Добірка наукової літератури з теми "Rust Management Mechanism"

In a world with constant population growth, and in the context of climate change, the need to supply the demand of safe crops has stimulated an interest in ecological products that can increase agricultural productivity. This implies the use of beneficial organisms and natural products to improve crop performance and control pests and diseases, replacing chemical compounds that can affect the environment and human health. Microbial biological control agents (MBCAs) interact with pathogens directly or by inducing a physiological state of resistance in the plant. This involves several mechanisms, like interference with phytohormone pathways and priming defensive compounds. In Argentina, one of the world’s main maize exporters, yield is restricted by several limitations, including foliar diseases such as common rust and northern corn leaf blight (NCLB). Here, we discuss the impact of pathogen infection on important food crops and MBCA interactions with the plant’s immune system, and its biochemical indicators such as phytohormones, reactive oxygen species, phenolic compounds and lytic enzymes, focused mainly on the maize–NCLB pathosystem. MBCA could be integrated into disease management as a mechanism to improve the plant’s inducible defences against foliar diseases. However, there is still much to elucidate regarding plant responses when exposed to hemibiotrophic pathogens.

The output and quality of apples were greatly threatened by plant diseases. Identifying the types and grades of diseases in time was helpful to the management of diseases. When the disease occurs on a leaf, there was little change in the leaf except for the affected area. The traditional attention mechanism changed the weight of the network to all pixels in the image, which affected the ability of the network to extract the features of the lesion area. And the traditional method of data enhancement was easy to cause local similarity and local discontinuity of all sample features in the same disease grade. In this paper, the improved metric matrix for kernel regression (IMMKR) was used to reduce the influence of local similarity and local discontinuity of all sample features in the same class. Then, a new attention mechanism by fusing the lesion location based on visual features was proposed, and the attention of the model to the lesion area was strengthened. The experiments were carried out on three different diseases of apple named black rot, scab, and rust. The accuracy rate and recall rate of the new method on the combined dataset of PlantVillage and PlantDoc were 91.55% and 92.06%, respectively, which was superior to existing methods. This algorithm has important reference significance for the identification and promotion of crop diseases.

ABSTRAKTanaman karet ialah tanaman yang sangat diutamakan untuk tingkat perekonomian karena hasil dari penjualan karet ini sangat mempengaruhi tingkat kesejahteraan petani. Kegiatan pengabdian masyarakat ini bertujuan untuk mengetahui sistem pemeliharaan dan pengelolaan serta kondisi sosial ekonomi petani karet di desa sungai duren. Kegiatan pengabdian masyarakat ini menggunakan metode wawancara dan observasi secara langsung kepada petani karet di desa sungai duren serta menerapkan mekanisme pengelolaan karet secara mandiri dan menyerahkannya kepada pihat lain. Penerapan tersebut dilakukan oleh petani karet berdasarkan perspektif pilihan rasional mereka, mekanisme pengelolaan yang dipilih para petani karet ini berdampak pada ketimpangan pendapatan yang mereka proleh. Dari hasil observasi yang telah dilakukan penulis, pada umumnya petani disana umumnya petani disana melakukan perawatan dengan cara sederhana yaitu dengan pembibitan, pengelolaan tanah, penanaman dan penyulaman karat, serta pemupukan. Sistem pengelolan kebun karet di desa sungai duren sudah cukup baik dikarenakan sistem pengelolaan yang dilakukan ketentuan sistem produksi dalam penanaman kebun karet. Kata kunci: karet rakyat; sistem pengelolan; sosial ekonomi; desa sungai duren. ABSTRACTRubber plants are plants that are highly prioritized for the economic level because the results and sales of rubber greatly affect the welfare of farmers. This community service activity aims to determine the system of maintenance and management as well as the socio-economic conditions of rubber farmers in Sungai Duren Village. Direct observation to rubber farmers in the Sungai Duren village implementing an independent rubber management mechanism and hand it over to the other party. The application carried out by rubber farmers based on the perspective their rational choice of management mechanism chosen by these rubber farmers impact on their income inequality. And based on the observations made by the author, in general, farmers there generally carry out maintenance in a simple way, namely by nursery, soil management, planting and replanting rust, and fertilization. Rubber plantation management system in the village Duren River is quite good because the management system is carried out by the provisions of the production system in planting rubber plantations Keywords: community rubber, management system, socio-economic of sungai duren village

