Sustainability assessment of crops' production in India: empirical evidence from ARDL-ECM approach

PurposeThe study aims to evaluate the long- vs short-run relationships between crops' production (output) and crops' significant inputs such as land use, agricultural water use (AWU) and gross irrigated area in India during the period 1981–2018.Design/methodology/approachThe study applied the autoregressive distributed lag (ARDL) bounds testing approach to estimate the co-integration among the variables. The study uses the error correction model (ECM), which integrates the short-run dynamics with the long-run equilibrium.FindingsThe ARDL bounds test of co-integration confirms the strong evidence of the long-run relationship among the variables. Empirical results show the positive and significant relationship of crops' production with land use and gross irrigated area. The statistically significant error correction term (ECT) validates the speed of adjustment of the empirical models in the long-run.Research limitations/implicationsThe study suggests that the decision-makers must understand potential trade-offs between human needs and environmental impacts to ensure food for the growing population in India.Originality/valueFor a clear insight into the impact of climate change on crops' production, the current study incorporates the climate variables such as annual rainfall, maximum temperature and minimum temperature. Further, the study considered agro-chemicals, i.e. fertilizers and pesticides, concerning their negative impacts on increased agricultural production and the environment.

Projected sugar surplus in 2022/23 is growing

As the world was emerging from the Covid-19 pandemic earlier this year, it was thrown off course by the Russian invasion of Ukraine. Geopolitical instability and conflicts now remain a top concern as the greatest risk to global growth over the next 12 months. Production costs are rising. We are in a totally new world, and companies are going to have to reconfigure how they think about their operations. Against this backdrop, the global sugar industry, invariably sucked in the vortex of the storm will have to manage. Sugar prices are holding up, moderated as much by climate volatility dictating uncertainty and macroeconomic indicators, in particular the value of US$. Global sugar production in 2022/23 (Oct/Sep) is forecast at 191.1 million tonnes raw value (mtrv) while the consumption is expected to rise by 0.9% to 186.8 million tonnes suggesting a global surplus following the deficit of 2.2 mtrv in the previous year. Sugar production in the top-producing countries Brazil, India and Thailand will sway the market as will the top consumers Indonesia and China.

Has the COVID-19 pandemic created a new pattern of sugar cane trading?

The pattern of sugar cane trading that occurred during the COVID-19 pandemic has created a new pattern of sugar cane trading in Indonesia. This study aims to determine the pattern of the trading system undertaken by sugarcane farmers, to reveal the role of social capital in shaping the sugarcane trade system during the pandemic. This research is a qualitative research that uses primary data from interviews with key informants by multistage sampling technique. The data processing includes data reduction, data display using Decision Explorer version 3.3 software. Data were analyzed through descriptive methods and content analysis. The study found that the COVID-19 pandemic formed a new pattern of sugarcane trading system, switching from a contractual trade model to a free market model (redeemer). The model refutes the theory stating that the contractual model will be more efficient than the free market model due to its lower transaction costs. The proposition (substantive theory) produced in this study states that in conditions of sugarcane commodities facing a captive market, the market mechanism is more efficient than the contractual mechanism. Furthermore, this study found that the development of accelerative information technology during the COVID-19 pandemic (social media) has destroyed social capital between sugarcane farmers and partners (sugar factories) due to cheaper information costs borne by sugarcane farmers.

A review of South African sugarcane production in the 2021/22 season: climate, production and economics

This paper characterises South African sugarcane production for the 2021/22 milling season, from an agricultural perspective, to enable the industry to evaluate recent production strategies, and to identify priorities for improved efficiency. The industry's cane and sugar production during the 2021/22 season was 17.2 and 1.84 million tons, respectively. These figures show a marked drop of 5.6% for cane and 8.7% for sugar, when compared to the production figures for the 2020/21 season. The estimated industry average cane yield and quality also decreased slightly, compared to the previous season, but the main reason the drop in cane and sugar production was the limited milling capacity at several mills in KwaZulu-Natal. The civil unrest in July 2021 exacerbated the situation, causing disruptions to harvest and mill operations, as well as the subsequent closure of mills in parts of KwaZulu-Natal. The area harvested decreased considerably from an estimated 254 028 ha in 2020/21 to 241 030 ha in 2021/22 while estimated carry-over cane area increased from 24 029 ha to 32 476 ha over the same period. Rainfall was generally well above the long-term mean and well-distributed in most areas, while irrigation water supply also improved remarkably, compared to 2020 supply. Low temperatures and reduced sunshine duration caused yield reduction in the northern irrigated areas, but most rainfed areas experienced yield improvements when compared to 2020/21, because of the good rainfall. The Midlands region experienced severe frost damage during the winter of 2021, which had a negative impact on cane yield and quality. The Sugar Industry Value Chain Master Plan continued to help stabilise local sugar demand as well as reduce imports and exports at low world market prices, which all contributed to a 6% increase in the Recoverable Value (RV) price. This improved profitability for both largeand small-scale growers. COVID-19 had no noteworthy impact on sugarcane production.

