922 resultados para 12930-023
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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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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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Given the importance of Guzera breeding programs for milk production in the tropics, the objective of this study was to compare alternative random regression models for estimation of genetic parameters and prediction of breeding values. Test-day milk yields records (TDR) were collected monthly, in a maximum of 10 measurements. The database included 20,524 records of first lactation from 2816 Guzera cows. TDR data were analyzed by random regression models (RRM) considering additive genetic, permanent environmental and residual effects as random and the effects of contemporary group (CG), calving age as a covariate (linear and quadratic effects) and mean lactation curve as fixed. The genetic additive and permanent environmental effects were modeled by RRM using Wilmink, All and Schaeffer and cubic B-spline functions as well as Legendre polynomials. Residual variances were considered as heterogeneous classes, grouped differently according to the model used. Multi-trait analysis using finite-dimensional models (FDM) for testday milk records (TDR) and a single-trait model for 305-days milk yields (default) using the restricted maximum likelihood method were also carried out as further comparisons. Through the statistical criteria adopted, the best RRM was the one that used the cubic B-spline function with five random regression coefficients for the genetic additive and permanent environmental effects. However, the models using the Ali and Schaeffer function or Legendre polynomials with second and fifth order for, respectively, the additive genetic and permanent environmental effects can be adopted, as little variation was observed in the genetic parameter estimates compared to those estimated by models using the B-spline function. Therefore, due to the lower complexity in the (co)variance estimations, the model using Legendre polynomials represented the best option for the genetic evaluation of the Guzera lactation records. An increase of 3.6% in the accuracy of the estimated breeding values was verified when using RRM. The ranks of animals were very close whatever the RRM for the data set used to predict breeding values. Considering P305, results indicated only small to medium difference in the animals' ranking based on breeding values predicted by the conventional model or by RRM. Therefore, the sum of all the RRM-predicted breeding values along the lactation period (RRM305) can be used as a selection criterion for 305-day milk production. (c) 2014 Elsevier B.V. All rights reserved.
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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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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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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)
Periapical Repair Following Endodontic Surgery: Two- andThree-Dimensional Imaging Evaluation Methods
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Objective. To evaluate the potential effects of race on clinical characteristics, extent of disease, and response to chemotherapy in women with postmolar low-risk gestational trophoblastic neoplasia (GTN).Methods. This non-concurrent cohort study was undertaken including patients with FIGO-defined postmolar low-risk GTN treated with comparable doses and schedules of chemotherapy at the New England Trophoblastic Disease Center (NETDC) between 1973 and 2012. Racial groups investigated included whites, African American and Asians. Information on patient characteristics and response to chemotherapy (need for second line chemotherapy, reason for changing to an alternative chemotherapy, number of cycles/regimens, need for combination chemotherapy, and time to hCG remission) was obtained.Results. Of 316 women, 274 (86.7%) were white, 19 (6%) African American, and 23 (7.3%) Asian. African Americans were significantly younger than white and Asian women (p = 0.008). Disease presentation, and extent of disease, including antecedent molar histology, median time to persistence, median hCG level at persistence, rate of D&C at persistence, presence of metastatic disease, and FIGO stage and risk score were similar among races. Need for second line chemotherapy (p = 0.023), and median number of regimens (p = 0.035) were greater in Asian women than in other races.Conclusions. Low-risk GTN was more aggressive in Asian women, who were significantly more likely to need second line chemotherapy and a higher number of chemotherapy regimens to achieve complete remission than women of African American and Asian descent. Further studies involving racial differences related to clinical, biological and environmental characteristics are needed. (C) 2015 Published by Elsevier Inc.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)