Canola is significant oil crop and Nitrogen and sulfur act as the key plant nutrients that promote the plant growth and also raise the quality of its oil. It is very crucial to find a suitable dose of N and S for the oil crops, so keeping in view this experiment was designed in RCB design with 4 replications (each has one control plot) in research area of agriculture university Peshawar. Two factor were studied in this experiment i.e. 5 N doses (40, 80, 120, 160, 200 kg ha-1) and 3 S doses (20, 40, 60 kg ha-1). Urea was used as source of Nitrogen and ammonium sulphate was used as a source of sulfur. After analysis of the data the results revealed that Fertilizer applied plots showed best performance in all measured parameters as compared to control plots. In the case of N in 160 kg N ha-1 treated plots, maximum protein content, glucosinolate content, and erucic acid (percent) as well as grain yield was recorded, except oil contents which was higher at 20 kg N ha-1 plots, while on other hand S application, whereas Sulfur applied @ 40 kg ha-1 produced maximum Grain yield, oil content, protein content, Glucosinolate contents and erucic acid. It was determined that applying N @ 120 to 160 kg ha-1 in association with 40 kg S ha-1 resulted high yield and better oil quality, and thus recommended for boosting grain productivity and in raising the standard of canola oil.
Research Article · Volume 8, Issue 1, 25 June 2022 · Open Access
RETRACTED: Enhancing Grain Yield and Improving Oil Quality of Canola Through the Application of Sulfur and Nitrogen in Agro-Climatic Condition of Peshawar, Pakistan
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Affiliations & Notes ⌄
- 1Department of Biology and Environmental Sciences, Allama Iqbal Open University, Islamabad, Pakistan
- 2Department of Agronomy, the University of Agriculture, Peshawar, Pakistan
- 3Department of Biological Sciences, International Islamic University, Islamabad, Pakistan
- 4Department of Botany, Pir Mehr Ali Shah Arid Agriculture University-46300, Rawalpindi, Pakistan
- 5Director Consultancy and Research Green Environ Soil, Pvt. Limited Islamabad, Pakistan
- 6Department of Plant Sciences, Quad-I-Azam University Islamabad, Pakista
- 7Department of Horticulture, The University of Agriculture Peshawar, Pakistan
- 8Department of Chemistry, COMSATS University Islamabad, Pakistan. *Correspondence | Muhammad Bakhtiar, Department of Biology and Environmental Sciences, AIOU Islamabad, Pakistan
- 9Email: bakhtiar.aup199@gmail.com
Article Info ⌄
- Journal:
- Journal of Innovative Sciences
- Published:
- 25 June 2022
Abstract
Figures
Grain yield (kg ha-1) as affected by different N levels. Different letters over the vertical bars represent means significant difference within each category.
Grain yield (kg ha-1) as affected by different S levels. Different letters over the vertical bars represent means significant difference within each category.
Oil contents (%) as affected by different N levels. Different letters over the Vertical bars represent means significant difference within each category.
Oil contents (%) as affected by different S levels. Different letters over the vertical bars represent means significant difference within each category.
Protein contents (%) as affected by different N levels. Different letters over the vertical bars represent means significant difference within each category.
Protein contents (%) as affected by different S levels. Different letters over the vertical bars represent means significant difference within each category.
Glucosinolate content (μ mol g-1) as affected by different N levels. Different letters over the vertical bars represent means significant difference within each category.
Glucosinolate content (μ mol g-1) as affected by different S levels. Different letters over the vertical bars represent means significant difference within each category.
Erucic acid (%) as affected by different N levels. Different letters over the vertical bars represent means significant difference within each category.
Erucic acid (%) as affected by different S levels. Different letters over the vertical bars represent means significant difference within each category.
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