Avaliação da influência do caráter lignotúber sobre características silviculturais em testes de progênies de Eucalyptus spp

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Análise multivariada de características reprodutivas e produtivas de vacas da raça Holandesa

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Estimativas de parâmetros genéticos e fenotípicos para características reprodutivas e de temperamento em bovinos da raça Nelore

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Avaliação da influência do caráter lignotúber sobre características silviculturais em testes de progênies de Eucalyptus spp

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Contribution and perspectives of quantitative genetics to plant breeding in Brazil

The purpose of this article is to show how quantitative genetics has contributed to the huge genetic progress obtained in plant breeding in Brazil in the last forty years. The information obtained through quantitative genetics has given Brazilian breeders the possibility of responding to innumerable questions in their work in a much more informative way, such as the use or not of hybrid cultivars, which segregating population to use, which breeding method to employ, alternatives for improving the efficiency of selection programs, and how to handle the data of progeny and/or cultivars evaluations to identify the most stable ones and thus improve recommendations.

Short communication: Principal components and factor analytic models for test-day milk yield in Brazilian Holstein cattle

A total of 46,089 individual monthly test-day (TD) milk yields (10 test-days), from 7,331 complete first lactations of Holstein cattle were analyzed. A standard multivariate analysis (MV), reduced rank analyses fitting the first 2, 3, and 4 genetic principal components (PC2, PC3, PC4), and analyses that fitted a factor analytic structure considering 2, 3, and 4 factors (FAS2, FAS3, FAS4), were carried out. The models included the random animal genetic effect and fixed effects of the contemporary groups (herd-year-month of test-day), age of cow (linear and quadratic effects), and days in milk (linear effect). The residual covariance matrix was assumed to have full rank. Moreover, 2 random regression models were applied. Variance components were estimated by restricted maximum likelihood method. The heritability estimates ranged from 0.11 to 0.24. The genetic correlation estimates between TD obtained with the PC2 model were higher than those obtained with the MV model, especially on adjacent test-days at the end of lactation close to unity. The results indicate that for the data considered in this study, only 2 principal components are required to summarize the bulk of genetic variation among the 10 traits.

Bayesian analysis of random regression models using B-splines to model test-day milk yield of Holstein cattle in Brazil

The objective of this paper is to model variations in test-day milk yields of first lactations of Holstein cows by RR using B-spline functions and Bayesian inference in order to fit adequate and parsimonious models for the estimation of genetic parameters. They used 152,145 test day milk yield records from 7317 first lactations of Holstein cows. The model established in this study was additive, permanent environmental and residual random effects. In addition, contemporary group and linear and quadratic effects of the age of cow at calving were included as fixed effects. Authors modeled the average lactation curve of the population with a fourth-order orthogonal Legendre polynomial. They concluded that a cubic B-spline with seven random regression coefficients for both the additive genetic and permanent environment effects was to be the best according to residual mean square and residual variance estimates. Moreover they urged a lower order model (quadratic B-spline with seven random regression coefficients for both random effects) could be adopted because it yielded practically the same genetic parameter estimates with parsimony. (C) 2012 Elsevier B.V. All rights reserved.

Genotype by environment interaction for birth and weaning weights of composite beef cattle in different regions of Brazil

The objectives of the present study were to characterize and define homogenous production environments of composite beef cattle in Brazil in terms of climatic and geographic variables using multivariate exploratory techniques and to use them to assess the presence of G x E for birth weight (BW) and weaning weight (WW). Data from animals born between 1995 and 2008 on 36 farms located in 27 municipalities of the Brazilian states were used. Fifteen years of climate observations (mean minimum and maximum annual temperature and mean annual rainfall) and geographic (latitude, longitude and altitude) data were obtained for each municipality where the farms were located for characterization of the production environments. Hierarchical and nonhierarchical cluster analysis was used to group farms located in regions with similar environmental variables into clusters. Six clusters of farms were formed. The effect of sire-cluster interaction was tested by single-trait analysis using deviance information criterion (DIC). Genetic parameters were estimated by multi-trait analysis considering the same trait to be different in each cluster. According to the values of DIC, the inclusion of sire-cluster effect did not improve the fit of the genetic evaluation model for BW and WW. Estimates of genetic correlations among clusters ranged from -0.02 to 0.92. The low genetic correlation among the most studied regions permits us to suggest that a separate genetic evaluation for some regions should be undertaken. (C) 2012 Elsevier B.V. All rights reserved.

