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Assessment of the accuracy of NIRS technology to determine the proximal composition and amino acid content of commercial soybean meal samples
Dardabou, L.,1, G. Mateos, L. Aguirre and M. Ibanez
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U.S. Soy Sustainability Assurance Protocol Introduction & Overview
U.S. Soybean Export Council
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The Influence of L-glutamine Supplementation on Measures of Intestinal Permeability, Immune Function, and Physiological Stress in Holstein Heifer Calves
Ceja G., J. Boerman, R. Neves, J. Schoonmaker, M. Jorgensen and J. Johnson
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Effect of protein level and grain damage on carbohydrate, crude protein, amino acids, and trypsin inhibitor content of soybeans
Alfaro-Wisaquillo, M., G. Quintana-Ospina, M. Ali, E. Oviedo-Rondon, K. Englyst and G. Gomes
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Chemical composition, protein quality, and in vitro protein digestibility of commercial soybean meals from different origins
Aguirre, L., A. Smith, J. Arroyo, A. de Juan1, G. Fondevila, H. Kadardar, G. Mateos and L. Camara
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Correlation between data on proximal composition, protein quality indicators, and amino acid profile of commercial samples of soybean meals analyzed by wet chemistry or estimated by NIRS technology
Dardabou, L., H. Kadardar, L. Camara and G. Mateos
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Influence of the origin of the beans on the chemical composition, particle size distribution, and color of soybean meal
Kadardar, H., L. Aguirre, G. Fondevila, M. Elkissi, G. Mateos and L. Camara
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Understanding factors that affect soybean meal quality
Ali, M., G. Quintana-Ospina, M. Alfaro-Wisaquillo, D. Patino, M. Joseph, R. Vann and E. Oviedo-Rondon
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Historical trend on seed amino acid concentration does not follow protein changes in soybeans
Reis, A., S. Tamagno, Luiz. Rosso, O. Ortez, S. Naeve and Ciampitti