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Fonds National Suisse de la Recherche Scientifique (FNSRS) 2021

The development of a sorghum genotype to phenotype modelling pipeline

Phenotyping Sorghum

Titre : The development of a sorghum genotype to phenotype modelling pipeline

Numéro  : 203030

Début/Fin : 01.11.2021 – 31.10.2023

Requérant  : Vincent Garin
Institution de Recherche : ICRISAT International Crops Research Institute for the Semi-Arid Tropics

Présentation
Adapting plants to current and future climate changes is an urgent necessity that requires developing new methods to better understand and predict plant growth. In this ambitious project I want to combine advanced genetic resources, new modelling approach, and state-of-the-art phenotyping technology to describe plant growth from the genotype to the phenotype (G2P) level integrating key plant environmental adaptations. For that purpose, I will use an existing sorghum multi-parent population (MPP), an advanced genetic resource with wide genetic diversity for adaptation traits like photoperiodism. I will use high throughput phenotyping experiments to complement the available MPP phenotyping data measuring traits like transpiration efficiency.The first phase will involve comparing statistical genetics models (SGMs) and machine learning (ML) algorithms for their ability to model plant adaptation traits in terms of genotype and genotype by environment (GxE) information. Then, I will evaluate the capacities of crop growth models (CGMs) to reconstruct plant adaptation functions and their interactions with the environment using data from the MPP characterized in different environments. Finally, I will integrate the MPP genetic variability into the CGM by estimating key plant genotype CGM parameters through SGMs or ML. This integration of SGM/ML with CGM will constitute an advanced CGM/G2P pipeline to explore the genotype by environment by management space exposing the large MPP genetic diversity to a wide range of simulated environmental conditions. Ultimately, the pipeline will help in the adaptation of sorghum varieties in West Africa, where climate change has major repercussions.

Mots clés : modèles de culture, population multi-parentales, génétique quantitative, phénotypage à haut débit, bio-informatique, sorgho

Financement : 99 800 CHF

Fonds National Suisse de la Recherche Scientifique

Page publiée le 2 avril 2023