Search results for "Fishe"

showing 10 items of 2001 documents

Typology of exogenous organic matters based on chemical and biochemical composition to predict potential nitrogen mineralization

2010

Our aim was to develop a typology predicting potential N availability of exogenous organic matters (EOMs) in soil based on their chemical characteristics. A database of 273 EOMs was constructed including analytical data of biochemical fractionation, organic C and N, and results of N mineralization during incubation of soil–EOM mixtures in controlled conditions. Multiple factor analysis and hierarchical classification were performed to gather EOMs with similar composition and N mineralization behavior. A typology was then defined using composition criteria to predict potential N mineralization. Six classes of EOM potential N mineralization in soil were defined, from high potential N minerali…

[SDV.BIO]Life Sciences [q-bio]/Biotechnologygenetic structures010501 environmental sciences01 natural sciencesMinéralisationBiochemical compositionOrganic ChemicalsWaste Management and DisposalHigh potentialhttp://aims.fao.org/aos/agrovoc/c_35657chemistry.chemical_classificationMineralsChemistry04 agricultural and veterinary sciencesGeneral MedicineComposition chimiqueClassificationhierarchical classificationDisponibilité d'élément nutritifCycle de l'azoteEnvironmental chemistryhttp://aims.fao.org/aos/agrovoc/c_5193http://aims.fao.org/aos/agrovoc/c_1794AlgorithmsP33 - Chimie et physique du solBiochemical fractionationEnvironmental EngineeringNitrogenhttp://aims.fao.org/aos/agrovoc/c_7170Mineralogybiochemical fractionationBioengineeringhttp://aims.fao.org/aos/agrovoc/c_27938FractionationTeneur en azoten mineralizationMatière organique du solhttp://aims.fao.org/aos/agrovoc/c_5268Fertilité du solMultiple factor analysisOrganic matterComputer SimulationNitrogen cycle0105 earth and related environmental sciencesRenewable Energy Sustainability and the EnvironmentP35 - Fertilité du sol[ SDV.BIO ] Life Sciences [q-bio]/BiotechnologyMineralization (soil science)eye diseasesAmendement organiqueModels Chemical040103 agronomy & agriculture0401 agriculture forestry and fisheriessense organsexogenous organic mattertypologyhttp://aims.fao.org/aos/agrovoc/c_12965http://aims.fao.org/aos/agrovoc/c_1653http://aims.fao.org/aos/agrovoc/c_15999F04 - Fertilisation
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Biogeographical patterns of soil bacterial communities.

2009

International audience; This study provides the first maps of variations in bacterial community structure on a broad scale based on genotyping of DNA extracts from 593 soils from four different regions of France (North, Brittany, South-East and Landes). Soils were obtained from the soil library of RMQS (Réseau de Mesures de la Qualité des Sols = French soil quality monitoring network). The relevance of a biogeographic approach for studying bacterial communities was demonstrated by the great variability in community structure and specific geographical patterns within and between the four regions. The data indicated that the distribution of bacterial community composition might be more relate…

[SDV.OT]Life Sciences [q-bio]/Other [q-bio.OT]Soil biodiversity[SDV]Life Sciences [q-bio]BiodiversityDistribution (economics)03 medical and health sciencesEcology Evolution Behavior and Systematics030304 developmental biology2. Zero hunger0303 health sciencesLand useEcologybusiness.industryCommunity structureGEOGRAPHICAL PATTERNS04 agricultural and veterinary sciences15. Life on landSoil typeAgricultural and Biological Sciences (miscellaneous)Soil qualityGeographySoil water[SDE]Environmental Sciences040103 agronomy & agricultureGENOTYPING OF DNA EXTRACTS0401 agriculture forestry and fisheriesBACTERIAL COMMUNITIESbusinessEnvironmental microbiology reports
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A priori parameterisation of the CERES soil-crop models and tests against several European data sets

