Losses In Agricultural Production Research Articles

Fungal Endophytes: An Alternative Biocontrol Agent against Phytopathogenic Fungi

There has been renewed interest in the application of endophytic fungi to control phytopathogenic fungi, which cause significant damage to crop health, ultimately leading to losses in agricultural productivity. Endophytic fungi inhibit pathogens via different modes of action—mycoparasitism, competition (for nutrients and ecological niches), antibiosis, and induction of plant defense—thus demonstrating the ability to control a wide range of phytopathogenic fungi in different growth phases and habitats. However, many studies have been conducted under laboratory conditions, and there is a huge lack of studies in which real field testing was performed. Aspergillus, Clonostachys, Coniothyrium, Trichoderma, and Verticillium have been proven to be the most effective fungal biocontrol agents. Trichoderma is regarded as the most promising group in commercial formulations. In this study, we attempted to emphasize the significance of fungal endophytes in controlling phytopathogenic fungi, while reporting recent advances in endophytic biology and application.

Phytopathogenic Pseudomonas syringae as a Threat to Agriculture: Perspectives of a Promising Biological Control Using Bacteriophages and Microorganisms

Pseudomonas syringae is a Gram-negative bacterium that infects a wide range of plants, causing significant economic losses in agricultural production. The pathogen exhibits a high degree of genetic and phenotypic diversity, which has led to the classification of P. syringae strains into different pathovars based on their host range and disease symptoms. Copper-based products have traditionally been used to manage infections in agriculture, but the emergence of copper-resistant strains has become a significant concern. Biological control is a promising strategy to manage P. syringae, as it offers an environmentally friendly and sustainable approach to disease management. The review includes an overview of the biology and epidemiology of P. syringae, and of the mechanisms of action of various biological control agents, mainly microorganisms (antagonistic bacteria, and fungi) and bacteriophages. Specifically, this review highlights the renewed interest in bacteriophages (bacteria-infecting viruses) due to their advantages over other eco-friendly management methods, thanks to their bactericidal properties and potential to target specific pathogenic bacteria. The potential benefits and limitations of biological control are also examined, along with research directions to optimize the use of this approach for the management of P. syringae.

Evaluation of twenty genotypes of wheat (Triticum aestivum L.) grown under heat stress during germination stage

Heat stress is one of the most devastating abiotic stresses which causes significant loss of agricultural crop productivity. Thus, it is critical to examine the wheat’s response to the heat stress at seedling stage and adopt an appreciated breeding method to develop heat tolerance and to avoid harmful effects. Therefore, twenty wheat genotypes, including two local landraces, were evaluated in the current study to investigate the genetic diversity for heat tolerance at the seedling stage. Grains of wheat genotypes were placed on filter papers in Petri dishes for germinating at different temperature ranges (i.e., 25 °C as control, 30 °C, 35 °C, and 40 °C). The experiment was laid out in a completely randomized design (CRD) with the factorial arrangement and the number of replications was three. Analysis of variance (ANOVA) for seedling traits and biochemical analysis showed that the genotypes had significant differences for coleoptile length, shoot length (SL), root length (RL), shoot fresh weight (SFW), vigor index (VI), glycine betaine (GB) and proline content. The effect of temperature treatments on different wheat genotypes also exhibited highly significant variation for VI. Principal component analysis (PCA) showed that four factors contributed 82.8% to total variability with the Eigen value greater than 0.7 at 35 °C. Correlation analysis showed that coleoptile length and germination percentage (GP) had a highly significant-positive correlation with SL, VI, and SFW. Results showed that wheat genotypes of ‘Maraj’, ‘Fareed’, ‘Darabi’, ‘Zincol-16’, ‘Barsat’, ‘NARC-2011’, and ‘Mundar’ showed superior performance when grown under different temperatures. ‘NARC-2011’, ‘Inqalab-91’, and ‘Galexy’ wheat genotypes performed well regarding of H2O2 and antioxidant activity. These genotypes had a significant level of variability under heat stress and can be used under high temperatures in future breeding programs for further research purposes.

Shock propagation from the Russia-Ukraine conflict on international multilayer food production network determines global food availability.

