Adaptation and mitigation options to manage aflatoxin contamination in food with a climate change perspective

2016 ◽  
Vol 9 (5) ◽  
pp. 875-888 ◽  
Author(s):  
J.M. Wambui ◽  
E.G. Karuri ◽  
J.A. Ojiambo ◽  
P.M.K. Njage
Keyword(s):  
Climate Change ◽  
Food Safety ◽  
Management Practices ◽  
Aflatoxin Contamination ◽  
Special Focus ◽  
Mitigation Options ◽  
Impact Of Climate Change ◽  
Daunting Task ◽  
The Impact ◽  
Adaptation And Mitigation

Understanding the impact of climate change remains vital for food safety and public health. Of particular importance is the influence of climatic conditions on the growth of Aspergillus flavus and production of their toxins. Nevertheless, little is known about the actual impact of climate change on the issue. Setting up of relevant measures to manage the impact has therefore become a daunting task especially in developing nations. Therefore, this study aimed at providing adaptation and mitigation options to manage this risk with a special focus on Kenya where cases of aflatoxicosis have been recurrent. We used a systematic literature review of review and research articles, with limited searching but systematic screening to explore available qualitative and quantitative data. Projections from the data, showed that on average, a 58.9% increase of aflatoxin contamination in the Central and Western parts and a decrease of 44.6% in the Eastern and Southern parts is expected but with several possible scenarios. This makes the impact of climate change on aflatoxin contamination in Kenya complex. To protect the public and environment from the negative impact, a regulatory framework that allows for an integrated management of aflatoxins in a changing climate was proposed. The management practices in the framework are divided into agronomic, post-harvest and institutional levels. Given the multiple points of application, coordination amongst stakeholders along the chain is fundamental. We therefore proposed a complimentary framework that allows the food safety issues to be addressed in an integrated manner while allowing for transparent synergies and trade-offs (in implementing the measures). A policy-oriented foresight should be carried out to provide policy based evidence for the applicability of the proposed adaptation and mitigation measures.

scholarly journals Public Health and Epidemiology Informatics: Can Artificial Intelligence Help Future Global Challenges? An Overview of Antimicrobial Resistance and Impact of Climate Change in Disease Epidemiology

2019 ◽  
Vol 28 (01) ◽  
pp. 224-231 ◽  
Author(s):  
Alejandro Rodríguez-González ◽  
Massimiliano Zanin ◽  
Ernestina Menasalvas-Ruiz
Keyword(s):  
Public Health ◽  
Climate Change ◽  
Artificial Intelligence ◽  
Antimicrobial Resistance ◽  
World Health ◽  
Special Focus ◽  
Disease Epidemiology ◽  
Impact Of Climate Change ◽  
Public Health Epidemiology ◽  
The Impact

Objectives: To provide an oveiview of the current application of artificial intelligence (AI) in the field of public health and epidemiology, with a special focus on antimicrobial resistance and the impact of climate change in disease epidemiology. Both topics are of vital importance and were included in the “Ten threats to global health in 2019“ report published by the World Health Organization. Methods: We analysed publications that appeared in the last two years, between January 2017 and October 2018. Papers were searched using Google Scholar with the following keywords: public health, epidemiology, machine learning, data analytics, artificial intelligence, disease surveillance, climate change, antimicrobial resistance, and combinations thereof. Selected articles were organised by theme. Results: In spite of a large interest in AI generated both within and outside the scientific community, and of the many opinions pointing towards the importance of a better use of data in public health, few papers have been published on the selected topics in the last two years. We identify several potential reasons, including the complexity of the integration of heterogeneous data, and the lack of sound and unbiased validation procedures. Conclusions: As there is a better comprehension of AI and more funding available, artificial intelligence will become not only the centre of attention in informatics, but more importantly the source of innovative solutions for public health.

scholarly journals Potential impact of future climate change on maize (Zea mays L.) under rainfed condition in central India

