341 resultados para PEDIGREE
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Pós-graduação em Genética e Melhoramento Animal - FCAV
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Pós-graduação em Zootecnia - FCAV
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Zootecnia - FMVZ
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O trabalho aplica estudos de genética quantitativa aos registros de búfalos do Estado do Pará, gerando respostas auxiliares aos criadores para a seleção e acasalamento dos animais. A análise de pedigree para estudo da variabilidade genética nos rebanhos participantes do Programa de Melhoramento Genético foi estimada por meio dos cálculos dos parâmetros baseados na probabilidade de origem de gene, coeficiente de endogamia, parentesco e intervalo médio entre gerações, pelo software PEDIG®; do número efetivo de fundadores (Nfun), número efetivo de ancestrais (Na) e intervalo de gerações pelo software PROB_ORIG.exe presente no pacote PEDIG®; do número efetivo de genomas remanescentes (Ng), calculado pelo software SEGREG.exe. Foram calculadas as estatísticas descritivas, a análise de variância e realizado o teste de Normalidade de Shapiro-Wilk por meio do pacote estatístico Statistical Analisys System. As estimativas de herdabilidade para a característica Peso ao Nascer (PN) foram obtidas por meio de inferência Bayesiana pelo programa GIBBS2F90.exe. Os valores genéticos foram obtidos por meio do programa BLUPF90.exe e a regressão das Diferenças Esperadas na Progênie sobre o ano de nascimento foi realizada pelo Excel for Windows para obtenção da tendência genética do PN. O Nfun foi igual a 28,6, o Na igual a 22,8, o Ng igual a 11,2, a razão Nfun/Na foi 1,25, indicando a diminuição do número de reprodutores ao longo dos períodos e a razão Ng/Nfun foi de 0,39. Apesar do intervalo de gerações de 12,5 anos, o número efetivo de gerações foi próximo a cinco. O número total de animais estudados considerados endogâmicos foi 33,4%, sendo a máxima encontrada de 40,8%, a média da endogamia entre os animais endogâmicos foi 10,4%, e o valor médio da endogamia no arquivo total foi 3,5%. O PN de bezerros bubalinos apresentou média e desvio padrão de 36,6 ± 4,7 kg. A característica PN não apresentou distribuição Normal, com valor de W=0,976271 e P
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A alface é a hortaliça folhosa mais consumida no Brasil. No entanto, a dificuldade em produzi-la vem aumentando, principalmente pela infestação das áreas de produção por Bremia lactucae, sendo o uso de cultivares com resistência horizontal, a alternativa mais viável no controle da doença. Diante do exposto, o objetivo do presente trabalho foi obter progênies de alface crespa resistentes às raças de míldio SPBl:01, SPBl:02, SPBl:03, SPBl:04, SPBl:05, SPBl:06 e SPBl:07. O trabalho de melhoramento consistiu de duas etapas: cruzamento dos parentais para obtenção das progênies de alface crespa resistentes e teste de resistência das progênies às raças de B. lactucae. Os parentais utilizados na obtenção das progênies resistentes foram Argeles e linhagem JAB 4-13-7, visando a obtenção de progênies de alface do tipo crespa, com os fatores de resistência R-18 e R-38. Para tanto, adotou-se o método genealógico, tendo como padrão, para as seleções, a cultivar Hortência e o genótipo JAB 4-13-7. Após a seleção e autofecundação das plantas no campo, efetuou-se o teste de resistência ou suscetibilidade, por meio da inoculação nas progênies oriundas dos cruzamentos, de uma mistura de água destilada + esporângios de B. lactucae das raças SPBl:01, SPBl:02, SPBl:03, SPBl:04, SPBl:05, SPBl:06 e SPBl:07 obtidas de isolados coletados nos anos de 2008 a 2010. Quinze dias após a inoculação, as plântulas foram selecionadas, descartando aquelas que possuíam esporulação e pontos necróticos causados por B. lactucae. Pelo método genealógico, selecionaram-se 69 progênies F3 com boas características agronômicas. No entanto, após o teste de resistência ou suscetibilidade, somente 19 apresentaram todas as plantas resistentes ao míldio.
