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has been cited by the following article:

• 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.