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Estimation of Crown Temperature of Winter Wheat and the Effect on Simulation of Frost Tolerance
Norwegian Institute of Bioeconomy Research NIBIO, Norway .
Norwegian Institute of Bioeconomy Research NIBIO, Norway.
SLU Swedish University of Agricultural Sciences, Sweden.
RISE - Research Institutes of Sweden, Bioscience and Materials, Agrifood and Bioscience.
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2017 (English)In: Journal of Agronomy and Crop Science, ISSN 0931-2250, E-ISSN 1439-037X, Vol. 203, no 2, p. 161-176Article in journal (Refereed) Published
Abstract [en]

Accurate estimation of winter wheat frost kill in cold-temperate agricultural regions is limited by lack of data on soil temperature at wheat crown depth, which determines winter survival. We compared the ability of four models of differing complexity to predict observed soil temperature at 2 cm depth during two winter seasons (2013-14 and 2014-15) at Ultuna, Sweden, and at 1 cm depth at Ilseng and Ås, Norway. Predicted and observed soil temperature at 2 cm depth was then used in FROSTOL model simulations of the frost tolerance of winter wheat at Ultuna. Compared with the observed soil temperature at 2 cm depth, soil temperature was better predicted by detailed models than simpler models for both seasons at Ultuna. The LT50 (temperature at which 50 % of plants die) predictions from FROSTOL model simulations using input from the most detailed soil temperature model agreed better with LT50 FROSTOL outputs from observed soil temperature than what LT50 FROSTOL predictions using temperature from simpler models did. These results highlight the need for simpler temperature prediction tools to be further improved when used to evaluate winter wheat frost kill. © 2016 Blackwell Verlag GmbH.

Place, publisher, year, edition, pages
2017. Vol. 203, no 2, p. 161-176
Keywords [en]
FROSTOL, Frost kill, LT50, Model comparison, Soil temperature, Winter survival
National Category
Agricultural Science
Identifiers
URN: urn:nbn:se:ri:diva-27679DOI: 10.1111/jac.12187Scopus ID: 2-s2.0-84981521041OAI: oai:DiVA.org:ri-27679DiVA, id: diva2:1059153
Available from: 2016-12-22 Created: 2016-12-21 Last updated: 2018-01-12Bibliographically approved

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CiteExportLink to record
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