Dependencies in the global food production network can lead to shortages in numerous regions, as demonstrated by the impacts of the Russia-Ukraine conflict on global food supplies. Here we reveal the losses of 125 food products after a localized shock to agricultural production in 192 countries and territories using a multilayer network model of trade (direct) and conversion of food products (indirect), thereby quantifying 108 shock transmissions. We find that a complete agricultural production loss in Ukraine has heterogeneous impacts on other countries, causing relative losses of up to 89% in sunflower oil and 85% in maize via direct effects and up to 25% in poultry meat via indirect impacts. Whereas previous studies often treated products in isolation and did not account for product conversion during production, the present model considers the global propagation of local supply shocks along both production and trade relations, allowing for a comparison of different response strategies.

Plant Protection Practises and Their Impact on Environment

The world population is increasing by 81 million every year and people need more agricultural production to avoid hunger. Despite modern farming methods, where advanced technologies and new production systems such as soilless agriculture are applied, production seems far from meeting the nutritional needs of people today or in the future. Although phytopathogens, insects and weeds, which cause significant yield and quality losses in agricultural products, are struggled today, it is estimated that the total loss of crops is 36.5% in the world every year due to these pests. Plant protection practices (cultural measures, physical control, legal measures, biological control, chemical control, alternative control) are carried out against pests in order to prevent product yield and quality losses in agriculture. Among these applications, chemical control is the most effective control method against pests, the results of which can be seen in a short time. However, especially in conventional agriculture, irregular and intensive pesticide applications made to protect yield and quality with economic concerns cause environmental pollution and deterioration in soil, water resources and troposphere ecosystems. In this review, the effects of plant protection practices on non-target organisms in different ecosystems are presented.

Deep-Learning-Based Rice Phenological Stage Recognition

Crop phenology is an important attribute of crops, not only reflecting the growth and development of crops, but also affecting crop yield. By observing the phenological stages, agricultural production losses can be reduced and corresponding systems and plans can be formulated according to their changes, having guiding significance for agricultural production activities. Traditionally, crop phenological stages are determined mainly by manual analysis of remote sensing data collected by UAVs, which is time-consuming, labor-intensive, and may lead to data loss. To cope with this problem, this paper proposes a deep-learning-based method for rice phenological stage recognition. Firstly, we use a weather station equipped with RGB cameras to collect image data of the whole life cycle of rice and build a dataset. Secondly, we use object detection technology to clean the dataset and divide it into six subsets. Finally, we use ResNet-50 as the backbone network to extract spatial feature information from image data and achieve accurate recognition of six rice phenological stages, including seedling, tillering, booting jointing, heading flowering, grain filling, and maturity. Compared with the existing solutions, our method guarantees long-term, continuous, and accurate phenology monitoring. The experimental results show that our method can achieve an accuracy of around 87.33%, providing a new research direction for crop phenological stage recognition.

Assessment of agricultural adaptations to climate change from a water-energy-food nexus perspective

Adapting agriculture to climate change without deteriorating natural resources (e.g., water and energy) is critical to sustainable development. In this paper, we first comprehensively evaluate six agricultural adaptations in response to climate change (2021–2050) through the lens of the water-energy-food (WEF) nexus in Saskatchewan, Canada, using a previously developed nexus model—WEF-Sask. The adaptations involve agronomic measures (early planting date, reducing soil evaporation, irrigation expansion), genetic improvement (cultivars with larger growing degree days (GDD) requirement), and combinations of individual adaptations. The results show that the selected adaptations compensate for crop yield losses (wheat, canola, pea), caused by climate change, to various extents. However, from a nexus perspective, there are mixed effects on water productivity (WP), total agricultural water (green and blue) use, energy consumption for irrigation, and hydropower generation. Individual adaptations such as early planting date and increased GDD requirement compensate for yield losses in both rainfed (0–60 %) and irrigated (18–100 %) conditions with extra use of green water (5–7 %), blue water (2–14 %), and energy for irrigation (2–14 %). Reducing soil water evaporation benefits the overall WEF nexus by compensating for rainfed yield losses (25–82 %) with less use of blue water and energy consumption for irrigation. The combination of the above three adaptations has the potential to sustain agricultural production in water-scarce regions. If irrigation expansion is also included, the combined adaptation almost fully offsets agricultural production losses from climate change but significantly increases blue water use (143–174 %) and energy consumption for irrigation while reducing hydropower production (3 %). This study provides an approach to comprehensively evaluating agricultural adaptation strategies, in response to climate change, and insights to inform decision-makers.

