Selection of alfalfa cultivars adapted for tropical environments with repeated measures using PROC MIXED of SAS (R) System

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

Estudo do valor adaptativo anual de fêmeas da raça Nelore utilizando modelos de regressão aleatória

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Estimativas de (co) varância genética de pesos do nascimento até a maturidade em rebanhos da raça Nelore usando modelos de regressão aleatória e de características múltiplas

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

Programa computacional para ajuste de curvas polinomiais em experimentos envolvendo dados longitudinais

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

Estudo genético e quantitativo da contagem de células somáticas em bubalinos leiteiros

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

Efeito da adição de culturas láticas mesofílicas sobre a qualidade do queijo de coalho

O objetivo deste trabalho foi avaliar a característica do queijo de coalho, produzido a partir do leite bovino pasteurizado, mediante a utilização de bactérias láticas mesofílicas do gênero Lactococcus lactis ssp. cremoris e Lactococcus lactis ssp. lactis específicas. As culturas láticas oriundas do Banco de Bactérias Láticas da Universidade Estadual do Ceará foram ativadas junto às instalações do Laboratório de Bactérias Láticas da Universidade Federal Rural da Amazônia-UFRA, Campus de Belém. As culturas láticas foram ativadas durante três dias consecutivos em Leite Desnatado Reconstituído (LDR) 12% esterilizado e incubadas a 30 °C ± 2 °C, até a coagulação do leite. Após reativação, a cultura industrial foi obtida pela transferência do inoculo de 1% (v/v) para frascos de vidros contendo 500 ml de LDR 12% esterilizado, seguida de incubação a 30 °C ± 2 °C até a coagulação do leite, em seguida a cultura (fermento lático) foi adicionada diretamente no tanque de fabricação contendo o leite pasteurizado, mantendo-se a proporção de 1:1. Para avaliação tecnológica foram utilizados as seguintes culturas láticas isoladas de leite cru: Lactococcus lactis ssp. lactis (LL); Lactococcus lactis (atípico) (LLA); Lactococcus lactis ssp. cremoris (atípico) (LLCA); Lactococcus lactis ssp. cremoris (LLC),. As porções de Amostras foram retiradas, colocadas em processador de alimentos e processadas até formar uma amostra. Em seguida, foram acondicionadas em frascos estéreis, identificadas e mantidas em freezer para posterior análises de determinação do extrato seco, umidade (%), extrato seco total (EST), gordura (G), gordura no extrato seco (GES), acidez, pH, cloretos, nitrogênio total (NT), nitrogênio solúvel em pH 4,6, nitrogênio solúvel em TCA 12%. O índice de proteólise ou extensão da maturação foi avaliado pela divisão do NT. Para o teste de aceitação utilizou-se a escala hedônica estruturada de nove pontos, para avaliar o produto quanto ao aroma, aspecto geral, gosto e textura. O teste de fritura de acordo com metodologia descrita por Cavalcante et al., (2007). As análises microbiológicas das amostras de queijos experimentais nos 1º e 30º dia de maturação, encaminhadas ao Laboratório Central – LACEN, Divisão de Análises de Produtos – DEP. E consistiram em Contagem de bactérias Aeróbias Mesófilas, Determinação de Coliformes. Para o teste de fritura não houve análise estatística. O delineamento utilizado foi o Inteiramente Casualisado e foi utilizada a metodologia de modelos mistos para dados longitudinais, com objetivo de modelar a estrutura de (co)variância entre medidas coletadas na mesma unidade experimental em tempos diferentes, por meio do modelo y_ijk=μ+α_i+ δ_(i)+β_k+ α β_ik+ε_ijk. Utilizando-se o programa estatístico Statistical Analysis Systems - SAS (SAS INSTITUTE INC., 1992). Os tratamentos LL e LLA foram reprovados no teste de fritura. Houve ligação entre a característica derretimento com a umidade, acidez e proteólise. Os queijos que apresentaram maiores valores de proteólise apresentaram maior capacidade de derretimento. As amostras de queijo coalho tiveram boa aceitabilidade no teste de aceitação.

Persistência da lactação e Influência da estrutura de dados sobre a estimação de parâmetros genéticos para a produção de leite de bovinos da raça Holandesa

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Análise Bayesiana de dados composicionais na presença de covariáveis

Pós-graduação em Matematica Aplicada e Computacional - FCT

Genetic parameters for body weight in buffaloes (Bubalus bubalis) in Colombia using random regression models

