%0 Journal Article
%T OILCROP-SUN Model for Nitrogen Management of Diverse Sunflower (<i>Helianthus annus</i> L.) Hybrids Production under Agro-Climatic Conditions of Sargodha, Pakistan
%A Muhammad Irfan Ahmad
%A Amjed Ali
%A Aaqil Khan
%A Sikandar Ali Jamro
%A Alam Sher
%A Shafeeq-ur Rahman
%A Arif Rashid
%J American Journal of Plant Sciences
%P 412-427
%@ 2158-2750
%D 2017
%I Scientific Research Publishing
%R 10.4236/ajps.2017.83028
%X 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. </span><i><span style=\"font-family:Verdana;\">i.e.</span></i><span style=\"font-family:Verdana;\"> Hysun-33 and S-78 by applying different nitrogen levels. The effect of nitrogen
(N) on growth and yield components of different sunflower (</span><i><span style=\"font-family:Verdana;\">Helianthus annuus </span></i><span style=\"font-family:Verdana;\">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.
%K Decision Support System for Agro-Technology Transfer
%K Sunflower
%K Nitrogen
%K Achene Yield
%K Crop Modeling
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=73952