2002

Mechanistic soil-crop models have become indispensable tools to investigate the effect of management practices on the productivity or environmental impacts of arable crops. Ideally these models may claim to be universally applicable because they simulate the major processes governing the fate of inputs such as fertiliser nitrogen or pesticides. However, because they deal with complex systems and uncertain phenomena, site-specific calibration is usually a prerequisite to ensure their predictions are realistic. This statement implies that some experimental knowledge on the system to be simulated should be available prior to any modelling attempt, and raises a tremendous limitation to practica…

[SDV.SA]Life Sciences [q-bio]/Agricultural sciences010504 meteorology & atmospheric sciencesMean squared errorCalibration (statistics)Nitrogen en l'agriculturaExtrapolationExtrapolation01 natural sciencesWater balanceStatisticsWater contentWater balanceExtrapolation; Nitrogen dynamics; Soil-crop modelsComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciences2. Zero hunger[SDV.SA] Life Sciences [q-bio]/Agricultural sciencesObservational errorEcologySoil organic matter04 agricultural and veterinary sciencesBILAN AZOTENitrogen dynamics15. Life on landSoil-crop modelsSoil water040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceAgronomy and Crop Scienceconreu
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Indicators of agricultural intensity and intensification: a review of the literature

2015

Since the 1960s, research has dealt with agricultural intensification (AI) as a solution to ensure global food security. Recently, sustainable intensification (SI) has increasingly been used to describe those agricultural and farming systems that ensure adequate ecosystem service provision. Studies differ in terms of the application scales and methodologies, thus we aim to summarize the main findings from the literature on how AI and SI are assessed, from the farm to global levels. Our literature review is based on 7865 papers selected from the Web of Science database and analysed using CorText software. A further selection of 105 relevant papers was used for an in-depth full-text analysis …

[SDV.SA]Life Sciences [q-bio]/Agricultural sciences010504 meteorology & atmospheric sciencesagriculture intensiveAgronomia[SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/Agronomy01 natural sciencesEcosystem servicesmedia_common2. Zero hungerFood securityIntensive farmingAgriculturaEnvironmental resource managementspatial scales[SHS.GEO]Humanities and Social Sciences/Geography04 agricultural and veterinary sciencesAgroécologiesustainabilityAgricultural sciencesindicateur de rechercheéchelle spatialeGeographyLand use intensity;ecosystem services;farming systems;indicators;spatial scales;sustainabilitymedia_common.quotation_subjectlcsh:Plant cultureEconomiaécosystèmelcsh:AgricultureLand use intensitysustainability.[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/Ecosystemssystème agricolelcsh:SB1-1110farming systemsAgricultural productivity0105 earth and related environmental sciencesétat de l'artbusiness.industrylcsh:S[SDV.SA.AEP]Life Sciences [q-bio]/Agricultural sciences/Agriculture economy and politics15. Life on land[SDE.ES]Environmental Sciences/Environmental and SocietyindicatorsAgricultureSustainability040103 agronomy & agriculturedéveloppement agricole durable0401 agriculture forestry and fisherieslittératureMonocultureecosystem servicesbusinessAgronomy and Crop ScienceSciences agricolesDiversity (politics)Italian Journal of Agronomy
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Effect of incorporation of Brassica napus L. residues in soils on mycorrhizal fungus colonisation of roots and phosphorus uptake by maize (Zea mays L…

2007

International audience; Plants in the Brassicaceae family are known to contain thioglucoside compounds that produce isothiocyanates when tissues are disrupted. These chemicals have a negative effect on soil-borne fungal pathogens, and possibly on vesicular-arbuscular mycorrhizal (AM) fungi. We investigated the effect of incorporation of Brassica napus L. residues in a soil on mycorrhizal colonisation of roots, P uptake and growth of following maize (Zea mays L.) crop. A pot experiment was carried out in a glasshouse with pre-inoculation with Glomus intraradices (+I and -I), incorporation of B. napus L. residues (+R and -R) and mineral P fertilization (+P and -P) as studied factors. The soil…

