scholarly journals Efficacy of Some Treatments Applied for Prevention and Control of the Main Foliar Diseases of Barley

Author(s):  
Zohyr Abdul Kader YASEEN ◽  
Vasile Constantin FLORIAN

Agricultural research has allowed for a reduction of dependence on certain chemical products employed. The environmental impact, the employment and preservation of natural resources are increasingly visible. There was a clear evolution worldwide of agricultural research, but nevertheless disease and pests of crop plants continue to be highly damaging. Plant diseases, animal parasites and weeds are restricting factors of the utmost peril for crop plants’ production. Plant protection must thus exert a limit on the action of these factors making use of means that are appropriate both on an ecologic and an economic level. According to experimental data for the 2006-2009 period, good results were obtained in the case vegetation (foliar) treatments with Falcon, Tango and Amistar.

Pathogens ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 1004
Author(s):  
Veronica Cappa ◽  
Monica Pierangela Cerioli ◽  
Alessandra Scaburri ◽  
Marco Tironi ◽  
Marco Farioli ◽  
...  

The first events of bee decline in Italy were reported during 1999. Since then, population decline has frequently been reported in Lombardy. In this study, the association between bee decline and the type of land surrounding the apiary was evaluated. A risk map was developed to identify areas with the highest risk of decline. Apiaries in Lombardy were selected from the national beekeeping database (BDA). The study period was from 2014 to 2016. Apiaries were deemed “declined” if they reported at least one event of decline or tested positive for plant protection products; apiaries were “not declined” if they did not report any events of bee decline during the study period. Out of 14,188 apiaries extracted from the BDA, 80 were considered declined. The probability of an apiary being declined increases by 10% in orchards and by 2% in arable land for each additional km2 of land occupied by these crops. The study showed an association between bee decline and the type of territory surrounding the apiaries, and the areas at the greatest risk of decline in Lombardy were identified. This information can be used by Veterinary Services as a predictive parameter for planning prevention and control activities.


2018 ◽  
Author(s):  
Kossi Kini ◽  
Raoul Agnimonhan ◽  
Rachelle Dossa ◽  
Drissa Silué ◽  
Ralf Koebnik

AbstractBackgroundThe genusPantoeaforms a complex of more than 25 species, among which several cause diseases of several crop plants, including rice. Notably, strains ofPantoea ananatisandPantoea stewartiihave been found to cause bacterial leaf blight of rice in Togo and Benin, while other authors have observed thatPantoea agglomeranscan also cause bacterial leaf blight of rice. The contribution of these and perhaps other species ofPantoeato plant diseases and yield losses of crop plants is currently not well documented, partly due to the lack of efficient diagnostic tools.ResultUsing 34 whole genome sequences of the three-major plant-pathogenicPantoeaspecies, a set of PCR primers that specifically detect each of the three species,P. agglomerans,P. ananatis, andP. stewartii, was designed. A multiplex PCR protocol which can distinguish these three species and also detects members of otherPantoeaspecies was further developed. Upon validation on a set of reference strains, 609 suspectedPantoeastrains that were isolated from rice leaves or seeds originating from 11 African countries were screened. In total, 41P. agglomeransstrains from eight countries, 79P. ananatisstrains from nine countries, 269P. stewartiistrains from nine countries and 220 unsolvedPantoeastrains from ten countries were identified. The PCR protocol allowed detectingPantoeabacteria grown in vitro, in planta and in rice seeds. The detection threshold was estimated at 5 ng/mL of total genomic DNA and 1 × 105CFU/mL of heated cells.ConclusionThis new molecular diagnostic tool will help accurately diagnose major plant-pathogenic species ofPantoea. Due to its robustness, specificity, sensitivity, and cost efficiency it will be very useful for plant protection services and for the epidemiological surveillance of these important crop-threatening bacteria.


Biosfera ◽  
2017 ◽  
Vol 34 (3) ◽  
pp. 144 ◽  
Author(s):  
Erni Angraini

The growth of oil palm can not be separated from disease attack. One of the diseases that attack is the Base Stem Rot disease caused by Ganoderma boninense. Efforts to control the pest and disease one of them by using Lentinus Cladopus LC4 biological controller so that the purpose of this study is to determine the potential of L.cladopus LC4 as biological controlling agent G. boninense. The method used is L. cladopus LC4 antagonism test against G. boninense. The results showed that L. cladopus LC4 had antagonistic potency against G. boninense pathogen, although the mechanism did not show any inhibition zone. Therefore, L.cladopus LC4 may be considered for the prevention and control of plant diseases in the field.


