Application of sustainable natural resources in crop protection: Podophyllotoxin-based botanical pesticides derived from Podophyllum hexandrum for controlling crop-threatening insect pests

2017 ◽  
Vol 107 ◽  
pp. 45-53 ◽  
Author(s):  
Ruige Yang ◽  
Xiaobo Huang ◽  
Zhiping Che ◽  
Yuanyuan Zhang ◽  
Hui Xu
2015 ◽  
Vol 22 (2) ◽  
pp. 149-163 ◽  
Author(s):  
Maria Macedo ◽  
Caio de Oliveira ◽  
Poliene Costa ◽  
Elaine Castelhano ◽  
Marcio Silva-Filho

2009 ◽  
Vol 9 ◽  
pp. 16-22 ◽  
Author(s):  
Bhanu B. Panthi ◽  
Bhupendra Devkota ◽  
Jyoti U. Devkota

Coffee (Coffea arabica; Rubiaceae) is a potential and emerging commercial crop. Coffee is planted in the midhills of Nepal (800 to 1250 meter above mean sea level) in Gulmi and Lalitpur districts. To control the major insect pests of coffee plant, locally prepared ‘jaibik bishadi’ (botanical pesticides) are used as alternatives of the synthetic insecticides. This study was undertaken to see the contribution of ‘jaibik bishadi’ in the fertility of the coffee orchards soil, for which soil samples from botanicals used and not used coffee orchards were collected to see the level of soil characteristics and soil nutrients such as soil texture, organic matter, soil nutrients (phosphorous and potassium). There was some difference in the soil texture of topsoil, but no difference could be seen in sand, silt and clay content of the subsoils from botanical used and not used orchards. The pH was significantly different between botanical used and not used soils, but such difference could not be observed between the topsoil and subsoil from the same sites. Jaibik bishadi used to control the coffee pests significantly contributed in the soil fertility, which could be seen in high positive correlation (r=0.9886) between organic matter and nitrogen in the soil.Keywords: Coffee, jaibik bishadi, topsoil, subsoil, soil fertilityThe Journal of Agriculture and Environment Vol:9, Jun.2008 page: 16-22


2021 ◽  
Vol 3 ◽  
Author(s):  
Charlotte E. Pugsley ◽  
R. E. Isaac ◽  
Nicholas J. Warren ◽  
Olivier J. Cayre

Since the discovery of RNA interference (RNAi) in the nematode worm Caenorhabditis elegans in 1998 by Fire and Mello et al., strides have been made in exploiting RNAi for therapeutic applications and more recently for highly selective insect pest control. Although triggering mRNA degradation in insects through RNAi offers significant opportunities in crop protection, the application of environmental naked dsRNA is often ineffective in eliciting a RNAi response that results in pest lethality. There are many possible reasons for the failed or weak induction of RNAi, with predominant causes being the degradation of dsRNA in the formulated pesticide, in the field or in the insect once ingested, poor cuticular and oral uptake of the nucleic acid and sometimes the lack of an innate strong systemic RNAi response. Therefore, in the last 10 years significant research effort has focused on developing methods for the protection and delivery of environmental dsRNA to enable RNAi-induced insect control. This review focuses on the design and synthesis of vectors (vehicles that are capable of carrying and protecting dsRNA) that successfully enhance mRNA degradation via the RNAi machinery. The majority of solutions exploit the ability of charged polymers, both synthetic and natural, to complex with dsRNA, but alternative nanocarriers such as clay nanosheets and liposomal vesicles have also been developed. The various challenges of dsRNA delivery and the obstacles in the development of well-designed nanoparticles that act to protect the nucleic acid are highlighted. In addition, future research directions for improving the efficacy of RNA-mediated crop protection are anticipated with inspiration taken from polymeric architectures constructed for RNA-based therapeutic applications.


2020 ◽  
Vol 12 (4) ◽  
pp. 1388
Author(s):  
Szymon Dziuba ◽  
Anna Cierniak-Emerych ◽  
Blanka Klímová ◽  
Petra Poulová ◽  
Piotr Napora ◽  
...  

