468 resultados para Variância genética
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Pós-graduação em Agronomia - FEIS
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Pós-graduação em Agronomia (Proteção de Plantas) - FCA
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Pós-graduação em Agronomia - FEIS
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The kindergarten has as main objective the development of the child from zero to five years in their physical, emotional, cognitive and social domains. This is also the goal of the Centers for Children Living from the Universidade Estadual Paulista (UNESP) that caters to children of teachers, technical and administrative staff and students. In this work we report some of the action of the Technical Commission of the CCIs with reflections on the construction of children's knowledge through observations of the CCIs in different campuses of Unesp, conducted through technical visits. As a theoretical contribution we adopt the Genetic Epistemology of Jean Piaget. Partial results show that, although there are efforts to understand and assist the process of constructing knowledge of children, many challenges remain to be overcome in the realization of an excellent service to children.
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The aim of this study was to assess the occurrence of genotype-environment interaction, as well as its effects on the magnitude of genetic parameters and the classification of Nellore breeding bulls for the trait adjusted weight at 205 days (W205) on Southern Brazil. The components of (co)variance were estimated by Bayesian inference, using a linear-linear animal model in a bi-trait analysis. The proposed model for the analyses considers as random the direct additive genetic and maternal effects and residual effects, and as fixed effects the contemporary groups, sex, season of birth and weighing, and calving age as covariable (linear and quadratic effects). The a posteriori mean estimates of the direct heritabilities for W205 in the three States varied from 0.24 in Paraná (PR) to 0.34 in Santa Catarina (SC). The estimates of maternal heritability varied from 0.23 in SC and Rio Grande do Sul (RS) to 0.28 in PR. The a posteriori mean distributions of the genetic correlation varied from 0.52 between SC and RS, to 0.84 between PR and RS, suggesting that the best breeding bulls in SC are not the same as in RS.
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Pós-graduação em Genética e Melhoramento Animal - FCAV
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Pós-graduação em Genética e Melhoramento Animal - FCAV
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Pós-graduação em Genética - IBILCE
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Pós-graduação em Microbiologia - IBILCE
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Pós-graduação em Ciências Biológicas (Genética) - IBB
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The aim of this study was to analyse the genetic diversity and agronomic performance of a group of advanced and superior strains of soybean, derived from biparental, four-way and eight-way crosses, in order to identify future promising and superior combinations. The experiment was carried out in the experimental area of the Paulista State University, Julio de Mesquita Filho, Jaboticabal Campus, in the state of Sao Paulo, Brazil. The characteristics under evaluation were: number of days to flowering, plant height at flowering, number of days to maturity, plant height at maturity, height of the first pod, number of branches, number of pods per plant, agronomic value, lodging, one hundred seed weight and seed yield., The Mahalanobis distance and the relative contribution of each characteristic were used to calculate the phenotypic distances. Among the genotypes analysed, 19 strains displayed high productivity, being superior to the controls (V-max, CD 216, CD 219 and Conquista). The greatest distance found was between strains JAB 41 and JAB 17 (279.81), followed by JAB 40 and JAB 17 (261.38) and between JAB 40 and JAB 22 (255.46). There were six groups formed using the Ward method, indicating the presence of genetic variability among the tested strains. Increasing the number of parents had no effect on the increase in genetic diversity between the strains, and was not the factor responsible for the grouping or not of the genotypes under test.
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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.
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One of the greatest challenges for the agricultural system is to establish agricultural production combined with the conservation of genetic resources, mainly aiming to protect the Permanent Preservation Areas. In this context, mulungu ( Erythrina velutina Willd), among other native species, has been suffering with anthropogenic pressures in various ecosystems, causing reductions in its genetic basis. This work aims to identify ecological and genetic population parameters as indicators of sustainability in two natural populations of mulungu, located in riparian forest, in the state of Sergipe, and to assess the tendency to their sustainability, aiming genetic conservation of the species. The matrix of Pressure-State-Impact/Effect-Response (PEI/ER) was used with the selection of 13 indicators, from the use of RAPDmolecular markers and biochemical (enzymes) markers in populations, in order to present them as relevant information to measure progress as for sustainability and conservation ofmulungu. The studied populations presented low tendency to sustainability, requiring strategies to change this status.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Doenças Tropicais - FMB