Accurate disease severity assessment is critical for plant breeders, as it directly impacts crop yield. While hyperspectral remote sensing has shown promise for disease severity assessment in breeding experiments, most studies have focused on either leaf or canopy levels, neglecting the valuable insights gained from a combined approach. Moreover, many studies have centered on experiments involving a single disease and a few genotypes. However, this approach needs to accurately represent the challenges encountered in field conditions, where multiple diseases could occur simultaneously. To address these gaps, our current study analyses a combination of diseases, yellow rust, brown rust, and yellow leaf spots, collectively evaluated as the percentage of the diseased leaf area relative to the total leaf area (DA) at both leaf and canopy levels, using hyperspectral data from an ASD field spectrometer. We quantitatively estimate overall disease severity across fifty-two winter durum wheat genotypes categorized into early (medium milk) and late (late milk) groups based on the phenophase. Chlorophyll content (CC) within each group is studied concerning infection response, and a correlation analysis is conducted for each group with nine vegetation indices (VI) known for their sensitivity to rust and leaf spot infection in wheat. Subsequent parametric (linear and polynomial) and nonparametric (partial least squares and kernel ridge) regression analyses were performed using all available spectral bands. We found a significant reduction in Leaf CC (>30%) in the late group and Canopy CC (<10%) for both groups. YROI and LRDSI_1 are the VIs that exhibited notable and strong negative correlations with Leaf CC in the late group, with a Pearson coefficient of −0.73 and −0.72, respectively. Interestingly, spectral signatures between the early and late disease groups at both leaf and canopy levels exhibit opposite trends. The regression analysis showed we could retrieve leaf CC only for the late group, with R2 of 0.63 and 0.42 for the cross-validation and test datasets, respectively. Canopy CC retrieval required separate models for each group: the late group achieved R2 of 0.61 and 0.37 (cross-validation and test), while the early group achieved R2 of 0.48 and 0.50. Similar trends were observed for canopy DA, with separate models for early and late groups achieving comparable R2 values of 0.53 and 0.51 (cross-validation) and 0.35 and 0.36 (test), respectively. All of our models had medium accuracy and tended to overfit. In this study, we analyzed the spectral response mechanism associated with durum wheat diseases, offering a novel crop disease severity assessment approach. Additionally, our findings serve as a foundation for detecting resistant wheat varieties, which is the most economical and environmentally friendly management strategy for wheat leaf diseases on a large scale in the future.

Effective management practices are essential for controlling rust outbreaks. The main control method used is the application of fungicides, which increases substantially the cost of production and is harmful to the environment. Prevention is still the best way to avoid more significant losses in soybean yields. Alternatives, such as planting resistant varieties to the fungus, are also important. The use of resistant or tolerant varieties is the most promising method for controlling Asian soybean rust. Recently, five dominant genes resistant to soybean rust were described: Rpp1, Rpp2, Rpp3, Rpp4 and Rpp5. However, little is known about the molecular interaction among soybean plant and soybean rust and on the molecular pathway triggered by pathogen recognition. Understanding the molecular mechanisms involved in defense responses is of primary importance for planning strategies to control stress and, consequently, to increase plant adaptation to limiting conditions.

