. . "For lean meat measuring there are used probes based on indirect measuring back fat as well as loin eye area depth (reflectance, optical or ultrasound). Unless the indirect measure is related perfectly, the predicted values deviate from the true value because there are various measurement techniques and skills. To manage these deviations, repetitions and statistical analysis can be used. From this point of the view the aim of the trial was to determine the reproducibility of the classification methods FOM/ZP used in abbatoirs in the Czech Republic. Equation for lean meat prediction (where M = depth-muscle; S = depth-fat) were for FOM y = 81.8909 + 0.2006 * M + 14.1911 * ln S, ZP y = 76.6722 \u2013 1.0485 * M + 0.00794 * M2 \u2013 0.002884 * S2 + 9.0151 * ln (M/S). The trial has been done without respect to equipment (differences between FOM/ZP) as well as with respect to equipment in one abbatoir where 2 groups of 60 pigs were measured by use of ZP, 2 FOMs\u00B4 apparatus and by 2 operators. On the base of"@en . "Reproducibility of the classification method in the Czech Republic"@en . "2006-09-17+02:00"^^ . "Reproducibility of the classification method in the Czech Republic" . "\u0160tolc, Ladislav" . "Book of Abstracts of the 57th Annual Meeting of the European Association for Animal Production" . . . "Opakovatelnost klasifika\u010Dn\u00ED metody v \u010Cesk\u00E9 republice"@cs . "Reproducibility of the classification method in the Czech Republic" . . "[35AA054D67F3]" . . "For lean meat measuring there are used probes based on indirect measuring back fat as well as loin eye area depth (reflectance, optical or ultrasound). Unless the indirect measure is related perfectly, the predicted values deviate from the true value because there are various measurement techniques and skills. To manage these deviations, repetitions and statistical analysis can be used. From this point of the view the aim of the trial was to determine the reproducibility of the classification methods FOM/ZP used in abbatoirs in the Czech Republic. Equation for lean meat prediction (where M = depth-muscle; S = depth-fat) were for FOM y = 81.8909 + 0.2006 * M + 14.1911 * ln S, ZP y = 76.6722 \u2013 1.0485 * M + 0.00794 * M2 \u2013 0.002884 * S2 + 9.0151 * ln (M/S). The trial has been done without respect to equipment (differences between FOM/ZP) as well as with respect to equipment in one abbatoir where 2 groups of 60 pigs were measured by use of ZP, 2 FOMs\u00B4 apparatus and by 2 operators. On the base of"@cs . "Opakovatelnost klasifika\u010Dn\u00ED metody v \u010Cesk\u00E9 republice"@cs . "41210" . "RIV/60460709:41210/06:16518" . . . . "1"^^ . . . "1382-6077" . . "Stupka, Roman" . . . "\u0160prysl, Michal" . "EAAP, Antalya, Turkey" . . "497283" . . . "4"^^ . "EAAP, Antalya, Turkey" . "EAAP, Antalya, Turkey" . "4"^^ . . "Neuvedeno, 0" . . . "pig,realization,reproducibility,equipment,FOM,ZP"@en . "Reproducibility of the classification method in the Czech Republic"@en . . "For lean meat measuring there are used probes based on indirect measuring back fat as well as loin eye area depth (reflectance, optical or ultrasound). Unless the indirect measure is related perfectly, the predicted values deviate from the true value because there are various measurement techniques and skills. To manage these deviations, repetitions and statistical analysis can be used. From this point of the view the aim of the trial was to determine the reproducibility of the classification methods FOM/ZP used in abbatoirs in the Czech Republic. Equation for lean meat prediction (where M = depth-muscle; S = depth-fat) were for FOM y = 81.8909 + 0.2006 * M + 14.1911 * ln S, ZP y = 76.6722 \u2013 1.0485 * M + 0.00794 * M2 \u2013 0.002884 * S2 + 9.0151 * ln (M/S). The trial has been done without respect to equipment (differences between FOM/ZP) as well as with respect to equipment in one abbatoir where 2 groups of 60 pigs were measured by use of ZP, 2 FOMs\u00B4 apparatus and by 2 operators. On the base of" . "RIV/60460709:41210/06:16518!RIV07-MSM-41210___" . . "Z(MSM6046070901)" . "\u010C\u00EDtek, Jaroslav" . "237;237" .