2021 ◽  
Vol 22 (1) ◽  
pp. 18-23
Author(s):  
ROHIT PATIDAR ◽  
M. MOHANTY ◽  
NISHANT K. SINHA ◽  
S.C. GUPTA ◽  
J. SOMASUNDARAM ◽  
...  
Keyword(s):  
Climate Change ◽  
Management Practices ◽  
Biomass Yield ◽  
Maize Yield ◽  
Madhya Pradesh ◽  
Future Climate Change ◽  
Soil Profiles ◽  
Impact Of Climate Change ◽  
Maize Grain ◽  
The Impact

A simulation experiment was carried out using Agriculture Production Systems Simulator (APSIM) model to assess the impact of climate change (change in temperature and rainfall patterns) on productivity of maize in the state Madhya Pradesh. Thirty districts with 74 soil profiles from Madhya Pradesh state were considered for the study. However, we are presenting the average results over districts and soil profiles. A well-parameterised and validated APSIM model was used to simulate the effects of temperature and rainfall on maize grain and biomass yield. Increase in temperature having negative effects on both grain and biomass yield of maize. While increasing the temperature from base to 5 °C, the grain and biomass yield of maize decreased by 40% and 28%, respectively. Further, increasing the temperature by 1 °C could reduce the grain and biomass yield by 10% and 8 %, respectively. A small increase in maize yield was observed by 10% decrease of rainfall from the base. While rainfall increase by 10% or more and decrease by >20% would results in lower maize yield and biomass. The decrease in maize yield due to increase in temperature could be attributed to decrease in duration of the crop. One-degree increase in temperature may decrease the duration of crop by 4.3 days. This study also revealed that agronomic management practices such as delaying of sowing dates could reduce the impact of climate change on crop yield to a considerable extent. By adopting the sowing date between 7th and 14th July, it may be possible to reduce the impact of temperature change on maize grain and biomass yield in central Indian condition.

HOW CLIMATE CHANGE CAN INFLUENCE THE AGRICULTURE IN UKRAINE: A REVIEW

2020 ◽  
Author(s):  
N. Maidanovych ◽  
Keyword(s):  
Climate Change ◽  
Crop Yields ◽  
Soil Surface ◽  
Winter Period ◽  
Negative Consequences ◽  
Resource Saving ◽  
Impact Of Climate Change ◽  
Positive Effects ◽  
Average Annual Temperature ◽  
The Impact

The purpose of this work is to review and analyze the main results of modern research on the impact of climate change on the agro-sphere of Ukraine. Results. Analysis of research has shown that the effects of climate change on the agro-sphere are already being felt today and will continue in the future. The observed climate changes in recent decades have already significantly affected the shift in the northern direction of all agro-climatic zones of Europe, including Ukraine. From the point of view of productivity of the agro-sphere of Ukraine, climate change will have both positive and negative consequences. The positives include: improving the conditions of formation and reducing the harvesting time of crop yields; the possibility of effective introduction of late varieties (hybrids), which require more thermal resources; improving the conditions for overwintering crops; increase the efficiency of fertilizer application. Model estimates of the impact of climate change on wheat yields in Ukraine mainly indicate the positive effects of global warming on yields in the medium term, but with an increase in the average annual temperature by 2 ° C above normal, grain yields are expected to decrease. The negative consequences of the impact of climate change on the agrosphere include: increased drought during the growing season; acceleration of humus decomposition in soils; deterioration of soil moisture in the southern regions; deterioration of grain quality and failure to ensure full vernalization of grain; increase in the number of pests, the spread of pathogens of plants and weeds due to favorable conditions for their overwintering; increase in wind and water erosion of the soil caused by an increase in droughts and extreme rainfall; increasing risks of freezing of winter crops due to lack of stable snow cover. Conclusions. Resource-saving agricultural technologies are of particular importance in the context of climate change. They include technologies such as no-till, strip-till, ridge-till, which make it possible to partially store and accumulate mulch on the soil surface, reduce the speed of the surface layer of air and contribute to better preservation of moisture accumulated during the autumn-winter period. And in determining the most effective ways and mechanisms to reduce weather risks for Ukrainian farmers, it is necessary to take into account the world practice of climate-smart technologies.

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