World ethanol producers' rankings in major reshuffle

USA continues to be the largest producer of ethanol globally followed by Brazil. The Covid-l9 pandemic impacted the sector adversely as the rise in unemployment, plus the attendant restrictions on movement resulted 11: people driving much less than before and thereby decreasing demand for transportatian fuel. US companies Poet, Valera and AIM will continue to dominate the league table of top producers. The Brazilian company Raizen 1: expected to move up in rankings (to 4) 11: 2021/22 following the recent acquisition of the sugar-ethanhl producer Biosev.

Co-Pyrolysis of Disposable Mask with Sugarcane Bagasse

Using disposable masks to protect against coronavirus 19 (COVID-19) has become a habit during the pandemic. However, the emergence of contaminated mask waste causes environmental problems because recycling is difficult. This research carried out the co-pyrolysis of disposable masks waste with sugarcane bagasse in a tubular reactor. The temperature and blend ratio of sugarcane bagasse to disposable mask was varied to investigate the product distribution. The maximum liquid product yield was obtained at 54.3% at 400 °C using a blend ratio of sugarcane bagasse to disposable mask 1/2. Based on the Gas Chromatography Mass Spectrophotometry (GS-MS) analysis, the liquid products consists of alkanes, alkenes, acids, alcohols, ketones, and aromatic compounds. © 2022 Trans Tech Publications Ltd, Switzerland.

A high-throughput lipidomics and transcriptomic approach reveals novel compounds from sugarcane linked with promising therapeutic potential against COVID-19.

Sugarcane (Saccharum ssp., Poaceae) provides enormous metabolites such as sugars, lipid, and other dietary metabolites to humans. Among them, lipids are important metabolites that perform various functions and have promising pharmacological value. However, in sugarcane, few studies are focusing on lipidomics and few lipid compounds were reported, and their pharmacological values are not explored yet. The transcriptomic and widely targeted lipidomics approach quantified 134 lipid compounds from the rind of six sugarcane genotypes. These lipid compounds include 57 fatty acids, 30 lysophosphatidylcholines, 23 glycerol esters, 21 lysophosphatidylethanolamines, 2 phosphatidylcholines, and 1 sphingolipid. Among them, 119 compounds were first time reported in sugarcane rind. Seventeen lipids compounds including 12 fatty acids, 2 glycerol lipids, LysoPC 16:0, LysoPE 16:0, and choline alfoscerate were abundantly found in the rind of sugarcane genotypes. From metabolic and transcriptomic results, we have developed a comprehensive lipid metabolic pathway and highlighted key genes that are differentially expressed in sugarcane. Several genes associated with α-linolenic acid and linoleic acid biosynthesis pathways were highly expressed in the rind of the ROC22 genotype. ROC22 has a high level of α-linolenic acid (an essential fatty acid) followed by ROC16. Moreover, we have explored pharmacological values of lipid compounds and found that the 2-linoleoylglycerol and gingerglycolipid C have strong binding interactions with 3CLpro of SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) and these compounds can be utilized against SARS-CoV-2 as therapeutic agents. The transcriptome, metabolome, and bioinformatics analysis suggests that the sugarcane cultivars have a diversity of lipid compounds having promising therapeutic potential, and exploring the lipid metabolism will help to know more compounds that have promising cosmetic and pharmacological value.

