981 resultados para Correlated response


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Evolutionary change in New World Monkey (NWM) skulls occurred primarily along the line of least resistance defined by size (including allometric) variation (g(max)). Although the direction of evolution was aligned with this axis, it was not clear whether this macroevolutionary pattern results from the conservation of within population genetic covariance patterns (long-term constraint) or long-term selection along a size dimension, or whether both, constraints and selection, were inextricably involved. Furthermore, G-matrix stability can also be a consequence of selection, which implies that both, constraints embodied in g(max) and evolutionary changes observed on the trait averages, would be influenced by selection Here, we describe a combination of approaches that allows one to test whether any particular instance of size evolution is a correlated by-product due to constraints (g(max)) or is due to direct selection on size and apply it to NWM lineages as a case study. The approach is based on comparing the direction and amount of evolutionary change produced by two different simulated sets of net-selection gradients (beta), a size (isometric and allometric size) and a nonsize set. Using this approach it is possible to distinguish between the two hypotheses (indirect size evolution due to constraints or direct selection on size), because although both may produce an evolutionary response aligned with g(max), the amount of change produced by random selection operating through the variance/covariance patterns (constraints hypothesis) will be much smaller than that produced by selection on size (selection hypothesis). Furthermore, the alignment of simulated evolutionary changes with g(max) when selection is not on size is not as tight as when selection is actually on size, allowing a statistical test of whether a particular observed case of evolution along the line of least resistance is the result of selection along it or not. Also, with matrix diagonalization (principal components [PC]) it is possible to calculate directly the net-selection gradient on size alone (first PC [PC1]) by dividing the amount of phenotypic difference between any two populations by the amount of variation in PC1, which allows one to benchmark whether selection was on size or not

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Genetic correlations of selection indices and the traits considered in these indices with mature weight (MW) of Nelore females and correlated responses were estimated to determine whether current selection practices will result in an undesired correlated response in MW. Genetic trends for weaning and yearling indices and MW were also estimated. Data from 612,244 Nelore animals born between 1984 and 2010, belonging to different beef cattle evaluation programs from Brazil and Paraguay, were used. The following traits were studied: weaning conformation (WC), weaning precocity (WP), weaning muscling (WM), yearling conformation (YC), yearling precocity (YP), yearling muscling (YM), weaning and yearling indices, BW gain from birth to weaning (BWG), postweaning BW gain (PWG), scrotal circumference (SC), and MW. The variance and covariance components were estimated by Bayesian inference in a multitrait analysis, including all traits in the same analysis, using a nonlinear (threshold) animal model for visual scores and a linear animal model for the other traits. The mean direct heritabilities were 0.21 ± 0.007 (WC), 0.22 ± 0.007 (WP), 0.20 ± 0.007 (WM), 0.43 ± 0.005 (YC), 0.40 ± 0.005 (YP), 0.40 ± 0.005 (YM), 0.17 ± 0.003 (BWG), 0.21 ± 0.004 (PWG), 0.32 ± 0.001 (SC), and 0.44 ± 0.018 (MW). The genetic correlations between MW and weaning and yearling indices were positive and of medium magnitude (0.30 ± 0.01 and 0.31 ± 0.01, respectively). The genetic changes in weaning index, yearling index, and MW, expressed as units of genetic SD per year, were 0.26, 0.27, and 0.01, respectively. The genetic trend for MW was nonsignificant, suggesting no negative correlated response. The selection practice based on the use of sires with high final index giving preference for those better ranked for yearling precocity and muscling than for conformation generates only a minimal correlated response in MW. © 2013 American Society of Animal Science. All rights reserved.

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The aim of the current study was to estimate heritabilities and correlations for body traits at different ages (Weeks 10 and 18 after stocking) in a giant freshwater prawn (Macrobrachium rosenbergii) population selected for fast growth rate in Vietnam. The dataset consisted of 4650 body records (2432 and 2218 records collected at Weeks 10 and 18, respectively) in the full pedigree comprising a total of 18 387 records. Variance and covariance components were estimated using restricted maximum likelihood fitting a multi-trait animal model. Estimates of heritability for body traits (bodyweight, body length, cephalothorax length, abdominal length, cephalothorax width and abdominal width) were moderate and ranged from 0.06 to 0.11 and from 0.11 to 0.22 at Weeks 10 and 18, respectively. Body-trait heritabilities estimated at Week 10 were not significantly lower than at Week 18. Genetic correlations between body traits within age and genetic correlations for body traits between ages were generally high. Our results suggested that selection for high growth rate in GFP can be undertaken successfully before full market size has been reached.

