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Mostrando ítems 1-5 de 5

Correlated genetic trend in the environmental variability of weight traits in mice

Moreno, A.; Ibanez-Escriche, Noelia; García-Ballesteros, S.; Salgado, C.; Nieto, B.; Gutiérrez, J. P. (Elsevier, 2012-09)

[EN] Genetic trends for weight traits and their environmental variability were analysed in an experimental mice population selected during 17 generations to increase weight gain by comparing three selection methods: classic ...
Correlated genetic trends for production and welfare traits in a mouse population divergently selected for birth weight environmental variability

Formoso-Rafferty, N.; Cervantes, I.; Ibañez Escriche, Noelia; Gutiérrez, J.P. (Cambridge University Press, 2016-11)

[EN] The objective of this work was to study the changes that, selecting for environmental variability of birth weight (BW), could bring to other interesting traits in livestock such as: survivability at weaning (SW), ...
Genetic parameters for canalisation analysis of litter size and litter weight traits at birth in mice

Gutiérrez, J.P.; Nieto, B.; Piqueras, P.; Ibañez Escriche, Noelia; Salgado, C. (Springer (Biomed Central Ltd.), 2006)

[EN] The aim of this research was to explore the genetic parameters associated with environmental variability for litter size (LS), litter weight (LW) and mean individual birth weight (IW) in mice before canalisation. The ...
Genetic parameters related to environmental variability of weight traits in a selection experiment for weight gain in mice; signs of correlated canalised response

Ibañez Escriche, Noelia; Moreno, A.; Nieto, B.; Piqueras, P.; Salgado, C.; Gutiérrez, J.P. (Springer (Biomed Central Ltd.), 2008)

[EN] Data from an experimental mice population selected from 18 generations to increase weight gain were used to estimate the genetic parameters associated with environmental variability. The analysis involved three traits: ...
Modelling Biological Systems: A New Algorithm for the Inference of Boolean Networks

Rubio-Chavarría, Mario; Santamaria Navarro, Cristina; García Mora, María Belén; Rubio Navarro, Gregorio (MDPI AG, 2021-02)

[EN] Biological systems are commonly constituted by a high number of interacting agents. This great dimensionality hinders biological modelling due to the high computational cost. Therefore, new modelling methods are needed ...

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