Parâmetros genéticos para a produção de leite em caprinos das raças Saanen e Alpina

Objetivou-se com este trabalho estimar parâmetros genéticos para a produção de leite acumulada até os 305 dias (P305) de cabras das raças Saanen e Alpina. Foram utilizadas as duas primeiras parições de cabras pertencentes a rebanhos participantes do programa de controle produtivo e reprodutivo de caprinos (PROCAPRI) da UNESP-FCAV-Jaboticabal-SP. A P305 foi analisada por meio de modelos de repetibilidade e bicaracterísticas. Para verificar a influência dos efeitos fixos sobre a característica analisada foram realizadas análises preliminares, pelo método de quadrados mínimos. Os componentes de covariâncias foram estimados pelo método da máxima verossimilhança restrita (REML), utilizando o programa Wombat. A duração da lactação, a idade da cabra ao parto, o rebanho, o ano de parto e a estação de parto foram importantes fontes de variação para a P305. Não houve diferença significativa entre as raças estudadas. As estimativas de herdabilidade e repetibilidade para a P305, obtidas com o modelo de repetibilidade, foram de 0,29 e 0,36, respectivamente. As estimativas de herdabilidade, obtidas pelos modelos de repetibilidade e bicaracterísticas foram semelhantes. Sendo assim, um modelo de repetibilidade poderia ser indicado para avaliar a P305 pela sua simplicidade.

Epistatic effects on grain yield of soybean [Glycine max (L.) Merrill]

Studies addressing the estimation of genetic parameters in soybean have not emphasized the epistatic effects. The purpose of this study was to estimate the significance of these effects on soybean grain yield, based on the Modified Triple Test Cross design. Thirty-two inbred lines derived from a cross between two contrasting lines were used, which were crossed with two testers (L1 and L2). The experiments were carried out at two locations, in 10 x 10 triple lattice designs with 9 replications, containing 32 lines (Pi ), 64 crosses (32 Pi x L1 and 32 Pi x L2 ) and controls. The variation between ( ͞L1i + ͞L2i - ͞Pi ) revealed the presence of epistasis, as well as an interaction of epistasis x environment. Since the predominant component of epistasis in autogamous species is additive x additive (i type), we suggest postponing the selection for grain yield to later generations of inbreeding in order to exploit the beneficial effects of additive x additive epistasis.

Down Syndrome: Neuropsychological phenotype and mitochondrial DNA

Introduction. Down Syndrome (DS) is the most known autosomal trisomy, due to the presence in three copies of chromosome 21. Many studies were designed to identify phenotypic and clinical consequences related to the triple gene dosage. However, the general conclusion is a senescent phenotype; in particular, the most features of physiological aging, such as skin and hair changes, vision and hearing impairments, thyroid dysfunction, Alzheimer-like dementia, congenital heart defects, gastrointestinal malformations, immune system changes, appear in DS earlier than in normal age-matched subjects. The only established risk factor for the DS is advanced maternal age, responsible for changes in the meiosis of oocytes, in particular the meiotic nondisjunction of chromosome 21. In this process mitochondria play an important role since mitochondrial dysfunction, due to a variety of extrinsic and intrinsic influences, can profoundly influence the level of ATP generation in oocytes, required for a correct chromosomal segregation. Aim. The aim of this study is to investigate an integrated set of molecular genetic parameters (sequencing of complete mtDNA, heteroplasmy of the mtDNA control region, genotypes of APOE gene) in order to identify a possible association with the early neurocognitive decline observed in DS. Results. MtDNA point mutations do not accumulate with age in our study sample and do not correlate with early neurocognitive decline of DS subjects. It seems that D-loop heteroplasmy is largely not inherited and tends to accumulate somatically. Furthermore, in our study sample no association of cognitive impairment and ApoE genotype is found. Conclusions. Overall, our data cast some doubts on the involvement of these mutations in the decline of cognitive functions observed in DS.

