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Research article - Peer-reviewed, 2018

Estimating winter survival of winter wheat by simulations of plant frost tolerance

Olsen, A. K. Bergjord; Persson, T.; de Wit, A.; Nkurunziza, L.; Sindhoj, E.; Eckersten, H.

Abstract

Based on soil temperature, snow depth and the grown cultivar's maximum attainable level of frost tolerance (LT50c), the FROSTOL model simulates development of frost tolerance (LT50) and winter damage, thereby enabling risk calculations for winter wheat survival. To explore the accuracy of this model, four winter wheat cultivars were sown in a field experiment in Uppsala, Sweden in 2013 and 2014. The LT50 was determined by tests of frost tolerance in November, and the cultivars' LT50c was estimated. Further, recorded winter survival from 20 winter wheat field variety trials in Sweden and Norway was collected from two winter seasons with substantial winter damages. FROSTOL simulations were run for selected cultivars at each location. According to percentage of winter damage, the cultivar survival was classified as survived, intermediate or killed. Mean correspondence between recorded and simulated class of winter survival was 75% and 37% for the locations in Sweden and Norway, respectively. Stress factors that were not accounted for in FROSTOL might explain the poorer accuracy at the Norwegian locations. The accuracy was poorest for cultivars with intermediate LT50c levels. When low temperature was the main cause of damage, as at the Swedish locations, the model accuracy was satisfying.

Keywords

FROSTOL; LT50; modelling; plant cover; risk assessments; winter damage

Published in

Journal of Agronomy and Crop Science
2018, volume: 204, number: 1, pages: 62-73

Authors' information

Bergjord Olsen, Anne Kari
Norwegian Institute of Bioeconomy Research (NIBIO)
Persson, Tomas
Norwegian Institute of Bioeconomy Research (NIBIO)
de Wit, A
Wageningen University
Swedish University of Agricultural Sciences, Department of Crop Production Ecology
Sindhøj, Erik
Swedish Institute of Agricultural and Environmental Engineering (JTI)
Swedish University of Agricultural Sciences, Department of Crop Production Ecology

UKÄ Subject classification

Agricultural Science

Publication Identifiers

DOI: https://doi.org/10.1111/jac.12238

URI (permanent link to this page)

https://res.slu.se/id/publ/89379