Author(s)

Muhammad Irfan Ahmad^1,2*, Amjed Ali¹, Aaqil Khan², Sikandar Ali Jamro², Alam Sher², Shafeeq-ur Rahman³, Arif Rashid⁴

¹University College of Agriculture, University of Sargodha, Sargodha, Pakistan.
²School of Agronomy, Anhui Agricultural University, Hefei, China.
³Soil Fertility Laboratory, University of Agriculture Faisalabad, Faisalabad, Pakistan.
⁴Department of Crop Biotechnology, Anhui Agricultural University, Hefei, China.

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.

Decision Support System for Agro-Technology Transfer, Sunflower, Nitrogen, Achene Yield, Crop Modeling

Ahmad, M. , Ali, A. , Khan, A. , Jamro, S. , Sher, A. , Rahman, S. and Rashid, A. (2017) OILCROP-SUN Model for Nitrogen Management of Diverse Sunflower (Helianthus annus L.) Hybrids Production under Agro-Climatic Conditions of Sargodha, Pakistan. American Journal of Plant Sciences, 8, 412-427. doi: 10.4236/ajps.2017.83028.