University of Belgrade - Faculty of Agriculture
AgroSpace - Faculty of Agriculture Repository
    • English
    • Српски
    • Српски (Serbia)
  • English 
    • English
    • Serbian (Cyrillic)
    • Serbian (Latin)
  • Login
View Item 
  •   AgroSpace
  • Poljoprivredni fakultet
  • Radovi istraživača / Researchers’ publications
  • View Item
  •   AgroSpace
  • Poljoprivredni fakultet
  • Radovi istraživača / Researchers’ publications
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Assessment of AquaCrop model in the simulation of seed yield and biomass of Italian ryegrass

Authorized Users Only
2017
Authors
Stričević, Ružica
Simić, Aleksandar
Kusvuran, Alpaslan
Ćosić, Marija
Article (Published version)
Metadata
Show full item record
Abstract
Given that the optimal sowing rate and inter-row spacing of Italian ryegrass raised for seed have not been determined, the objective of this research was to assess the effect of crop density on biomass and seed yields under different climate conditions, applying the AquaCrop model. The data came from experiments conducted under moderate continental climate conditions at Stitar (Serbia) and Mediterranean climate conditions at Cukurova (Turkey). At Stitar, there were three different inter-row spacings (high (S-d), medium (S-m) and low (S-w) crop densities), while at Cukurova there was only high crop density (S-n). In the calibration process, the initial canopy cover, canopy expansion and maximal canopy cover were adapted to each crop density, while the other conservative parameters were adjusted to correspond to all climate conditions. Calibration results showed a very good match between measured and simulated seed yields; the values of the coefficient of determination (0.922). The bioma...ss simulation was very good for Cukurova (R-2=0.97), but somewhat poorer for Stitar (R-2=0.72). Other statistical indicators were high such as Willmott index of agreement of both the calibrated and validated data sets, for both study areas >0.916 and normalized root mean square error in the range from 9-18%. The AquaCrop model was found to be more reliable for Italian ryegrass biomass and seed yield predictions under mild winter climate conditions, with adequate water supply, compared with moderate climate and water shortage conditions.

Keywords:
AquaCrop / crop density / Lolium multiflorum / modelling / water stress
Source:
Archives of Agronomy and Soil Science, 2017, 63, 9, 1301-1313
Publisher:
  • Taylor & Francis Ltd, Abingdon
Funding / projects:
  • Assessment of Climate Change Impact on Water Resources of Serbia (RS-37005)

DOI: 10.1080/03650340.2016.1275580

ISSN: 0365-0340

WoS: 000400841900010

Scopus: 2-s2.0-85007460176
[ Google Scholar ]
URI
http://aspace.agrif.bg.ac.rs/handle/123456789/4325
Collections
  • Radovi istraživača / Researchers’ publications
Institution/Community
Poljoprivredni fakultet

DSpace software copyright © 2002-2015  DuraSpace
About the AgroSpace Repository | Send Feedback

re3dataOpenAIRERCUB
 

 

All of DSpaceCommunitiesAuthorsTitlesSubjectsThis institutionAuthorsTitlesSubjects

Statistics

View Usage Statistics

DSpace software copyright © 2002-2015  DuraSpace
About the AgroSpace Repository | Send Feedback

re3dataOpenAIRERCUB