Development Procedure for Performance Estimation and Main Dimensions Calculation of a Highly-Boosted Ethanol Engine with Water Injection

The management of the global energy resources has stimulated the emergence of various agreements in favor of the environment. Among the most famous are the Conference of Parties (COP) and Route 2030, which aim to limit global warming to 1.5 °C by reducing the energy consumption and global emission levels. In order to comply with the international standards for energy consumption and pollutant emissions, the Brazilian government has been promoting the expansion of biofuels in the national energy matrix. Considering this scenario, the development of a novel internal combustion engine for the exclusive use of ethanol as a fuel, equipped with state-of-the-art technologies and employing modern design concepts, consists of an innovative and promising pathway for future Brazilian mobility, from both environmental and technological outlooks. In this sense, this work presents a method to determine the main engine dimensions as part of the initial process for a new ethanol prototype engine development. The Brazilian biofuel was selected due to its physicochemical properties, which allow the engine to achieve higher loads, and also due to its large availability as a renewable energy source in the country. Furthermore, a port water injection system was fitted to the engine in order to assist the combustion process by mitigating the knock tendency. The predicted overall engine performance was obtained by carrying out a GT-PowerTM 1D-CFD simulation, whose results pointed to a maximum torque of 279 Nm from 2000 to 4000 rpm and an indicated peak power of 135 kW at 5500 rpm. With a maximum water-to-fuel ratio of 19.2%, the engine was able to perform its entire full load curve at the MBT condition, a fact that makes the WI approach along with the ethanol fuel a very attractive solution. As a result of the specific design and optimization of each geometric parameter for this unique ethanol engine, a maximum indicated fuel conversion efficiency of 45.3% was achieved. Moreover, the engine was capable of achieving over 40% of the indicated fuel conversion efficiency in almost its entire full load curve.

Towards an efficient post Covid-19 ICT based extension service delivery model for the sugar industry of eSwatini

This study presents a designed ICT based extension service delivery system for the sugar industry of Eswatini. The model is an improvement of the current system and it presents a delivery system that is void of many limitations. This model emanates from findings of a survey which involved all smallholder sugarcane farmers (N=172) and their extension officers (N=17). The survey investigated how information and knowledge are currently managed within the sugar industry. Basically, the model revolves around the use of mobile phones to relay information among the sugar industry stakeholders in a timely, more organised, productive and cost-effective ways, without contravention of the COVID-19 pandemic protocols. Sugarcane stakeholders can now be able to exchange information using the model without having to meet physically, which is what most of the traditional approaches required. The exchange of information can be in a form of voiced, pre-recorded information in the form of texts, audio, or audio visuals. This would go a long way in enhancing smallholder farmer's productivity as it has the potential of empowering more rural sugarcane farmers with crucial information for improved productivity. The model has the potential to sustain itself as the participation of the stakeholders is promoted.

A review of South African sugarcane production the 2020/21 season

This paper characterises South African sugarcane production for the 2020/21 milling season from an agricultural perspective, in order to evaluate recent production strategies, and to identify priorities for improved efficiencies. The industry produced 18.22 million tons of cane, harvested from an estimated 254 028 ha (71.73 t/ha). The cane to sugar ratio was 8.89, and sugar production decreased from the 2019/20 season by 7%, to 2.28 million tons. After closing early in 2019/20, the Darnall Mill (along with Umzimkulu) remained closed in 2020/21, resulting in cane oversupply at some mills and considerable carryover tonnages. Cane quality improved in northern irrigated areas. Decreasing cane quality in the Noodsberg and UCL mill supply areas warrants investigation. Rainfall was generally below-average, with dry 2019 and 2020 winters;however, relief was offered by good spring/summer rains. Irrigation water supplies from the Bivane Dam and the Umhlatuze Catchment were significantly improved. The 2020 winter was particularly cold, and the Midlands cane was affected by frost. Eldana incidence decreased overall from the previous season, but flourished in carryover cane in the South Coast and Amatikulu regions. Smut prevalence was slightly higher than in 2019, and efforts to reduce these levels remain a priority in the northern parts of the industry, particularly in Pongola. A 19% increase in the Recoverable Value (RV) price saw a return to profitability for large- and small-scale growers alike. The negative impacts of the COVID-19 pandemic on local sugarcane producers were minimal, and the increase in the RV price is partly attributed to COVID. The Sugar Industry Value Chain Master Plan also contributed to the increase in the RV price, by securing local sales and more effectively discouraging imports.

