Future trends in Animal Breeding due to new genetic tecnologies

The Darwin theory of evolution by natural selection is based on three principles: (a) variation; (b) inheritance; and (c) natural selection. Here, I take these principles as an excuse to review some topics related to the future research prospects in Animal Breeding. With respect to the first principle I describe two forms of variation different from mutation that are becoming increasingly important: variation in copy number and microRNAs. With respect to the second principle I comment on the possible relevance of non-mendelian inheritance, the so-called epigenetic effects, of which the genomic imprinting is the best characterized in domestic species. Regarding selection principle I emphasize the importance of selection for social traits and how this could contribute to both productivity and animal welfare. Finally, I analyse the impact of molecular biology in Animal Breeding, the achievements and limitations of quantitative trait locus and classical marker-assisted selection and the future of genomic selection

On a mathematical model of tumor growth based on cancer stem cells

We consider a simple mathematical model of tumor growth based on cancer stem cells. The model consists of four hyperbolic equations of first order to describe the evolution of different subpopulations of cells: cancer stem cells, progenitor cells, differentiated cells and dead cells. A fifth equation is introduced to model the evolution of the moving boundary. The system includes non-local terms of integral type in the coefficients. Under some restrictions in the parameters we show that there exists a unique homogeneous steady state which is stable.

Distributed, layered and reliable computing nets to represent neuronal receptive fields

Abstract. Receptive fields of retinal and other sensory neurons show a large variety of spatiotemporal linear and non linear types of responses to local stimuli. In visual neurons, these responses present either asymmetric sensitive zones or center-surround organization. In most cases, the nature of the responses suggests the existence of a kind of distributed computation prior to the integration by the final cell which is evidently supported by the anatomy. We describe a new kind of discrete and continuous filters to model the kind of computations taking place in the receptive fields of retinal cells. To show their performance in the analysis of diferent non-trivial neuron-like structures, we use a computer tool specifically programmed by the authors to that efect. This tool is also extended to study the efect of lesions on the whole performance of our model nets.

Libro de Actas del VII Congreso de estudiantes de Ciencia, Tecnología e Ingeniería Agronómica

En este VII Congreso de estudiantes volvemos agradecer a todos los profesores y alumnos su participación y colaboración en todo momento para que en este Libro de Actas que tienes entre tus manos se hayan recopilado los trabajos de más de 100 estudiantes. Todos los trabajos han sido revisados por los profesores del Comité Científico del Congreso y esperamos que las correcciones hayan sido de utilidad a los autores. Ya sólo queda “la puesta en escena” con la exposición y los nervios de hablar en público. Se dice que “no hay temas aburridos, sino oradores poco entusiastas”. Sabemos que nuestros estudiantes, si se han lanzado a presentar su trabajo en este Congreso, es porque entusiasmo no les falta, y los organizadores del Congreso vamos a hacer todo lo posible para que no decaiga. No obstante, como en cualquier otro evento de este tipo, tenemos un tiempo limitado y esperamos que los ponentes controlen su entusiasmo y sepan respetarlo. Nuestro agradecimiento a la Fundación Premio Arce, a la Comunidad de Madrid a través del Proyecto MEDGAN (S2013/ABI-2913), a NANTA S.A., Dupont Industrial Biosciences, Editorial Agrícola Española, y a las Cátedras Fertiberia e Ingenio-UPM, como patrocinadores de este evento.