scholarly journals Nanotechnological Approaches in Sustainable Agriculture and Plant Disease Management

2020 ◽  
Author(s):  
Siddhartha Das ◽  
Sudeepta Pattanayak
Keyword(s):  
Disease Management ◽  
Positive Impact ◽  
Insect Pest ◽  
Soil Health ◽  
Fundamental Aspect ◽  
High Price ◽  
Maximum Effect ◽  
Biotic Stresses ◽  
Agricultural Applications ◽  
Plant Disease Management

Every year approximately 30–50% of crops suffer with different kinds of biotic stresses. Rapidly growing agrochemical industries and their diverse products make the environment more toxic and simultaneously hazardous for plant heath and soil health. Such types of agrochemicals are toxic, hazardous, carcinogenic, non-eco-friendly. Therefore, this is the ideal time to think about some more effective alternatives against those problems. Nanotechnological approaches bring the alternatives in the form of decreasing toxicity, improving shelf-life, increasing solubility for poorly water-soluble agrochemicals, minimum use with maximum effect, slow leaching efficiency with long-term effect with coupling of eco-friendly naturalistic way. The way of nanoparticle application in agriculture, specifically disease management, is unique, where it can be used singly or by coupling with fungicidal, herbicidal, insecticidal, RNA-interference molecules. Though it has such a positive impact, very few products will be commercially available in our market due to high price of particular products and well-established long field trial efficacy detection among insect, pest-pathogen, and environment. Application of nanomolecules in other progressive fields has been emerging, whereas advancement in agricultural applications needs to be boosted up through skilled knowledge transfer and basic understanding of its fundamental aspect.

scholarly journals Indigenous Technical Knowledge in Plant Disease Management

2021 ◽  
pp. 377-380
Author(s):  
Hari Prasanna Sahu ◽  
Rakesh Roshan Satapathy
Keyword(s):  
Disease Management ◽  
Plant Disease ◽  
Insect Pest ◽  
Cost Effective ◽  
Technical Knowledge ◽  
Harvest Management ◽  
Soil Fertility Management ◽  
Sustainable Environment ◽  
Indigenous Technical Knowledge ◽  
Plant Disease Management

The origins of indigenous technical/traditional knowledge are local, rural &community. It's utilised in forecasting of weather for better seed germination, soil, water, and soil fertility management, disease and insect pest control of plants & animals, and post-harvest management, among other things. India has a variety of indigenous agricultural practises which are still popular in organic agriculture in India's many states and are sustainable, environment friendly, profitable, and cost-effective. This review paper contains an overview of Indigenous Technical Knowledge in Plant Disease Management to help researchers in the future.

scholarly journals Nanotechnology for Plant Disease Management

Agronomy ◽  
2018 ◽  
Vol 8 (12) ◽  
pp. 285 ◽  
Author(s):  
Elizabeth Worrall ◽  
Aflaq Hamid ◽  
Karishma Mody ◽  
Neena Mitter ◽  
Hanu Pappu
Keyword(s):  
Disease Management ◽  
Plant Disease ◽  
Field Trials ◽  
Water Soluble ◽  
Plant Pests ◽  
Agricultural Application ◽  
Agricultural Applications ◽  
Poorly Water Soluble ◽  
Plant Disease Management ◽  
Commercial Applications

Each year, 20%–40% of crops are lost due to plant pests and pathogens. Existing plant disease management relies predominantly on toxic pesticides that are potentially harmful to humans and the environment. Nanotechnology can offer advantages to pesticides, like reducing toxicity, improving the shelf-life, and increasing the solubility of poorly water-soluble pesticides, all of which could have positive environmental impacts. This review explores the two directions in which nanoparticles can be utilized for plant disease management: either as nanoparticles alone, acting as protectants; or as nanocarriers for insecticides, fungicides, herbicides, and RNA-interference molecules. Despite the several potential advantages associated with the use of nanoparticles, not many nanoparticle-based products have been commercialized for agricultural application. The scarcity of commercial applications could be explained by several factors, such as an insufficient number of field trials and underutilization of pest–crop host systems. In other industries, nanotechnology has progressed rapidly, and the only way to keep up with this advancement for agricultural applications is by understanding the fundamental questions of the research and addressing the scientific gaps to provide a rational and facilitate the development of commercial nanoproducts.

