Identification of polymorphisms in the myostatin and leptin genes of santa inês breed and crossbreed sheep and association with carcass traits [Identificação de polimorfismo nos genes da miostatina e leptina em ovinos santa inês e cruzados e associação com características de carcaça]
Quirino C.R.,State University of Norte Fluminense |
da Costa R.L.D.,Institute Zootecnia |
Pacheco A.,University Federal do Oeste do Para |
Madella-Oliveira A.F.,Federal University of Espirito Santo |
And 4 more authors.
Bioscience Journal | Year: 2016
The objective of this study was to identify polymorphisms in the myostatin and leptin genes in Santa Inês (SI) and crossbreed (SI x Dorper) sheep, to verify the effect of these polymorphisms on carcass traits. We evaluated seventy sheep of 8-month-old at the Federal Institute of Espírito Santo, Brazil. Data collected were slaughter weight (SW), hot carcass weight (HCW), cold carcass weight (CCW), loin weight, tenderloin weight and fat thickness (FT). The hot carcass yield (HCY) was calculated by the formula (HCW/SW) x100. We collected hairs from each animal for DNA extraction by the alkaline protocol. The animals were genotyped for the G>A mutation in nucleotide 9827 of the myostatin gene and for three polymorphisms in exon 3 of the leptin gene, by the PCR-RFLP technique. The amplicons the myostatin and leptin gene were cleaved with restriction enzyme for allelic discrimination. The alleles were recorded for each animal and analysis of variance was performed to check the influence of the mutations on the carcass traits. The mutant allele of the myostatin gene showed association with increased measures of CCW, FT and with reduced HCY. Among the three alleles of the leptin gene, only one showed an effect (increased CCW). The other alleles were not associated with any traits. © 2016, Universidade Federal de Uberlandia. All rights reserved.
Rodrigues C.M.A.,Centro Universitario do Espirito Santo |
Della Lucia C.M.,Federal University of Vicosa |
Azeredo R.M.C.,Federal University of Vicosa |
Cota A.M.,Federal University of Vicosa |
And 2 more authors.
Food Control | Year: 2010
This study aimed to elaborate a set of measures to control vitamin C losses in vegetables prepared at a food service (FS). Vegetables were randomly selected for vitamin C analysis by high performance liquid chromatography (HPLC) after delivery of raw material and during distribution for consumption of the food prepared. Some principles underlying the Hazards Analysis and Critical Control Points (HACCP) were applied to identify the Nutritional Control Points (NCP) for vitamin C losses. A Nutritional Control Measure (NCM) was adopted for each NCP as well as the monitoring criteria. The vegetables were again collected for vitamin C analysis after adoption of the NCMs. The results indicated reduction of vitamin C losses with NCM adoption. © 2009 Elsevier Ltd. All rights reserved.
Rocha L.D.S.,Instituto Oswaldo Cruz |
Rocha L.D.S.,Centro Universitario do Espirito Santo |
Falqueto A.,Federal University of Espirito Santo |
Santos C.B.D.,Federal University of Espirito Santo |
And 2 more authors.
Journal of Medical Entomology | Year: 2011
Lutzomyia longipalpis (Diptera: Psychodidae) is the principal vector of American visceral leishmaniasis. Several studies have indicated that the Lu. longipalpis population structure is complex. It has been suggested that genetic divergence caused by genetic drift, selection, or both may affect the vectorial capacity of Lu. longipalpis. However, it remains unclear whether genetic differences among Lu. longipalpis populations are directly implicated in the transmission features of visceral leishmaniasis. We evaluated the genetic composition and the patterns of genetic differentiation among Lu. longipalpis populations collected from regions with different patterns of transmission of visceral leishmaniasis by analyzing the sequence variation in the mitochondrial cytochrome b gene. Furthermore, we investigated the temporal distribution of haplotypes and compared our results with those obtained in a previous study. Our data indicate that there are differences in the haplotype composition and that there has been significant differentiation between the analyzed populations. Our results reveal that measures used to control visceral leishmaniasis might have influenced the genetic composition of the vector population. This finding raises important questions concerning the epidemiology of visceral leishmaniasis, because these differences in the genetic structures among populations of Lu. longipalpis may have implications with respect to their efficiency as vectors for visceral leishmaniasis. © 2011 Entomological Society of America.
Beltrame R.T.,Centro Universitario do Espirito Santo |
Quirino C.R.,State University of Norte Fluminense |
Barioni L.G.,Embrapa Informatica |
de Lima V.F.M.H.,Sao Paulo State University
Revista Brasileira de Zootecnia | Year: 2013
A simulation model implemented in the programming software Delphi XE® was applied to evaluate sex selection in bovine. The hypothesis under investigation was that a dynamic model with stochastic and deterministic elements could detect the sexed semen technique to minimize pregnancy cost and to determine the adequate number of recipients required for in vivo (ET) and in vitro embryo production (IVP) in the proposed scenarios. Sex selection was compared through semen sexed using flow cytometry (C1) and density gradient centrifugation techniques (C2) in ET and IVP. Sensibility analyses were used to identify the adequate number of recipients for each scenario. This number was reinserted into the model to determine the biological and financial values that maximized ET and IVP using sexed semen (C1M and C2M). New scenarios showed that the density gradient technique minimized pregnancy cost based on the proposed scenarios. In addition, the adequate number of recipients (ET - C1M - 115 and C2M - 105)/(IVP - C1M - 145 and C2M - 140) per donor used was determined to minimize the pregnancy cost in all scenarios. © 2013 Sociedade Brasileira de Zootecnia.
do Prado H.A.,Catholic University of Brasilia |
do Prado H.A.,Embrapa Brazilian Agricultural Research Corporation |
Ferneda E.,Catholic University of Brasilia |
Guadagnin R.,Catholic University of Brasilia |
dos Santos G.M.F.,Centro Universitario do Espirito Santo
Pattern Recognition and Image Analysis | Year: 2012
In this paper we apply the Combinatorial Neural Model (CNM) to help scientists in Applied Social Sciences to understand a proactive agent in relation to the social environment. CNM is a hybrid neural network that represents an alternative to overcome the black box limitation of the Multilayer Perceptron by applying the neural network structure along with a symbolic processing. The model built comprises the recognition of patterns from a socioeconomic survey and from a set of written texts, and aims at understanding the student point of view about its role in the society. The self-perception of the young in relation to willingness for social proactivity was studied. Proactivity was taken as the possibility of transforming society from the perspective of social inequality. The whole process was driven under CRISP-DM guidelines. The model succeeded in identifying different rules that characterize non-proactive students. Results show that current approach is useful for subsidizing educators and managers of educational institutions in decision making with information on students' profile. © 2012 Pleiades Publishing, Ltd.