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Pós-graduação em Agronomia - FEIS
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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The Gir cattle breed (Bos indicus) is an important genetic resource for milk production throughout the tropics. The small number of Gir animals introduced in Brazil, rapid dissemination of this breed recently, and the intensification of selection practices could contribute to increase of inbreeding level and reduce genetic diversity in this population. The population was analyzed in terms of pedigree completeness level, inbreeding coefficient, coancestry, generation interval, effective population size, effective number of founders and ancestors, among others. Despite the low mean inbreeding (around 2%), minor problems were identified in the population structure of the Brazilian Gir cattle, e.g., trend of narrower bottlenecks in the pedigree in recent years. The effective population sizes based on inbreeding (94) or coancestry (165.9) as well as the effective number of ancestors (76) and founders (143) were relativity high. The major subdivision of the Gir breed was observed between 1993 and 2002 (dairy and dual-purpose herds, wide use of within-herd matings). In this period the level of inbreeding remained at a higher level, there was a small increase in coancestry and the number of equivalent subpopulations was approximately 6. After 2002, there was genetic exchange between subpopulations, reduction in the average inbreeding, pronounced increase in the average coancestry, and the number of equivalent subpopulations was about 2. Furthermore, it was found that the mean generation interval of the population tended to increase in recent years (around 9 years). About 23% of genetic diversity has been lost since the first generation of founders. Based on the effective population size, number of equivalent subpopulations, inbreeding, coancestry, and loss of genetic diversity, the Gir population is still highly structured, but there is ample room for artificial selection. The results regarding the effective number of founders and ancestors in the present population demonstrate the existence of bottlenecks in the pedigree and indicate the need for population structure monitoring. Nevertheless, the Brazilian Gir breed can perfectly face a breeding program with high selection intensity. (C) 2014 Elsevier B.V. All rights reserved.
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The major aim of this study was to evaluate the inbreeding (F), average relatedness coefficient (AR) and effective population size (Ne) in the Jaffarabadi buffalo breed from Brazil. Pedigree information of 1,272 animals born from 1966 was used. The effective population size was calculated in two ways: first, computed via individual increase in inbreeding and second estimated by individual increase in coancestry. The known generation numbers were 1.24, 1.76 and 2.64 for complete, equivalent and maximum generation, respectively. The effective size computed via individual increase in coancestry was small with a value of 10.82 +/- 1.29. The effective size computed by individual increase in inbreeding (10.40 +/- 3.69) was very similar but a little smaller than the previous reported value. The average values of F and AR for the population reference (1,059) were 4.22 and 12.5 percent. The mean of F for inbred animals (319) was 14.0%. The F and AR means were 5.7 and 13.3% for animals with at least 1.5 known equivalent generation and 9.3 and 15.97% for individuals having at least 2.5 equivalent generations known. It was found 78 matings between half sibs (6.14%) and 67 matings (5.27%) between parent-offspring. The estimated inbreeding increase per generation by considering maximum generation, complete generation and equivalent generation were 1.21%, 5.18% and 3.57%, respectively. Considering the uncompleted pedigree, the estimated inbreeding for the reference population could be underestimated.
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In the present study, pregnancies obtained from 115 in vitro produced embryos were monitored by ultrasonography on days 30 and 60 after embryo transfer (ET), and at calving. Additionally, the health of newborns and recipients were also evaluated. On day 30 after ET, positive pregnancy was diagnosed in 50 animals (43.5%). A total of 8 fetal mortalities (16.0%) were verified from 30 days until calving, in which 2 occurred from 30 to 60 days after ET (4.0%), and 6 occurred from 60 days until calving (12.0%). In this last period of pregnancy, 3 pregnancy losses were due to abortion, and the other 3 were stillbirth. One additional animal was eliminated from the study, remaining 41 pregnancies. From these 41 pregnancies, a total of 20 female calves (48.8%) and 21 male calves (51.2%) were born. Pregnancies from female and male calves had a mean length of 309.8 and 310.9 days, respectively (range 300 to 328 days, and 297 to 320 days, respectively). Weight at calving was a mean of 31.4 and 33.8 kg for female and male calves, respectively. All calving occurred without intervention and dystocia was not observed in any case. No large offspring syndrome, hydramnios, hydroallantois, or umbilical cord anomalies were observed in calves. Delivery was normal in all recipients, and no puerperal infections, or retained placenta occurred. Suckling assistance was not necessary in any newborn. All genetic pedigree was confirmed later by DNA tests.
