Relationship between nematode assemblages and physical properties across land use types

Cardoso, Mercia S. O.; Pedrosa, Elvira M. R.; Rolim, Mário M.; Oliveira, Lamartine Soares Cardoso de; Santos, Alexandre Nascimento dos

doi:10.1007/s40858-016-0075-7

Cited by 15 publications

(11 citation statements)

References 32 publications

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“…e experiment included data on 3455 women who notified pregnancy between 1999 and 2012. e development of a diet-based diabetes risk score in the study aims to quantify the association between adherence to the prior diet score and the incidence of type 2 diabetes,; among the 9 food categories for which diet scores (reported to be negatively correlated with the incidence of type 2 diabetes), 3 food categories are reported to be directly related to type 2 diabetes. Donazar-Ezcurra M assessed three types of compliance with diet-based diabetes risk scores: low (11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24), intermediate (25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35)(36)(37)(38)(39), and high (40-60). Compared with the lowest category, the higher category showed an independent inverse correlation with the risk of developing gestational diabetes (multivariate-adjusted OR 0•48; 95% CI 0•24, 0•99; linear trend P: 0•01).…”

Section: Introductionmentioning

confidence: 99%

Diabetes Risk Data Mining Method Based on Electronic Medical Record Analysis

Liu

Yang

2021

Journal of Healthcare Engineering

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In today’s society, the development of information technology is very rapid, and the transmission and sharing of information has become a development trend. The results of data analysis and research are gradually applied to various fields of social development, structured analysis, and research. Data mining of electronic medical records in the medical field is gradually valued by researchers and has become a major work in the medical field. In the course of clinical treatment, electronic medical records are edited, including all personal health and treatment information. This paper mainly introduces the research of diabetes risk data mining method based on electronic medical record analysis and intends to provide some ideas and directions for the research of diabetes risk data mining method. This paper proposes a research strategy of diabetes risk data mining method based on electronic medical record analysis, including data mining and classification rule mining based on electronic medical record analysis, which are used in the research experiment of diabetes risk data mining method based on electronic medical record analysis. The experimental results in this paper show that the average prediction accuracy of the decision tree is 91.21%, and the results of the training set and the test set are similar, indicating that there is no overfitting of the training set.

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Section: Introductionmentioning

confidence: 99%

Diabetes Risk Data Mining Method Based on Electronic Medical Record Analysis

Liu

Yang

2021

Journal of Healthcare Engineering

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“…Genera Criconemella, Helicotylenchus, Trichodorus, and Paratrichodorus are common in the region (Chaves et al 2003;Moura 2005;Rodrigues et al 2011;Cardoso et al 2015), though in low numbers (Spaull and Cadet 2005). The plant-parasitic nematodes are prevalent in sugarcane growing fields around the world (Berry et al 2007;Stirling et al 2010;Berry et al 2011;Steven et al 2014;Cardoso et al 2016;Zhang et al 2017) as well as in northeastern Brazil (Chaves et al 2002(Chaves et al , 2003Barros et al 2005;Vicente et al 2016). Economic damage levels are related to nematode species, sugarcane variety, and environmental conditions, especially soil humidity (Dinardo-Miranda 2005;Barros et al 2005).…”

Section: Discussionmentioning

confidence: 99%

“…juveniles per 50 g of roots of susceptible sugarcane varieties (Dinardo-Miranda et al 1996;Novaretti 1997). However, sand soils under environmental stress from water deficits are more affected by plant-parasitic nematodes (Li et al 2014;Lu et al 2016;Vicente et al 2016), disrupting the soil's natural balance and food web (Sohlenius et al 2011;Cardoso et al 2016).…”

Section: Discussionmentioning

confidence: 99%

“…Population dynamics of soil nematode assemblages, particularly plant-parasitic ones, are highly influenced by physical and chemical soil attributes, such as temperature, water content, and soil texture, and structure (Huang and Pereira 1994;Cardoso et al 2015Cardoso et al , 2016. Some studies revealed that plantparasitic nematodes prefer sandy soils, as a function of the greater proportion of macropores, allowing nematode movement toward host plants, causing significant damages to different crops (Kanga et al 2012).…”

Section: Discussionmentioning

confidence: 99%

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Nematode abundance and diversity in sugarcane fields in Brazil

Maranhão

Pedrosa

Guimarães

et al. 2018

Trop. plant pathol.

