Estimating real time individual lysine and threonine requirements in precision-fed pigs
dc.contributor.author | Remus, A. [UNESP] | |
dc.contributor.author | Methot, S. | |
dc.contributor.author | Hauschild, L. [UNESP] | |
dc.contributor.author | Letourneau-Montminy, M. P. | |
dc.contributor.author | Pomar, C. [UNESP] | |
dc.contributor.author | Chizzotti, M. L. | |
dc.contributor.institution | Agr & Agri Food Canada | |
dc.contributor.institution | Universidade Estadual Paulista (Unesp) | |
dc.contributor.institution | Univ Laval | |
dc.date.accessioned | 2021-06-25T11:51:39Z | |
dc.date.available | 2021-06-25T11:51:39Z | |
dc.date.issued | 2019-01-01 | |
dc.description.abstract | This study aimed to estimate independently real-time lysine (Lys) and threonine (Thr) requirements in growing-finishing pigs. Ninety-five pigs were randomly assigned to treatments according to 2x5 factorial arrangement with 2 amino acids (AA; Lys, and Thr) and 5 levels of incorporation (60, 80, 100, 120 and 140% of the estimated requirements) as main factors. Lysine and Thr requirements were estimated daily in real time during a 21-day trial. Data was analyzed using LOESS regression and the surface response methodology. The point of maximum response was obtained through a canonical analysis of the adjusted response surface and was found to be saddle-shaped, possibly due to the variability within AA requirements among individual pigs and thus pointed for several possible optimal Thr/Lys combinations. In conclusion, the non-unique response of the regression model indicates that there is a large between-animal variation in protein deposition (PD) response to Lys and Thr supply. | en |
dc.description.affiliation | Agr & Agri Food Canada, Sherbrooke Res & Dev Ctr, Sherbrooke, PQ J1M 0C8, Canada | |
dc.description.affiliation | Univ Sao Paulo State UNESP, Sch Agr & Veterinarian Sci FCAV, Dept Anim Sci, BR-14883108 Sao Paulo, SP, Brazil | |
dc.description.affiliation | Univ Laval, Dept Sci Anim, Quebec City, PQ G1V 0A6, Canada | |
dc.description.affiliationUnesp | Univ Sao Paulo State UNESP, Sch Agr & Veterinarian Sci FCAV, Dept Anim Sci, BR-14883108 Sao Paulo, SP, Brazil | |
dc.format.extent | 451-452 | |
dc.identifier | http://dx.doi.org/10.3920/978-90-8686-891-9_141 | |
dc.identifier.citation | Energy And Protein Metabolism And Nutrition. Wageningen: Wageningen Acad Publ, v. 138, p. 451-452, 2019. | |
dc.identifier.doi | 10.3920/978-90-8686-891-9_141 | |
dc.identifier.issn | 0071-2477 | |
dc.identifier.uri | http://hdl.handle.net/11449/209210 | |
dc.identifier.wos | WOS:000618163300140 | |
dc.language.iso | eng | |
dc.publisher | Wageningen Acad Publ | |
dc.relation.ispartof | Energy And Protein Metabolism And Nutrition | |
dc.source | Web of Science | |
dc.subject | threonine | |
dc.subject | lysine | |
dc.subject | precision feeding | |
dc.subject | precision livestock farming | |
dc.title | Estimating real time individual lysine and threonine requirements in precision-fed pigs | en |
dc.type | Trabalho apresentado em evento | |
dcterms.rightsHolder | Wageningen Acad Publ |