An assessment of the potential environmental effects of bridge construction in Boga, Patuakhali, Bangladesh

Bangladesh Road Transport Authority announced a plan to build a bridge over the Lohalia River in Boga, Patuakhali, which will significantly modify the entire communication system and lead to significant economic empowerment in the southeastern part of Bangladesh. This study was designed to help decision-makers through the identification and evaluation of all potential social and environmental consequences of this proposed project using an integrated methodology combining GIS mapping, environmental impact value assessment, and critical evaluation of the environmental impact through the Leopold matrix. The necessary information required for this study has been collected through questionnaire surveys, participatory community risk assessments (CRA), focused group discussions, key informant interviews, and reviews of previously published documents. According to this study, the proposed Boga Bridge construction will have some adverse environmental consequences including agricultural land and productivity loss, the decline of ecosystem health, extinction of endangered species, deterioration of water, air and soil quality, sedimentation and changes in river flow. Despite these adverse impacts this project will improve the life and livelihood of the coastal community and foster economic growth and industrialization over the long run through easily assessable road transportation. Additionally, the estimated overall environmental impact value (−2) and Leopold matrix's impact value (−1.51) revealed that this project has low adverse effects on the surrounding environment. Moreover, the majority of the environmental consequences were found to be transient because they were only limited to the construction phase which makes it simple to control with the proper implementation of appropriate mitigation strategies. Therefore, this study furnished some effective mitigation strategies incorporating mitigation hierarchy principals to avoid and minimize adverse impacts as well as enhance the positive impacts of this project. Finally, this study recommends constructing the proposed Boga Bridge after ensuring rigorous implementation and monitoring of all impact mitigation strategies proposed in this study.

Assessing farmers’ perception based composite drought vulnerability in Godavari Middle Sub-basin, India

Climate change has increased the frequency and intensity of drought in various parts of the world. Godavari Middle Sub-basin of India has been experiencing significant change in rainfall, maximum and minimum temperature. Farmers of Sub-basin depend on mercy of rainfall for their cultivation. Occurrence of drought lead to farmers suicide due to crop failure and losses of agricultural production. Therefore, composite drought vulnerability assessment is essential in the Sub-basin. This paper makes an initial attempt to quantify composite vulnerability to drought using socio-economic and environmental indicators at household level. Stratified random sampling was utilized to collect primary data. A total number of 450 households were surveyed. The composite vulnerability index calculation was based on 5 domains namely economic, social, environmental, ecological, adaption and mitigation strategies. Results revealed that highest drought vulnerability was found in marginal farmers among all the types of farmers due to high climate change vulnerability and low adaptation strategies. Low level of education, low annual income and high dependency on local money lenders were the main causes of high drought vulnerability for marginal farmers. High adaptation strategies helped large farmer to mitigate the impact of drought. The adaptations and mitigation strategies encompassed change in crops, diversification of crops, keeping land unsown after the possibility of drought, change in traditional irrigation practices to sprinkler and drip irrigation, change in crop calendar and sowing of drought-tolerant crops. Community-based preparedness planning could be effective to mitigate the impact of climate change induced drought vulnerability in Godavari Middle Sub-basin.