Agriculture is one of the most vulnerable sectors to climate change impact. The main purpose of the study is to find the recent production of major cereal crops as rice, maize, and wheat per unit area in Banepa municipality, as a case study to the local trends and adaptation. The study was conducted among the household of ward No. 1, 3, 4, 5, 7, 8, 9, 10, and 11 in the Municipality. Field observation, in-depth interview, focus group discussion, Questionnaire survey methods were adopted for information collection, cross-validation with verification and using a secondary source of the information. Monthly precipitation and monthly minimum and maximum air temperatures data of Dhulikhel station were used to study their annual and seasonal trends. Time-series annual yield data in rice, maize, and wheat were collected from the Ministry of Agriculture and Livestock Development. Production was also accessed from the local level in a cross-sectional survey. Temperature and precipitation were collected from the Department of Hydrology and Metrology. The Survey indicated that yields have increased for major cereal crops and this led to an increase in the use of chemical fertilizer, chemical pesticides, improved seed, and improved management practices. The impacts of these changes have resulted in an increased attack of white grub in roots and maize smut in cobs, rice blast in panicle and stem, rust and blight disease and grain borer in wheat. The major issues for farmers were found to be a deficit of inorganic fertilizers, an insufficient supply of quality seeds and an unsystematic market. The coping mechanism for climate change in farming was not applied due to a lack of knowledge, facilities, and access to improved technologies. The farmers expected advanced technological know-how along with other facilities for climate-resilient farming. This study concludes that change in climate is affecting the agriculture in Banepa Municipality of Kabhrepalancchok. The existing local and institutional strategies are not sufficient and sustainable to cope with climatic vagaries. It is very important to address the problems in this region with institutional support and through a long-term policy perspective.

Excelling at one’s job can be a challenge. Trying to do it for two jobs—concurrently—can be beyond difficult, yet that situation is not uncommon in evolving organizations that utilize acting appointments to bridge gaps during periods of change. In this column, Greg MacAyeal outlines the many facets of acting appointments—both the positive and the less so. MacAyeal provides much food for thought for those who may be tapped to take on such roles or are already negotiating their way through them. His insights are worthy of consideration by anyone who is juggling an acting position or thinking about doing so, as well as by administrations who rely on this mechanism during times of transition.—Editor

Rust, induced by the fungus Uromyces appendiculatus, is one of the most serious bean diseases. The involved mechanisms in rust resistance were evaluated in 10 common bean genotypes during the 2019/2020 and 2020/2021 growing seasons. The disease parameters such as final rust severity (FRS%), area under the disease progress curve (AUDPC) and disease increase rate (r-value) were lower in the resistant genotypes than in highly susceptible genotypes. Biochemical compounds such as total phenols and the activity of antioxidant enzymes such as catalase, peroxidase and polyphenol oxidase were increased in the resistant genotypes compared to susceptible genotypes. In the resistance genotypes, the levels of oxidative stress markers such as hydrogen peroxide (H2O2) and superoxide (O2•−) increased dramatically after infection. The electrolyte leakage percentage (EL%), was found to be much greater in susceptible genotypes than resistant genotypes. The resistant gene SA14, which was found in genotypes Nebraska and Calypso at 800 bp, had an adequate level of resistance to bean rust with high grain yield potential. After infection, the transcriptions levels of 1,3-D-glucanases and phenylalanine ammonia lyase) were higher in the resistant genotypes than susceptible genotypes. In conclusion, the resistant genotypes successfully displayed desirable agronomic traits and promising expectations in breeding programs for improving management strategies of common bean rust disease. The resistance was mediated by antioxidant enzymes, phenolic compounds, and defense gene expressions, as well as the resistant gene SA14.

