International Journal of Agriculture and Crop Sciences, Volume (4), No (22), Year (2012-1) , Pages (1692-1700)

Title : ( Quantifying yield potential and yield gap for corn (Zea mays L.) in the Northeast Iran )

Authors: sara sanjani , Alireza Koocheki , Mehdi Nassiri Mahallati ,

Access to full-text not allowed by authors

Citation: BibTeX | EndNote

Quantifying the yield potential and gap between average farmer yields and yield potential is essential to estimate future food production capacity and to improve policies and research to ensure local food security. In order to quantify potential yield, yield gap and identify the spatial variation of corn yield, crop simulation model and Geographic Information System (GIS) were employed across Khorasan provinces (Northern, Razavi (Central), Southern) in northeast of Iran. The CSM-CERES-Corn model performed well to simulate yield of corn in this region. Results showed that average potential yield of corn was 16.4, 14.1 and 10.2 t ha-1 for Northern, central and Southern parts of Khorasan province respectively. It seems that the high temperature in the Southern part is the limiting factor. The high yield gap of 9.7, 8.61 and 6.28 t ha-1 was estimated for Northern, central and Southern of Khorasan province, respectively. Regions with higher yield potential showed a higher yield gap. Results of the study will facilitate identification of limiting factors for improvement of current corn yield in the area.

Keywords

, Corn, Crop simulation model, DSSAT, Geographic Information System, Spatial
برای دانلود از شناسه و رمز عبور پرتال پویا استفاده کنید.

@article{paperid:1032838,
author = {Sanjani, Sara and Koocheki, Alireza and Nassiri Mahallati, Mehdi},
title = {Quantifying yield potential and yield gap for corn (Zea mays L.) in the Northeast Iran},
journal = {International Journal of Agriculture and Crop Sciences},
year = {2012},
volume = {4},
number = {22},
month = {January},
issn = {2227-670x},
pages = {1692--1700},
numpages = {8},
keywords = {Corn; Crop simulation model; DSSAT; Geographic Information System; Spatial variability},
}

[Download]

%0 Journal Article
%T Quantifying yield potential and yield gap for corn (Zea mays L.) in the Northeast Iran
%A Sanjani, Sara
%A Koocheki, Alireza
%A Nassiri Mahallati, Mehdi
%J International Journal of Agriculture and Crop Sciences
%@ 2227-670x
%D 2012

[Download]