Comparing the performance of 11 crop simulation models in predicting yield response to nitrogen fertilization

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F16%3A00463682" target="_blank" >RIV/86652079:_____/16:00463682 - isvavai.cz</a>

Alternative codes found

RIV/62156489:43210/16:43909339

Result on the web

<a href="http://dx.doi.org/10.1017/S0021859615001124" target="_blank" >http://dx.doi.org/10.1017/S0021859615001124</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1017/S0021859615001124" target="_blank" >10.1017/S0021859615001124</a>

Result language

angličtina

Original language name

Comparing the performance of 11 crop simulation models in predicting yield response to nitrogen fertilization

Original language description

Eleven widely used crop simulation models (APSIM, CERES, CROPSYST, COUP, DAISY, EPIC, FASSET, HERMES, MONICA, STICS and WOFOST) were tested using spring barley (Hordeum vulgare L.) data set under varying nitrogen (N) fertilizer rates from three experimental years in the boreal climate of Jokioinen, Finland. This is the largest standardized crop model inter-comparison under different levels of N supply to date. The models were calibrated using data from 2002 and 2008, of which 2008 included six N rates ranging from 0 to 150 kg N/ha. Calibration data consisted of weather, soil, phenology, leaf area index (LAI) and yield observations. The models were then tested against new data for 2009 and their performance was assessed and compared with both the two calibration years and the test year. For the calibration period, root mean square error between measurements and simulated grain dry matter yields ranged from 170 to 870 kg/ha. During the test year 2009, most models failed to accurately reproduce the observed low yield without N fertilizer as well as the steep yield response to N applications. The multi-model predictions were closer to observations than most single-model predictions, but multi-model mean could not correct systematic errors in model simulations. Variation in soil N mineralization and LAI development due to differences in weather not captured by the models most likely was the main reason for their unsatisfactory performance. This suggests the need for model improvement in soil N mineralization as a function of soil temperature and moisture. Furthermore, specific weather event impacts such as low temperatures after emergence in 2009, tending to enhance tillering, and a high precipitation event just before harvest in 2008, causing possible yield penalties, were not captured by any of the models compared in the current study.

Czech name

—

Czech description

—

Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

GC - Plant growing, crop rotation

OECD FORD branch

—

Project

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

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2016

Confidentiality

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

Name of the periodical

Journal of Agricultural Science

ISSN

0021-8596

e-ISSN

—

Volume of the periodical

154

Issue of the periodical within the volume

7

Country of publishing house

GB - UNITED KINGDOM

Number of pages

23

Pages from-to

1218-1240

UT code for WoS article

000382578700006

EID of the result in the Scopus database

2-s2.0-84951270934