Pub Date : 2023-09-20DOI: 10.1186/s43170-023-00178-y
Rakefet Cohen Ben-Arye, Christopher Bryant, Katharina Hofmann
Abstract The production and consumption of meat and animal products have been associated with an array of ethical, health, and environmental issues. While social scientists have increasingly focused on meat reduction and the promotion of meat alternatives in recent years, and have identified a number of regional, seasonal, and sociodemographic variations in consumption, empirical work is often based on self-reported data. To build a greater understanding of actual dietary habits, we seek to provide analysis based on real food purchase data by aggregating data from different sources. To this end, we explore the consumption of meat and animal products in the Tesco 1.0 dataset, an Open Access dataset representing 420 million food item purchases made by 1.6 million loyalty card users at 411 Tesco stores across Greater London in 2015. The data is aggregated most granularly at the level of monthly purchase of 11 broad food categories in 4833 lower super output areas (LSOA—the smallest geographic area). We represented the consumption of meat and animal products graphically for each month of the year and for each of 33 London boroughs. In general, we found that the spring and summer months had the highest consumption of meat and animal products, including poultry, and this decreased in autumn. We also combined the Tesco 1.0 dataset with datasets from the London Datastore (a free and open data-sharing portal that provides over a thousand datasets to understand the city and develop solutions to its problems), and identified several demographic factors as predictors for the meat consumption. Contrary to our hypothesis, areas with older, lower education, and more conservative populations had a lower proportion of meat consumed. In line with our hypotheses, a lower proportion of meat consumed could be observed in areas with higher population density, better health, and more Hindus. The purpose of this paper is to add to knowledge on regional, seasonal, and sociodemographic variations in animal product consumption, as well as provide a valuable overview of animal product consumption using a novel data source that comprises actual purchase data rather than self-reported consumption.
{"title":"Every little helps: exploring meat and animal product consumption in the Tesco 1.0 dataset","authors":"Rakefet Cohen Ben-Arye, Christopher Bryant, Katharina Hofmann","doi":"10.1186/s43170-023-00178-y","DOIUrl":"https://doi.org/10.1186/s43170-023-00178-y","url":null,"abstract":"Abstract The production and consumption of meat and animal products have been associated with an array of ethical, health, and environmental issues. While social scientists have increasingly focused on meat reduction and the promotion of meat alternatives in recent years, and have identified a number of regional, seasonal, and sociodemographic variations in consumption, empirical work is often based on self-reported data. To build a greater understanding of actual dietary habits, we seek to provide analysis based on real food purchase data by aggregating data from different sources. To this end, we explore the consumption of meat and animal products in the Tesco 1.0 dataset, an Open Access dataset representing 420 million food item purchases made by 1.6 million loyalty card users at 411 Tesco stores across Greater London in 2015. The data is aggregated most granularly at the level of monthly purchase of 11 broad food categories in 4833 lower super output areas (LSOA—the smallest geographic area). We represented the consumption of meat and animal products graphically for each month of the year and for each of 33 London boroughs. In general, we found that the spring and summer months had the highest consumption of meat and animal products, including poultry, and this decreased in autumn. We also combined the Tesco 1.0 dataset with datasets from the London Datastore (a free and open data-sharing portal that provides over a thousand datasets to understand the city and develop solutions to its problems), and identified several demographic factors as predictors for the meat consumption. Contrary to our hypothesis, areas with older, lower education, and more conservative populations had a lower proportion of meat consumed. In line with our hypotheses, a lower proportion of meat consumed could be observed in areas with higher population density, better health, and more Hindus. The purpose of this paper is to add to knowledge on regional, seasonal, and sociodemographic variations in animal product consumption, as well as provide a valuable overview of animal product consumption using a novel data source that comprises actual purchase data rather than self-reported consumption.","PeriodicalId":72488,"journal":{"name":"CABI agriculture and bioscience","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136307985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-13DOI: 10.1186/s43170-023-00175-1
Stephen Bolus, Kate Wathen-Dunn, Samuel C. Grinstead, Xiaojun Hu, Martha Malapi, Dimitre Mollov
Abstract High throughput sequencing (HTS) can supplement and may replace diagnostic tests for plant pathogens. However, the methodology and processing of HTS data must first be optimized and standardized to ensure the sensitivity and repeatability of the results. Importation of sugarcane into the United States is highly regulated, and sugarcane plants are subjected to strict quarantine measures and diagnostic testing, especially for the presence of certain viruses of regulatory concern. Here, we tested whether HTS could reliably detect four RNA and three DNA sugarcane viruses over three seasons (fall, winter, and spring) and in three tissue types (root, stem, and leaves). Using HTS on ribosomal depleted total RNA samples, we reliably detected RNA viruses in all tissue types and across all seasons, but we failed to confidently detect DNA viruses in some samples. We recommend that future optimization be employed to ensure the robust and reliable detection of all regulated sugarcane viruses by HTS.
