Search results for "Agronomy"

showing 10 items of 2540 documents

AlomySys: Modelling black-grass (Alopecurus myosuroides Huds.) germination and emergence, in interaction with seed characteristics, tillage and soil …

2006

International audience; Weed emergence models are increasingly necessary to evaluate and design cropping systems. The model AlomySys was developed for a frequent and harmful weed, i.e. Alopecurus myosuroides Huds. [Colbach, N., Dürr, C., Roger-Estrade, J., Caneill, J., 2005a. How to model the effects of farming practices on weed emergence. Weed Res. 45, 2–17; Colbach, N., Dürr, C., Roger-Estrade, J., Chauvel, B., Caneill, J., 2005b. AlomySys: modelling blackgrass (Alopecurus myosuroides Huds.) germination and emergence, in interaction with seed characteristics, tillage and soil climate. I. Construction. Eur. J. Agronomy] and is based on sub-models predicting (a) soil environment (climate, s…

0106 biological sciencesAlopecurus myosuroides Huds[SDV]Life Sciences [q-bio]Soil ScienceGerminationPlant ScienceEmergence[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study01 natural sciencesTillageValidationDormancyCropping system2. Zero hungerbiologyAlopecurus myosuroidesSowing04 agricultural and veterinary sciences15. Life on landbiology.organism_classificationWeedTillageSoil structureAgronomyGerminationSeedling040103 agronomy & agricultureEnvironmental science0401 agriculture forestry and fisheriesWeedAgronomy and Crop ScienceSimulation010606 plant biology & botanyModelCropping system
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Diversity of macrofungi and exploitation of edible mushroom resources in the National Park “Appennino Lucano, Val D'Agri, Lagonegrese” (Italy)

2015

An investigation on the macrofungal diversity of the National Park “Appennino Lucano, Val D’Agri, Lagonegrese” (Basilicata, southern Italy) was carried out, together with an evaluation of wild edible mushrooms in agro-forest ecosystems and their possible exploitation as a new source of food and revenue in rural and under-developed areas of this region. An unpublished list of 249 mushroom taxa (229 Basidiomycota and 20 Ascomycota), mostly belonging to the genera Tricholoma, Tuber, Russula, Amanita, Boletus, Lactarius, Mycena, Agaricus, Clitocybe and Hygrophorus, growing in this important natural area is provided together with ecological characterization of the recorded specimens. Inonotus ob…

0106 biological sciencesAmanitabiologyNational parkEcologyTricholomaBoletus04 agricultural and veterinary sciencesPlant Sciencebiology.organism_classification01 natural sciencesMycenaRussulaEdible mushroomGeographyWild edible mushrooms fungal diversity National Parks Italy sustainable use of non-timber forest resourcesLactariusSettore BIO/03 - Botanica Ambientale E Applicata040103 agronomy & agriculture0401 agriculture forestry and fisheriesEcology Evolution Behavior and Systematics010606 plant biology & botanyPlant Biosystems - An International Journal Dealing with all Aspects of Plant Biology
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Effects of 1-Methylcyclopropene on postharvest quality traits, antioxidant activity and ascorbic acid content of mature-ripe mango fruits

2017

Introduction - Mango (Mangifera indica L.) is a climacteric fruit, very sensitive to prolonged storage with a relatively short postharvest life. The aim of this study was to investigate the effects of 1-MCP treatment on the pomological and sensory traits, antioxidant capacity and ascorbic acid content in late ripening mature-ripe mango fruits submitted to a simulated shelf life at 20 degrees C. Materials and methods - Mango late ripening fruits (cv. Keitt) were harvested from a commercial orchard, located at Furiano, province of Messina (Sicily, Italy; 38 degrees 3'N, 14 degrees 33'E; 5 m a.s.l.). Fruits were treated with 1-MCP (0.005 kg m(-3)) for 20 h in 1 m(3) closed containers and then …

0106 biological sciencesAntioxidantmango1-MCPmedicine.medical_treatmentTitratable acidHorticulture1-Methylcyclopropene01 natural sciencesSensory analysis040501 horticulturesensory analysischemistry.chemical_compoundSoluble solidsmedicineMediterranean regionphysicochemical characteristicChemistryfruit qualityMangifera indica04 agricultural and veterinary sciencesAscorbic acidHorticulturePostharvestCrop quality0405 other agricultural sciencesAgronomy and Crop Science010606 plant biology & botanyFood Science
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Isolation and determination of phenolic compounds from freshwater Cladophora glomerata