Toward the development of a conceptual framework for the complex interaction between environmental changes and rural-urban migration

Environmental changes can result in dramatic increases in human migration as households become unable to adapt to such changes. Addressing environmental migration is a complex puzzle that can become a wicked problem. Despite the growing literature on the nexus between environmental change and migration, the inextricable link between nature and society has made it difficult to establish causal relations between the two. To examine the relationship between environmental change and migration, it is necessary to develop a conceptual model that includes environmental changes as potential causes of rural-urban migration (RUM). Such a model should be built on an enhanced understanding of the different factors that stimulate environmentally induced RUM. This paper proposes such a model, focusing on loss of agricultural land, loss of agricultural productivity and the economic repercussions of these losses. The model is based on the model of Perch-Nielsen et al. but extends this model by incorporating additional factors. In our model, the three leading causes of RUM are climate change, human maladaptive activities, and hydro-climatic disasters (the push factors). In addition, there may be pull factors in the cities. RUM may be counteracted or reduced by governmental policy and individuals' characteristics. The model was applied to Iran. The results show that the model can help to bridge the knowledge gap regarding environmentally induced RUM and may inform policymaking on RUM and related issues, such as environmental management and adaptation to climate change.

Assessment of food losses at the stage of agricultural production in the Russian Federation

The article presents a method of quantitative measurement of food losses in agricultural production in Russia based on verifiable statistical data and the results of its application. The relevance of the study is related to the limited resources for agricultural production and the growing demand for food, considering climate change, leading to an increase in the risks of extreme weather events and epidemics. The estimates of losses presented in Russia are either based on the calculation of food resource balances and have limitations in terms of coverage of the types of losses considered, or are based on subjective assessments of respondents. The proposed method makes it possible to identify focal points of food losses in agricultural production. In addition, the results obtained can be used to assess the potential for reducing greenhouse gas emissions because of limiting food losses in Russian agricultural production.

Uncertainties in the effectiveness of biological control of stem borers under different climate change scenarios in Eastern Africa

Climate change (CC) is expected to significantly affect biodiversity and ecosystem services. Adverse impacts from CC in the Global South are likely to be exacerbated by limited capacities to take adequate adaptation measures and existing developmental challenges. Insect pests today are already causing considerable yield losses in agricultural crop production in East Africa. Studies have shown that insects are strongly responding to CC by proliferation, shift in distribution, and by altering their phenology, which is why an impact on agriculture can be expected. Biological control (BC) has been proposed as an alternative measure to sustainably contain insect pests, but few studies predict its efficacy under future CC. Using the species maximum entropy modeling (Maxent) approach, we predict the current and future distribution of three important lepidopteran stem borer pests of maize in Eastern Africa, i.e., Busseola fusca (Fuller, 1901), Chilo partellus (Swinhoe, 1885), and Sesamia calamistis (Hampson, 1910), and two parasitoids that are currently used for BC, i.e., Cotesia flavipes (Cameron, 1891) and Cotesia sesamiae (Cameron, 1906). Based on these potential distributions and data collected during household surveys with local farmers in Kenya and Tanzania, also future maize yield losses are predicted for a business-as-usual scenario and a sustainable development scenario. We found that BC of the stem borer pests by C. flavipes and C. sesamiae will be less effective under more severe CC resulting in a reduced ability to curb maize yield losses caused by the stem borers. These results highlight the need to adapt BC measures to future CC to maintain its potential for environmentally friendly pest management strategies. The findings of this research are thus of particular relevance to policymakers, extension officers, and farmers in the region and will aid the adaptation of smallholder agricultural practices to the impacts of CC.

Pandemic Produce: Impacts of COVID-19 on Florida’s Fruit and Vegetable Industries

Abstract Florida has one of the most diverse agricultural economies in the United States, producing several dozen types of fruits and vegetables that are consumed within the state, across the country, and around the world. The COVID-19 pandemic and resulting policy responses occurred during the peak of spring harvest season for many crops in Florida, abruptly removing market demand from the food service industry and shifting consumer purchasing habits, which enabled insights into several aspects of the fruit and vegetable supply chain. This article examines how the COVID-19 pandemic impacted fruit and vegetable industries in Florida, how these industries responded to COVID-19 impacts, and how Florida’s experience compared to that of other states. Data are derived from several sources including a statewide survey that measured agricultural production losses in Florida resulting from COVID-19 in early 2020, interviews with Florida operations that provided insights into how the pandemic induced change across the food supply chain, and a survey of food supply chain operations in three regions of the United States conducted in 2021.

