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Development of a RBFNN prediction model for carrot quality based on meteorological temperatures at vegetable stations

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Food and Health 2024年第2期6卷 49-57页

作者： Yu-Tong Yan Zeng-Tao Ji Ce Shi Research Center of Information Technology Beijing Academy of Agriculture and Forestry SciencesBeijing 100097China National Engineering Research Center for Information Technology in Agriculture Beijing Academy of Agricultural and Forestry SciencesBeijing 100097China National Engineering Laboratory for Agri-product Quality Traceability Beijing Academy of Agricultural and Forestry SciencesBeijing 100097China Key Laboratory of Cold Chain Logistics Technology for Agro-product Ministry of Agriculture and Rural AffairsBeijing 100097China

To evaluate and predict the quality of carrots during logistics process in North China under extreme temperature conditions,quality indicator changes of carrots were investigated,and temperature-coupled quality prediction models were developed.Seven temperatures were selected from meteorological temperature data by cluster analysis to simulate the changes in extreme temperatures during the short-term transportation of carrots.No carrots rotted during the 48h storage period.Under both isothermal and nonisothermal conditions,weight loss andΔE increased while the firmness and sensory evaluation(SE)decreased.The RBFNN performed better than the Arrhenius model in predicting weight loss andΔE,with R^(2)>0.97,MSE<0.009 and relative errors within±18%.The results of the predictive confidence level and standardized residual indicated the good performance of the RBFNN model.The temperature-coupled prediction models of RBFNN were promising candidates for predicting the quality of vegetable products and therefore reducing economic loss of vegetable industry.

关键词： Carrot extreme temperatures Temperature coupled Arrhenius Radial basis function neural network

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Impacts of Anthropogenic Forcings and El Nio on Chinese extreme temperatures

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Advances in Atmospheric Sciences 2018年第8期35卷 98-106页

作者： N. FREYCHET S. SPARROW S. F. B. TETT M. J. MINETER G. C. HEGERL D. C. H. WALLOM School of Geosciences University of Edinburgh Crew Building The King's Buildings Edinburgh EH9 3FF UK Oxford e-Research Centre University of Oxford Oxford OX1 2JD United Kingdom

This study investigates the potential influences of anthropogenic forcings and natural variability on the risk of summer extreme temperatures over China. We use three multi-thousand-member ensemble simulations with different forcings （with or without anthropogenic greenhouse gases and aerosol emissions） to evaluate the human impact, and with sea surface temperature patterns from three different years around the E1 Nino-Southern Oscillation （ENSO） 2015/16 event （years 2014, 2015 and 2016） to evaluate the impact of natural variability. A generalized extreme value （GEV） distribution is used to fit the ensemble results. Based on these model results, we find that, during the peak of ENSO （2015）, daytime extreme tem- peratures axe smaller over the central China region compared to a normal year （2014）. During 2016, the risk of nighttime extreme temperatures is largely increased over the eastern coastal region. Both anomalies are of the same magnitude as the anthropogenic influence. Thus, ENSO can amplify or counterbalance （at a regional and annual scale） anthropogenic effects on extreme summer temperatures over China. Changes are mainly due to changes in the GEV location parameter. Thus, anomalies are due to a shift in the distributions and not to a change in temperature variability.

关键词： extreme temperatures ENSO anthropogenic impact climate risk

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Evidences on adaptive mechanisms for cardiorespiratory diseases regarding extreme temperatures and air pollution:A comparative systematic review

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Geography and Sustainability 2021年第3期2卷 182-194页

作者： Helena Madureira Maria Pacheco Carlos Sousa Ana Monteiro Francesca De’-Donato Manuela De-Sario Department of Geography University of PortoCEGOTPorto 4150-564Portugal Faculty of Arts and Humanities University of PortoPorto 4150-564Portugal Department of Geography University of PortoCEGOTCITTAPorto 4150-564Portugal Department of Epidemiology Lazio Regional Health ServiceRome 00147Italy

The negative cardiorespiratory health outcomes due to extreme temperatures and air pollution are widely stud-ied,but knowledge about the effectiveness of the implementation of adaptive mechanisms remains unclear.The objective of this paper is to explore the evidence of adaptive mechanisms for cardiorespiratory diseases regard-ing extreme temperatures and air pollution by comparing the results of two systematic literature review(SLR)processes sharing the same initial research question but led by two research groups with different academic back-grounds working in the same multidisciplinary team.We start by presenting the methodological procedures and the results of the SLR triggered by the research group mainly composed by researchers with a background in ge-ography(named geographical strategy).We then compare these results with those achieved in the SLR led by the research group with a background in epidemiology(named epidemiological strategy).Both SLR were developed under the EU Horizon 2020 Project“EXHAUSTION”.The results showed:1)the lack of evidence regarding the effectiveness of adaptation measures,namely due to the limited number of studies about the topic,the prepon-derance of studies dedicated to heat extremes or the unbalance between different adaptation measures;2)that the choice of search terms in the geographical strategy,despite being more comprehensive at first sight,ended up retrieving less results,but it brought new studies that can complement the results of the epidemiological strategy.Therefore,it is suggested that to strengthen the empirical evidence of the effectiveness of adaptation measures,powerful multidisciplinary teams should work together in the preparation of SLR in topics of great complexity,such as the one presented in this paper.

关键词： Cardiopulmonary diseases extreme temperatures Air pollution Adaptation Planning Systematic literature review(SLR)

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Genetic and molecular exploration of maize environmental stress resilience:Toward sustainable agriculture

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Molecular Plant 2023年第10期16卷 1496-1517页

作者： Zhirui Yang Yibo Cao Yiting Shi Feng Qin Caifu Jiang Shuhua Yang State Key Laboratory of Plant Environmental Resilience Frontiers Science Center for Molecular Design BreedingCollege of Biological SciencesChina Agricultural UniversityBeijing 100193China

Global climate change exacerbates the effects of environmental stressors,such as drought,flooding,extreme temperatures,salinity,and alkalinity,on crop growth and grain yield,threatening the sustainability of the food supply.Maize(Zea mays)is one of the most widely cultivated crops and the most abundant grain crop in production worldwide.However,the stability of maize yield is highly dependent on environmental conditions.Recently,great progress has been made in understanding the molecular mechanisms underlying maize responses to environmental stresses and in developing stress-resilient varieties due to advances in high-throughput sequencing technologies,multi-omics analysis platforms,and automated phenotyping facilities.In this review,we summarize recent advances in dissecting the genetic factors and networks that contribute to maize abiotic stress tolerance through diverse strategies.We also discuss future challenges and opportunities for the development of climate-resilient maize varieties.

关键词： maize abiotic stress drought extreme temperatures salinity resistance

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