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A single-generation dataset consisting of 1,730 records from a selection program for high growth rate in giant freshwater prawn (GFP, Macrobrachium rosenbergii) was used to derive prediction equations for meat weight and meat yield. Models were based on body traits [body weight, total length and abdominal width (AW)] and carcass measurements (tail weight and exoskeleton-off weight). Lengths and width were adjusted for the systematic effects of selection line, male morphotypes and female reproductive status, and for the covariables of age at slaughter within sex and body weight. Body and meat weights adjusted for the same effects (except body weight) were used to calculate meat yield (expressed as percentage of tail weight/body weight and exoskeleton-off weight/body weight). The edible meat weight and yield in this GFP population ranged from 12 to 15 g and 37 to 45 %, respectively. The simple (Pearson) correlation coefficients between body traits (body weight, total length and AW) and meat weight were moderate to very high and positive (0.75–0.94), but the correlations between body traits and meat yield were negative (−0.47 to −0.74). There were strong linear positive relationships between measurements of body traits and meat weight, whereas relationships of body traits with meat yield were moderate and negative. Step-wise multiple regression analysis showed that the best model to predict meat weight included all body traits, with a coefficient of determination (R 2) of 0.99 and a correlation between observed and predicted values of meat weight of 0.99. The corresponding figures for meat yield were 0.91 and 0.95, respectively. Body weight or length was the best predictor of meat weight, explaining 91–94 % of observed variance when it was fitted alone in the model. By contrast, tail width explained a lower proportion (69–82 %) of total variance in the single trait models. It is concluded that in practical breeding programs, improvement of meat weight can be easily made through indirect selection for body trait combinations. The improvement of meat yield, albeit being more difficult, is possible by genetic means, with 91 % of the variation in the trait explained by the body and carcass traits examined in this study.

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The present study investigated the long-term consistency of individual differences in dairy cattles’ responses in tests of behavioural and hypothalamo–pituitary–adrenocortical (HPA) axis reactivity, as well as the relationship between responsiveness in behavioural tests and the reaction to first milking. Two cohorts of heifer calves, Cohorts 1 (N = 25) and 2 (N = 16), respectively, were examined longitudinally from the rearing period until adulthood. Cohort 1 heifers were subjected to open field (OF), novel object (NO), restraint, and response to a human tests at 7 months of age, and were again observed in an OF test during first pregnancy between 22 and 24 months of age. Subsequently, inhibition of milk ejection and stepping and kicking behaviours were recorded in Cohort 1 heifers during their first machine milking. Cohort 2 heifers were individually subjected to OF and NO tests as well as two HPA axis reactivity tests (determining ACTH and/or cortisol response profiles after administration of exogenous CRH and ACTH, respectively) at 6 months of age and during first lactation at approximately 29 months of age. Principal component analysis (PCA) was used to condense correlated response measures (to behavioural tests and to milking) within ages into independent dimensions underlying heifers’ reactivity. Heifers demonstrated consistent individual differences in locomotion and vocalisation during an OF test from rearing to first pregnancy (Cohort 1) or first lactation (Cohort 2). Individual differences in struggling in a restraint test at 7 months of age reliably predicted those in OF locomotion during first pregnancy in Cohort 1 heifers. Cohort 2 animals with high cortisol responses to OF and NO tests and high avoidance of the novel object at 6 months of age also exhibited enhanced cortisol responses to OF and NO tests at 29 months of age. Measures of HPA axis reactivity, locomotion, vocalisation and adrenocortical and behavioural responses to novelty were largely uncorrelated, supporting the idea that stress responsiveness in dairy cows is mediated by multiple independent underlying traits. Inhibition of milk ejection and stepping and kicking behaviours during first machine milking were not related to earlier struggling during restraint, locomotor responses to OF and NO tests, or the behavioural interaction with a novel object. Heifers with high rates of OF and NO vocalisation and short latencies to first contact with the human at 7 months of age exhibited better milk ejection during first machine milking. This suggests that low underlying sociality might be implicated in the inhibition of milk ejection at the beginning of lactation in heifers.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Foram estimados parâmetros genéticos para produção de leite no dia do controle e produção acumulada até 305 dias (P305) de primeiras lactações de vacas da raça Caracu. O modelo animal considerado conteve efeito genético aditivo, como aleatório, além dos efeitos fixos de grupo contemporâneo e da idade ao parto, como covariável. Foram definidos dois grupos contemporâneos para explicar a variação ocorrida nas produções em cada controle leiteiro, compostos por ano, semana do controle e retiro (gc1) ou ano, mês do controle e retiro (gc2). Os componentes de variância foram estimados pelo método da máxima verossimilhança restrita. As variâncias fenotípicas, residuais e genéticas foram maiores no início da lactação, entretanto, a variância genética aditiva foi proporcionalmente menor em relação às demais variâncias. As estimativas de herdabilidade oscilaram entre 0,09 e 0,32 e foram maiores no final da lactação, indicando maior variabilidade genética nesse período. As correlações genéticas (r a) entre as produções em cada controle foram positivas e maiores, quanto menor a distância entre eles. A herdabilidade para P305 foi de 0,27 e as r a desta com os controles, positivas e elevadas, principalmente no meio da lactação. Os resultados indicam que a seleção direta para P305 proporciona maiores ganhos genéticos para essa característica que a obtida por meio de resposta correlacionada para as produções em cada controle.

