The influence of reduced precipitation supply on spring barley yields and the ability of crop growth models to simulate drought stress

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67179843%3A_____%2F15%3A00456313" target="_blank" >RIV/67179843:_____/15:00456313 - isvavai.cz</a>

Alternative codes found

RIV/62156489:43210/15:43908709

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

The influence of reduced precipitation supply on spring barley yields and the ability of crop growth models to simulate drought stress

Original language description

This paper evaluates the first year (2014) of results from a field experiment with spring barley (cultivar Bojos) under reduced precipitation supply. The field experiment was carried out at an experimental station in the Czech Republic and consisted of small plots in two variants and three repetitions. The first variant was uncovered, and the second was partly covered to exclude rain throughout the entire vegetation season. For plots’ partial covering, a material was used to divert rainwater away from 70% of the plots. The main aim was to determine whether there are any differences in soil water content or in grain yield size between uncovered and partly covered plots and to compare the results obtained. Data measured in this field experiment were used to compare simulations of this field experiment in the DAISY crop growth model. Subsequently, the crop growth model’s ability to simulate grain yield, which was affected by drought stress, was explored. In reality, differences in phenological development and grain yield size were not evident. Reducing precipitation supply in DAISY by about 70% led to simulations of covered plots with reduced grain yield in accordance with the initial hypothesis. Agreement between observed and simulated grain yield was evaluated using selected statistical indicators: root mean square error (RMSE) as a parameter of average magnitude of error and mean bias error (MBE) as an indicator of systematic error. RMSE of grain yield was 2.6 t ha1. MBE revealed grain yield undervalued by 2.6 t ha1.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

GC - Plant growing, crop rotation

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2015

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Global Change: A Complex Challenge : Conference Proceedings

ISBN

978-80-87902-10-3

ISSN

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e-ISSN

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Number of pages

4

Pages from-to

114-117

Publisher name

Global Change Research Centre, The Czech Academy of Sciences, v. v. i.

Place of publication

Brno

Event location

Brno

Event date

Mar 23, 2015

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000381161600027