The 2nd International Conference on Sustainable Plantation (ICSP): Improving Added Value of Plantation Crops through Sustainable Plantation

A. SUMMARY OF CONFERENCE1. Introduction1.1. BackgroundThe Covid-19 pandemic has caused shocks not only in the health aspect but also in all aspects of the global community‟s life. It has significant effect in all sectors of the economy, including the agricultural sector. However, the agricultural sector, including the plantation sub-sector, is a sector that has been able to survive and even shows positive growth. On the other hand, the agricultural commodities from the plantation sector have been significant in job opportunities and export earnings. Major plantation crops such as oil palm, coconut, sago palm, rubber, coffee, cacao, tea, pepper, clove, medicinal plants, and sugarcane may continue their significant contribution to the economy of many tropical countries. These countries will still dominate as the world‟s leading producers of those plantations, at least soon. Plantation and agricultural sectors are labor-intensive. As these sectors are steadily expanding, a reliable workforce requirement has become one of the major issues resulting in huge dependency on capacity development to fulfill the rising need.The 2nd International Conference on Sustainable Plantation (ICSP) was virtually-held in collaboration between the Faculty of Agriculture, IPB University with Indonesian Center for Estate Crops Research and Development (ICECRD), The Indonesian Agency for Agricultural Research and Development (IAARD), with involving the Indonesian Palmae Crops Research Institute (IPCRI), Indonesian Industrial and Beverage Crops Research Institute (IIBCRI), Indonesian Spice and Medicinal Crops Research Institute (ISMCRI), and Indonesian Sweetener and Fiber Crops ResearchList of Table, Images, Paper Publication, Funding Acknowledgements, Special Acknowledgements, List Of Committee, Organizing Committee are available in this pdf.

Mapping Sugarcane in Central India with Smartphone Crowdsourcing

In India, the second-largest sugarcane producing country in the world, accurate mapping of sugarcane land is a key to designing targeted agricultural policies. Such a map is not available, however, as it is challenging to reliably identify sugarcane areas using remote sensing due to sugarcane’s phenological characteristics, coupled with a range of cultivation periods for different varieties. To produce a modern sugarcane map for the Bhima Basin in central India, we utilized crowdsourced data and applied supervised machine learning (neural network) and unsupervised classification methods individually and in combination. We highlight four points. First, smartphone crowdsourced data can be used as an alternative ground truth for sugarcane mapping but requires careful correction of potential errors. Second, although the supervised machine learning method performs best for sugarcane mapping, the combined use of both classification methods improves sugarcane mapping precision at the cost of worsening sugarcane recall and missing some actual sugarcane area. Third, machine learning image classification using high-resolution satellite imagery showed significant potential for sugarcane mapping. Fourth, our best estimate of the sugarcane area in the Bhima Basin is twice that shown in government statistics. This study provides useful insights into sugarcane mapping that can improve the approaches taken in other regions.

Two Birds with One Stone: Bioplastics and Food Waste Anaerobic Co-Digestion

Following the BBC’s Blue Planet II nature documentary series on marine ecosystems, plastic packaging has come under public fire, with consumers demanding greener alternatives. The biodegradable properties of some bioplastics have offered a potential solution to the global challenge of plastic pollution, while enabling the capture of food waste through anaerobic digestion as a circular and energy-positive waste treatment strategy. However, despite their increasing popularity, currently bioplastics are being tested in environments that do not reflect real-life waste management scenarios. Bioplastics find their most useful, meaningful and environmentally-sound application in food packaging—why is there so little interest in addressing their anaerobic co-digestion with food waste? Here, we provide a set of recommendations to ensure future studies on bioplastic end-of-life are fit for purpose. This perspective makes the link between the environmental sustainability of bioplastics and the role of food waste anaerobic digestion as we move towards an integrated food–energy–water–waste nexus. It shines light on a novel outlook in the field of bioplastic waste management while uncovering the complexity of a successful path forward. Ultimately, this research strives to ensure that the promotion of bioplastics within a circular economy framework is supported across waste collection and treatment stages.

Productive public investment in agriculture for economic recovery with rural well-being: an analysis of prospective scenarios for Mexico

Mexico's gross domestic product (GDP) contracted unprecedentedly as a result of the COVID-19 crisis. While the primary sector has relatively been the most resilient, the agriculture sector lacks sufficiently strong productive dynamism and has high rates of informal work and low wages. Investing more in the sector's productive infrastructure would help accelerate economic recovery while improving people's well-being. A public investment policy should be developed on the basis of evidence, such as that provided in this study. In 21 prospective scenarios that simulate the allocation of additional public investment in productive infrastructure across subsectors of agriculture, equivalent to 0.25 percent of GDP (around MXN 50 billion) between 2021 and 2023, there is an improvement in total and agrifood GDP, and in the well-being of the Mexican people, as measured by private consumption and rural poverty reduction. However, it is recommended that new investment be focused on certain subsectors and that it be financed through foreign borrowing. According to a ranking of subsectors that receive new investment, the sugar cane subsector ranks first in three of the four variables considered (private consumption, total GDP, agrifood GDP and rural poverty). Cereals, mainly maize, but also others (rice, sorghum, oats, barley and other cereals), and the more export-oriented crops, such as flowers and coffee, also appear at the top of the ranking.