The objective of this research was to estimate (co) variance functions and genetic parameters for body weight in Colombian buffalo populations using random regression models with Legendre polynomials. Data consisted of 34,738 weight records from birth to 900 days of age from 7815 buffaloes. Fixed effects in the model were contemporary group and parity order of the mother. Random effects were direct and maternal additive genetic, as well as animal and maternal permanent environmental effects. A cubic orthogonal Legendre polynomial was used to model the mean curve of the population. Eleven models with first to sixth order polynomials were used to describe additive genetic direct and maternal effects, and animal and maternal permanent environmental effects. The residual was modeled considering five variance classes. The best model included fourth and sixth order polynomials for direct additive genetic and animal permanent environmental effects, respectively, and third-order polynomials for maternal genetic and maternal permanent environmental effects. The direct heritability increased from birth until 120 days of age (0.32 +/- 0.05), decreasing thereafter until one year of age (0.18 +/- 0.04) and increased again, reaching 0.39 +/- 0.09, at the end of the evaluated period. The highest maternal heritability estimates (0.11 +/- 0.05), were obtained for weights around weaning age (weaning age range is between 8 and 9.5 months). Maternal genetic and maternal permanent environmental variances increased from birth until about one year of age, decreasing at later ages. Direct genetic correlations ranged from moderate (0.60 +/- 0.060) to high (0.99 +/- 0.001), maternal genetic correlations showed a similar range (0.41 +/- 0.401 and 0.99 +/- 0.003), and all of them decreased as time between weighings increased. Direct genetic correlations suggested that selecting buffalos for heavier weights at any age would increase weights from birth through 900 days of age. However, higher heritabilities for direct genetic weights effects after 600 days of age suggested that selection for these effects would be more effective if done during this age period. A greater response to selection for maternal ability would be expected if selection used maternal genetic predictions for weights near weaning. (C) 2013 Elsevier B.V. All rights reserved.

Aplicação de modelos de regressão aleatória utilizando diferentes estruturas de dados

A total of 3.035 lactations of Holstein cows from four farms in the Southeast, to check the influence of data structure of milk yield on the genetic parameters. Four dataset with different structures were tested, weekly controls (CW) with 122.842 controls, monthly controls (CM) 30.883, bimonthly controls (CB) with 15,837 and quarterly controls (CQ) with 12,702. The random regression model was used and was considered as random additive genetic and permanent environment effects, fixed effects of the contemporary groups (herd-year-month of test-day) and age of cow (linear and quadratic effects). Heritability estimates showed similar trends among the data files analyzed, with the greatest similarity between dataset CS, CM and CB. The dataset submitted all the CB estimates of genetic parameters analyzed with the same trend and similar magnitude to the CS and CM dataset, allowing the claim that there was no influence of the data structure on estimates of covariance components for the dataset CS, CM and CB. Thus, milk recording could be accomplished in a CB structure.

Seleção genômica para características longitudinais de bovinos da raça Holandesa

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Modelos lineares generalizados bayesianos para dados longitudinais

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Estimating abundance of killer whales in the nearshore waters of the Gulf of Alaska and Aleutian Islands using line-transect sampling

Killer whale (Orcinus orca Linnaeus, 1758) abundance in the North Pacific is known only for a few populations for which extensive longitudinal data are available, with little quantitative data from more remote regions. Line-transect ship surveys were conducted in July and August of 2001–2003 in coastal waters of the western Gulf of Alaska and the Aleutian Islands. Conventional and Multiple Covariate Distance Sampling methods were used to estimate the abundance of different killer whale ecotypes, which were distinguished based upon morphological and genetic data. Abundance was calculated separately for two data sets that differed in the method by which killer whale group size data were obtained. Initial group size (IGS) data corresponded to estimates of group size at the time of first sighting, and post-encounter group size (PEGS) corresponded to estimates made after closely approaching sighted groups.

Educational Investment, Family Context, and Children’s Math and Reading Growth from Kindergarten through the Third Grade

Drawing on longitudinal data from the Early Childhood Longitudinal Study, Kindergarten Class of 1998–1999, this study used IRT modeling to operationalize a measure of parental educational investments based on Lareau’s notion of concerted cultivation. It used multilevel piecewise growth models regressing children’s math and reading achievement from entry into kindergarten through the third grade on concerted cultivation and family context variables. The results indicate that educational investments are an important mediator of socioeconomic and racial/ethnic disparities, completely explaining the black-white reading gap at kindergarten entry and consistently explaining 20 percent to 60 percent and 30 percent to 50 percent of the black-white and Hispanic-white disparities in the growth parameters, respectively, and approximately 20 percent of the socioeconomic gradients. Notably, concerted cultivation played a more significant role in explaining racial/ethnic gaps in achievement than expected from Lareau’s discussion, which suggests that after socioeconomic background is controlled, concerted cultivation should not be implicated in racial/ethnic disparities in learning.

Influence diagnostics for elliptical semiparametric mixed models

In this paper we extend semiparametric mixed linear models with normal errors to elliptical errors in order to permit distributions with heavier and lighter tails than the normal ones. Penalized likelihood equations are applied to derive the maximum penalized likelihood estimates (MPLEs) which appear to be robust against outlying observations in the sense of the Mahalanobis distance. A reweighed iterative process based on the back-fitting method is proposed for the parameter estimation and the local influence curvatures are derived under some usual perturbation schemes to study the sensitivity of the MPLEs. Two motivating examples preliminarily analyzed under normal errors are reanalyzed considering some appropriate elliptical errors. The local influence approach is used to compare the sensitivity of the model estimates.