Unit AAF-SOFTWARE DEDICATED TO GENETIC IMPROVEMENT
- Course
- Economics and culture of human nutrition
- Study-unit Code
- A001316
- Curriculum
- In all curricula
- Teacher
- Camillo Pieramati
- Teachers
-
- Camillo Pieramati
- Hours
- 30 ore - Camillo Pieramati
- CFU
- 3
- Course Regulation
- Coorte 2020
- Offered
- 2020/21
- Learning activities
- A scelta dello studente
- Area
- A scelta dello studente
- Academic discipline
- NN
- Type of study-unit
- Opzionale (Optional)
- Type of learning activities
- Attività formativa monodisciplinare
- Language of instruction
- Italian
- Contents
- Use of free scientific software to perform population genetics studies, to estimate breeding values for quantitative traits, and to perfom genomic analyses.
- Reference texts
- No specific text is available. All didactic aids are available in UniStudium
- Educational objectives
- The student will learn the use of different formats of genetic data, and to perform and understand the main analyses in population genetics, the estimation of breeding values and the genomic evaluations.
- Prerequisites
- A good knowledge of both information technologies and the genetic improvement of livestock is required
- Teaching methods
- All the lectures are in a PC room. After a short theorical introduction, the lecturer will show how to perform a simple analysis, then each student will be assisted in replicating it step by step at his/her computer workstation.
- Other information
- Attendance is compulsory
- Learning verification modality
- After each lecture the student will receive a homework: he/she must complete the assignement before the next lecture.
There will be a short oral examination at the end of the course. - Extended program
- Simulation and analysis of microsatellite data: allelic frequencies, Hardy-Weinberg equilibrium, F(IT)-F(IS)-F(ST), genetic distance, multivariate tecniques, graphic reports.
Simulation and analysis of quantitative traits: the pedigree file, the genetic model, the genetic parameters (heritability, repeatability and correlations), estimating breeding values and accuracies.
Simulation and analysis of genomic data (beadchips). Using the Linux bash; management of data and quality control; data mining; GWAS.