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The use of markers distributed all long the genome may increase the accuracy of the predicted additive genetic value of young animals that are candidates to be selected as reproducers. In commercial herds, due to the cost of genotyping, only some animals are genotyped and procedures, divided in two or three steps, are done in order to include these genomic data in genetic evaluation. However, genomic evaluation may be calculated using one unified step that combines phenotypic data, pedigree and genomics. The aim of the study was to compare a multiple-trait model using only pedigree information with another using pedigree and genomic data. In this study, 9,318 lactations from 3061 buffaloes were used, 384 buffaloes were genotyped using a Illumina bovine chip (Illumina Infinium (R) bovineHD BeadChip). Seven traits were analyzed milk yield (MY), fat yield (FY), protein yield (PY), lactose yield (LY), fat percentage (F%), protein percentage (P%) and somatic cell score (SCSt). Two analyses were done: one using phenotypic and pedigree information (matrix A) and in the other using a matrix based in pedigree and genomic information (one step, matrix H). The (co) variance components were estimated using multiple-trait analysis by Bayesian inference method, applying an animal model, through Gibbs sampling. The model included the fixed effects of contemporary groups (herd-year-calving season), number of milking (2 levels), and age of buffalo at calving as (co) variable (quadratic and linear effect). The additive genetic, permanent environmental, and residual effects were included as random effects in the model. The heritability estimates using matrix A were 0.25, 0.22, 0.26, 0.17, 0.37, 0.42 and 0.26 and using matrix H were 0.25, 0.24, 0.26, 0.18, 0.38, 0.46 and 0.26 for MY, FY, PY, LY, % F, % P and SCCt, respectively. The estimates of the additive genetic effect for the traits were similar in both analyses, but the accuracy were bigger using matrix H (superior to 15% for traits studied). The heritability estimates were moderated indicating genetic gain under selection. The use of genomic information in the analyses increases the accuracy. It permits a better estimation of the additive genetic value of the animals.
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Pós-graduação em Genética e Melhoramento Animal - FCAV
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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In this study, we estimated the heritability (h(2)) of earnings in the Quarter Horse in order to evaluate the inclusion of this trait in breeding programs. Records from 14,754 races of 2443 horses from 1978-2009 were provided by Sorocaba Hippodrome, Sao Paulo, Brazil. All ancestors of the registered horses were included in the pedigree file until the 4th generation. Log-transformed performance measures (LPM) were analyzed for animals aged 2, 3, and 4 years and during their entire career. The h(2) estimates were obtained using a multi-trait model and Gibbs sampling that included the effects of sex, year of race, and animal in all analyses. Five analyses were performed: 1 in which LPM was divided by the number of prizes, 1 in which LPM was divided by the number of race starts, and 3 analyses that included the number of prizes, number of race starts, and both (LPM_cNPS) as covariates. Analysis was performed with and without inclusion of the maternal effect. Models were compared based on the deviance information criterion and LPM_cNPS including maternal effects was found to be the best model. The h(2) estimates and standard deviation obtained using model LPM_cNPS were 0.19 +/- 0.08, 0.21 +/- 0.08, 0.22 +/- 0.09, and 0.21 +/- 0.07 for earnings at 2, 3, and 4 years of age and total career, respectively. Our analyses indicate that earnings are subject to selection and can be included in breeding programs to improve the racing performance of Quarter Horses.