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Information on field management practices impacting root health in sugarcane is available but fragmented across diverse literature. This makes a synthesis of information on the management of sugarcane fields, with emphasis on root health, difficult. The purpose of this paper is to collate information on field management practices that will benefit the growth of healthy sugarcane roots in support of optimal crop production. This paper reviews background information on the growth dynamics and characteristics of sugarcane roots. This is followed by an in-depth discussion of discipline-related problems and their recommended ameliorative field management practices, with a focus on root health. Information on sugarcane roots is not equally available for all disciplines. In such cases, information was also considered from other crops to provide likely answers to the amelioration of root management problems in sugarcane. Across all these management practices a list of practical procedures to reduce root health problems is compiled. This review also highlights gaps in our knowledge regarding sugarcane root health. [ABSTRACT FROM AUTHOR]

The agricultural production plays an important role in food provision and income generation for the rural population. To mitigate the climate change and ensure food security, the agricultural sector has faced multiple initiatives, including the European Green Deal. Developing effective frameworks for measures under such initiatives requires identifying reasonable benchmarks. Accordingly, it is important to assess the patterns of input use and productivity in the agricultural sector. This paper focuses on the agricultural energy productivity in the European Union (EU) Member States during 2005–2019. Indeed, the EU allocates substantial support to improve resource efficiency and reduce climate pressures in the agriculture. To the best of our knowledge, this is the first paper to apply the club convergence approach for the energy productivity the EU agriculture. This particular approach allows identifying the homogenous groups of the EU countries and, subsequently, assess the dynamics of the agricultural energy productivity within these groups. The results indicate that the agricultural energy productivity still requires attention in the EU countries, as only partial convergence was observed during 2015–2019. The EU countries were grouped into five clusters with different levels of the agricultural energy productivity. The results imply that the differences among resulting clusters remained rather stable over time. Therefore, relevant policies addressing energy efficiency issues can be developed for these relatively homogeneous groups to ensure further cohesion. The results suggest that countries with high energy productivity may show high levels of greenhouse gas intensity (and low levels of, e.g., labour productivity). Therefore, energy conservation and introduction of clean energy is a complex task that can be guided by the proposed framework and adjustment in the Common Agricultural Policy measures. [Display omitted] • An advanced approach of the club convergence is applied for energy productivity. • The case of the European Union agriculture is considered. • The results indicate that the countries have converged yet several clusters persist. • The GHG emission intensity is analysed for each cluster. • The policy implications include mutual learning within and among the clusters. [ABSTRACT FROM AUTHOR]

The harmonious coexistence of man and nature is a universally recognized standard to test the rational utilization of multifunctional territorial space, and the planning of territorial space adapted to nature is a scientific guide to balance ecological protection and human development. This study focuses on the inevitable relationship between the scale, function and pattern of territorial space utilization (TSU), and puts forward a process research framework of "background evaluation-advantage comparison-optimization conduction". Based on the evaluation of resource and environment suitability, this paper determines the scale of multifunctional territorial space through the potential conflict identification model of TSU. The location entropy method is used to identify the advantageous functions of the county level, and the matching characteristics of the research results and the current situation are obtained by comparing them with the current plan. Finally, from the county functional zoning to the regional TSU pattern, the corresponding optimization conduction path is designed to form a new development and protection pattern. The empirical results of research area show that: (1) The study area is suitable for urban construction and agricultural production as a whole. The ecological protection is mainly at the general important level, and there is a moderate potential conflict between the development and protection of territorial space. The space scale of urban construction, agricultural production and ecological protection are accounted for 8.77%, 78.71% and 12.52%, respectively. (2) The advantageous function of TSU in county-level administrative units is dominated by single advantageous function, and the number of composite advantageous functions is generally small. The advantageous functional types determined by this research have a high matching with the current plan. (3) Based on the analysis of the scale structure and functional use of territorial space, this paper defines the ecological space that should be strictly protected and the agricultural and urban space that should be moderately developed for production and construction, and sets up elastic development areas. Finally, a strategic pattern of "one corridor, two screens, three circles and four zones" is conducive to the realization of the beautiful vision of the unification of protection and development. • Ecological protection is a prerequisite for territorial space utilization (TSU). • There is relation among scale, function and pattern of TSU. • Resource and environment carrying capacity decides the scale of TSU. • Multilevel coordination is an important way to balance protection and development. • A functional and strategic pattern is helpful for efficient TSU. [ABSTRACT FROM AUTHOR]

