Abstract

Climate change has become a significant factor in crop production in the 21st century for many countries. To turn losses into profit, adaptation measures are needed, which are based on the analysis and forecast of economically valuable characteristics of crops. The field trial data were analyzed for 764 oat accessions from the global germplasm collection by the N.I. Vavilov All-Russian Institute of Plant Genetic Resources (VIR) in 2001–2019 and the cultivar ‘Gorizont’ in 1990–2019 in Yekaterinino Experiment Station of VIR (Tambov Province, Russia, 52°59′ N, 40°50′ E). A progressive shortening of the growing season and a yield increase were observed during the study both in the mean values for the tested accessions and in the cv. ‘Gorizont’. Grain yield variability of cv. ‘Gorizont’ across the years was also associated with 1000 grain weight variations. The models predict a further reduction in the growing season by 2.4 days/10 years, mainly caused by an increase in temperatures above 15 °C, and an increase in yield by 47.6 g/m2/10 years, mainly caused by an increase in the temperature in May. ANOVA demonstrated that the highest yields in Tambov Province were produced by accessions from Ulyanovsk Province, Ukraine, Moscow Province, Norway, Germany, and Poland.

Highlights

  • The effect of climate change on the crop is most obvious in the data

  • The effect of climate change on the crop is most obvious in the dataof ofaasingle singlecultivar cultivar accumulated accumulatedfor formany manyyears

  • The study covering a massive set of oat accessions grown under contrasting weather conditions at Yekaterinino Experiment Station of VIR showed that in 2001–2019 the growing season shortened, while the grain yield increased both in the mean values of the studied accessions and in the reference cultivar ‘Gorizont’

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Summary

Introduction

The ensemble of models shows high uncertainty in water supply forecasts, as a rise in temperatures may provoke increased climate aridity [2]

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