L'IoT social est un nouveau paradigme qui améliore la navigabilité des réseaux IoT et stimule la découverte de services en intégrant les contextes sociaux. Néanmoins, ce paradigme est confronté à plusieurs défis qui réduisent la qualité de ses performances. La confiance, en particulier les attaques de confiance, est l'un des défis les plus importants. Certains utilisateurs adoptent des comportements malveillants et lancent des attaques pour propager des services malveillants. Un mécanisme de gestion de la confiance est devenu une exigence majeure dans l'IoT social pour prévenir ces attaques en temps réel et garantir des expériences dignes de confiance pour les utilisateurs finaux. Cependant, peu de travaux ont abordé les questions de gestion de la confiance pour prévenir les attaques de confiance dans les environnements de l'IoT social. La plupart des études ont été menées pour détecter les attaques en mode hors ligne avec ou sans spécification du type d'attaque réalisée. En outre, elles n'ont pas pris en compte les propriétés de sécurité, telles que la cryptographie, la transparence et l'immutabilité, etc. A cet égard, nous devons traiter les transactions en continu pour prévenir ces attaques au niveau de la génération des transactions en temps réel tout en maintenant les propriétés de sécurité. Pour ce faire, nous avons comparé les techniques et technologies utilisées précédemment, dont le point commun est la prévention des attaques dans les contextes sociaux et l'IoT. Sur la base de ces comparaisons, nous avons indiqué que la technologie blockchain peut aider à développer un mécanisme de gestion de la confiance qui peut prévenir les attaques de confiance tout en maintenant la sécurité. Pour le temps réel, nous avons proposé de combiner un moteur de traitement de flux distribué, connu sous le nom d'Apache Spark, avec la technologie blockchain. Notre choix est basé sur une comparaison des moteurs de traitement de flux de données open source. En conséquence, nous proposons un nouveau mécanisme de gestion de la confiance, basé sur la blockchain et Apache Spark. Ce mécanisme permet de prévenir en temps réel tous les types d'attaques de confiance effectuées par des nœuds malveillants, afin d'obtenir un environnement fiable. L'expérimentation réalisée sur un jeu de données réelles nous permet de prouver la performance de notre proposition
The social IoT is a new paradigm that enhances the navigability of IoT networks and boosts service discovery by integrating social contexts. Nonetheless, this paradigm faces several challenges that reduce its performance quality. Trust, particularly trust attacks, is one of the most significant challenges. Some users resort to malicious behaviors and launch attacks to propagate malicious services. A trust management mechanism has become a major requirement in Social IoT to prevent these attacks in real-time and ensure trustworthy experiences for end-users. However, few studies have addressed trust management issues to prevent trust attacks in Social IoT environments. Most studies have been conducted to detect offline attacks with or without specifying the type of attack performed. Moreover, they did not consider security properties, such as cryptography, transparency, and immutability, etc. In fact, we must continuously process transactions to prevent these attacks at the transaction generation level while maintaining security properties. For this, we compared the previously used techniques and technologies, whose common point is attack prevention in the SN and IoT areas. Based on these comparisons, we indicated that blockchain technology can assist in developing a trust management mechanism that can prevent trust attacks while maintaining security. For real-time prevention, we proposed the combination of a distributed stream processing engine, known as Apache Spark, with blockchain technology. Our choice is based on a comparison of open-source data-stream processing engines. As a result, we propose a new trust management mechanism, based on blockchain and Apache Spark. This mechanism permit to prevent in real-time all trust attack types performed by malicious nodes, in order to obtain a reliable environment. Experimentation made on a real data-set enable us to prove the performance of our proposition

