Search results for " cropping system"

showing 7 items of 7 documents

Application of multivariate analysis techniques for selecting soil physical quality indicators: A case study in long-term field experiments in Apulia…

2019

Long-term field experiments and multivariate analysis techniques represent research tools that may improve our knowledge on soil physical quality (SPQ) assessment. These techniques allow us to measure relatively stable soil conditions and to improve soil quality judgment, thereby reducing uncertainties. A monitoring of SPQ under long-term experiments, aimed at comparing crop residue management strategies (burning vs. incorporation of straw, FE1) and soil management (minimum tillage vs. no tillage, FE2), was established during the crop growing season of durum wheat. The relationships between five SPQ indicators (bulk density [BD], macroporosity [PMAC], air capacity [AC], plant available wate…

Crop residueHydraulic conductivity Cropping system TillageSoil Science04 agricultural and veterinary sciences010501 environmental sciences01 natural sciencesAvailable water capacitySoil qualitySoil managementMinimum tillageField capacityTillageSoil waterStatistics040103 agronomy & agriculture0401 agriculture forestry and fisheriesSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestali0105 earth and related environmental sciencesMathematics
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No till soil organic carbon sequestration could be overestimated when slope effect is not considered

2020

Abstract No tillage (NT) soil management has been considered a strategy for the implementation of environmental sustainability and a possible tool of soil organic carbon (SOC) sequestration. Considering the wide range of data on SOC change after NT application in relation to conventional tillage (CT) in different studies, further researches are needed over a diverse range of soil and climate before a proper estimation of the benefits can be provided by the NT. A data set composed of cereal cropping system studies, comparing the SOC content under CT and NT was compiled from the literature using the scientific repositories “Scopus” and “Science direct”. This aims to i) discriminate and quanti…

Environmental EngineeringConventional tillage010504 meteorology & atmospheric sciencesSoil morphologySoil scienceSoil carbon010501 environmental sciences01 natural sciencesPollutionSettore AGR/02 - Agronomia E Coltivazioni ErbaceeTillageSoil managementAridity index Carbon account Conservative agriculture Semi-arid environment Cereal cropping systemsNo-till farmingEnvironmental ChemistryEnvironmental scienceAridity indexCropping systemWaste Management and Disposal0105 earth and related environmental sciences
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Assessing human health risks from pesticide use in conventional and innovative cropping systems with the BROWSE model

2017

Background: Reducing the risks and impacts of pesticide use on human health and on the environment is one of the objectives of the European Commission Directive 2009/128/EC in the quest for a sustainable use of pesticides. This Directive, developed through European national plans such as Ecophyto plan in France, promotes the introduction of innovative cropping systems relying, for example, on integrated pest management. Risk assessment for human health of the overall pesticide use in these innovative systems is required before the introduction of those systems to avoid that an innovation becomes a new problem. Objectives: The objectives of this work were to assess and to compare (1) the hum…

Integrated pest management[SDV]Life Sciences [q-bio]H02 - Pesticides010501 environmental sciences01 natural sciencesCropping systemChildHectarelcsh:Environmental sciencesPlant protection productsRisk assessmentGeneral Environmental Sciencelcsh:GE1-3502. Zero hungerEnvironmental resource managementfood and beveragesAgriculture04 agricultural and veterinary sciencesHuman exposure[SDV] Life Sciences [q-bio]Work (electrical)BROWSE modelFranceRisk assessmentP02 - PollutionAdultCrops Agriculturalhttp://aims.fao.org/aos/agrovoc/c_28744EnvironmentBROWSE model ; Human exposure ; Plant protection products ; Risk assessment ; Cropping systemPollution par l'agriculturehttp://aims.fao.org/aos/agrovoc/c_3081HumansPesticidesEnvironmental planning0105 earth and related environmental sciences[ SDV ] Life Sciences [q-bio]business.industryEnvironmental Exposurehttp://aims.fao.org/aos/agrovoc/c_5739Models Theoretical15. Life on landPesticidePesticidehttp://aims.fao.org/aos/agrovoc/c_3401313. Climate actionSustainability040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental sciencebusinessCroppingDanger pour la santéCropping systemEnvironment International
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Nitrogen input effectiveness on carbon sequestration in rainfed cropping system

2016

The combined effect of total N and C/N ratio had a large influence on the decomposition rate and consequently on potential soil organic carbon sequestration. The aim of the work was to evaluate Carbon sequestration potentiality under three mineral N fertilization levels in interaction with two cropping systems characterized by addition of N input due to leguminous species in the rotation. The study was carried out in the semiarid Mediterranean environment in a 18years long-term experiment. Is well know that in the semiarid environment the excess of N fertilization reduces biomass yield and the consequent C input. On the contrary, both N and C input determine high difference in C/N input rat…

Nitrogen input carbon sequestration cropping systemSettore AGR/02 - Agronomia E Coltivazioni Erbacee
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Soil quality indicators as affected by a long term barley-maize and maize cropping systems

2011

Most soil studies aim a better characterization of the system through indicators. In the present study nematofauna and soil structure were chosen as indicators to be assess soil health as related to agricultural practices. The field research was carried out on the two fodder cropping systems continuous maize (CM, Zea mays L.) and a 3-year rotation of silage-maize – silage-barley (Hordeum vulgare L.) with Italian ryegrass (R3) and grain-maize maintained in these conditions for 18 years. Each crop system was submitted to two management options: 1) the high input level (H), done as a conventional tillage, 2) the low input level (L), where the tillage was replaced by harrowing and the…

Soil biodiversitylcsh:Plant culturecropping systemmaizeharrowingrotationlcsh:AgricultureNo-till farmingfreeliving nematodecrop rotationsoil health indicators nematofauna aggregate stability cropping systemsoil physical propertielcsh:SB1-1110Cropping systemaggregate stabilitySoil healthfree living nematodesoil chemical propertiesoil cultivationlcsh:Sbarleyphysical properties of soilrotational croppingSoil qualitynematofaunacornSoil structureAgronomyZea mays chemical properties of soilsoil health indicatorsEnvironmental scienceHordeum vulgareSoil fertilityAgronomy and Crop Sciencetillage Hordeum vulgare
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Changing agricultural practices modify the species and trait composition of the weed flora. A simulation study using a cropping system model

2012

International audience

[SDV] Life Sciences [q-bio][SDE] Environmental Sciencesmodel[SDV]Life Sciences [q-bio]history-life trait[SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologyweed cropping system history-life trait simulation modelcropping systemsimulationComputingMilieux_MISCELLANEOUSweed
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Modelling the fate of pesticides in innovative cropping systems disigned to reduce the use of pesticides

2016

EAAgroSupINRAGESTAD; The objective of this work was to assess and compare the ability of three pesticide fate models (MACRO, PEARL and PRZM) to simulate the concentration in leachates of pesticides applied in different conventional and innovative cropping systems. The test of the models was based on measurements of water flows and pesticides concentrations done in two French experimental sites. The results showed that MACRO was the most efficient model to simulate the amounts of percolated water and the concentrations of pesticides used in the various cropping systems

[SDV] Life Sciences [q-bio]modellingassesment[ SDV ] Life Sciences [q-bio]innovative cropping systemsfield experiment[SDV]Life Sciences [q-bio]food and beveragespesticides
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