22 resultados para Genetic Technologies Limited
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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The majority of beef cow herds in South America are constituted by Bos indicus females, which have particular reproductive features that contribute to reduced reproductive efficiency compared with that of B. taurus cohorts. Hence, several alternatives to enhance reproductive efficiency of B. indicus heifers and cows have been developed to address their inherent reproductive shortcomings. These research-based technologies are being described in detail within this chapter and have already made an impact on South American B. indicus-based production systems. These include the following: (a) hormonal protocols to induce puberty in nulliparous heifers or estrous cyclicity in postpartum cows to maximize their reproductive performance during the subsequent breeding season, (b) hormonal protocols to synchronize estrus and/or ovulation in B. indicus females to exploit their reproductive responses to artificial insemination, and (c) genetic and environmental factors that influence reproductive success in beef herds, including reproductive diseases and excitable temperament of B. indicus females, that have been investigated to support/promote the development of appropriate mitigation technologies.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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In vitro production of bovine embryo (IVP) has become a remarkable assisted reproduction biotechnology in Brazil, once it is considered an important tool for the genetic improvement of the herd. However, many abnormalities are associated with IVP technologies, such as higher incidences of embryo loss, abortions, hydrallantois and dystocia, prolonged gestation, increased birth weight and high perinatal mortality. Collectively, these abnormalities are known as “Large Offspring Syndrome”, which has limited the large-scale use of IVP technologies in cattle industry
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This paper describes a new methodology adopted for urban traffic stream optimization. By using Petri net analysis as fitness function of a Genetic Algorithm, an entire urban road network is controlled in real time. With the advent of new technologies that have been published, particularly focusing on communications among vehicles and roads infrastructures, we consider that vehicles can provide their positions and their destinations to a central server so that it is able to calculate the best route for one of them. Our tests concentrate on comparisons between the proposed approach and other algorithms that are currently used for the same purpose, being possible to conclude that our algorithm optimizes traffic in a relevant manner.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)