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O objetivo deste estudo foi avaliar indicadores da eficiência produtiva de vacas Nelore selecionadas para peso pós-desmama, enfocados nas relações peso bezerro e peso da vaca, nos rebanhos controle (NeC), não-selecionados para peso pós-desmama, seleção (NeS) e tradicional (NeT). As análises envolveram 3929 e 3906 pesos dos bezerros aos 120 (P120) e 210 (P210) dias de idade, respectivamente. Os pesos das vacas àquelas idades também foram considerados, obtendo-se 3824 (PV120) e 3777 (PV210) registros, respectivamente, para 120 e 210 dias. A análise incluiu 183, 375 e 554 vacas dos rebanhos NeC, NeS e NeT, respectivamente. Para as análises utilizou-se o procedimento GLM/SAS, em modelos que incluíram os efeitos fixos de rebanho, ano e mês de nascimento, sexo do bezerro, idade da vaca ao parto e as interações rebanho x ano de nascimento e ano x mês de nascimento. Todos os efeitos foram significativos. Os resultados mostraram respostas correlacionadas positivas na seleção para peso pós-desmama nos pesos dos bezerros e, em menor magnitude, no peso das vacas. As relações peso bezerro e peso da vaca apresentaram valores médios ajustados de 249,0±2,1; 253,7±1,6; e 255,8±1,2 g/kg para R120 e 362,9±2,8; 368,5±2,1; e 374,6±1,7 para NeC, NeS e NeT em R210, respectivamente, indicando que, nas duas idades, os rebanhos NeS e NeT produziram mais quilogramas de bezerro por quilogramas de vaca, quando comparados ao NeC.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Dados de 14.918 animais da raça Nelore nascidos entre 1991 e 2000, provenientes de rebanhos localizados nas regiões Sul e Sudeste do País, foram utilizados para estimar componentes de co-variância, herdabilidade e correlações genéticas de peso ao desmame (PD), peso a 1 ano de idade (PA), peso ao sobreano (PS), peso ao primeiro parto (PPP), idade ao primeiro parto (IPP) e dias para o primeiro parto (DP). As estimativas dos componentes de co-variância e dos parâmetros genéticos foram obtidas pelo método de máxima verossimilhança restrita, em análises multivariadas. As herdabilidades estimadas para PD, PA, PS, PPP, IPP e DP foram de 0,26; 0,30; 0,34; 0,35; 0,14 e 0,07, respectivamente. Correlações genéticas negativas foram estimadas entre pesos medidos em diferentes idades e IPP, as quais variaram de -0,31 a -0,16. do mesmo modo, as estimativas de correlação genética entre PD × DP (-0,09); PA × DP (-0,13); PS × DP (-0,17) e PPP × DP (-0,16) foram negativas, embora de menor magnitude. As correlações genéticas estimadas entre as características de crescimento e a IPP foram favoráveis. Assim, a seleção para aumento de peso deve promover redução da IPP. A alta correlação genética estimada entre IPP e DP (0,73) indica que o uso de DP na seleção de bovinos de corte pode promover resposta correlacionada favorável na idade ao primeiro parto.