TITULO: PLANT AND ANIMAL BREEDING - SIMULATION AND IMPUTATION IN THE GENOMIC ERA

IMPARTIDO POR: John Hickey

LENGUA: Impartido en INGLES

FECHA: 30 de Mayo a 1 de Junio de 2018

LUGAR: Edificio del Departamento de Ciencia Animal (7G). Universidad Politécnica de Valencia. Aula 1 (Planta baja) . Plano interactivo. Plano de situación

HORARIO:

Miércoles:  9:15 a 13:45  y 15:00 a 17:00 

Jueves: 9:15 a 13:45  y 15:00 a 17:00 

Viernes: 9:15 a 14:15

MATRICULA: 50 euros. Enlace para matricularse

https://www.cfp.upv.es/formacion-permanente/cursos/plant-and-animal-breeding---simulation-and-imputation-in-the-genomic-era_idiomaes-cid61348.html

 

 

PREREQUISITOS:

 

Traer al curso un laptop con sistema operativo Windows, o MacOS, o Linux

 

 

PROGRAMA

 

There are lots of emerging and new technologies that could have application in livestock and plant breeding programs. These technologies present new opportunities to increase the rates of gain and or to increase the efficiency of breeding programs. Some of the technologies can be implemented in small scale breeding programs, others require large amounts of infrastructure. Some require subtle changes to existing breeding program designs, others require fundamental changes. One route to discovering the optimal way to use these technologies is to harness stochastic simulation within the context of the breeders equation with constrained economic resources.


The objective of this short course is to equip the participants with techniques and tools to think about how such technologies could be exploited. Specifically this will include:

1. Compare and contrast existing breeding program designs in different plant and animal species
2. Overview of different emerging and new technologies (e.g., sequence, genotype, phenomics, gene editing, manipulation of recombination) and some thoughts about how they can affect breeding programs
3. Use of the breeders equation and stochastic simulation to explore different applications of such technologies
4. Optimal contribution selection and the manipulation of recombination
5. Genotyping and sequencing strategies and their optimisation
6. Phasing and imputation methods
7. Mechanics of genomic prediction