[SDV.SA]Life Sciences [q-bio]/Agricultural sciences0106 biological sciencesCRUCIFERAEGLUCOSINOLATEFumigationBrassicaSoil SciencePlant ScienceBIOFUMIGATION01 natural scienceschemistry.chemical_compoundPoaceaeMycorrhizaCOLZABRASSICA2. Zero hungerbiologyfungifood and beveragesBrassicaceae04 agricultural and veterinary sciencesbiology.organism_classificationMYCORRHIZAEZYGOMYCOTINAColonisationBiopesticideAgronomychemistryGlucosinolate040103 agronomy & agriculture0401 agriculture forestry and fisheriesGLOMUSAgronomy and Crop Science010606 plant biology & botanyEuropean Journal of Agronomy
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Morphology and yield response to weed pressure by corn hybrids differing in canopy architecture

2001

Abstract Recently, corn ( Zea mays L.) hybrids accumulating more leaf area above the ear, maturing earlier, yielding better in narrower row spacings and tolerating higher population densities than conventional hybrids have been developed. However, no research has been conducted to assess their ability to compete with weeds. The objective of this study was to quantify morphological and grain yield responses of hybrids with differing canopy architectures to the presence and absence of weeds. Field experiments were conducted in 1996, 1997, and 1998 at Ste. Anne de Bellevue, Quebec and in 1996 at Ottawa, Ontario. Three hybrids, leafy reduced-stature (LRS), late maturing big leaf (LMBL), and con…

[SDV.SA]Life Sciences [q-bio]/Agricultural sciences0106 biological sciencesCanopy[SDV.SA] Life Sciences [q-bio]/Agricultural sciencesmedia_common.quotation_subjectField experimentSoil Science04 agricultural and veterinary sciencesPlant ScienceInterspecific competition15. Life on landBiology01 natural sciencesPopulation densityCompetition (biology)Agronomy040103 agronomy & agriculture0401 agriculture forestry and fisheriesPoaceaeWeedAgronomy and Crop ScienceComputingMilieux_MISCELLANEOUS010606 plant biology & botanymedia_commonHybrid
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Dependence of seed nitrogen concentration on plant nitrogen availability during the seed filling in pea

1999

Abstract The final seed nitrogen (N) concentration of the pea ( Pisum sativum L.) varies greatly with environment. These variations seem to be related to N availability in the plant. To understand such an effect, the pattern of seed N concentration during seed filling was analysed at a given node as the ratio of seed N accumulation rate and seed dry matter accumulation rate. Three experiments were conducted in the field and glasshouse. Pea genotypes ‘Solara’, ‘Frisson’ and its non-nodulating mutant ‘P2’ were grown and different treatments were applied to manipulate N availability during seed filling. Treatments included N supply (addition of N fertiliser), depodding (removal of pods) and de…

[SDV.SA]Life Sciences [q-bio]/Agricultural sciences0106 biological sciencesFructification[SDV]Life Sciences [q-bio]BESOIN EN AZOTESoil Sciencechemistry.chemical_elementConcentration effectPlant ScienceGrain fillingBiology01 natural sciencesPisumSativum[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal BiologyDry matterSeed N concentrationComputingMilieux_MISCELLANEOUS2. Zero hunger[SDV.SA] Life Sciences [q-bio]/Agricultural sciencesPeafood and beverages04 agricultural and veterinary sciencesbiology.organism_classificationNitrogen[SDV] Life Sciences [q-bio]Rate of seed N accumulationchemistryAgronomyPlant N availability040103 agronomy & agriculture0401 agriculture forestry and fisheriesRate of seed dry matter accumulationAgronomy and Crop Science010606 plant biology & botany
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: J. Sci. Food Agric.

