Mostrar el registro sencillo del ítem
dc.contributor.author
Bonamy, Martin
dc.contributor.author
de Iraola, Julieta Josefina
dc.contributor.author
Prando, Alberto José
dc.contributor.author
Baldo, Andres
dc.contributor.author
Giovambattista, Guillermo
dc.contributor.author
Rogberg Muñoz, Andres
dc.date.available
2020-05-27T18:50:55Z
dc.date.issued
2019-10
dc.identifier.citation
Bonamy, Martin; de Iraola, Julieta Josefina; Prando, Alberto José; Baldo, Andres; Giovambattista, Guillermo; et al.; Application of longitudinal data analysis allows to detect differences in pre‐breeding growing curves of 24‐month calving Angus heifers under two pasture‐based system with differential puberty onset; John Wiley & Sons Ltd; Journal of the Science of Food and Agriculture; 100; 2; 10-2019; 714-720
dc.identifier.issn
0022-5142
dc.identifier.uri
http://hdl.handle.net/11336/106043
dc.description.abstract
Background. Longitudinal data analysis contributes to detect differences in the growing curve by exploiting all the information involved in repeated measurements, allowing to distinguish changes over time within individuals, from differences in the baseline levels among groups. In this research longitudinal and cross-sectional analysis were compared to evaluate differences in growth in Angus heifers under two different grazing conditions, ad libitum (AG) and controlled (CG) to gain 0.5 kg/day. Results. Longitudinal mixed models show differences in growing curves parameters between grazing conditions, that were not detected by cross sectional analysis. Differences (P < 0.05) in first derivative of growth curves (daily gain) until 289 days were observed between treatments, being AG higher than CG. Correspondingly, pubertal heifer proportion was also higher in AG at the end of rearing (AG 0.94; CG 0.67). Conclusion. In longitudinal studies, the power to detect differences between groups increases by exploiting the whole information of repeated measures, modelling the relation between measurements performed on the same individual. Under a proper analysis valid conclusion can be drawn with less animals in the trial, improving animal welfare and reducing investigation costs.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
John Wiley & Sons Ltd
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.subject
PUBERTY
dc.subject
HEIFER
dc.subject
GRAZING
dc.subject
REARING
dc.subject
GROWTH
dc.subject
LONGITUDINAL DATA
dc.subject.classification
Otras Ciencias Veterinarias
dc.subject.classification
Ciencias Veterinarias
dc.subject.classification
CIENCIAS AGRÍCOLAS
dc.title
Application of longitudinal data analysis allows to detect differences in pre‐breeding growing curves of 24‐month calving Angus heifers under two pasture‐based system with differential puberty onset
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2020-04-22T15:27:51Z
dc.journal.volume
100
dc.journal.number
2
dc.journal.pagination
714-720
dc.journal.pais
Reino Unido
dc.journal.ciudad
Londres
dc.description.fil
Fil: Bonamy, Martin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico CONICET- La Plata. Instituto de Genética Veterinaria "Ing. Fernando Noel Dulout". Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Instituto de Genética Veterinaria; Argentina
dc.description.fil
Fil: de Iraola, Julieta Josefina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico CONICET- La Plata. Instituto de Genética Veterinaria "Ing. Fernando Noel Dulout". Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Instituto de Genética Veterinaria; Argentina
dc.description.fil
Fil: Prando, Alberto José. Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias; Argentina
dc.description.fil
Fil: Baldo, Andres. Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias; Argentina
dc.description.fil
Fil: Giovambattista, Guillermo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico CONICET- La Plata. Instituto de Genética Veterinaria "Ing. Fernando Noel Dulout". Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Instituto de Genética Veterinaria; Argentina
dc.description.fil
Fil: Rogberg Muñoz, Andres. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Animal; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico CONICET- La Plata. Instituto de Genética Veterinaria "Ing. Fernando Noel Dulout". Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Instituto de Genética Veterinaria; Argentina
dc.journal.title
Journal of the Science of Food and Agriculture
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1002/jsfa.10072
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1002/jsfa.10072
Archivos asociados