Due to the increasing population worldwide, in recent years, an exponential increase in agricultural practices has occurred in order to attend to the growing demand for food. Unfortunately, this increase is not associated with the supply of foodstuffs free of environmental pollutants. In Brazil, agriculture is one of the most important economic pillars, making the country one of the largest consumers of pesticides around the world. The intense use of pesticides, mainly glyphosate, 2,4-D, and atrazine, constitutes an essential factor in the viability of this great agricultural productivity. Sugarcane, corn, soybean, and citrus crops consume around 66% of the total pesticides worldwide, representing 76% of the planted area. Pesticide residues have been frequently detected in food and the environment, becoming a significant concern for human health. Monitoring programs for pesticide use are essential to reduce the potential negative impacts on the environment and improve the overall efficiency and sustainability of their use. However, in Brazil, the approval status of pesticide-active ingredients is very discrepant compared to other agricultural countries. Moreover, the duality of benefits and risks of pesticide application creates an economic and toxicological conflict. In this paper, we have critically reviewed the duality of risks-benefits of the use of pesticides in agriculture and the current Brazilian legislation issues. We have also compared this flawed legislation with other countries with high economic potential. Due to the negative environmental impacts on soil and water by the high levels of pesticides, remediation techniques, sustainable agriculture, and the development of new technologies can be considered some viable alternatives to reduce the levels in these compartments. Besides, this paper includes some recommendations that can be included in the coming years. [ABSTRACT FROM AUTHOR]

Surface water supplies are becoming increasingly strained, pushing policy makers to find solutions to facilitate reductions in water use though there is limited evidence on how farmers respond to policy induced variation in surface water supplies. This paper uses a difference-in-differences framework to compare the response of farmers to a bundle of policies reducing deliveries from the Colorado River by 35%. I find that on average, farmers reduce the amount of land planted but plant more water intensive crops leading to a minimal reduction in total estimated water use compared to the counterfactual. Additionally, there is strong suggestive evidence that farmers are using groundwater to offset a significant amount of the surface water loss. These findings have important consequences for understanding the relative trade-offs policy makers face when implementing policies that protect surface water sources. [ABSTRACT FROM AUTHOR]

Contaminated farmland leads to serious problems for human health through biomagnification in the soil-crop-human chain. In this paper, we have established a new soil remediation strategy using periphyton for the production of safer rice. Four representative polycyclic aromatic hydrocarbons (PAHs), including phenanthrene (Phe), pyrene (Pyr), benzo[b]fluoranthene (BbF), and benzo[a]pyrene (BaP), were chosen to generate artificially contaminated soil. Pot experiments demonstrated that in comparison with rice cultivation in polluted soil with ΣPAHs (50 mg kg−1) but without periphyton, adding periphyton decreased ΣPAHs contents in both rice roots and shoots by 98.98% and 99.76%, respectively, and soil ΣPAHs removal reached 94.19%. Subsequently, risk assessment of ΣPAHs based on toxic equivalent concentration (TEQ), pollution load index (PLI), hazard index (HI), toxic unit for PAHs mixture (TU m), and incremental lifetime cancer risk (ILCR) indicated that periphyton lowered the ecological and carcinogenicity risks of PAHs. Besides, the role of periphyton in enhancing the rice productivity was revealed. The results indicated that periphyton alleviated the oxidative stress of PAHs on rice by reducing malondialdehyde (MDA) content and increasing total antioxidant capacity (T-AOC). Periphyton reduced the toxic stress of PAHs on the soil by promoting soil carbon cycling and metabolic activities as well. Periphyton also improved the soil's physicochemical properties, such as the percentage of soil aggregate, the contents of humic substances (HSs) and nutrients, which increased rice biomass. These findings confirmed that periphyton could improve rice productivity by enhancing soil quality and health. This study provides a new eco-friendly strategy for soil remediation and simultaneously enables the production of safe crops on contaminated land. [Display omitted] • A novel strategy with periphyton was proposed for PAHs-polluted soil remediation. • In pot experiment the content of PAHs in different parts of rice was reduced. • Periphyton efficiently removed high molecular weight PAHs and reduced health risks. • Periphyton improved rice productivity by enhancing soil quality and health. [ABSTRACT FROM AUTHOR]

