Combined application of Pseudomonas fluorescens and Purpureocillium lilacinum liquid formulations to manage Globodera spp on potato
Publish place: Journal of Crop Protection، Vol: 6، Issue: 4
Publish Year: 1396
نوع سند: مقاله ژورنالی
زبان: English
View: 43
This Paper With 9 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_JCP-6-4_009
تاریخ نمایه سازی: 13 آبان 1402
Abstract:
Potato cyst nematodes (PCN), Globodera rostochiensis and Globodera pallida are major limiting factors to potato cultivation globally. Effective use of nematode antagonistic bio-agents is a potentially important component of the eco-friendly agro-farming. Pseudomonas fluorescens and Purpureocillium lilacinum are known for their nematode antagonistic potential and plant growth promotion ability. The effect of seed treatment with liquid suspension of P. fluorescens at ۱ l/ton seeds and soil drenching with suspension of P. lilacinum at ۵ l/ha, singly and jointly, was studied to minimize the damage caused by PCNin potato plants under field conditions in two regions in India. Both applications showed significantly greater PCN suppression and better plant growth promotion in comparison to solo application. The both application showed the highest reduction of cyst population (۷۵.۷%) in soil, female population (۷۹.۹%) in root and egg numbers per soil of each location (۸۴%). The potato plants from P. fluorescens-seed treatment and P. lilacinum-soil drenching both applied plots were ۳۳.۵% taller with ۴۵.۶% more number of tubers than untreated plants. The tuber yield was also significantly higher (۳۵.۹%) in both application than untreated control. There was no significant difference on the root colonization of P. fluorescens and P. lilacinum in solo and both treatments.
Keywords:
Authors
Seenivasan Nagachandrabose
Department of Nematology, Tamil Nadu Agricultural University, Coimbatore ۶۴۱۰۰۳, Tamil Nadu, India.
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 :