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Edaphic climatic conditions directly affect the population dynamics of nematode assemblages and management strategies. The objective of this study was to characterize spatiotemporal changes in nematode abundance and diversity in sugarcane fields of northeastern Brazil under different edaphic climatic conditions. Soil samples from seven geoenvironmental sites under continuous cultivation were taken at planting and 4, 9, and 14 months after planting. Nematode abundance and diversity varied with the soil's physical and chemical characteristics. Sites in the rainfed and irrigated coastal tables as well the floodplain had higher number of nematodes in contrast to the flat-land and hillside. The abundance of plant-parasitic nematodes increased concurrently with crop development, but the number of taxa decreased. Meloidogyne and Pratylenchus were the dominant plant-parasitic genera across locations, but bacterivores were dominant in southern sites at field replanting. Heat map delineated two distinct groups of nematode distribution within the geoenvironmental zones, rather than the sampling times. Pratylenchus density was high in both groups, but in contrast with Meloidogyne and Criconemella, the abundance of Pratylenchus and Helicotylenchus was higher in sites with lower soil bulk density and higher porosity, clay, organic matter, and water contents as those in the southern sites, reflecting edaphic climatic conditions.

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“…Enzymes activities have been suggested as sensitive indicators of soil biological properties (Dick, 1997;Nannipieri, 1994). The literature assessed showed that natural habitats have the highest enzymes' activity followed by pasture, while sugarcane presented a low enzymes' activity (Cardoso et al, 2016;Brackin et al, 2013;Ye and Wright, 2010;Sant'Anna et al, 2009;Zou and Bashkin, 1998;Magarey et al, 1997).…”

Section: Soil Biological Propertiesmentioning

confidence: 99%

What are the Impacts of Sugarcane Production on Ecosystem Services? A Review

Chami¹,

Daccache²,

Moujabber³

2020

Preprint

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Since the 1950s sugarcane production has grown rapidly from less than 0.5 billion tonnes in the late 50s to reach over 1.9 billion tonnes in 2012 on about 27 million hectares of agricultural land. This expansion has been boosted by the high demand for bioethanol promoted as a sustainable bioenergy source which accounted in 2010 for the biggest share of the global biofuel market. Despite its benefits, the scientific debate on sugar is growing especially that counterarguments are so many, including negative impacts on different interacting ecosystems and human well-being, e.g. bigger stress on land and water resources, environmental externalities on air, a harmful impact on the biodiversity and endemic species, negative environmental externalities, health, and socio-economic aspects. This paper provides a narrative systematic review (SR) of the impacts of sugarcane production on these different ecosystems employing the ecosystem services framework for its acceptance by policy-makers. The references included for the SR were 163 and results showed that the majority of the studies are from Brazil, Australia, South Africa and the USA (≈ 75% of the literature), most of them were from peer-reviewed journals (85%), and most of the case studies adopted a quantitative research approach (93%). The literature assessed showed that sugarcane, like all agro-systems, depends on the practices and techniques to transform negative impacts into positive externalities on ecosystems and human well-being. However, the literature studied failed to include the inter-linkage in sugarcane production impacts’ and therefore to evaluate the related ecosystem services with respect to the Millennium Ecosystem Assessment (MA) framework to account for existing trade-offs. Therefore, the findings are addressed to the scientific community and decision-maker for an intensification of interdisciplinary and integrated research based on the MA framework to cover all ecosystem services, for sustainable development of the sugarcane sector.

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Relationship between nematode assemblages and physical properties across land use types

Cited by 15 publications

References 32 publications

Diabetes Risk Data Mining Method Based on Electronic Medical Record Analysis

Diabetes Risk Data Mining Method Based on Electronic Medical Record Analysis

Nematode abundance and diversity in sugarcane fields in Brazil

What are the Impacts of Sugarcane Production on Ecosystem Services? A Review

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