Plant Disease ◽  
2021 ◽  
Author(s):  
Kossi Kini ◽  
Raoul Agnimonhan ◽  
Rachelle Dossa ◽  
Drissa Silué ◽  
Ralf Koebnik

The genus Pantoea forms a complex of more than 25 species, among which several cause diseases of various crop plants, including rice. Notably, strains of Pantoea ananatis and Pantoea stewartii have been repeatedly reported to cause bacterial leaf blight of rice, whereas other authors have observed that Pantoea agglomerans can also cause bacterial leaf blight of rice. The contribution of these and perhaps other species of Pantoea to plant diseases and yield losses of crop plants is currently not well documented, partly due to the lack of efficient diagnostic tools. Using 32 whole genome sequences of the three major plant-pathogenic Pantoea species, a set of PCR primers that detect each of the three species, P. agglomerans, P. ananatis, and P. stewartii, was designed. A multiplex PCR scheme which can distinguish these three species and also detects members of other Pantoea species was further developed. Upon validation on a set of reference strains, 607 suspected Pantoea strains that were isolated from rice leaves or seeds originating from eleven African countries were screened. In total, 41 P. agglomerans strains from eight countries, 79 P. ananatis strains from nine countries, 269 P. stewartii strains from nine countries and 218 unresolved Pantoea strains from ten countries were identified. The PCR protocol allowed detecting Pantoea bacteria grown in vitro, in planta and in rice seeds. The detection threshold was estimated at 0.5 ng/μl of total genomic DNA and 1×10^4 CFU/ml of heated cells. This new molecular diagnostic tool will help accurately diagnosing major plant-pathogenic species of Pantoea. Due to its robustness, specificity, sensitivity and cost efficiency, it will be very useful for plant protection services and for the epidemiological surveillance of these important crop-threatening bacteria.


2019 ◽  
Vol 13 (3) ◽  
pp. 384-396
Author(s):  
Silvia E. Barrera ◽  
Stalin-Wladimir Sarango-Flóres ◽  
Sandra-Patricia Montenegro-Gómez

Microorganisms are essential for life on Earth. They are found in different environments and conditions, such as pH, temperature, pressure, and humidity, etc. In natural and agricultural ecosystems, nutrient cycling and plant protection are important roles played by microorganisms associated with plant species. However, the mechanisms to colonize those environments are not fully understood. This mini-review describes bacterial communities associated with the phyllosphere and an agricultural approach for potential applications. In the context of foodborne illnesses and losses in agricultural production, important issues have arisen because of pathogen attacks. On the other hand, the use of beneficial microorganisms in agriculture is an alternative for improving plant growth, health and production. In this sense, growth promoting bacteria and biocontrol agents isolated from the phyllosphere of several plant species have been less exploited than those from the soil or rhizosphere. However, the treatment of some plant diseases, reduction in pathogen incidence and nitrogen fixation in natural and agricultural systems are successful examples. In the context of food safety, a better understanding of how the indigenous phyllosphere microbiota enable plants to protect themselves against pathogens and to acquire nutrients is expected to prove its importance in the agricultural field. Microbial sources can be managed to reduce the use of chemical products and could be used as an alternative of agronomical applications for improving agroecosystem productivity.


Author(s):  
Sathya V ◽  
Rafidha H ◽  
Sumitha Rani G

The purpose of Agriculture is not only to feed ever growing population but it’s an important source of energy and a solution to solve the problem of global warming. Plant diseases are extremely significant, as that can adversely affect both quality and quantity of crops in agriculture production. Plant disease diagnosis is very essential in earlier stage in order to cure and control them. Generally the naked eye method is used to identify the diseases. In this method experts are involved who have the ability to detect the changes in leaf color. This method involves lots of efforts, takes long time and also not practical for the large fields. Many times different experts identify the same disease as the different disease. This method is expensive as it requires continuous monitoring of experts. Tree leaves and fruit diseases can increase the cost of agricultural production and may extend to total economic disaster of a producer if not cured appropriately at early stages. The producers need to monitor their crops and detect the first symptoms in order to prevent the spread of a plant disease, with low cost and save the major part of the production. Hiring professional agriculturists may not be affordable especially in remote isolated geographic regions. Machine learning algorithm in image can offer an alternative solution in plant monitoring and such an approach may anyway be controlled by a professional to offer his services with lower cost. It includes image segmentation and image classification approach to predict various types of diseases using Otsu thresholding method and convolutional neural network method.


2005 ◽  
Vol 24 (4, Suppl) ◽  
pp. S106-S110 ◽  
Author(s):  
Kevin D. McCaul ◽  
Ellen Peters ◽  
Wendy Nelson ◽  
Michael Stefanek

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