Corrections to prediction of backfat thickness and relationships among model parameters in INRAPORC®

dc.creatorMagagnin, Sebastião Ferreira
dc.creatorHauptli, Lucélia
dc.creatorWarpechowski, Marson Bruck
dc.date2022-12-22T16:18:28Z
dc.date2022-12-22T16:18:28Z
dc.date2020-11-10
dc.date.accessioned2023-09-27T20:59:42Z
dc.date.available2023-09-27T20:59:42Z
dc.identifierMagagnin, S. F.; Hauptli, L. and Warpechowski, M. B. 2020. Corrections to prediction of backfat thickness and relationships among model parameters in INRAPORC®. Revista Brasileira de Zootecnia 49:e20190177
dc.identifier1806-9290
dc.identifierhttps://locus.ufv.br//handle/123456789/30356
dc.identifierhttps://doi.org/10.37496/rbz4920190177
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8952429
dc.descriptionWe evaluated whether the procedure for correcting backfat thickness (BT) equation coefficients and lipid mass (LM) initial values in animal profiles, as well as actual model parameter (MP) data and their interrelationships, could reduce errors in predicting body weight (BW) and BT in pigs reared in Southern Brazil. Because different combinations of actual and estimated MP values in advanced system calibration mode (ACM) give rise to distinct calibration procedures, their BT and BW prediction errors were compared with those obtained by INRAPORC® default mode calibration based on different parameter combinations. Correlations among MP were also verified. The BT prediction correction (BTcor) procedure reduced the BT standard deviation of the estimate (σ) from 3.25 to 2.42 mm, but the correction had no effect on BW. Actual BT and feed intake data at 50 kg BW (FI50), reported in ACM, reduced prediction errors of BW and BT, in which their σ values were reduced from 5.29 to <4.08 kg and 2.42 to <2.12 mm, respectively. Mean protein deposition (MeanPD), FI50, and feed intake at 100 kg BW (FI100) were strongly and positively correlated (r>0.98). In addition, initial BW (BWi) was strongly negatively correlated with these parameters (r<‒0.87) but positively correlated with the maintenance adjustment factor (MAINT) (r = 0.75). The inclusion of actual or default MP values in the ACM strongly influenced the estimation of other values, as well the predicted outcomes for BW and BT. The BTcor procedure and the input of actual or default MP values into the ACM of INRAPORC® is justified to reduce prediction errors, as it yields considerably greater accuracy in a pig nutritional adjustment system
dc.formatapplication/pdf
dc.languageeng
dc.publisherBrazilian Journal of Animal Science
dc.relationR. Bras. Zootec., 49:e20190177, 2020
dc.rightsCreative Commons Attribution License
dc.subjectbackfat thickness
dc.subjectcalibration procedures
dc.subjectlipid correction
dc.subjectnutritional modeling
dc.subjectswine
dc.titleCorrections to prediction of backfat thickness and relationships among model parameters in INRAPORC®
dc.typeArtigo


Este ítem pertenece a la siguiente institución