{"title":"Effects of tissue type and season on the detection of regulated sugarcane viruses by high throughput sequencing","authors":"Stephen Bolus, Kate Wathen-Dunn, Samuel C. Grinstead, Xiaojun Hu, Martha Malapi, Dimitre Mollov","doi":"10.1186/s43170-023-00175-1","DOIUrl":"https://doi.org/10.1186/s43170-023-00175-1","url":null,"abstract":"Abstract High throughput sequencing (HTS) can supplement and may replace diagnostic tests for plant pathogens. However, the methodology and processing of HTS data must first be optimized and standardized to ensure the sensitivity and repeatability of the results. Importation of sugarcane into the United States is highly regulated, and sugarcane plants are subjected to strict quarantine measures and diagnostic testing, especially for the presence of certain viruses of regulatory concern. Here, we tested whether HTS could reliably detect four RNA and three DNA sugarcane viruses over three seasons (fall, winter, and spring) and in three tissue types (root, stem, and leaves). Using HTS on ribosomal depleted total RNA samples, we reliably detected RNA viruses in all tissue types and across all seasons, but we failed to confidently detect DNA viruses in some samples. We recommend that future optimization be employed to ensure the robust and reliable detection of all regulated sugarcane viruses by HTS.","PeriodicalId":72488,"journal":{"name":"CABI agriculture and bioscience","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135740340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-12DOI: 10.1186/s43170-023-00156-4
Isaiah Gabriel, Frank Olajuwon, Dominik Klauser, Blessing Michael, Mara Renn
Abstract Agriculture is exposed to climate change. This is particularly the case for developing countries like Nigeria, which suffer from persistent food insecurity today while also facing substantial population growth and a high exposure to the adverse consequences of global warming. Climate-smart agriculture (CSA) practices seek to mitigate agriculture’s contribution to climate change while building resilience and adaptation to the impacts of climate change and increasing the production of food crops. CSA is an approach to identify production systems that can best respond to the impacts of climate change and to adjust these systems to suit local conditions. In this study, we use descriptive statistics to characterize socio-economic characteristics of smallholder farmers in four states in Nigeria and identify the major needs, practices and constrains to CSA. Our results reveal that the mean farmer is an adult (40 years) male that has 10 members in their household and 12 years of farming experience, cultivating an area of 3 ha. The majority (87.2%) of farmers has adopted at least one climate resilient trait in crops. Farmers greatest needs on climate smart adaptation, mitigation and profitability were solutions to reduce in-season crop loss (56%), increase water use efficiency (42%) and increase productivity (54%), respectively. Our study intends to provide to a better understanding of the needs and motivations of local farming communities and a better understanding of their motivation to engage in CSA to develop and deploy more tailored initiatives for improving the resilience and productivity of smallholder farming systems.
{"title":"State of climate smart agriculture (CSA) practices in the North Central and Northwest zones Nigeria","authors":"Isaiah Gabriel, Frank Olajuwon, Dominik Klauser, Blessing Michael, Mara Renn","doi":"10.1186/s43170-023-00156-4","DOIUrl":"https://doi.org/10.1186/s43170-023-00156-4","url":null,"abstract":"Abstract Agriculture is exposed to climate change. This is particularly the case for developing countries like Nigeria, which suffer from persistent food insecurity today while also facing substantial population growth and a high exposure to the adverse consequences of global warming. Climate-smart agriculture (CSA) practices seek to mitigate agriculture’s contribution to climate change while building resilience and adaptation to the impacts of climate change and increasing the production of food crops. CSA is an approach to identify production systems that can best respond to the impacts of climate change and to adjust these systems to suit local conditions. In this study, we use descriptive statistics to characterize socio-economic characteristics of smallholder farmers in four states in Nigeria and identify the major needs, practices and constrains to CSA. Our results reveal that the mean farmer is an adult (40 years) male that has 10 members in their household and 12 years of farming experience, cultivating an area of 3 ha. The majority (87.2%) of farmers has adopted at least one climate resilient trait in crops. Farmers greatest needs on climate smart adaptation, mitigation and profitability were solutions to reduce in-season crop loss (56%), increase water use efficiency (42%) and increase productivity (54%), respectively. Our study intends to provide to a better understanding of the needs and motivations of local farming communities and a better understanding of their motivation to engage in CSA to develop and deploy more tailored initiatives for improving the resilience and productivity of smallholder farming systems.","PeriodicalId":72488,"journal":{"name":"CABI agriculture and bioscience","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135878780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-05DOI: 10.1186/s43170-023-00174-2
