Autor según el artículo: Cruz-Conesa, Andres; Ferre, Joan; Perez-Vendrell, Anna M; Callao, M Pilar; Ruisanchez, Itziar
Departamento: Química Analítica i Química Orgànica
Autor/es de la URV: Callao Lasmarias, María Pilar / CRUZ CONESA, ANDRES / Ferré Baldrich, Joan / Ruisánchez Capelastegui, María Iciar
Palabras clave: Vis-nir spectroscopy Specific calibrations Reflectance spectroscopy Poultry excreta Nutrient content Global calibrations vis-nir spectroscopy specific calibrations phytate phosphorus nutrient content global calibrations energy chemical-composition age
Resumen: Nowadays optimal feed formulation for poultry is sought for available content, which takes into account how the nutrients are digested and metabolized by the animal. The digestibility coefficients of the nutrients are usually obtained in in vivo trials that require feeding the birds with different diets of well-known composition and analyzing a large number of excreta samples. Nutrient excreta composition is usually found by wet analytical methods. This work presents visible-near infrared (Vis-NIR) calibrations for organic matter, protein, fat, gross energy, uric acid and phosphorus in excreta from bioassays involving broiler chickens, laying hens and broiler turkeys carried out between 2017 and 2020. The Vis-NIR spectra (400–2499.5 nm) were pretreated by generalized least squares weighting (GLSW) and partial least squares regression (PLSR) was used to obtain the prediction models. The six parameters were properly predicted with the values of ratio of performance of deviation (RPD) and coefficient of determination of prediction (R2p) of the validation set ranging from 3.7 to 4.6 and from 0.91 to 0.95 respectively. All but one of the calibrations passed the statistical tests for fit for purpose described in ISO 12099:2017. Despite the global calibrations provided satisfactory results, specific calibrations for broiler chicken excreta and for laying hen excreta were developed to check if their predictions could be even better but the results did not improve. Finally, the root mean square error of prediction (RMSEP) of the global calibrations was compared with the standard error of the reference methods employed for the analysis of these parameters, confirming their high performance and direct applicability. © 2021 Elsevier B.V.
Áreas temáticas: Zootecnia / recursos pesqueiros Química Medicina veterinaria Medicina ii Interdisciplinar Farmacia Ensino Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência de alimentos Biotecnología Biodiversidade Animal science and zoology Agriculture, dairy & animal science Administração pública e de empresas, ciências contábeis e turismo
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
Direcció de correo del autor: mariapilar.callao@urv.cat andres.cruz@estudiants.urv.cat andres.cruz@estudiants.urv.cat joan.ferre@urv.cat itziar.ruisanchez@urv.cat
Identificador del autor: 0000-0003-2691-329X 0000-0002-1565-0992 0000-0002-1565-0992 0000-0001-6240-413X 0000-0002-7097-3583
Fecha de alta del registro: 2024-10-12
Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
Enlace a la fuente original: https://www.sciencedirect.com/science/article/pii/S0377840121003552
URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
Referencia al articulo segun fuente origial: Animal Feed Science And Technology. 283 115169-
Referencia de l'ítem segons les normes APA: Cruz-Conesa, Andres; Ferre, Joan; Perez-Vendrell, Anna M; Callao, M Pilar; Ruisanchez, Itziar (2022). Use of visible-near infrared spectroscopy to predict nutrient composition of poultry excreta. Animal Feed Science And Technology, 283(), 115169-. DOI: 10.1016/j.anifeedsci.2021.115169
DOI del artículo: 10.1016/j.anifeedsci.2021.115169
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2022
Tipo de publicación: Journal Publications