Managing the Conflict of Human–Wildlife Coexistence: A Community-Based Approach

One of the most recent and pressing issues for policymakers to address is the presence of wild boars in urban and rural areas. Their aggressive spread and invasion of human-populated areas have created an alarming problem as the coexistence of wild boars and people poses serious threats to human life and property. Human-caused factors, such as residential zone expansion and land use change, have exacerbated this problem. Furthermore, natural factors, such as predator reduction and climate change effects, create favorable conditions for population growth. This study sought to gain insights into citizens’ perspectives on a current issue, specifically wild boar colonization and coexistence in urban and rural settings. Between September 2021 and November 2022, a survey was conducted in two communities of northern and central Greece, addressing 800 citizens in total. Obtained through hierarchical log-linear analysis, factor analysis and two-step cluster analysis, the findings indicate that rural citizens appear to be more concerned about agricultural production losses and the high risk of road accidents, while the invasion-level perception was high in both areas. Intensive hunting has gained widespread acceptance as a management tool for wild boar populations in both urban and rural areas, while anthropocentric (EGO) and ecocentric (ECO) social groups have emerged.

Effect of histidine covalent modification on strigolactone receptor activation and selectivity

The parasitic weed Striga has led to billions of dollars’ worth of agricultural productivity loss worldwide. Striga detects host plants using compounds of the strigolactone class of phytohormones. Early steps in the strigolactone signaling pathway involve substrate binding and hydrolysis followed by a conformational change to an “active” or “closed” state, after which it associates with a MAX2-family downstream signaling partner. The structures of the inactive and active states of strigolactone receptors are known through X-ray crystallography, and the transition pathway from the inactive to active state in apo receptors has previously been characterized using molecular dynamics simulations. However, it also has been suggested that a covalent butenolide modification of the receptor on the catalytic histidine through substrate hydrolysis promotes formation of the active state. Using molecular dynamics simulations, we show that the presence of the covalent butenolide enhances activation in both AtD14, a receptor found in Arabidopsis, and ShHTL7, a receptor found in Striga, but the enhancement is ∼50 times greater in ShHTL7. We also show that several conserved interactions with the covalent butenolide modification promote transition to the active state in both AtD14 (non-parasite) and ShHTL7 (parasite). Finally, we demonstrate that the enhanced activation of ShHTL7 likely results from disruption of ShHTL7-specific histidine interactions that inhibited activation in the apo case. These results provide a possible explanation for difference in strigolactone sensitivity seen between different strigolactone-sensitive proteins and can be used to aid the design of selective modulators to control Striga parasites.

Design, synthesis, antiviral and fungicidal activities of novel polycarpine simplified analogues

Fungal and viral diseases account for 70–80% of agricultural production losses caused by microbial diseases. Synthetic fungicides and antiviral agents have been used to treat plant diseases caused by plant pathogenic fungi and viruses, but their use has been criticized due to their adverse side effects. As alternative strategies, natural fungicides and antiviral agents have attracted many researchers’ interest in recent years. Herein, we designed and synthesized a series of novel polycarpine simplified analogues. Antiviral activity research against tobacco mosaic virus (TMV) revealed that most of the designed compounds have good antiviral activities. The virucidal activities of 4, 6d, 6f, 6h, and 8c are higher than that of polycarpine and similar to that of ningnanmycin. The structure simplified compound 8c was selected for further antiviral mechanism research which showed that compound 8c could inhibit the formation of 20S protein discs by acting on TMV coat protein. These compounds also displayed broad-spectrum fungicidal activities against 7 kinds of plant fungi. This work lays the foundation for the application of polycarpine simplified analogues in crop protection.

