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• W2287366989 abstract "The optimal design of a pig improvement programme requires the choice of an appropriate breeding objective and relevant economic values for objective traits, the choice of selection criteria and consequent genetic and phenotypic parameters, determination of selection indices and predicted genetic gains, and choice of an appropriate population structure. A computer model simulating life cycle production of a breeding sow and growth performance of her offspring was developed to estimate economic values (EV's) of reproduction and growth performance traits. A biological growth model simulating the digestion and metabolism of dietary energy and nitrogen in growing pigs, based on the linear/plateau relationship between daily protein deposition and digestible energy intake, was part of the life cycle model. The upper limit to body protein deposition rate (Pd max), mean daily ad libitum digestible energy intake (DEi) and minimum lipid to protein deposition ratio (R min) were assumed the major genetic determinants of pig growth. EV's were calculated per gilt life cycle by simulating effects of genetic changes in several biological components, in a farrow-to-finish production system, assuming ad libitum feeding. For unimproved genotypes (Pd max, 30 MJ/day, R min ≥ 1), the EV of 1 g/day improvement in Pd max ranged from $12 to $22, DEi EV's ranged from $-20 to $-123 per 1 MJ/day increase, and EV's below $-500 were found per one unit increase in R min. EV's for number born alive/litter (NBA) were below $12 per extra pig. For improved genotypes, EV's for Pd max had values below $14 per unit increase and became zero at high Pd max levels exceeding 180 g/day, when full expression of Pd max was restricted by insufficient digestible energy intakes. The DEi EV's for improved genotypes with insufficient amounts of metabolisable energy became positive. Improved genotypes had high EV's for NBA, exceeding $70 per 1 extra pig. Relatively low negative EV's were found for one unit increase in other reproduction traits: gilt age at first oestrus, interval weaning-oestrus, and pre-weaning mortality percentage. Results demonstrated EV's of traits depended on the average genetic merit in the pig herd and its interaction with the management circumstances (level of feeding, nature of the diet, life cycle length) of the production system. Multivariate animal models and Restricted Maximum Likelihood (REML) methods were used to estimate (co)variance components, heritabilities, genetic correlations and common environmental effects of reproduction and growth performance traits for on-farm tested Large White, Landrace and Duroc pigs. Best Linear Unbiased Prediction (BLUP) methods were applied for breeding value estimation allowing determination of genetic, environmental and phenotypic trends in the studied populations. The annual realised genetic gains ranged from 2.1 to 4.3 g/day for average daily gain (ADG) and -0.2 to -0.3 mm for ultrasonically-measured backfat thickness (BF). The realised genetic trends in ADG and BF compared…" @default.
• W2287366989 created "2016-06-24" @default.
• W2287366989 creator A5088144848 @default.
• W2287366989 date "2011-01-01" @default.
• W2287366989 modified "2023-09-26" @default.
• W2287366989 title "Breeding objectives and genetic evaluation to improve pig farm profitability" @default.
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