242 related articles for article (PubMed ID: 15446475)
1. Technical note: comparison of Raman, mid, and near infrared spectroscopy for predicting the amino acid content in animal meals.
Qiao Y; van Kempen TA
J Anim Sci; 2004 Sep; 82(9):2596-600. PubMed ID: 15446475
[TBL] [Abstract][Full Text] [Related]
2. Near- versus mid-infrared diffuse reflectance spectroscopy for determination of minerals in dried poultry manure.
Reeves JB
Poult Sci; 2001 Oct; 80(10):1437-43. PubMed ID: 11599702
[TBL] [Abstract][Full Text] [Related]
3. A fecal near-infrared reflectance spectroscopy-aided methodology to determine goat dietary composition in a Mediterranean shrubland.
Glasser T; Landau S; Ungar ED; Perevolotsky A; Dvash L; Muklada H; Kababya D; Walker JW
J Anim Sci; 2008 Jun; 86(6):1345-56. PubMed ID: 18310486
[TBL] [Abstract][Full Text] [Related]
4. Implementation of LOCAL algorithm with near-infrared spectroscopy for compliance assurance in compound feedingstuffs.
Pérez-Marín D; Garrido-Varo A; Guerrero JE
Appl Spectrosc; 2005 Jan; 59(1):69-77. PubMed ID: 15720740
[TBL] [Abstract][Full Text] [Related]
5. Hot topic: application of support vector machine method in prediction of alfalfa protein fractions by near infrared reflectance spectroscopy.
Nie Z; Han J; Liu T; Liu X
J Dairy Sci; 2008 Jun; 91(6):2361-9. PubMed ID: 18487658
[TBL] [Abstract][Full Text] [Related]
6. Prediction of wheat chemical and physical characteristics and nutritive value by near-infrared reflectance spectroscopy.
Owens B; McCann ME; McCracken KJ; Park RS
Br Poult Sci; 2009 Jan; 50(1):103-22. PubMed ID: 19234935
[TBL] [Abstract][Full Text] [Related]
7. Prediction of clean mohair, fiber diameter, vegetable matter, and medullated fiber with near-infrared spectroscopy.
Coleman SW; Lupton CJ; Pfeiffer FA; Minikhiem DL; Hart SP
J Anim Sci; 1999 Oct; 77(10):2594-602. PubMed ID: 10521017
[TBL] [Abstract][Full Text] [Related]
8. Near-infrared reflectance spectroscopy for predicting amino acids content in intact processed animal proteins.
De la Haba MJ; Garrido-Varo A; Guerrero-Ginel JE; Pérez-Marín DC
J Agric Food Chem; 2006 Oct; 54(20):7703-9. PubMed ID: 17002442
[TBL] [Abstract][Full Text] [Related]
9. "Global" and "local" predictions of dairy diet nutritional quality using near infrared reflectance spectroscopy.
Tran H; Salgado P; Tillard E; Dardenne P; Nguyen XT; Lecomte P
J Dairy Sci; 2010 Oct; 93(10):4961-75. PubMed ID: 20855031
[TBL] [Abstract][Full Text] [Related]
10. Use of near infrared reflectance spectroscopy to predict phytate phosphorus, total phosphorus, and crude protein of common poultry feed ingredients.
Aureli R; Ueberschlag Q; Klein F; Noël C; Guggenbuhl P
Poult Sci; 2017 Jan; 96(1):160-168. PubMed ID: 27433015
[TBL] [Abstract][Full Text] [Related]
11. Amino Acid contents in raw materials can be precisely analyzed in a global network of near-infrared spectrometers: collaborative trials prove the positive effects of instrument standardization and repeatability files.
Fontaine J; Hörr J; Schirmer B
J Agric Food Chem; 2004 Feb; 52(4):701-8. PubMed ID: 14969519
[TBL] [Abstract][Full Text] [Related]
12. Near-infrared reflectance spectroscopy prediction of neutral detergent-soluble carbohydrates in timothy and alfalfa.
Nie Z; Tremblay GF; Bélanger G; Berthiaume R; Castonguay Y; Bertrand A; Michaud R; Allard G; Han J
J Dairy Sci; 2009 Apr; 92(4):1702-11. PubMed ID: 19307652
[TBL] [Abstract][Full Text] [Related]
13. Handheld NIRS sensors for routine compound feed quality control: Real time analysis and field monitoring.
Modroño S; Soldado A; Martínez-Fernández A; de la Roza-Delgado B
Talanta; 2017 Jan; 162():597-603. PubMed ID: 27837877
[TBL] [Abstract][Full Text] [Related]
14. Effects of breed, sex, and age on the variation and ability of fecal near-infrared reflectance spectra to predict the composition of goat diets.
Walker JW; Campbell ES; Lupton CJ; Taylor CA; Waldron DF; Landau SY
J Anim Sci; 2007 Feb; 85(2):518-26. PubMed ID: 17235035
[TBL] [Abstract][Full Text] [Related]
15. Utility of near-infrared reflectance spectroscopy to predict nutrient composition and in vitro digestibility of total mixed rations.
Mentink RL; Hoffman PC; Bauman LM
J Dairy Sci; 2006 Jun; 89(6):2320-6. PubMed ID: 16702299
[TBL] [Abstract][Full Text] [Related]
16. Advanced nonlinear approaches for predicting the ingredient composition in compound feedingstuffs by near-infrared reflection spectroscopy.
Pérez-Marín D; Garrido-Varo A; Guerrero JE; Fearn T; Davies AM
Appl Spectrosc; 2008 May; 62(5):536-41. PubMed ID: 18498695
[TBL] [Abstract][Full Text] [Related]
17. Near-infrared reflectance spectroscopy (NIRS) enables the fast and accurate prediction of essential amino acid contents. 2. Results for wheat, barley, corn, triticale, wheat bran/middlings, rice bran, and sorghum.
Fontaine J; Schirmer B; Hörr J
J Agric Food Chem; 2002 Jul; 50(14):3902-11. PubMed ID: 12083857
[TBL] [Abstract][Full Text] [Related]
18. Prediction of digestible energy value of extruded dog food: comparison of methods.
Hervera M; Baucells MD; Torre C; Buj A; Castrillo C
J Anim Physiol Anim Nutr (Berl); 2008 Jun; 92(3):253-9. PubMed ID: 18477305
[TBL] [Abstract][Full Text] [Related]
19. Evaluation of pretreatment strategies for near-infrared spectroscopy calibration development of unground and ground compound feedingstuffs.
Fernández-Cabanás VM; Garrido-Varo A; Pérez-Marín D; Dardenne P
Appl Spectrosc; 2006 Jan; 60(1):17-23. PubMed ID: 16454905
[TBL] [Abstract][Full Text] [Related]
20. Nutritional evaluation of commercial dry dog foods by near infrared reflectance spectroscopy.
Alomar D; Hodgkinson S; Abarzúa D; Fuchslocher R; Alvarado C; Rosales E
J Anim Physiol Anim Nutr (Berl); 2006 Jun; 90(5-6):223-9. PubMed ID: 16684143
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]