Articles producció científica> Química Analítica i Química Orgànica

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

  • Identification data

    Identifier: imarina:9242286
    Handle: http://hdl.handle.net/20.500.11797/imarina9242286
  • Authors:

    Cruz-Conesa A
    Ferré J
    Pérez-Vendrell AM
    Callao MP
    Ruisánchez I
  • Others:

    Author, as appears in the article.: Cruz-Conesa A; Ferré J; Pérez-Vendrell AM; Callao MP; Ruisánchez I
    Department: Química Analítica i Química Orgànica
    URV's Author/s: Callao Lasmarias, María Pilar / Ferré Baldrich, Joan / Ruisanchez Capelastegui, María Iciar
    Keywords: 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
    Abstract: 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.
    Thematic Areas: 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
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: itziar.ruisanchez@urv.cat joan.ferre@urv.cat mariapilar.callao@urv.cat
    Author identifier: 0000-0002-7097-3583 0000-0001-6240-413X 0000-0003-2691-329X
    Record's date: 2023-02-19
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://www.sciencedirect.com/science/article/pii/S0377840121003552
    Licence document URL: http://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Animal Feed Science And Technology. 283 115169-
    APA: Cruz-Conesa A; Ferré J; Pérez-Vendrell AM; Callao MP; Ruisánchez I (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
    Article's DOI: 10.1016/j.anifeedsci.2021.115169
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2022
    Publication Type: Journal Publications
  • Keywords:

    Agriculture, Dairy & Animal Science,Animal Science and Zoology
    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
    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
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