Solar dryer technologies for agricultural products in Mozambique: An overview

Mozambique is an agricultural country. However, it faces numerous challenges to feed the population and reduce poverty. Recently, the situation is being worsened by high environmental, social vulnerability and extreme events influenced by climate disruption in the form of cyclones, droughts, and floods. Sustainable use of resources has become an issue in each food supply chain segment. People often suffer from food shortages: some caused by natural disasters, others by excessive post-harvest losses due poor storage facilities. Therefore, reducing post-harvest losses through preservation technologies is an important step toward reaching ending hunger (SDG 2) and ensuring sustainable consumption and production patterns (SDG 12). Thus, practical ways of cheaply and sanitarily preserving foods are needed. The post-harvest losses of agricultural products can be reduced drastically by using renewable energy sources like solar energy. This article presents a review and possibilities of using solar drying, focusing on the technical needs of small farmers in Mozambique. In this study, it was concluded that solar drying is one of the most efficient and cost-effective, renewable, and sustainable technologies to conserve agricultural products. However, solar dryers, being used in Mozambique, are only useful in the presence of solar radiation and useless at night or during cloudy days. To enable off-sun drying, heat storage must be integrated. This way, it can trigger the hopes for alleviation of poverty, opportunity for decent work, economic growth and reduce inequality.

Novel 1-Indanone derivatives containing oxime and oxime ether moieties as immune activator to resist plant virus.

Vegetable viruses are difficult to prevent and control in the field, causing massive economic losses of agricultural production in the world. A new natural product-based antiviral agent would be an effective means to control viral diseases. As a class of natural products, 1-indanones present various pharmacologically actives, while their application in agriculture remains to be found. A series of novel 1-indanone derivatives were designed and synthesized and the antiviral activities were systematically evaluated. Bioassays showed that most compounds exhibited good protective activities against cucumber mosaic virus (CMV), tomato spotted wilt virus (TSWV), and pepper mild mottle virus (PMMoV). Notably, compound 27 exhibited the best protective effects against PMMoV with EC50 values of 140.5mg L-1 , superior to ninanmycin (245.6mg L-1 ). Compound 27 induced immunity responses through multilayered regulation on mitogen-activated protein kinase, plant hormone signal transduction and phenylpropanoid biosynthesis pathways. These 1-indanone derivatives especially compound 27 can be considered as potential immune activators to resist plant virus. © 2023 Society of Chemical Industry.

Exploring the Dynamic Effects of Agricultural Subsidies on Food Loss: Implications for Sustainable Food Security

This paper analyzes the dynamic effects of agricultural subsidies on food loss using the two-stage dynamic panel model. The results reveal that dynamic adjustments exist in agricultural productivity (0.56) and food loss (0.58), with a U-shaped curve between them. That is, food loss declines as productivity grows, but it rises after reaching a certain productivity level. In addition, the results show that agricultural subsidies induce an increase in food loss in the short and long terms. Particularly in the short term, agricultural subsidies increase food loss directly by about 0.09%, and increase it indirectly by about 0.33% through changes in agricultural productivity. The long-term direct and indirect effects are estimated to be about 0.21% and 4.06%, respectively. While the indirect effects are greater than the direct effects, it is found that food loss responds more sensitively to agricultural subsidies in the long term.

Financing Romanian Agricultural Cooperatives’ Investments for the 2023–2027 Horizon

Agriculture represents an important sector of the Romanian economy, with certain vulnerabilities under the current geo-political context and pedoclimatic changes with a direct impact upon food security at national and European levels. This paper analyzes the possibilities for revitalizing the Romanian agricultural sector, which was affected by the excessive inflation (especially via the price increases of fertilizers and fuels) and drought, both generating significant cereal and agricultural production losses. The current research highlights the main investment options for the managers of 219 Romanian agricultural cooperative companies, including the available financing alternatives. In our view, the investments realized within the agricultural cooperative companies support the creation and increase in value added and reduce specific risks, consolidating the role and status of agricultural producers within the food chain. The research evaluates the Romanian agricultural investment typologies and establishes a model of assessing these investments by correlating the information obtained from the questionnaire distributed. The research methods include analyzing the reference literature, building the database, collecting and processing the questionnaires’ observations, transforming the qualitative data into quantitative ones and modeling them with econometric instruments. The results obtained using the econometric model reveal the main investment directions to be integrating the production chains through economic association forms, including constructing and modernizing the warehouses, processing the primary products and obtaining higher value-added products, identifying various distribution channels, making the most of all available resources and focusing on digitalization, efficiency, circular economy and short supply chains. The study is of interest for the investors and managers of agricultural cooperative companies from Romania and Europe in view of securing sustainable development, enhancing the role of agricultural producers within the food chain and increasing efficiency of the agricultural activity, with a direct impact upon European food security.