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Titolo: SELECTION OF FARMANIMALS FOR NONLINEAR TRAITS AND PROFIT
Autore: MEUWISSEN THE; GODDARD ME;
 Indirizzi:
 UNIV NEW ENGLAND,ANIM GENET & BREEDING UNIT ARMIDALE NSW AUSTRALIA
 Titolo Testata:
 Animal Science
,
volume: 65,
anno: 1997,
parte:, 1
pagine: 1  8
 SICI:
 13577298(1997)65:<1:SOFFNT>2.0.ZU;2N
 Fonte:
 ISI
 Lingua:
 ENG
 Soggetto:
 NONLINEAR PROFIT; INDEXES;
 Keywords:
 FARM ANIMALS; NONLINEAR TRAITS; PROFITS; SELECTION;
 Tipo documento:
 Article
 Natura:
 Periodico
 Settore Disciplinare:
 Science Citation Index Expanded
 Science Citation Index Expanded
 Citazioni:
 12
 Recensione:
 Indirizzi per estratti:



 Citazione:
 T.H.E. Meuwissen e M.E. Goddard, "SELECTION OF FARMANIMALS FOR NONLINEAR TRAITS AND PROFIT", Animal Science, 65, 1997, pp. 18
Abstract
According to animal breeding theory, profit after, say, 10 generations of selection is maximized when the usually nonlinear profit function is approximated by a linear breeding goal where the linearization isat the population mean in generation 10 and the linear breeding goal is subsequently predicted by a linear index for which the animals are selected. The prediction of the population mean at generation 10 requires linear relationships among the traits that constitute the nonlinear profit, because otherwise this prediction becomes very complicated. A nonlinear index is proposed that simply estimates the nonlinear goal H = f(u) by (H) over cap = f((u) over cap), where u = vector of genetic values for the traits and (u) over cap is its (BLUP) estimate. This nonlinear index does not require predictions of (future) population means and does not require linearly related traits. To test these indices a simple meat production example was constructed where the nonlinearity between the traits was clue to the competition between weight and probability of survival for the same resources from food intake. In the model selection for weight and, in particular, for weight overcosts (mainly food) led to reduced profits due to large reductions ofsurvival rates. Although, the example was oversimplified, this shouldprovide a warning for the use of oversimplified breeding goals, e.g. fitness traits may reduce by more than expected from base population genetic parameters. When probability of survival and weight were measured, a nonlinear index of these nonlinear traits gave the greatest generic gains. Failure to update genetic parameters each generation severely reduced genetic gain and, if linear indices were used, it was also important to update the economic weights. When probability of survival was measured, profit could be calculated on each animal and included as a trait in the calculation of estimated breeding value. This yielded high genetic gain and did not require updating of genetic parameters or economic weights.
ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 27/09/20 alle ore 22:49:34