No abstract

No abstract

No abstract

Food loss and waste are major issues in the food industry, and they affect all stages of the food supply chain (FSC). Food loss and waste are linked to environmental deterioration, economic loss, and an increase in hunger. Therefore, the food industry requires sustainable consumption and production (SCP) to reduce losses and waste.The circular economy (CE) concept has become a popular strategy for reducing food waste and boosting sustainability. Therefore, with efficient reverse logistics in the FSC, food producers can help achieve sustainable development goals (SDGs) like SCP and zero hunger. In literature, minimal research has been available in identifying the CE adoption challenges in FSC. This research identifies 15 critical challenges from the literature and discussion with the panel of experts. The relationship between the challenges has been established through an interpretive structural modeling (ISM) technique. The challenges were characterized in cause-effect according to their relational intensity obtained using the grey decision-making trial and evaluation laboratory (DEMATEL) technique. Grey's relational theory is applied in DEMATEL to minimize uncertainty and vagueness of the expert judgment. The findings of this study suggest that creating policy from the government, providing incentives, and strictly enforcing environmental regulations are the most critical challenge. Hence, by focusing on the above, the effective adoption of the CE principle is achieved. This result also suggests that by addressing the challenges of CE, corporate social responsibility (CSR) can be performed. This study provides some recommendations for the practitioners to adopt CE towards sustainable development targets.

Worldwide water management in irrigated and rain-fed agriculture is becoming more and more complex to overcome the expected water scarcity stress. In addition to this, challenges of global warming and climate change would have to be met through the judicious application of water in agriculture through climate-smart water technologies. Agriculture is an important sector in India and many developing countries, providing huge employment opportunities to rural populations, and supporting them to achieve food and nutritional security goals. In this paper, an attempt has been made to address challenges of increasing food production and improving rural livelihoods, while safeguarding critical water resources for sustainable use through adaptive measures for effective water management, particularly in drought-prone regions. An integrated approach needs to be implemented in agricultural water management through adoption of innovations such as water harvesting, micro-irrigation and resource conservation farming to increase water-use efficiency in agriculture and other critical services to humans and animals. The aim of this study is to facilitate an improved understanding of the potential implications of climate change and adaptation options for agricultural water management and thereby assist policymakers in taking up adaptation challenges and developing measures to reduce the vulnerability of the farming sector to climate change.

Nutritional stress is making over two billion world population malnourished. Either our commercially cultivated varieties of cereals, pulses, and oilseed crops are deficient in essential nutrients or the soils in which these crops grow are becoming devoid of minerals. Unfortunately, our major food crops are poor sources of micronutrients required for normal human growth. To overcome the problem of nutritional deficiency, greater emphasis should be laid on the identification of genes/quantitative trait loci (QTLs) pertaining to essential nutrients and their successful deployment in elite breeding lines through marker-assisted breeding. The manuscript deals with information on identified QTLs for protein content, vitamins, macronutrients, micro-nutrients, minerals, oil content, and essential amino acids in major food crops. These QTLs can be utilized in the development of nutrient-rich crop varieties. Genome editing technologies that can rapidly modify genomes in a precise way and will directly enrich the nutritional status of elite varieties could hold a bright future to address the challenge of malnutrition.

The recent COVID-19 pandemic has caused enormous disruptions to supply chain (SCs). Border restrictions forced countless businesses to close either permanently or temporarily. However, the food industry is an essential sector that needs to be operational during a pandemic. Although the food industry has proactively worked towards fulfilling human needs, the food supply chain (FSC) faced numerous challenges, forcing SC managers to rethink their business strategy to cater to consumer demands effectively. In a pandemic situation, manufacturing operations need to repurpose and adapt to produce different high-demand products. Resilience initiatives help fight disruption phases in an uncertain environment by building capacity to resist and recover to a better position. This study identifies 14 key enablers to develop a resilient FSC and reveals the most significant enablers in India. We used a hybrid Delphi-interpretive structural modeling (ISM) and Fuzzy decision-making trial and evaluation laboratory (Fuzzy-DEMATEL) methodology to achieve these goals. The Delphi technique identified essential enablers, while the ISM analyzed the interrelationship among enablers and level of importance in a hierarchical structural model. Finally, the Fuzzy-DEMATEL categorized the enablers into the cause-effect group. This study helps SC decision-makers recognize the enablers and the contextual and causal relationships to improve resilience initiatives. It also helps them repurpose their manufacturing operations and shift to other highly required and high-demand production.

No abstract