrés S, Giráldez FJ, López S, Mantecón AR, Calleja A (2005) Nutritive evaluation of herbage from permanent meadows by near infrared reflectance spectroscopy 1. Prediction of chemical composition and in vitro digestibility. Journal of the Science of Food and Agriculture (in press) , open url image1

Antoniewicz AM, Kowalczyk J, Kanski J, Gorska-Matusiak Z, Nalepka M (1995) Rumen degradability of crude protein of dried grass and lucerne forage measured by in sacco incubation and predicted by near infrared spectroscopy. Animal Feed Science and Technology 54, 203–216.
Crossref | GoogleScholarGoogle Scholar | open url image1

AOAC (1999). ‘Official methods of analysis of the Association of Official Analytical Chemists.’ 16th edn . (AOAC International: Arlington, VA)

Bailey RW (1973) Structural carbohydrates. ‘Chemistry and biochemistry of herbage’. (Eds GW Butler, RW Bailey) pp. 157–206. (Academic Press: London, UK)

Bakalli RI, Pesti GM, Etheridge RD (2000) Comparison of a commercial near infrared reflectance spectroscope and standard chemical assay procedures for analyzing feed ingredients: influence of grinding methods. Journal of Applied Poultry Research 9, 204–213. open url image1

Barrière Y, Tovar-Gómez MR, Émile JC, Sauvant D (1998) Genetic variation in rate and extent of the in situ cell wall degradation of maize stalks at silage harvest time. Agronomie 18, 581–589. open url image1

Batten GD (1998) Plant analysis using near infrared reflectance spectroscopy: the potential and the limitations. Australian Journal of Experimental Agriculture 38, 697–706.
Crossref | GoogleScholarGoogle Scholar | open url image1

Bochi Brum O (2001) Influencia de la época de corte, la fecha de siega, el sistema de aprovechamiento y la fertilización mineral de los prados sobre el valor nutritivo de la hierba. Tesis doctoral, Departamento de Producción Animal I, Universidad de León, Spain.

Coleman SW, Henry DA (2002) Nutritive value of herbage. ‘Sheep nutrition’. (Eds M Freer, H Dove) pp. 1–26. (CAB International Publishing: Wallingford, UK)

Deinum B, Struick PC (1989) Genetic variation in digestibility of forage maize (Zea mays L.) and its estimation by near infrared reflectance spectroscopy (NIRS). An analysis. Euphytica 42, 89–98.
Crossref | GoogleScholarGoogle Scholar | open url image1

Dhanoa MS, France J, López S, Dijkstra J, Lister SJ, Davies DR, Bannink A (1999a) Correcting the calculation of extent of degradation to account for particulate matter loss at zero time when applying the polyester bag method. Journal of Animal Science 77, 3385–3391.
PubMed |
open url image1

Dhanoa MS, Lister SJ, France J, Barnes RJ (1999b) Use of mean square prediction error analysis and reproducibility measures to study near infrared calibration equation performance. Journal of Near Infrared Spectroscopy 7, 133–143. open url image1

Fox DG, Sniffen CJ, O’Connor JD, Russell JB, Van Soest PJ (1992) A net carbohydrate and protein system for evaluating cattle diets: cattle requirements and diet adequacy. Journal of Animal Science 80, 3578–3598. open url image1

Giráldez FJ, González JS, Ovejero FJ, Valdés C (1993) Degradación ruminal de henos de prado permanente: efecto del grado de madurez. Archivos de Zootecnia 156, 13–20. open url image1

Goering HK, Van Soest PJ (1970) Forage fibre analyses (apparatus, reagents, procedures and some applications ‘USDA Handbook No. 379’. (US Government Printing Office: Washington, DC)

Halgerson JL, Sheaffer CC, Hesterman OB, Griffin TS, Stern MD, Randall GW (1995) Prediction of ruminal protein degradability of forages using near infrared reflectance spectroscopy. Agronomy Journal 87, 1227–1231. open url image1

Hatfield RD, Jung HG, Ralph J, Buxton DR, Weimer PJ (1994) A comparison of the insoluble residues produced by the Klason lignin and acid detergent lignin procedures. Journal of the Science of Food and Agriculture 65, 51–58. open url image1

Herrero M, Jessop NS, Fawcett RH, Murray I, Dent JB (1997) Prediction of the in vitro gas production dynamics of kikuyu grass by near infrared reflectance spectroscopy using spectrally structured sample populations. Animal Feed Science and Technology 69, 281–287.
Crossref | GoogleScholarGoogle Scholar | open url image1

