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Camelina sativa,a short gestation oilseed crop with biofuel potential:Opportunities for Indian scenario

Oil Crop Science 2021年第3期6卷 114-121页

作者： Ankur Agarwal Om Prakash Madhu Bala Defence Institute of Bio-Energy Research Defence R&D OrganizationGoraparaoP.O.ArjunpurHaldwaniUttarakhand263139India

Camelina is an oilseed crop which is being commercially produced globally as feedstock for *** a non-edible oil bearing low input crop owing to its low fertilizer and water requirement,fits well for biofuel *** India,targets for biofuel blending has been set by New Biofuel Policy-2018 and to meet these targets efforts are being made to harness the potential of available feedstock in the *** these feedstock,contribution of short gestation oilseed bearing crop has been very *** has been introduced in India during 2009–10 as experimental crop by DIBER,*** then various efforts have made to standardize the production technology of this crop under various agro-climatic regions of the country,crop improvement,oil quality analysis and development of high energy *** has various advantages to offer for Indian biofuel *** paper reviews the potential of this crop for Indian Biofuel scenario.

关键词： Camelina False flax Production agro-technology Crop improvement Economics

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OILCROP-SUN Model for Nitrogen Management of Diverse Sunflower (<i>Helianthus annus</i>L.) Hybrids Production under agro-Climatic Conditions of Sargodha, Pakistan

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American Journal of Plant Sciences 2017年第3期8卷 412-427页

作者： Muhammad Irfan Ahmad Amjed Ali Aaqil Khan Sikandar Ali Jamro Alam Sher Shafeeq-ur Rahman Arif Rashid University College of Agriculture University of Sargodha Sargodha Pakistan School of agronomy Anhui Agricultural University Hefei China Soil Fertility Laboratory University of Agriculture Faisalabad Faisalabad Pakistan Department 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.

关键词： Decision Support System for agro-technology Transfer Sunflower Nitrogen Achene Yield Crop Modeling

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OILCROP-SUN Model Relevance for Evaluation of Nitrogen Management of Sunflower Hybrids in Sargodha, Punjab

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American Journal of Plant Sciences 2013年第9期4卷 1731-1735页

作者： Ashfaq Ahmad Amjed Ali Tasneem Khaliq Syed Aftab Wajid Zafar Iqbal Muhammad Ibrahim Hafiz Muhammad Rashad Javeed Gerrit Hoogenboom agro-Climatology Lab University of Agriculture Faisalabad Pakistan College of Agriculture D. G. Khan Pakistan NFC Institute of Engineering and technology Multan Pakistan University College of Agriculture University of Sargodha Sargodha Pakistan Washington State University Pullman USA.

The experiments were conducted to evaluate the performance of crop system (DSSAT) OILCROP-SUN model simulating growth & development and achene yield of sunflower hybrids in response to nitrogen under irrigated conditions in semi arid environment, Sargodha, Punjab. The model was evaluated with observed data collected in trials which were conducted during spring season in 2010 and 2011 in Sargodha, Punjab, Pakistan. Split plot design was used in layout of experiment with three replications. The hybrids (Hysun-33 & S-278) and N levels (0, 75, 150 and 225 ***-1) were allotted in main and sub plots, respectively. The OILCROP-SUN model showed that the model was able to simulate growth and yield of sunflower with an average of 10.44 error% between observed and simulated achene yield (AY). The results of simulation analysis indicated that nitrogen rate of 150 ***-1 (N3) produced the highest yield as compared to other treatments. Furthermore, the economic analysis through mean Gini Dominance also showed the dominance of this treatment compared to other treatment combinations. Thus management strategy consisting?of treatment 150 ***-1 was the best for high yield of sunflower hybrids.

关键词： Decision Support System for agro-technology Transfer Nitrogen Achene Yield Crop Modeling

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