02447naa a2200277 a 450000100080000000500110000800800410001902400480006010000180010824501020012626000090022850000480023752015920028565000200187765000160189765000230191365000180193665000210195470000250197570000230200070000190202370000230204270000220206570000220208777300600210921335342021-08-13       2021    bl uuuu     u00u1 u    #d7 ahttps://doi.org/10.37496/rbz50202002642DOI1 aPORTES, J, V.  aSelection indexes for nellore production system in the Brazilian Pantanal.h[electronic resource]  c2021  aAnimal production systems and agribusiness.  aThe objective was to develop selection indexes for Nellore cattle raised in full-cycle production system in the Brazilian Pantanal. The resulting offspring are retained as replacements or sold at two years of age. Preliminary analyses explored effects of scale on economic values (EV). However, given the available data, these effects were very small. Presented herein are results from a simulated system consisting of 5,000 cows with all animals maintained on pasture as is typical in Pantanal. The EV were determined by approximating the partial derivatives of the profit function, changing one trait at a time, by one unit, while keeping the other traits constant. Traits in the breeding objective were mature cow weight, direct and maternal weaning weight, postweaning average daily gain, subcutaneous fat depth, longissimus muscle area, and stayability. Economic values were calculated on the basis of number of animals (per head), number of animal units, and arroba of carcasss weight. Regardless of the basis, maternal weaning weight and subcutaneous fat depth made negligible contributions to the breeding objective. Proportions of variation in the breeding objectives (per head, per animal unit, per arroba) explained by cow weight, direct weaning weight, postweaning average daily gain, stayability, and longissimus muscle area were: 13, 13, 17; 6, 1, 5; 3, 3, 4; 67, 67, 61; and 11, 17, 13, respectively. These indexes may aid Nellore breeders in their selection decisions, thus facilitating the genetic progress and increased productivity and profitability of Pantanal herds.  aAnimal genetics  aBeef cattle  aBioeconomic models  aGado de Corte  aGenética Animal1 aMENEZES, G. R. de O.1 aSILVA, L. O. C. da1 aMACNEIL, M. D.1 aABREU, U. G. P. de1 aLACERDA, V. V. de1 aBRACCINI NETO, J.  tRevista Brasileira de Zootecniagv.50, e20200264, 2021.