An Agent-Based Model-Driven Decision Support System for Assessment of Agricultural Vulnerability of Sugarcane Facing Climatic Change

In recent years, there have been significant changes in weather patterns, mainly caused by sharp increases in temperature, increases in carbon dioxide, and fluctuations in precipitation levels, negatively impacting agricultural production. Agricultural systems are characterized by being vulnerable to the variation of biophysical and socioeconomic factors involved in the development of agricultural activities. Agent-based models (ABMs) enable the study, analysis, and management of ecosystems through their ability to represent networks and their spatial nature. In this research, an ABM is developed to evaluate the behavior and determine the vulnerability in the sugarcane agricultural system;allowing the capitalization of knowledge through characteristics such as social ability and autonomy of the modeled agents through fuzzy logic and system dynamics. The methodology used includes information networks for a dynamic assessment of agricultural risk modeled by time series, system dynamics, uncertain parameters, and experience;which are developed in three stages: vulnerability indicators, crop vulnerability, and total system vulnerability. The development of ABM, a greater impact on the environmental contingency is noted due to the increase in greenhouse gas emissions and the exponential increase in extreme meteorological phenomena threatening the cultivation of sugarcane, making the agricultural sector more vulnerable and reducing the yield of the harvest.

Fiji Sugarcane Industry Amidst COVID-19 Pandemic.

Fijian sugar industry is a major performer in Fiji's national economy, although it has been challenged by a range of problems alongside its journey. The latest vulnerability of the amplifying pandemic of the novel COVID-19 (coronavirus) has influenced the sugar industry and its interrelated ventures, in Fiji, and, all through the world. The entire supply chain of the sugar industry has been affected by spillover effects. The Fiji sugarcane industry amidst COVID-19 pandemic and concrete steps taken in response by the government and industry during these difficult times are deliberated in this paper.

Plant-derived silica nanoparticles and composites for biosensors, bioimaging, drug delivery and supercapacitors: a review.

Silica nanoparticles have rapidly found applications in medicine, supercapacitors, batteries, optical fibers and concrete materials, because silica nanoparticles have tunable physical, chemical, optical and mechanical properties. In most applications, high-purity silica comes from synthetic organic precursors, yet this approach could be costly, polluting and non-biocompatible. Alternatively, natural silica sources from biomass are often cheap and abundant, yet they contain impurities. Silica can be extracted from corn cob, coffee husk, rice husk, sugarcane bagasse and wheat husk wastes, which are often disposed of in rivers, lands and ponds. These wastes can be used to prepare homogenous silica nanoparticles. Here we review properties, preparation and applications of silica nanoparticles. Preparation includes chemical and biomass methods. Applications include biosensors, bioimaging, drug delivery and supercapacitors. In particular, to fight the COVID-19 pandemic, recent research has shown that silver nanocluster/silica deposited on a mask reduces SARS-Cov-2 infectivity to zero.

Energy, exergy and exergoenvironmental analyses of a sugarcane bagasse power cogeneration system.

One of the strategies to reduce the environmental impacts associated with electricity is to employ renewable resources such as biomass or even waste. However, the evaluation of the sustainability of a power plant depends on the development of several analyses, which should encompass thermodynamic and environmental parameters. Energy, exergy, and exergoenvironmental assessments are carried out for a sugarcane bagasse cogeneration system, along with a Life Cycle Assessment for the Brazilian sugarcane bagasse, employing the Eco-indicator 99 method. The specific environmental impacts of electricity and steam are 6.023 mPt/MJ and 4.038 mPt/MJ, respectively, and the boiler feed pump and radiator presented the highest average environmental impact per exergy of fuel and product, respectively. The component with the highest exergoenvironmental factor was the furnace (60.32%), demonstrating margins for benefits in the formation of pollutants and destruction of exergy. Exergoenvironmental assessments can be utilized to support the adoption of more efficient (although more complex) cogeneration systems, especially in the aftermath of the COVID-19 crisis.