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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Opis

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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Szczegółowe informacje

Projekt

Innovations agronomiques

Innovations agronomiques

Lokalizacja
France
Autorzy
Hélène Windy ZUB-PREUDHOMME, Arnaud GAUFFRETEAU, Jean-Michel GRAVOUEILLE et Frédérique AUROUSSEAU
Cel
Adopt innovative practices

Typ pliku
dokument
Utworzono dnia
01 kwi 2016
Język oryginału
French
Oficjalna strona projektu
Innovations agronomiques
Licencja
CC BY


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