Analyzing Genotype x Environment x Management Interactions to Predict Potato Variety Performance

This study adapts a wheat-derived genotype x environment interaction method to potato, analyzing yield variability of 10 varieties under irrigated and dry conditions and diagnosing key stresses. It assesses multiple predictive models, notably PLS regression, for their ability to forecast variety performance and water stress tolerance in new environments.

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Detail description

This paper presents an adaptation of a genotype x environment interaction analysis, initially developed for wheat, to a network of potato variety trials conducted between 2009 and 2011. The authors compared yield performance of ten potato varieties under irrigated and dry management, partitioned yield variability into varietal, environmental, and interaction components, and performed an agronomic diagnosis to identify major yield-limiting stresses such as water deficit and temperature effects during tuber bulking. Several predictive models, including PLS regression, were implemented to characterize variety responses and evaluated for their ability to predict differential performance and water stress tolerance in untested environments, revealing an advantage of PLS-based approaches.

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Contribution detail info

Project

Innovations agronomiques

Innovations agronomiques

Location
France
Authors
Hélène Windy ZUB-PREUDHOMME, Arnaud GAUFFRETEAU, Jean-Michel GRAVOUEILLE et Frédérique AUROUSSEAU
Purpose
Adopt innovative practices

File type
document
Created on
Apr 01, 2016
Origin language
French
Official project website
Innovations agronomiques
License
CC BY