TITLE:
OILCROP-SUN Model for Nitrogen Management of Diverse Sunflower (Helianthus annus L.) Hybrids Production under Agro-Climatic Conditions of Sargodha, Pakistan
AUTHORS:
Muhammad Irfan Ahmad, Amjed Ali, Aaqil Khan, Sikandar Ali Jamro, Alam Sher, Shafeeq-ur Rahman, Arif Rashid
KEYWORDS:
Decision Support System for Agro-Technology Transfer, Sunflower, Nitrogen, Achene Yield, Crop Modeling
JOURNAL NAME:
American Journal of Plant Sciences,
Vol.8 No.3,
February
7,
2017
ABSTRACT: Decision support system for agro-technology transfer
(DSSAT), OIL CROP-SUN Model was used to stimulate the phenology, growth, yield
of different two sunflower hybrids. i.e. Hysun-33 and S-78 by applying different nitrogen levels. The effect of nitrogen
(N) on growth and yield components of different sunflower (Helianthus annuus L.) hybrids were evaluated under agro-climatic conditions of Sargodha,
Pakistan during spring 2013. The experiment was laid out in a randomized
complete block design with split plot arrangement having three replications,
keeping cultivars in the main plots and nitrogen levels (0, 45, 90,135 and 180
kg/ha) in sub plots. OIL CROP-SUN Model showed that the model was able to
simulate the growth and yield of sunflower with an average of 10.44 error%
between observed and simulate achene yield (AY). The result of simulation
indicates that nitrogen rate of 180 kg/ha produced highest achene yield in S-78
hybrid as compared to other treatments and Hysun-33 cultivar.