Herrero M, Murray I, Fawcett RH, Dent JB (1996) Prediction of the in vitro gas production and chemical composition of kikuyu grass by near infrared reflectance spectroscopy. Animal Feed Science and Technology 60, 51–67.
Crossref | GoogleScholarGoogle Scholar | open url image1

Hsu H, McNeil A, Okine E, Mathison G, Soofi-Siawash R (1998) Near infrared spectroscopy for measuring in situ degradability in barley forages. Journal of Near Infrared Spectroscopy 6, 129–143. open url image1

Huntington JA, Givens DI (1995) The in situ technique for studying the rumen degradation of feeds: a review of the procedure. Nutrition Abstracts and Reviews (Series B) 65, 63–93. open url image1

Jung HG, Allen MS (1995) Characteristics of plant cell walls affecting intake and digestibility of forages by ruminants. Journal of Animal Science 73, 2774–2790.
PubMed |
open url image1

Jung HG, Mertens DR, Buxton DR (1998) Forage quality variation among maize inbreeds: in vitro fibre digestion kinetics and prediction with NIRS. Crop Science 38, 205–210. open url image1

Mathison GW, Hsu H, Soofi-Siawash R, Recinos-Díaz G, Okine EK, Helm J, Juskiw P (1999) Prediction of composition and ruminal degradability characteristics of barley straw and near infrared reflectance spectroscopy. Canadian Journal of Animal Science 79, 519–523. open url image1

McDonald P (2002) Grass and forage crops. ‘Nutrición animal’. (Eds FD Greenhalgh, CA Morgan, R Edwards, P McDonald) pp. 445–513. (Longman Scientific and Technical: New York, NY)

Nousiainen J, Ahvenjärvi S, Rinne M, Hellämäki M, Huhtanen P (2004) Prediction of indigestible cell wall fraction of grass silage by near infrared reflectance spectroscopy. Animal Feed Science and Technology 115, 295–311.
Crossref | GoogleScholarGoogle Scholar | open url image1

Ørskov ER, McDonald I (1979) The estimation of protein degradability in the rumen from incubation measurements weighted according to rate of passage. Journal of Agricultural Science (Cambridge) 92, 499–503. open url image1

Riewe ME, Lippke H (1970) Considerations in determining the digestibility of harvested forages. ‘Proceedings of the National Conference on Forage Quality, Evaluation and Utilization’. Lincoln, NE..


Rodwell JS, Dring JC, Averis ABG, Proctor MCF, Malloch AJC, Schaminée JHJ, Dargie TCD (2000) Review of coverage of the National Vegetation Classification. JNCC Report, No. 302, Joint Nature Conservation Committee, Peterborough.

de la Roza B, Martínez A, Santos B, González J, Gómez G (1998) The estimation of crude protein and dry matter degradability of maize and grass silages by near infrared spectroscopy. Journal of Near Infrared Spectroscopy 6, 145–151. open url image1

SAS (1989). ‘SAS/STAT User’s guide, release 6.03.’ (Statistical Analysis System Institute Inc.: Cary, NC)

Shenk JS, Westerhaus MO (1993) Near infrared reflectance analysis with single and multiproduct calibration. Crop Science 33, 582–584. open url image1

Smith KF, Simpson RJ, Armstrong RD (1998) Using near infrared reflectance spectroscopy to estimate the nutritive value of senescing annual ryegrass (Lolium rigidum): a comparison of calibration methods. Australian Journal of Experimental Agriculture 38, 45–54.
Crossref | GoogleScholarGoogle Scholar | open url image1

Sniffen CJ, O’Connor JD, Van Soest PJ, Fox DG, Russell JB (1992) A net carbohydrate and protein system for evaluating cattle diets. II: Carbohydrate and protein availability. Journal of Animal Science 70, 3562–3577.
PubMed |
open url image1

Tilley JMA, Terry RA (1963) A two-stage technique for the in vitro digestion of forage crops. Journal of the British Grassland Society 18, 104–111. open url image1

Todorov N, Atanassova S, Pavlov D, Grigorova R (1994) Prediction of dry matter and protein degradability of forages by near infrared spectroscopy. Livestock Production Science 39, 89–91.
Crossref | GoogleScholarGoogle Scholar | open url image1

Van Soest, PJ (1994). ‘Nutritional ecology of the ruminant.’ (Cornell University Press: Ithaca, NY)

Van Soest PJ, Robertson JB, Lewis BA (1991) Methods for dietary fibre, and nonstarch polysaccharides in relation to animal nutrition. Journal of Dairy Science 74, 3583–3597.
PubMed |
open url image1

Williams PC, Sobering DC (1993) Comparison of commercial near infrared transmittance and reflectance instruments for analysis of whole grains and seeds. Journal of Near Infrared Spectroscopy 1, 25–32. open url image1