Bibliographic citations
Garcia, M., (2021). Aplicación del método NIRS cercano para evaluar los parámetros de calidad nutricional de Zea mayz L. (maíz) utilizado para alimento balanceado de aves [Universidad Nacional de San Martín. Fondo Editorial]. http://hdl.handle.net/11458/4160
Garcia, M., Aplicación del método NIRS cercano para evaluar los parámetros de calidad nutricional de Zea mayz L. (maíz) utilizado para alimento balanceado de aves []. PE: Universidad Nacional de San Martín. Fondo Editorial; 2021. http://hdl.handle.net/11458/4160
@misc{renati/1056138,
title = "Aplicación del método NIRS cercano para evaluar los parámetros de calidad nutricional de Zea mayz L. (maíz) utilizado para alimento balanceado de aves",
author = "Garcia Mendoza, Maria Del Carmen",
publisher = "Universidad Nacional de San Martín. Fondo Editorial",
year = "2021"
}
Hard yellow corn kernels have been widely consumed in the San Martin region since colonial times. In this context, it is necessary to characterize large quantities of seeds in a short time and with reliable methods. The objective of this work was to evaluate the nutritional quality parameters of imported (Zea mays) hard yellow corn (American and Argentinian) as well as the local varieties (Picota, Sisa and Bellavista), used for balanced feed by means of the calibrated NIRS method, in order to predict the nutritional content of the corn; evaluating grain and flour readings. Near infrared transmittance spectroscopy (NIRS) was used. A total of 120 maize accessions from the USA, Argentina and the San Martin region were used. Once the corn was cleaned, the samples were milled and NIRS readings were taken for the nutritional composition of the flours, such as moisture, crude protein with its respective amino acid content, ethereal extract, ash, nitrogen free extract, neutral detergent fiber, acid detergent fiber, gross energy and in vitro digestibility, respectively. The analyses showed that there is no significant difference between the content of nutrients and amino acids evaluated in the imported and domestic corn samples. Absorbance spectra were obtained in the wavelength range of 900 - 2500 nm. It is concluded that, with the high number of samples used in this study, the high predictive capacity for most of the established parameters and the robustness of the calibration equations obtained, the NIRS technique proves to be useful and fast to predict the nutritional composition of hard yellow corn used as an ingredient for the balanced feed by the company Don Pollo Tropical SAC. Picota-San Martín.
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