Quantitative genetics, crop improvement and biotechnology

lbrai2220a  2025-2026  Louvain-la-Neuve

Quantitative genetics, crop improvement and biotechnology
3.00 credits
20.0 h + 7.5 h
Q2
Language
Content
Population genetics 
  • Gene and genotype frequencies, Hardy-Weinberg principle 
  • Factors of variation (selection, migration, mutation, drift) 
  • Diagnostics (population structure, inbreeding) 
  • Quantitative genetics 
Values
  • Decomposition of genotypic variance and heritabilities
  • Selection and heterosis
  • GWAS and genomic selection 
Biotechnologies and plant genome manipulation 
  • Cloning, haplo-diploidization, interspecific crosses, protoplast fusion, and transgenesis
  • Plant breeding 
Reproduction modes, constraints, and opportunities of plant reproduction systems
  • Genetic diversity management
  • Description and critical analysis of different breeding strategies (crossbreeding and phenotypic selection schemes applied to self-pollinating, cross-pollinating, and vegetatively propagated plants; exploitation of heterosis)
  • Critical assessment of the potential contributions of each breeding strategy in relation to selection objectives and the determinism of the trait under study 
  • Consequences in terms of conservation and exploitation of genetic diversity, improvement of qualitative and quantitative traits, diversification of production. Integration of different strategies into current breeding. 
  • Climate change and sustainable agriculture: selection for organic farming, adaptation to environmental stresses (salinity, water resources, toxicities, pests and diseases, etc.), preservation of biodiversity, 
Teaching methods
Lectures, computer exercises, field trips 
Evaluation methods
The assessment method will be communicated at the beginning of the term.
Online resources
The resources are posted on Moodle.
Bibliography
Références citées dans les montages powerpoint fournis
Faculty or entity


Programmes / formations proposant cette unité d'enseignement (UE)

Title of the programme
Sigle
Credits
Prerequisites
Learning outcomes
Master [120] in Statistics: Biostatistics

Additionnal module in Biology

Master [120] in Agricultural Bioengineering