Phytotoxicity of Some Medicinal Plants Residues on Emergence and Establishment Criteria of Canola
Publish Year: 1400
نوع سند: مقاله ژورنالی
زبان: English
View: 82
This Paper With 11 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_JJMPB-10-0_002
تاریخ نمایه سازی: 6 آذر 1402
Abstract:
The effect of the phytotoxicity of black cumin, dragonhead, dill and soybeans was investigated on the emergence and early growth criteria of canola. Experiment was conducted as factorial based on a completely randomized design with three replications under greenhouse conditions, Shahrekord University, ۲۰۱۶. The experimental factors consisted of four species of plants (soybean, black cumin, dragonhead and dill), two fertilizer types (organic and chemical fertilizers) and two levels of plant residue (without and with residue). The results showed that the black cumin residue in soil treated with both organic and chemical fertilizers reduced the dry weight of canola seedling. In soil fertilized with organic manure, the effects of all four plants residues were the same. The chlorophyll b and carotenoid contents of canola seedling significantly decreased in soil with chemical fertilizer and black cumin or dragonhead residues. In soil fertilized with organic manure, there were no significant differences in the effects of the soybean, black cumin and dill residues. In general, the cultivation of autumn canola should be delayed until the plant residues from black cumin, dragonhead, dill and soybean have been removed or until their effects have dissipated after harvest.
Keywords:
Authors
Sina Fallah
Faculty of Agriculture, Shahrekord University, Shahrekord, Iran
Marzieh Rostami
Faculty of Agriculture, Shahrekord University, Shahrekord, Iran
Ali Abbasi Surki
Faculty of Agriculture, Shahrekord University, Shahrekord, Iran
Mohammad Rafieiolhossaini
Faculty of Agriculture, Shahrekord University, Shahrekord, Iran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :