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

Autor: Sebastião Ferreira Magagnin, Lucélia Hauptli, Marson Bruck Warpechowski
Jazyk: English<br />Spanish; Castilian<br />Portuguese
Rok vydání: 2020
Předmět:
Zdroj: Revista Brasileira de Zootecnia, Vol 49 (2020)
Druh dokumentu: article
ISSN: 1806-9290
DOI: 10.37496/rbz4920190177
Popis: ABSTRACT We 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 0.98). In addition, initial BW (BWi) was strongly negatively correlated with these parameters (r
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