Impact of anthropogenic stressors on the population genetics of the common bioindicator Dreissena polymorpha (Pallas, 1771)

Toxicant inputs from agriculture, industry and human settlements have been shown to severely affect freshwater ecosystems. Pollution can lead to changes in population genetic patterns through various genetic and stochastic processes. In my thesis, I investigated the impact of anthropogenic stressors on the population genetics of the zebra mussel Dreissena polymorpha. In order to analyze the genetics of zebra mussel populations, I isolated five new highly polymorphic microsatellite loci. Out of those and other already existing microsatellite markers for this species, I established a robust marker set of six microsatellite loci for D. polymorpha. rnMonitoring the biogeographical background is an important requirement when integrating population genetic measures into ecotoxicological studies. I analyzed the biogeographical background of eleven populations in a section of the River Danube (in Hungary and Croatia) and some of its tributaries, and another population in the River Rhine as genetic outgroup. Moreover, I measured abiotic water parameters at the sampling sites and analyzed if they were correlated with the genetic parameters of the populations. The genetic differentiation was basically consistent with the overall biogeographical history of the populations in the study region. However, the genetic diversity of the populations was not influenced by the geographical distance between the populations, but by the environmental factors oxygen and temperature and also by other unidentified factors. I found strong evidence that genetic adaptation of zebra mussel populations to local habitat conditions had influenced the genetic constitution of the populations. Moreover, by establishing the biogeographical baseline of molecular variance in the study area, I laid the foundation for interpreting population genetic results in ecotoxicological experiments in this region.rnIn a cooperation project with the Department of Zoology of the University of Zagreb, I elaborated an integrated approach in biomonitoring with D. polymorpha by combining the analysis techniques of microsatellite analysis, Comet assay and micronucleus test (MNT). This approach was applied in a case study on freshwater contamination by an effluent of a wastewater treatment plant (WWTP) in the River Drava (Croatia) and a complementary laboratory experiment. I assessed and compared the genetic status of two zebra mussel populations from a contaminated and a reference site. Microsatellite analysis suggested that the contaminated population had undergone a genetic bottleneck, caused by random genetic drift and selection, whereas a bottleneck was not detected in the reference population. The Comet assay did not indicate any difference in DNA damage between the two populations, but MNT revealed that the contaminated population had an increased percentage of micronuclei in hemocytes in comparison to the reference population. The laboratory experiment with mussels exposed to municipal wastewater revealed that mussels from the contaminated site had a lower percentage of tail DNA and a higher percentage of micronuclei than the reference population. These differences between populations were probably caused by an overall decreased fitness of mussels from the contaminated site due to genetic drift and by an enhanced DNA repair mechanism due to adaptation to pollution in the source habitat. Overall, the combination of the three biomarkers provided sufficient information on the impact of both treated and non-treated municipal wastewater on the genetics of zebra mussels at different levels of biological organization.rnIn my thesis, I could show that the newly established marker set of six microsatellite loci provided reliable and informative data for population genetic analyses of D. polymorpha. The adaptation of the analyzed zebra mussel populations to the local conditions of their habitat had a strong influence on their genetic constitution. We found evidence that the different genetic constitutions of two populations had influenced the outcome of our ecotoxicological experiment. Overall, the integrated approach in biomonitoring gave comprehensive information about the impact of both treated and non-treated municipal wastewater on the genetics of zebra mussels at different levels of biological organization and was well practicable in a first case study.

