Articles producció científicaQuímica Analítica i Química Orgànica

Use of visible-near infrared spectroscopy to predict nutrient composition of poultry excreta

  • Datos identificativos

    Identificador:  imarina:9242286
    Autores:  Cruz-Conesa, Andres; Ferre, Joan; Perez-Vendrell, Anna M; Callao, M Pilar; Ruisanchez, Itziar
    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.
  • Otros:

    Enlace a la fuente original: https://www.sciencedirect.com/science/article/pii/S0377840121003552
    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(), 115169-115169. DOI: 10.1016/j.anifeedsci.2021.115169
    Referencia al articulo segun fuente origial: Animal Feed Science And Technology. 283 115169-115169
    DOI del artículo: 10.1016/j.anifeedsci.2021.115169
    Año de publicación de la revista: 2022
    Entidad: Universitat Rovira i Virgili
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Fecha de alta del registro: 2024-11-23
    Autor/es de la URV: Callao Lasmarias, María Pilar / CRUZ CONESA, ANDRES / Ferré Baldrich, Joan / Ruisánchez Capelastegui, María Iciar
    Departamento: Química Analítica i Química Orgànica
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Tipo de publicación: Journal Publications
    Autor según el artículo: Cruz-Conesa, Andres; Ferre, Joan; Perez-Vendrell, Anna M; Callao, M Pilar; Ruisanchez, Itziar
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    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
    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
  • Palabras clave:

    Vis-nir spectroscopy
    Specific calibrations
    Reflectance spectroscopy
    Poultry excreta
    Nutrient content
    Global calibrations
    Affordable and clean energy
    phytate phosphorus
    energy
    chemical-composition
    age
    Agriculture
    Dairy & Animal Science
    Animal Science and Zoology
    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
    Administração pública e de empresas
    ciências contábeis e turismo
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