Sustainable consumption is increasingly being promoted in the face of the decreasing amount of natural resources in the world. In general, sustainable consumption means using products and services that meet human basic needs while minimizing the consumption of natural resources and reducing waste. At this point, it is worth noting that the production of organic foods is conducive to the development of sustainable consumption through, e.g., natural methods of production, without the use of artificial fertilizers and crop protection chemicals. Nowadays, more and more emphasis is put on the correlations between health and diets. Consumers who care for their health often choose organic food. Therefore, the focus of this study was on the identification and presentation of the interest in organic foods among people who provide care to patients with Alzheimer’s disease. In order to achieve this aim, the theoretical part of the study attempted to demonstrate, on the one hand, the benefits of organic food and, on the other hand, the specific nutrition of patients with Alzheimer’s disease. The achievement of the study aim was supported by the analysis of the related literature, including the results obtained by other authors. The results of the authors’ own survey conducted in 2017–2018 were also used, with the respondents being the carers and potential carers of patients with Alzheimer’s disease and medical specialists. A statistical analysis was also carried out, including Pearson’s test analysis and a correspondence analysis. The literature survey and empirical examinations led to the conclusion that organic food is characterized by health benefits which should be taken into consideration during planning of diets for patients with Alzheimer’s disease. Carers indicated the deficiency of knowledge concerning demanded diet components. They intuitively perceive the need for using organic food due to its health benefits and for the implementation of the principles of sustainable consumption. Carers are unable to identify the values which would help improve the health of patients with Alzheimer’s disease.


2017 ◽  
Vol 2 (01) ◽  
pp. 64-71
Author(s):  
Sanjeet Kumar ◽  
Opin Kumar ◽  
S. P. Singh

Sheath Blight, Disease, Rice, Distribution, Systems, Management.


MAUSAM ◽  
2021 ◽  
Vol 67 (1) ◽  
pp. 267-276
Author(s):  
AMRENDER KUMAR ◽  
A. K. JAIN ◽  
B. K. BHATTACHARYA ◽  
VINOD KUMAR ◽  
A. K. MISHRA ◽  
...  

Models are means to capture, condense and organize knowledge. These are expressions, which represent relationship between various components of a system. A well-tested weather-based model can be an effective scientific tool for forewarning insect-pests and diseases in advance so that timely plant protection measures could be taken up. Various types of techniques have been developed for the purpose. The simplest technique forms the class of thumb rules, which are based on experience. Though these do not have much scientific background but are extensively used to provide quick forewarning of the menace. Another tool in practice is regression model that represents relationship between two or more variables so that one variable can be predicted from the other (s). Linear and non-linear regression models have been widely used in studying relationship of insect-pests and diseases with time and weather variables (as such or in some transformed forms). With the advent of computers more sophisticated techniques such as simulation modelling and machine learning approach such as decision tree induction algorithms, genetic algorithms, neural networks, rough sets, etc. have been explored. A number of simulation models have been developed all over the world for quantifying effects of various factors including weather on agriculture.  These may provide a good forecast but require detailed data base, which may not be available. Machine learning approach has recently received some attention. As opposed to traditional model-based methods, machine learning approach is self adaptive methods in that there are a few a priori assumptions about the models for problem(s) under study. This technique learns more from examples and captures subtle functional relationships among the data even if the underlying relationships are unknown or hard to describe.  This modelling approach with ability to learn from experience is very useful for many practical problems provided enough data are available. Remotely sensed data can provide useful information relating to area under the crop and also the condition thereof. It has certain advantages over land use statistics due to multi-spectral, synoptic and repetitive coverage. An attempt has been made for accurate estimation of area affected by insect-pests and diseases in crops along with accurate assessment of damage due to the same are possible for providing compensation to farmers. In this study, an Integrated Decision Support System (IDSS) for Crop Protection Services is also discussed.  


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