Heritabilities of health traits in Swiss Warmblood horses

REASONS FOR PERFORMING THE STUDY: There is a lack of evidence regarding genetic parameters of health traits in Swiss Warmblood horses. OBJECTIVES: To estimate heritabilities of equine sarcoid disease, horn quality of the hooves, prognathism and increased filling of talocrural joints as a possible indicator for osteochondrosis in Swiss Warmblood horses examined at the field tests for 3-year-olds between 2005 and 2013. STUDY DESIGN: Retrospective analysis of breed society database. METHODS: Swiss Warmblood horses were examined clinically by 13 veterinarians at field tests in Switzerland between 2005 and 2013. The presence of sarcoids, horn quality of the hooves, incisor occlusion and increased joint filling were assessed and recorded. Records of 3715 horses were integrated in a pedigree comprising 217,282 horses. Variance components and heritabilities were estimated on the liability scale using MTGSAM. RESULTS: The prevalences of the examined traits were rather low, ranging from 2.4 to 13.0%. Heritabilities estimated were 0.21 ± 0.07 for the occurrence of sarcoids, 0.04 ± 0.02 for hooves with markedly brittle and friable horn quality, 0.03 ± 0.01 for hooves with marked growth ring formation, 0.06 ± 0.03 for prognathism and 0.08 ± 0.04 for increased filling of the talocrural joint (an indicator of possible osteochondrosis). The influence of the examiner on the variance of these observations was considerable. CONCLUSIONS: With the exception of equine sarcoid disease, estimates for the heritabilities for the traits examined here were low. A standardised examination protocol may reduce the variance due to the examiner. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.

Whole Genome Analysis of Pinkeye Scores in Angus Cattle

Infectious Bovine Keratoconjunctivitis (IBK), known as pinkeye, is a common infectious disease affecting the eyes of cattle. It is characterized by excessive tearing, inflammation of the conjunctiva, and ulceration of the cornea. Although pinkeye is non-fatal, it has a marked economic impact on the cattle industry, due to the decreased performance of infected individuals. Genetic effects on the susceptibility of IBK have been studied and Hereford, Jersey, and Holstein breeds were found to be more susceptible to IBK than Bos Indicus breeds. The objectives of our study were: 1) to estimate genetic parameters of IBK scored in different categories by using genomic threshold model, and 2) to detect markers in linkage disequilibrium with quantitative tract loci (QTL) associated with IBK.

Populus spp : estabilidad y ganancia genética sobre la altura media dominante en tres ambientes de la pampa ondulada, Argentina

El objetivo de este trabajo fue evaluar la altura media dominante (AMD) y su estabilidad en 15 clones de álamos de 5 años de edad, implantados en tres ambientes diferentes de la pampa ondulada, Argentina. Los sitios fueron: Teodelina (Sitios 1 y 2), Santa Fe (34° 12' LS; 61° 43' W; 90 msnm) y Alberti (Sitio 3), Buenos Aires (34° 50' LS; 60° 30' W; 55 msnm) y se caracterizaron en base a variables de clima y suelo. Se realizaron los análisis de la varianza del conjunto de clones entre sitios y entre los clones por sitio. La comparación de AMD se realizó aplicando el test de Tukey. Se analizó la interacción clon-sitio. Se construyó un criterio de elección basado en parámetros genéticos de estabilidad sobre el carácter (AMD), estimándose la ganancia genética al seleccionar los mejores clones. Se realizaron los cálculos de heredabilidad en sentido amplio. Los posicionamientos en AMD fueron significativos entre clones por sitio y entre sitios. La interacción clon sitio fue significativa. Los valores de AMD y los de ecovalencia permitieron seleccionar genomas con mayor amplitud de adaptación y consecuentemente conciliar la producción con la plasticidad dentro de la disimilitud de los sitios evaluados.