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Results 1 to 25 of 107

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Potential of near infrared spectroscopy to predict the voluntary intake of grazed grassAGNEW, R. E; PARK, R. S; MAYNE, C. S et al.Animal feed science and technology. 2004, Vol 115, Num 1-2, pp 169-178, issn 0377-8401, 10 p.Article

Determination of non-starch polysaccharides in cereal grains with near-infared reflectance spectroscopyBLAKENEY, Anthony B; FLINN, Peter C.Molecular nutrition & food research (Print). 2005, Vol 49, Num 6, pp 546-550, issn 1613-4125, 5 p.Article

Specific functional signature in soil macro-invertebrate biostructuresHEDDE, M; LAVELLE, P; JOFFRE, R et al.Functional ecology (Print). 2005, Vol 19, Num 5, pp 785-793, issn 0269-8463, 9 p.Article

Using reflectance spectroscopy to predict beef tendernessBOWLING, M. B; VOTE, D. J; BELK, K. E et al.Meat science. 2009, Vol 82, Num 1, pp 1-5, issn 0309-1740, 5 p.Article

Quantification of Kavalactones and Determination of Kava (Piper methysticum) Chemotypes Using Near-Infrared Reflectance Spectroscopy for Quality Control in VanuatuLASME, Privat; DAVRIEUX, Fabrice; MONTET, Didier et al.Journal of agricultural and food chemistry (Print). 2008, Vol 56, Num 13, pp 4976-4981, issn 0021-8561, 6 p.Article

Using near infrared reflectance spectroscopy (NIRS) to predict the biological parameters of maize silageLOVETT, D. K; DEAVILLE, E. R; MOULD, F et al.Animal feed science and technology. 2004, Vol 115, Num 1-2, pp 179-187, issn 0377-8401, 9 p.Article

Detecting and quantifying meat meal or meat and bone meal contamination in fishmeal by visible and near infrared reflectance spectraZENGLING YANG; LUJIA HAN; XIAN LIU et al.Animal feed science and technology. 2008, Vol 147, Num 4, pp 357-367, issn 0377-8401, 11 p.Article

On-line application of visible and near infrared reflectance spectroscopy to predict chemical―physical and sensory characteristics of beef qualityPRIETO, N; ROSS, D. W; NAVAJAS, E. A et al.Meat science. 2009, Vol 83, Num 1, pp 96-103, issn 0309-1740, 8 p.Article

Hot Topic : Application of Support Vector Machine Method in Prediction of Alfalfa Protein Fractions by Near Infrared Reflectance SpectroscopyNIE, Z; HAN, J; LIU, T et al.Journal of dairy science. 2008, Vol 91, Num 6, pp 2361-2369, issn 0022-0302, 9 p.Article

Adaptability of four-samples sensory tests and prediction of visual and near-infrared reflectance spectroscopy for Chinese indica riceLU QINGYUN; CHEN YEMING; MIKAMI, Takashi et al.Journal of food engineering. 2007, Vol 79, Num 4, pp 1445-1451, issn 0260-8774, 7 p.Article

Comparison of near and medium infrared spectroscopy to predict fatty acid composition on fresh and thawed milkCOPPA, Mauro; REVELLO-CHION, Andrea; GIACCONE, Daniele et al.Food chemistry. 2014, Vol 150, pp 49-57, issn 0308-8146, 9 p.Article

Determination of fatty acids in broiler breast meat by near-infrared reflectance spectroscopyZHOU, L. J; WU, H; LI, J. T et al.Meat science. 2012, Vol 90, Num 3, pp 658-664, issn 0309-1740, 7 p.Article

Global and local predictions of dairy diet nutritional quality using near infrared reflectance spectroscopyTRAN, H; SALGADO, P; TILLARD, E et al.Journal of dairy science. 2010, Vol 93, Num 10, pp 4961-4975, issn 0022-0302, 15 p.Article

Near-infrared reflectance spectroscopy prediction of neutral detergent-soluble carbohydrates in timothy and alfalfaNIE, Z; TREMBLAY, G. F; BELANGER, G et al.Journal of dairy science. 2009, Vol 92, Num 4, pp 1702-1711, issn 0022-0302, 10 p.Article

The use of visible and near infrared reflectance spectroscopy to predict beef M. longissimus thoracis et lumborum quality attributesANDRES, S; SILVA, A; SOARES-PEREIRA, A. L et al.Meat science. 2008, Vol 78, Num 3, pp 217-224, issn 0309-1740, 8 p.Article

The application of Near-Infrared Reflectance Spectroscopy (NIRS) to detect melamine adulteration of soya bean mealHAUGHEY, Simon A; GRAHAM, Stewart F; CANCOUËT, Emmanuelle et al.Food chemistry. 2013, Vol 136, Num 3-4, pp 1557-1561, issn 0308-8146, 5 p.Conference Paper

Near-Infrared Reflectance Spectroscopy for the analysis of water and total nitrogen contents in poultry litterTASISTRO, A. S; SHAABAN, S; KISSEL, D. E et al.Communications in soil science and plant analysis. 2003, Vol 34, Num 9-10, pp 1367-1379, issn 0010-3624, 13 p.Article

Prediction of the amino acid composition in brown rice using different sample status by near-infrared reflectance spectroscopyZHANG, B; RONG, Z. Q; SHI, Y et al.Food chemistry. 2011, Vol 127, Num 1, pp 275-281, issn 0308-8146, 7 p.Article

Determination of potential denitrification in a range of tropical topsoils using near infrared reflectance spectroscopy (NIRS)BARTHES, Bernard G; BRUNET, Didier; BRAUMAN, Alain et al.Applied soil ecology (Print). 2010, Vol 46, Num 1, pp 81-89, issn 0929-1393, 9 p.Article

Comparison of fecal crude protein and fecal near-infrared reflectance spectroscopy to predict digestibility of fresh grass consumed by sheepFANCHONE, A; ARCHIMEDE, H; BOVAL, M et al.Journal of animal science. 2009, Vol 87, Num 1, pp 236-243, issn 0021-8812, 8 p.Article

Calibration model optimization for rice cooking characteristics by near infrared reflectance spectroscopy (NIRS)WU, J. G; SHI, C. H.Food chemistry. 2007, Vol 103, Num 3, pp 1054-1061, issn 0308-8146, 8 p.Article

Prediction of sweetpotato starch physiochemical quality and pasting properties using near-infrared reflectance spectroscopyGUOQUAN LU; HUAHONG HUANG; DAPENG ZHANG et al.Food chemistry. 2006, Vol 94, Num 4, pp 632-639, issn 0308-8146, 8 p.Article

Quantifying species composition in root mixtures using two methods : near-infrared reflectance spectroscopy and plant wax markersROUMET, Catherine; PICON-COCHARD, Catherine; DAWSON, Lorna A et al.New phytologist. 2006, Vol 170, Num 3, pp 631-638, issn 0028-646X, 8 p.Article

Determination of water-soluble and total extractable polyphenolics in biomass, necromass and decomposing plant material using near-infrared reflectance spectroscopy (NIRS)COUTEAUX, Marie-Madeleine; SARMIENTO, Lina; HERVE, Dominique et al.Soil biology & biochemistry. 2005, Vol 37, Num 4, pp 795-799, issn 0038-0717, 5 p.Article

Classification of geographical origins and prediction of δ13C and δ15N values of lamb meat by near infrared reflectance spectroscopySHUMIN SUN; BOLI GUO; YIMIN WEI et al.Food chemistry. 2012, Vol 135, Num 2, pp 508-514, issn 0308-8146, 7 p.Article

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