Relation between Soil Health, Wave-like Fluctuations in Microbial Populations, and Soil-borne Plant Disease Management

2006 ◽  
Vol 115 (1) ◽  
pp. 105-122 ◽  
Author(s):  
Ariena H. C. van Bruggen ◽  
Alexander M. Semenov ◽  
Anne D. van Diepeningen ◽  
Oscar J. de Vos ◽  
Wim J. Blok
Keyword(s):  
Disease Management ◽  
Plant Disease ◽  
Soil Health ◽  
Microbial Populations ◽  
Plant Disease Management

Development of carrier-free self-assembled nanoparticles based on fenhexamid and polyhexamethylene biguanide for sustainable plant disease management

2021 ◽  
Vol 23 (6) ◽  
pp. 2531-2540
Author(s):  
Gang Tang ◽  
Yuyang Tian ◽  
Junfan Niu ◽  
Jingyue Tang ◽  
Jiale Yang ◽  
...  
Keyword(s):  
Disease Management ◽  
Plant Disease ◽  
Polyhexamethylene Biguanide ◽  
Adverse Impacts ◽  
Pesticide Formulations ◽  
Carrier Free ◽  
Self Assembled ◽  
Plant Disease Management

The utilization of nanotechnology for the design of pesticide formulations has enormous potential to enhance the efficiency of pesticides and reduce their adverse impacts on the environment

RNA interference: evolutions and applications in plant disease management

2013 ◽  
Vol 46 (12) ◽  
pp. 1430-1441 ◽  
Author(s):  
A. Karthikeyan ◽  
M. Deivamani ◽  
V.G. Shobhana ◽  
M. Sudha ◽  
T. Anandhan
Keyword(s):  
Rna Interference ◽  
Disease Management ◽  
Plant Disease ◽  
Plant Disease Management

scholarly journals Monthly Weather Forecasts in a Pest Forecasting Context: Downscaling, Recalibration, and Skill Improvement

2012 ◽  
Vol 51 (9) ◽  
pp. 1633-1638 ◽  
Author(s):  
Martin Hirschi ◽  
Christoph Spirig ◽  
Andreas P. Weigel ◽  
Pierluigi Calanca ◽  
Jörg Samietz ◽  
...  
Keyword(s):  
Insect Pest ◽  
Cydia Pomonella ◽  
Codling Moth ◽  
Lead Times ◽  
Practical Applications ◽  
Weather Forecasts ◽  
Weather Information ◽  
Agricultural Applications ◽  
Resampling Procedure ◽  
Skill Improvement

AbstractMonthly weather forecasts (MOFCs) were shown to have skill in extratropical continental regions for lead times up to 3 weeks, in particular for temperature and if weekly averaged. This skill could be exploited in practical applications for implementations exhibiting some degree of memory or inertia toward meteorological drivers, potentially even for longer lead times. Many agricultural applications fall into these categories because of the temperature-dependent development of biological organisms, allowing simulations that are based on temperature sums. Most such agricultural models require local weather information at daily or even hourly temporal resolution, however, preventing direct use of the spatially and temporally aggregated information of MOFCs, which may furthermore be subject to significant biases. By the example of forecasting the timing of life-phase occurrences of the codling moth (Cydia pomonella), which is a major insect pest in apple orchards worldwide, the authors investigate the application of downscaled weekly temperature anomalies of MOFCs for use in an impact model requiring hourly input. The downscaling and postprocessing included the use of a daily weather generator and a resampling procedure for creating hourly weather series and the application of a recalibration technique to correct for the original underconfidence of the forecast occurrences of codling moth life phases. Results show a clear skill improvement of up to 3 days in root-mean-square error over the full forecast range when incorporating MOFCs as compared with deterministic benchmark forecasts using climatological information for predicting the timing of codling moth life phases.

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