Growth curves of female nelore and their crosses

Seleção para características do crescimento pode ser feita após ajustadas funções de crescimento para todos os animais sob seleção. Porém, a curva de crescimento de fêmeas é influenciada pelas gestações e lactações subsequentes. Neste trabalho, métodos são descritos para selecionar uma função que ajuste a curva de crescimento de fêmeas bovinas considerando-se os efeitos de variação de peso corporal devido a gestação e a lactação. Foram utilizados dados provenientes do Instituto Agronômico do Paraná, constituindo-se de 15.271 observações de pesos de 103 fêmeas, sendo 43 Nelore, 10 F1 Guzerá x Nelore, 29 F1 Red Angus x Nelore, 5 F1 Marchigiana x Nelore e 16 F1 Simental x Nelore. Comparou-se o ajuste das funções de Brody, Gompertz, Logística, Von Bertalanffy e Michaelis-Menten reparametrizada (MMr) aos efeitos do ganho de peso em função da idade, sendo adicionado a todas as funções o ganho de peso durante a gestação e a perda de peso na lactação de fêmeas da raça Nelore e Cruzadas. Ao ajustar as funções, observou-se um Coeficiente de Determinação Múltiplo Ajustado variando entre 0,7552 e 0,9267. Observou-se o menor Quadrado Médio do Resíduo e o Desvio Médio Absoluto para a função de MMr. Para descrição da curva de crescimento em função da idade das fêmeas, deve ser ajustada a função de MMr.Selection for growth characteristics can be done after fitting growth functions for all breeding animals. However, in the female population the growth curve is influenced by gestation and subsequent lactations. In this work methods are described to select a function that fits a growth curve of bovine females considering the varying effects of body weight due to gestation and lactation. Data from the Paraná Agronomic Institute (IAPAR) were used consisting of 15.271 weight observations of 103 females distributed as 43 Nelore, 10 F1 Guzerá x Nelore, 29 F1 Red Angus x Nelore, 5 F1 Marchigiana x Nelore and 16 F1 Simental x Nelore. The function adjustment of Brody, Gompertz, Logística, Von Bertalanffy and Michaelis-Menten reparametrized MMr were compared to the effects of weight gain as a function of age, adding to all functions the weight gain during gestation and the weight loss in the lactation of Nelore and crossbreed females. It was observed an Adjusted Coefficient of Multiple Determination varying from 0.7552 to 0.9267. Lower Residue Mean Square and Absolute Mean Deviation were observed for the MMr function. The MMr function must be adjusted in order to describe the growth curve as a function of the female age

Characterization of the myostatin gene in the neotropical species Piaractus mesopotamicus and the possibility of its use in genetic improvement programs

Background The myostatin gene has played an important role in the genetic improvement of the main species of economic importance; however, it has not yet been described for some Neotropical fish essential for aquaculture. This study aimed to characterize the myostatin gene of pacu, Piaractus mesopotamicus, and investigate the association of a microsatellite marker in this gene with the weight of fish. Methods and results The myostatin gene sequence was obtained after following a RACE-PCR strategy based on a partial mRNA sequence available in the GenBank database and the alignment of myostatin sequences from other fish species. The obtained sequence for the P. mesopotamicus gene was analyzed for short tandem repeats, and one dinucleotide was observed at the 3´untranslated region. A short tandem repeat polymorphism was verified in a wild population. Subsequently, the STR was evaluated in a test population of 232 animals in two 220 m² concrete tanks at the Aquaculture Center of Unesp. Eight alleles and 22 genotype combinations were identified. A significant association was observed between microsatellite marker polymorphisms and the weight traits (WEIGHT1 and WEIGHT2). Alleles 210, 222, 226, and 230 were found to favor weight gain. Conclusions In summary, this study contributes to the characterization of the myostatin gene in pacu fish and identifies an association between a STR and weight traits. Thus, this gene could be used as a target for genetic breeding using molecular strategies such as CRISPR and quantitative strategies such as marker-assisted selection, which would contribute to improving the production of the species.Fil: Rinaldi Lattanzi, Gabriel. Universidade Estadual Paulista Julio de Mesquita Filho; BrasilFil: Dessimoni Dias, Marco Aurélio. No especifíca;Fil: Teruo Hashimoto, Diogo. Universidade Estadual Paulista Julio de Mesquita Filho; BrasilFil: Carvalho Costa, Adriano. No especifíca;Fil: Diaz Neto, Santiago. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Laboratorio de Biotecnología Acuática; ArgentinaFil: del Pazo, Felipe. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Laboratorio de Biotecnología Acuática; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; ArgentinaFil: Diaz, Juan. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Laboratorio de Biotecnología Acuática; ArgentinaFil: Villanova, Gabriela Vanina. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Laboratorio de Biotecnología Acuática; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; ArgentinaFil: Vilhena Reis Neto, Rafael. Universidade Estadual Paulista Julio de Mesquita Filho; Brasi