Presented reasearch aimed to develop and analyse the suitability of the CART models for prediction of the extent and probability of occurrence of damage to outer soil layers caused by timber harvesting performed under varied conditions. Having employed these models, the author identified certain methods of logging works and conditions, under which they should be performed to minimise the risk of damaging forest soils. The analyses presented in this work covered the condition of soils upon completion of logging works, which was investigated in 48 stands located in central and south-eastern Poland. In the stands selected for these studies a few felling treatments were carried out, including early thinning, late thinning and final felling. Logging works were performed with use of the most popular technologies in Poland. Trees were cut down with chainsaws and timber was extracted by means of various skidding methods: with horses, semi-suspended skidding with the use of cable yarding systems, farm tractors equipped with cable winches or tractors of a skidder type, and forwarding employing farm tractors with trailers loaded mechanically by cranes or manually. The analyses also included mechanised forest operation with the use of a harvester and a forwarder. The information about the extent of damage to soil, in a form of wheel-ruts and furrows, gathered in the course of soil condition inventory served for construction of regression tree models using the CART method (Classification and Regression Trees), based on which the area, depth and the volume of soil damage under analysis, wheel-ruts and furrows, were determined, and the total degree of all soil disturbances was assessed. The CART classification trees were used for modelling the probability of occurrence of wheel-ruts and furrows, or any other type of soil damage. Qualitative independent variables assumed by the author for developing the models included several characteristics describing the conditions under which the logging works were performed, mensuration data of the stands and the treatments conducted there. These characteristics covered in particular: the season of the year when logging works were performed, the system of timber harvesting employed, the manner of timber skidding, the means engaged in the process of timber harvesting and skidding, habitat type, crown closure, and cutting category. Moreover, the author took into consideration an impact of the quantitative independent variables on the extent and probability of occurrence of soil disturbance. These variables included the following: the measuring row number specifying a distance between the particular soil damage and communication tracks, the age of a stand, the soil moisture content, the intensity of a particular cutting treatment expressed by units of harvested timber volume per one hectare of the stand, and the mean angle of terrain inclination. The CART models developed in these studies not only allowed the author to identify the conditions, under which the soil damage of a given degree is most likely to emerge, or determine the probability of its occurrence, but also, thanks to a graphical presentation of the nature and strength of relationships between the variables employed in the model construction, they facilitated a recognition of rules and relationships between these variables and the area, depth, volume and probability of occurrence of forest soil damage of a particular type. Moreover, the CART trees served for developing the so-called decision-making rules, which are especially useful in organising logging works. These rules allow the organisers of timber harvest to plan the management-related actions and operations with the use of available technical means and under conditions enabling their execution in such manner as to minimise the harm to forest soils. Furthermore, employing the CART trees for modelling soil disturbance made it possible to evaluate particular independent variables in terms of their impact on the values of dependent variables describing the recorded disturbance to outer soil layers. Thanks to this the author was able to identify, amongst the variables used in modelling the properties of soil damage, these particular ones that had the greatest impact on values of these properties, and determine the strength of this impact. Detailed results depended on the form of soil disturbance and the particular characteristics subject to analysis, however the variables with the strongest influence on the extent and probability of occurrence of soil damage, under the conditions encountered in the investigated stands, enclosed the following: the season of the year when logging works were performed, the volume-based cutting intensity of the felling treatments conducted, technical means used for completion of logging works, the soil moisture content during timber harvest, the manner of timber skidding, dragged, semi-suspended or forwarding, and finally a distance between the soil damage and transportation ducts. The CART models proved to be very useful in designing timber harvesting technologies that could minimise the risk of forest soil damage in terms of both, the extent of factual disturbance and the probability of its occurrence. Another valuable advantage of this kind of modelling is an opportunity to evaluate an impact of particular variables on the extent and probability of occurrence of damage to outer soil layers. This allows the investigator to identify, amongst all of the variables describing timber harvesting processes, those crucial ones, from which any optimisation process should start, in order to minimise the negative impact of forest management practices on soil condition.

Brazil is the first soybean producer in the world, and the largest exporter. In the 2019/20 harvest, the country produced about 124.85 million tons, representing 30% of world production. Global soy production for 2019/20 reached 337.9 million tons. Asian soybean rust (ASR) is the most pathogen on soybean in Brazil in nowadays. Target spot and Septoria leaf spot plus white mold complete these scenarios. ASR emerged in Brazil in 1979. The use of fungicides in the soybean crop in Brazil intensified after the master of 2002 with the resurgence of soybean rust, where the use of triazoles intensified. The massive sprays to pathogen control reached 3.5 sprays per season. In 2006, the first reports of loss of sensitivity of the fungus to the group appeared, notably for the fungicide flutriafol and tebuconazole used in many situations in a curative way or to eradicate the fungus. From that moment on, the productive system sought to use triazoles and strobilurins. In 2011 came the first reports of loss of sensitivity of the fungus in the group of strobilurins. This fact was due to the use of pyraclostrobin in the vegetative phase of soybeans without protection by multisite. That same year, the introduction of the active ingredients in copper oxychloride, mancozeb and chlorothalonil took place in Brazil. In 2015, the first carboxamides ((benzovindiflupyr) (solatenol and fluxpyroxade) associated in triple mode with triazoles and strobilurins were launched on the Brazilian market. Due to the specific mode of action in the metabolism of the fungus (biosynthesis of ergosterol (triazoles), mitochondrial respiration in the cytochrome oxidase enzyme complex - QOIs (strobilurins) and succin dehydrogenase - SDHIs (carboxamides), the need for their association in the sprayings was seen. To multisite (cuprics, dithiocarbamates and nitriles). For the sustainable management of the disease in Brazil, control strategies are recommended, such as the use of systemic fungicides, with a specific biochemical mechanism of action with the adoption of tank mix with multisite, adoption of cultural practices (sanitary emptiness) and sowing schedule and the use of varieties with quantitative resistance (partial or horizontal resistance). These measures will guarantee the sustainability of the culture and the useful life of systemic fungicides or specific sites.