Curbing the continuous abandonment of large areas of farmland is important for meeting the global food demand and promoting agricultural and rural development. Accurate identification is the key to the effective management and utilization of abandoned farmland. The identification of abandoned land based on a long time series of remote sensing data has become rapid and effective. Therefore, a set of training and test datasets generated from invariant samples and reference sample sets is established in this paper. On this basis, the Google Earth Engine (GEE) is used to classify Landsat and Sentinel high-precision long-term remote sensing images from 2000 to 2022. In addition, a change detector based on the sliding window algorithm is proposed to extract abandoned farmland in the Huangshui Basin from 2002 to 2020, and the intensity, trend, frequency, reclamation rate and utilization efficiency are analyzed. The results revealed that the OA of land use classification in the Huangshui Basin from 2000 to 2022 was between 0.852 and 0.91, and the kappa coefficient was between 0.822 and 0.89, indicating a good classification effect. From 2002 to 2020, the accumulated abandoned farmland area in the Huangshui Basin continued to increase, showing a fluctuating upward trend, and the phenomenon of farmland abandonment and reclamation occurs repeatedly in some areas. From the overall distribution, the abandoned area gradually increased from the central region to the southeast. With the passage of time, the amount of abandoned farmland in the valley increased gradually, and the abandoned area was transferred from the high mountains to the valley area. The average annual abandonment rate of supplementary farmland was 50.45%, which was much greater than that of basic farmland. Most of the supplementary farmland could not be effectively and judiciously used, and the utilization efficiency was low. The research results provide data support for the reuse of abandoned farmland in ecologically fragile plateau areas, the formulation of targeted strategies, the implementation of timely adjustments, and the establishment of new ideas and methods for the accurate identification of abandoned farmland. • Developed a set of training and test data sets generated by invariant and reference samples. • Proposed a sliding window algorithm based on the change detector to plot long time series abandoned farmland. • Spatiotemporal distribution, trend, and recultivation of abandoned were analyzed. • Abandonment rate of supplementary farmland is higher than original farmland. [ABSTRACT FROM AUTHOR]

There is widespread recognition of the global environmental impact of agricultural production on greenhouse gas emissions, but evidence is sparse regarding the impact in the Middle East and North Africa (MENA) region. In this study, we treat agricultural emissions as an undesirable output from agricultural production and apply the directional distance function to measure environmentally-adjusted technical efficiency, defined as environmental efficiency in agricultural production, in six countries in the MENA region (Algeria, Egypt, Israel, Jordan, Morocco, Tunisia) during the period 1980–2016. The results show that all six countries have clear scope to improve their environmental efficiency. Agricultural production is greener in Jordan and Israel, while environmental efficiency is currently lowest in Egypt and Morocco. Estimated relative shadow price of agricultural emissions is −1.002, implying that the 'cost' of removing agricultural emissions is almost equal to the value of producing one unit of good output. These findings suggest there is a trade-off between agriculture emissions and production, which should be considered in efforts to enhance the sustainability of agricultural production in the MENA region. • The first empirical analysis paper that applies the directional distance function by treating N 2 O and CH 4 as undesirable outputs of agricultural productionin the MENA region. • The highest environmental efficiencies are from Jordan and Israel, and the lowest environmental efficiency are from Egypt and Morocco in the MENA region. • According to the shadow price, the 'cost' of removing agricultural emissions is almost equal to the value of producing one unit of good output. • There is a trade-off relationship between agriculture emissions and desirable output of agricultural production, rather than a synergistic relationship. [ABSTRACT FROM AUTHOR]