2017

Background: The measurement of carbon isotopic discrimination in grape sugars at harvest (δ13 C) is an integrated assessment of water status during ripening. It is an efficient alternative to assess variability in the field and discriminate between management zones in precision viticulture, but further work is needed to completely understand the signal.; Results: This work, spanning over 3 years, performed in a hillslope toposequence in Burgundy, delineates the relationships between main soil properties (gravel amount, slope, texture) and the grapevine water status assessed by δ13 C. The highest δ13 C, indicating most severe water deficit, was recorded in gravelly soils on steep slopes. The…

[SDV.SA]Life Sciences [q-bio]/Agricultural sciences0106 biological sciencesPropriété du solLeaf waterDisponibilité hydrique01 natural scienceswater stressDiscrimination isotopique du carbone[SDU.STU.GC]Sciences of the Universe [physics]/Earth Sciences/Geochemistry[SDV.IDA]Life Sciences [q-bio]/Food engineeringBotanyBourgogne[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyVigneSoil propertiesSlop[ SDV.SA ] Life Sciences [q-bio]/Agricultural sciencesTerroir2. Zero hungerViticultureNutrition and Dieteticsterroir[ SDV.IDA ] Life Sciences [q-bio]/Food engineeringRipening04 agricultural and veterinary sciences15. Life on land[ SDU.STU.GC ] Sciences of the Universe [physics]/Earth Sciences/Geochemistrycarbon isotopic discriminationHorticultureVitis viniferaPrecision viticultureSoil waterslope040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceComposition (visual arts)ViticultureAgronomy and Crop Science010606 plant biology & botanyFood ScienceBiotechnologyJournal of the Science of Food and Agriculture
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Contamination of rapeseed harvest by volunteers of other varieties : a study of intergenotypic competition

2004

Rapeseed volunteers in rapeseed crops can cause contamination in harvest through pollen and seeds. The aim of the study was to predict pollen and seed production by volunteers in winter rapeseed crops according to the genotypes of the crop and the volunteers. Firstly an experimental analysis of intraspecific competition was carried out in 2000 and 2001 on two and six genotypes, respectively. The main competition period begins with vegetation onset and affects pollen and seed production of the volunteers. Relations between density, height, yield and number of flowers were developed based on results from experiments and literature. Knowing the densities and heights of volunteers and crop on t…

[SDV.SA]Life Sciences [q-bio]/Agricultural sciences0106 biological sciencesRapeseedmedia_common.quotation_subjectSoil SciencePlant ScienceBiologymedicine.disease_cause01 natural sciencesIntraspecific competitionCompetition (biology)CropYield (wine)PollenmedicineAGRONOMIEVolunteerCOLZAComputingMilieux_MISCELLANEOUSmedia_common2. Zero hunger[SDV.SA] Life Sciences [q-bio]/Agricultural sciencesfungifood and beverages04 agricultural and veterinary sciencesVegetationAgronomy040103 agronomy & agriculture0401 agriculture forestry and fisheriesAgronomy and Crop Science010606 plant biology & botany
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Assessing non-chemical weeding strategies through mechanistic modelling of blackgrass (Alopecurus myosuroides Huds.) dynamics

2010

 ; Because of environmental and health safety issues, it is necessary to develop strategies that do not rely on herbicides to manage weeds. Introducing temporary grassland into annual crop rotations and mechanical weeding are the two main features that are frequently used in integrated and organic cropping systems for this purpose. To evaluate the contribution of these two factors in interaction with other cropping system components and environmental conditions, the present study updated an existing biophysical model (i.e. AlomySys) that quantifies the effects of cropping system on weed dynamics. Based on previous experiments, new sub-models were built to describe the effects on plant survi…

[SDV.SA]Life Sciences [q-bio]/Agricultural sciences0106 biological sciencesgeneric modelbusiness.product_categorynitrogen balancescrop-rotationGRASSLANDMECHANICAL WEEDINGSoil SciencePlant ScienceVULPIN DES CHAMPS01 natural sciencesPloughATV Farm Technologyseed characteristicsCropping system[ SDV.SA ] Life Sciences [q-bio]/Agricultural sciencesMathematics2. Zero hungerCROPPING SYSTEMSowingpopulation-dynamics04 agricultural and veterinary sciences15. Life on landCrop rotationWeed controlPE&RCsimulationCrop protectionTillageMODELsoil climateAgronomyINTEGRATED CROP PROTECTION040103 agronomy & agriculturetillage0401 agriculture forestry and fisheriessystemsWEED DYNAMICSWeedbusinessAgronomy and Crop Sciencemanagement010606 plant biology & botany
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