The development of family companies can become a driver of the national economy and form mechanisms that overcome foreign economic barriers and political challenges. The purpose of the presented work was to study the dynamics of career preferences of students from Russia and Bulgaria (the comparison was made in 2021 and 2023). This empirical study was conducted within the framework of the InterGen project. The results of the statistical analysis showed that the most desirable thing for students in the two countries is to build their own business. The second most popular is working in a large company. The least attractive is the prospect of creating or continuing a family business. Comparison by year showed that for the University of Ruse the statistical differences are not significant. For University of Tyumen the career orientation "opening a family business" shows a significant decrease. This empirical result may indicate the ineffectiveness of government programs to popularize family businesses in Russia.

The focus on the introduction of modern technologies and international waste management practices allows us to improve the mechanisms of international business cooperation. Nevertheless, it is impossible to overcome the "garbage" crisis without the improvement of state policy in the field of environmental education and enlightenment, as well as strengthening the role of civil society in decision-making. The article discusses the key issues related to: the willingness of regions and the business community to implement measures to achieve the indicators of the national project "Ecology", the pricing of services for the disposal of MSW, waste recycling and obtaining secondary resources, the use of secondary resources, including the pro-spects of "extended producer responsibility" for formation of a closed-cycle economy in Russia.

We live in times when our planet is overloaded with issues coming from human activities where additional mechanisms to preserve the quality of life are essential. Modern societies experience constant internal dynamics. The uncontrolled urban growth leading to dense and unmanageable environment is a main urban issue cities face today. This is a prevailing problem in the developing countries where the construction industry is booming. Overall, while there is a rush to development there are also some conflicting interests and policies that are leading to unsustainable urban growth. To regulate a property development a local government can try to impose a moratorium on the issuance of building permits and this can be agreed upon all the interest parties or it may be imposed by operation of law (Lehman and Phelps, 2005). Oftentimes local authorities will impose a building moratorium to tackle development in order to have time to make a satisfactory urban plan or to make some changes and update the regulations. The land use control objective is to promote good planning values supported by the whole community. This is done by regulating the urban growth and it is best implemented on a carefully contemplated comprehensive plan. During a time a new plan is being drafted and growth balance is achieved some construction demand may arise based on an existing outdated, inadequate urban plan. If this demands are met “the ultimate worth of the eventual plan could be undermined” and this where the moratorium comes in place (Coon, 2010). The resources of academic literature on the case are somewhat in short supply and mainly based on describing specific case scenarios without a critical thought on the tool itself. Based on the resources the paper will look at a few different cases in developed countries using the growth management systems and one southeast european case - the city of Skopje, Macedonia that adopted the building moratorium system in January 2018. The author of this paper was personally involved in the decision making process in that time and will try to elaborate on how the tool was being used. The validity should be determined by weighing its impact on the affected parties and more comprehensive research in the economic repercussions of the mechanism is needed. A building moratorium is oftentimes a political decision and it's downside is that political parties would use it merely for their own purposes.