W305
High Throughput Phenotyping for Complex Traits : Case Study for Nitrogen Response in Wheat Based on the PhénoBlé Project

Date: Wednesday, January 13, 2016
Time: 11:50 AM
Room: Royal Palm Salon 3-4
David Gouache , ARVALIS - Institut du végétal, Boigneville, France
Benoit de Solan , ARVALIS - Institut du végétal, Avignon, France
Antoine Fournier , ARVALIS - Institut du végétal, Ouzouer le marché, France
Alexis Comar , HiPhen, Avignon, France
Fred Baret , INRA, Avignon, France
Fabien Cormier , BIOGEMMA, Chappes, France
Stéphane Lafarge , Biogemma, Chappes, France
Agathe Mini , ARVALIS - Institut du végétal, Chappes, France
Benoit Piquemal , ARVALIS - Institut du végétal, Boigneville, France
Sébastien Praud , BIOGEMMA, Chappes, France
Jacques Le Gouis , INRA GDEC, clermont ferrand, France
Katia Beauchene , ARVALIS - Institut du végétal, Ouzouer le marché, France
Crop response to abiotic stress is a complex trait, muddled by genotype by environment interactions, and multiple underlying traits. This is typically the case for response to nitrogen in wheat. High throughput phenotyping provides access to intermediate level traits that can help in understanding, screening, and ultimately ameliorating nitrogen response. We provide results on the use of proximal remote sensing technologies used to investigate the response of an elite panel of French bread wheats to nitrogen, obtained via a project entitled PhénoBlé. These results have allowed us to identify certain remote sensing proxies for radiation interception and radiation use efficiency as promising traits for screening germplasm response to nitrogen. Based on these results, as well as multilocal trials screening the same panel for nitrogen response, we propose avenues for implementing these technologies, with a focus on plant breeding. We also present technological evolutions from the initial prototype system to facilitate wide adoption. Finally, we conclude by drawing parallels with the requirements for investigating complex crop-phytobiome interactions for improved tolerance to stresses.