Leo van Overbeek, Björn Berendsen, S. Aanstoot, Alex Bossers, Els Nijhuis, Lina Russ, Beatriz Andreo Jimenez
{"title":"The effect of sulfadiazine in manure on accumulation of sulfonamide resistance genes in freshly consumable plants","authors":"Leo van Overbeek, Björn Berendsen, S. Aanstoot, Alex Bossers, Els Nijhuis, Lina Russ, Beatriz Andreo Jimenez","doi":"10.1186/s43170-023-00174-2","DOIUrl":"https://doi.org/10.1186/s43170-023-00174-2","url":null,"abstract":"","PeriodicalId":72488,"journal":{"name":"CABI agriculture and bioscience","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46015857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-30DOI: 10.1186/s43170-023-00173-3
Dipankor Chatterjee, Mohammad Umer Sharif Shohan, Nishat Tamanna, Z. I. Seraj
{"title":"Meta-analysis of microarray and RNAseq data reveal OsbZIP52 to mediate salt stress responses in sensitive, tolerant and halophyte rice varieties","authors":"Dipankor Chatterjee, Mohammad Umer Sharif Shohan, Nishat Tamanna, Z. I. Seraj","doi":"10.1186/s43170-023-00173-3","DOIUrl":"https://doi.org/10.1186/s43170-023-00173-3","url":null,"abstract":"","PeriodicalId":72488,"journal":{"name":"CABI agriculture and bioscience","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45690598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-28DOI: 10.1186/s43170-023-00172-4
J. Hellin, E. Fisher, Marcus Taylor, Suhas Bhasme, A. Loboguerrero
{"title":"Transformative adaptation: from climate-smart to climate-resilient agriculture","authors":"J. Hellin, E. Fisher, Marcus Taylor, Suhas Bhasme, A. Loboguerrero","doi":"10.1186/s43170-023-00172-4","DOIUrl":"https://doi.org/10.1186/s43170-023-00172-4","url":null,"abstract":"","PeriodicalId":72488,"journal":{"name":"CABI agriculture and bioscience","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48490670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-28DOI: 10.1186/s43170-023-00162-6
Md. Panna Ali, S. S. Haque, Mosaddek Hossain, Md. Nazmul Bari, M. M. M. Kabir, Tapon Kumar Roy, J. Datta, M. Howlader, S. Alam, T. Krupnik
{"title":"Development and demographic parameters of Fall Armyworm (Spodoptera frugiperda J.E. Smith) when feeding on rice (Oryza sativa)","authors":"Md. Panna Ali, S. S. Haque, Mosaddek Hossain, Md. Nazmul Bari, M. M. M. Kabir, Tapon Kumar Roy, J. Datta, M. Howlader, S. Alam, T. Krupnik","doi":"10.1186/s43170-023-00162-6","DOIUrl":"https://doi.org/10.1186/s43170-023-00162-6","url":null,"abstract":"","PeriodicalId":72488,"journal":{"name":"CABI agriculture and bioscience","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45500898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-28DOI: 10.1186/s43170-023-00169-z
Abeera Umar, H. Bhatti, S. F. Honey
{"title":"A call for aflatoxin control in Asia","authors":"Abeera Umar, H. Bhatti, S. F. Honey","doi":"10.1186/s43170-023-00169-z","DOIUrl":"https://doi.org/10.1186/s43170-023-00169-z","url":null,"abstract":"","PeriodicalId":72488,"journal":{"name":"CABI agriculture and bioscience","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41868800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-28DOI: 10.1186/s43170-023-00170-6
K. A. J. Konan, Coline C. Jaworski, Lucie S. Monticelli, M. Zuma, R. Boll, Marie-France N. Kouadio, T. Martin, B. Gard, Roselyne Souriau, A. Lavoir, N. Desneux
{"title":"Combined use of zoophytophagous mirids for sustainable biological protection of greenhouse tomato crops","authors":"K. A. J. Konan, Coline C. Jaworski, Lucie S. Monticelli, M. Zuma, R. Boll, Marie-France N. Kouadio, T. Martin, B. Gard, Roselyne Souriau, A. Lavoir, N. Desneux","doi":"10.1186/s43170-023-00170-6","DOIUrl":"https://doi.org/10.1186/s43170-023-00170-6","url":null,"abstract":"","PeriodicalId":72488,"journal":{"name":"CABI agriculture and bioscience","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43654247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-14DOI: 10.1186/s43170-023-00171-5
M. Cock, M. Day, R. Winston
{"title":"Citizen science to monitor the establishment and spread of a biological control agent: the case of Pareuchaetes pseudoinsulata (Lepidoptera, Erebidae) for the control of Chromolaena odorata (Asteraceae) in South and South-East Asia","authors":"M. Cock, M. Day, R. Winston","doi":"10.1186/s43170-023-00171-5","DOIUrl":"https://doi.org/10.1186/s43170-023-00171-5","url":null,"abstract":"","PeriodicalId":72488,"journal":{"name":"CABI agriculture and bioscience","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43094472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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