Bull semen varibles after experimental exposure with Bovine Herpesvirus type 5

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Additive genetic relationship of longevity with fertility and production traits in Nellore cattle based on bivariate models

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Efeito da duração do cio sobre a fertilidade de éguas inseminadas com sêmen eqüino diluído, resfriado a 20°C e transportado

The objective of this study was to evaluate the effect of different interval from the beginning of the heat to the ovulation on the fertility of inseminated mares with diluted equine semen, cooled at 20°C and transported. The mares were grouped with the following interval periods: T1 - period less than five days, T2 - period from five to seven days and T3 - period from 8 to 21 days. The conception rates in the first cycle were 53.85 (7/13), 52.17 (12/23) and 66.67% (10/15) for treatments 1, 2 and 3, respectively, and after three cycles, 50.00 (9/18), 48.15 (13/27) and 64.71% (11/17), in the same preceding order. The duration of heat, in the conditions of this experiment, did not influence the fertility of inseminated mares.

Efeito de diferentes concentrações espermáticas sobre a fertilidade de éguas inseminadas com sêmen eqüino diluído, resfriado a 20°C e transportado

One hundred and one estral cycles of 92 Mangalarga Marchador breed mares were analyzed to study the effect of different spermatic concentrations on different reproductive characteristics. The mares were inseminated with diluted equine semen, cooled at 20°C and transported: T1 - concentrations below 250×10 6 (177.58±41.74×10 6 viable spermatozoa per inseminate dose), T2 - concentrations between 250 and 350 10 6 sptz (315.51±20.78×106), and T3 - concentrations above 350×10 6 sptz (477.71±136.83×10 6). The conception rates in the first cycle were 43.75 (7/16), 57.89 (11/19) and 54.55% (18/33) for treatments 1, 2 and 3, respectively. After five cycles, the conception rates were 36.00 (9/25), 44.12 (15/34) and 54.76% (23/42) for treatments 1, 2 and 3, respectively. Concentrations of 177.58±41,74×10 6 viable spermatozoa per inseminate dose had moderate fertility index in a commercial program using cooled and transported semen.

Comprimento da peça intermediária de espermatozóides bovinos e suas relações com características do sêmen e fertilidade

With the objective of identifying predictors of fertility in bulls, the correlation coefficients of the midpiece length of bovine spermatozoa with semen traits and fertility were estimated. Data were obtained from semen samples of 50 crossbred bulls submitted to a progeny test. The midpiece length was determined in 40 midpieces of each bull through a image analysis system (Videoplan). Besides the physical traits before and after semen freezing, the oxygen consumption rate and the cytochemical activity index were observed. The correlation coefficients were low and non-significant (P> 0.05), indicating that the midpiece length is not a good predictor of fertility.

Detection of leptospires in bovine semen by polymerase chain reaction

Objective: In view of the considerable importance of venereal transmission of bovine leptospirosis, the objective of the present study was to compare the polymerase chain reaction (PCR), culture/isolation and serology to detect leptospire infection in bovine semen. Design: Blood for serologic examination and semen for bacterial culture and PCR were collected from 20 bulls at artificial insemination centres in Brazil. Each animal was sampled twice for serology. Result: Forty-five percent (9/20) of the serum samples collected showed agglutinin titers to serovar hardjo in the first sample and 25% (5/20) had agglutinin titers to serovar hardjo in the second sample. Eighty percent (16/20) of semen samples were positive by PCR. Leptospires could not be isolated from any of the semen samples examined. Conclusion: Polymerase chain reaction can be a method of great potential for the detection of leptospires at artificial insemination centres.

Modeling and identification of fertility maps using artificial neural networks

The application of agricultural fertilizers using variable rates along the field can be made through fertility maps previously elaborated or through real-time sensors. In most of the cases applies maps previously elaborated. These maps are identified from analyzes done in soil samples collected regularly (a sample for each field cell) or irregularly along the field. At the moment, mathematical interpolation methods such as nearest neighbor, local average, weighted inverse distance, contouring and kriging are used for predicting the variables involved with elaboration of fertility maps. However, some of these methods present deficiencies that can generate different fertility maps for a same data set. Moreover, such methods can generate inprecise maps to be used in precision farming. In this paper, artificial neural networks have been applied for elaboration and identification of precise fertility maps which can reduce the production costs and environmental impacts.