In this paper, we argue that current definitions of drought, especially in the context of small-scale agricultural production, are incomplete. We introduce the concept of 'technological drought' to account for crop failures, reduced yields or water scarcity, which are the consequence of an inability to supplement water when there is a lack of irrigation technology and/or existing poor water management. We illustrate the diversity of causes of technological drought, which can include shortages of fuel or electricity to operate pumps, problematically high costs to access irrigation infrastructure, or constrained access to pumps that have to be shared among multiple farmers. We argue that vulnerability to technological drought can be strongly conditioned by socio-economic conditions and that its impact can be magnified when population growth and the demand for food mean that any decline in yield can have serious consequences for food security. We show that technological drought is a complex phenomenon, and can be differentiated from the more widely-recognised classes of drought (meteorological, agricultural, hydrological, and socio-economic) in multiple ways. In particular, technological drought exhibits an important dependence on the socio-economic context of agricultural production. It is perhaps most evident in developing economies, especially where agricultural output depends strongly on the capacity of individual farmers to manage crop water supply on small holdings. Technological drought can follow from even brief interruptions to monsoon rainfall during critical stages of crop growth, such that technological droughts can be distinguished from other forms of drought by their brevity. • Globally, food production is sustained by irrigation. • Technological drought arises from a failure of water technology and/or management. • Failure of irrigation infrastructure can intensify the technological drought. • Its impact and severity depend on the access to credit, irrigation and water sources. [ABSTRACT FROM AUTHOR]

The significance of the paper by Yu et al. (1979) is discussed in the context of the long history of ethylene as a plant growth regulator. By launching the era of molecular analysis and biotechnological exploitation, this research made a vital contribution to crop production and quality. [ABSTRACT FROM AUTHOR]

Agriculture is one of the most important sectors in the Indian context. It is one of the highest employing sectors in the Indian scenario. Unlike other sectors agriculture is highly dependent on the quality and the quantity of both the external factors like rainfall, climate, pH of the soil, fertilizers and insecticides used, and internal factors like the quality of seeds. This paper predicts the production of crops as a function of rainfall for four Indian States. This knowledge can be implemented in generating a rough overview of how the production is based on rainfall and how much can a specific crop production for the amount of rainfall it receives. Two crops each belonging to four different states are chosen and the best regression model for the crop of the state is chosen. There is no research done solely on how rainfall affects crops of particular states. The proposed method of evaluation is better than other existing methods of evaluation as it evaluates all the regression techniques (Linear Regression, Polynomial Regression, Support Vector Regression, Decision Tree Regression, Random Forest, and XGBRegression) for two crops of four individual states. For balanced evaluation, two states of North India and two states of South India are selected. The regression techniques are evaluated based on their Mean Squared Error. • Crops of same species have different production rates within a same country. • Performance of each algorithm is different for crops within state. • Rainfall is the key determining factor for crop production in India. • Production of crop is affected by environment more than the genotype. • Predicting the production provides high impetus for developing economies. [ABSTRACT FROM AUTHOR]

Monoculture and simplified two-crop rotation systems compromise the ecosystem services essential to crop production, diminish agricultural productivity, and cause detrimental effects on the environment. In contrast to the simplified two-crop rotation, diversified crop rotation (DCR) refers to rotation systems that contain three or more crops. Despite multiple benefits generated by DCR, its usage has dwindled over the past several decades. This paper examined determinants of farmers' adoption decisions and perceived benefits of DCR in the west margins of the U.S. Corn Belt where crop diversity has declined. We analyzed 708 farmer responses from a farmer survey conducted in the eastern South Dakota in 2018, accounting for county-level climate variables, as well as cropland data, soil and topographic variables in close proximity of the farm. Our findings indicated that farmers were more likely to utilize DCR as an adaptive strategy to cope with water deficit and reduce soil erosion on marginal land. Additionally, livestock integration and organic farming helped necessitate DCR adoption and magnify its benefits. Producer concerns towards lack of equipment and new crop profitability diluted producers' interests in DCR practice and compromised its benefits. Enhanced technical and policy support, along with infrastructure and market development, could help producers fully utilize DCR benefits and expand DCR usage to more regions. • We examine adoption and perceived benefits of diversified crop rotations (DCR). • Producers use DCR on steeper-sloped lands and in regions with greater water deficit. • Livestock integration and organic farming necessitate DCR and magnify its benefits. • Lack of equipment and profitability diluted producers' interests in DCR practice. • Enhanced technical and policy support are needed to promote DCR in expanded regions. [ABSTRACT FROM AUTHOR]