Definition of animal breeding goals for sustainable production systems.

Olesen, Ingrid; Groen, A.F.; Gjerde, Bjarne

doi:10.2527/2000.783570x

Cited by 143 publications

(141 citation statements)

References 21 publications

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“…In a capitalist society, profitability is a logical unit of expression for the final evaluation of a pig (MacNeil et al, 1997). Modern agriculture has thus shifted from production to productivity and sustainability (Olesen et al, 2000).…”

Section: Introductionmentioning

confidence: 99%

Integrating economic parameters into genetic selection for Large White pigs

Dube

Mulugeta

Dzama

2013

Animal

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The objective of the study was to integrate economic parameters into genetic selection for sow productivity, growth performance and carcass characteristics in South African Large White pigs. Simulation models for sow productivity and terminal production systems were performed based on a hypothetical 100-sow herd, to derive economic values for the economically relevant traits. The traits included in the study were number born alive (NBA), 21-day litter size (D21LS), 21-day litter weight (D21LWT), average daily gain (ADG), feed conversion ratio (FCR), age at slaughter (AGES), dressing percentage (DRESS), lean content (LEAN) and backfat thickness (BFAT). Growth of a pig was described by the Gompertz growth function, while feed intake was derived from the nutrient requirements of pigs at the respective ages. Partial budgeting and partial differentiation of the profit function were used to derive economic values, which were defined as the change in profit per unit genetic change in a given trait. The respective economic values (ZAR) were: 61. 26, 38.02, 210.15, 33.34, 221.81, 268.18, 5.78, 4.69 and 21.48. These economic values indicated the direction and emphases of selection, and were sensitive to changes in feed prices and marketing prices for carcasses and maiden gilts. Economic values for NBA, D21LS, DRESS and LEAN decreased with increasing feed prices, suggesting a point where genetic improvement would be a loss, if feed prices continued to increase. The economic values for DRESS and LEAN increased as the marketing prices for carcasses increased, while the economic value for BFAT was not sensitive to changes in all prices. Reductions in economic values can be counterbalanced by simultaneous increases in marketing prices of carcasses and maiden gilts. Economic values facilitate genetic improvement by translating it to proportionate profitability. Breeders should, however, continually recalculate economic values to place the most appropriate emphases on the respective traits during genetic selection.

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Section: Introductionmentioning

confidence: 99%

Integrating economic parameters into genetic selection for Large White pigs

Dube

Mulugeta

Dzama

2013

Animal

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“…Economic costs of treatments, extra work, extra replacement of sows and loss of carcass value can be calculated. The costs of low pig welfare and possible losses due to consumers' mistrust in pork production are more difficult to predict (Olesen et al, 2000). More weight on traits important for sow welfare included in the genetic evaluation will slow down the progress in production traits (Gourdine et al, 2010), and this cost should also be taken into account.…”

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confidence: 99%

Heritability of shoulder ulcers and genetic correlations with mean piglet weight and sow body condition

Lundgren

Zumbach

Lundeheim

et al. 2012

Animal

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The objective of this paper was to estimate the heritability for shoulder ulcers and the genetic correlations between shoulder ulcers, mean piglet weight and sow body condition. The analyses were based on information on 5549 Norwegian Landrace sows and their 7614 purebred litters. The genetic analysis was performed using the Gibbs sampling method. Shoulder ulcers were analyzed as a threshold trait. Sow body condition and mean piglet weight were analyzed as linear traits. The heritability of shoulder ulcers was estimated at 0.25 (s.d. 5 0.03). The heritability for sow body condition was estimated at 0.14 (s.d. 5 0.02) and that for mean piglet weight at 0.23 (s.d. 5 0.02). The genetic correlation between shoulder ulcers and sow body condition was negative (20.59, s.d. 5 0.09). The genetic correlation between shoulder ulcers and mean piglet weight was positive (0.23, s.d. 5 0.10) and the genetic correlation between sow body condition and mean piglet weight was negative (20.24, s.d. 5 0.10).

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“…Animal performance can be affected by G x E interaction and environmental sensitivity (3,(15)(16)(17) . The accuracy of the selection process depends on adjusting selection criteria to local environment effects (18) .…”

Section: Discussionmentioning

confidence: 99%

Climate Spatialization and Genotype-Environment Interaction Effects on Weaning Weights of Nellore Cattle in Extensive Systems in Tropical Regions of Brazil

Ferreira

Lopes²,

Garcia

et al. 2017

Ciênc. anim. bras.

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Depending on the environmental differences among the regions, the phenotypic expression in beef cattle may significantly vary between the progenies of the same sire, and this is an important rule to identify the best animal. Thus, this study was carried out to spatialize environmental factors that may help to compare and discriminate the states of Maranhão, Pará, and Tocantins and also to check for genotype x environment interaction (G x E interaction) in these regions. The environmental variables analyzed were: maximum temperature; minimum temperature; mean temperature; precipitation; normalized difference vegetation index; relative humidity; altitude; and index of temperature and humidity. Records of weaning weight of Nellore cattle raised on pasture were collected between the years of 1997 and 2007. The dataset was constituted of 21.117 animals, progenies of 161 sires. (Co)variance components and breeding values were estimated using the multiple-trait derivative-free restricted maximum likelihood method. Multivariate spatialization revealed clear distinction among the States of Maranhão, Pará, and Tocantins and allowed the identification of important environmental variables for discrimination. The estimate for direct heritability showed moderate magnitudes and were 0.22±0013, 0.26±0.021, and 0.29±0023, for the 2 Cienc. anim. bras., Goiânia, v.18, 1-13, e-39597, 2017Climate espatialization and genotype-environment interaction effects… States of Maranhão, Pará, and Tocantins, respectively. The estimates of correlation between the breeding values, predicted in different States, as well as the genetic correlation for weaning weight showed that sire ranks changed among the States, indicating G x E interaction. There was a variation of the genetic response of the progeny, depending on the sire and on the State. Thus, the G x E interaction should be accounted for in the genetic evaluation of sires and the performance of Nellore cattle under extensive breeding systems in tropical regions of Brazil.Keywords: animal breeding; canonical correlation; cluster; heritability; Zebu. ResumoA expressão fenotípica pode variar significativamente sob diferenças climáticas e deve ser um motivo de preocupação na identificação e seleção de animais superiores no Brasil. Dessa forma, no presente estudo objetivou-se espacializar fatores ambientais para discriminar os estados do Maranhão (MA), Pará (PA) e Tocantins (TO) e verificar presença de interação genótipo-ambiente (IGA) para peso ao desmame em rebanhos bovinos da raça Nelore localizados nestes Estados. As variáveis ambientais analisadas foram: temperatura máxima; temperatura mínima; temperatura média; precipitação; índice vegetativo normalizado; umidade relativa; altitude e índice de temperatura e umidade. Os registros de peso a desmama de bovinos da raça Nelore criados à pasto foram coletados entre os anos de 1997 e 2007 e o conjunto de dados constituído por 21.117 animais, filhos de 161 touros comuns aos Estados do MA, PA e TO. As estimativas para herdabilidades direta ...

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Definition of animal breeding goals for sustainable production systems.

Cited by 143 publications

References 21 publications

Integrating economic parameters into genetic selection for Large White pigs

Integrating economic parameters into genetic selection for Large White pigs

Heritability of shoulder ulcers and genetic correlations with mean piglet weight and sow body condition

Climate Spatialization and Genotype-Environment Interaction Effects on Weaning Weights of Nellore Cattle in Extensive Systems in Tropical Regions of Brazil

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