2020

Abstract Marine algae biomass has gained widespread interest in the world of science and many industries. The growing number of publications proves that these algae are an interesting and essential natural resource. This interest is due to the presence of a variety of biologically active compounds that give algae extracts a broad spectrum of biological and functional properties. However, there is little data on the chemical composition of algae obtained from freshwater. This work focuses on the isolation and determination of phenolic compounds from freshwater algae of the species Cladophora glomerata. Different types of extraction and extractants were used to isolate these bioactive compoun…

0106 biological sciencesAntioxidantmedicine.medical_treatmentExtraction01 natural scienceschemistry.chemical_compoundChlorogenic acidAlgaeAntioxidant activitymedicineVanillic acidGallic acidFood sciencebiology010604 marine biology & hydrobiology010401 analytical chemistryExtraction (chemistry)Syringic acidbiology.organism_classificationFreshwater algaePhenolic compounds0104 chemical scienceschemistryCladophora glomerataMyricetinAgronomy and Crop ScienceAlgal Research-Biomass Biofuels and Bioproducts
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Evaluation of fruit quality and antioxidant activity of kiwifruit during ripening and after storage

2016

BACKGROUND: In the Northern hemisphere kiwifruit harvest time is conditioned by low temperatures occurring during the harvesting season while in Southern Italy minimum temperatures in autumn are high enough to support fruit growth and ripening. OBJECTIVE: To evaluate the influence of delayed harvest time on kiwifruit quality attributes. METHODS: The experiment was carried out in a commercial kiwifruit, 'Hayward', orchard located in Southern Italy. In this area, the conventional harvest time occurs 160 days after full bloom (DAFB), during the first decade of November. Fruits were collected from 130 DAFB to 192 DAFB. Fresh fruit and dry weight, flesh color, firmness, total soluble solids cont…

0106 biological sciencesAntioxidantmedicine.medical_treatmentSoil ScienceTitratable acidPlant ScienceBiologyHorticulture01 natural sciencesBiochemistrystorage0404 agricultural biotechnologyDry weightSoluble solidsmedicineActinidia deliciosaFleshfood and beveragesRipening04 agricultural and veterinary sciencesAscorbic acid040401 food scienceSettore AGR/03 - Arboricoltura Generale E Coltivazioni ArboreeHorticulturepolyphenolAgronomyOrchardAntioxidantAgronomy and Crop Science010606 plant biology & botanyFood Science
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Determination of fatty acids content, global antioxidant activity and energy value of weed seeds from agricultural fields in France.

2016

18 pages; International audience; The ecological consequences of seed size variation have been studied extensively in plants. Curiously, little attention has been paid to the qualitative and quantitative variation of the seed-stored molecules and on their ecological significance. Here, we analysed the oil content and oil composition of ca. 200 weed seed species from agricultural fields in France based on single seed accessions, concentrating on interspecies differences and ignoring within-species variation. The relationships between seed weight, oil %, fatty acids (FAs) and the energetic value of the seed and its antioxidant properties were also investigated. The antioxidant activity could …

0106 biological sciencesAntioxidantseed traitsoxidationmedicine.medical_treatment[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutrition[SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/AgronomyPlant ScienceBiologyQuantitative variation010603 evolutionary biology01 natural sciencesfatty acids[ SDV.SA.AGRO ] Life Sciences [q-bio]/Agricultural sciences/AgronomylipidOil contentmedicineweedsEcology Evolution Behavior and Systematics2. Zero hungerbusiness.industryfood and beverages15. Life on landAgronomygerminationGerminationAgricultureSeed predationComposition (visual arts)WeedbusinessAgronomy and Crop Science[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition010606 plant biology & botanyenergy
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Pulsed electric field and pH assisted selective extraction of intracellular components from microalgae Nannochloropsis

2015

Abstract The study was aimed at investigation of the potential of pulsed electric field (PEF) pre-treatment as a preliminary step of pH-assisted aqueous extraction of algae components from microalgae Nannochloropsis suspensions. The PEF and sonication (S) were compared as pretreatment methods. They were applied at normal (pH = 8.5) and basic (pH = 11) conditions, and supplementary basic extraction (at pH = 11) was done. The extracts were analyzed for content of pigments, proteins, carbohydrates, total phenolic compounds and antioxidant capacity. The colloidal stability of PEF- and S-pretreated suspensions was also evaluated. The data evidence that PEF technique allows selective extraction o…

0106 biological sciencesAqueous solutionChromatographybiologyChemistrySonicationExtraction (chemistry)04 agricultural and veterinary sciencesbiology.organism_classification040401 food science01 natural sciencesrespiratory tract diseasesPigmentColloid[SPI]Engineering Sciences [physics]0404 agricultural biotechnology010608 biotechnologyvisual_artElectric fieldvisual_art.visual_art_medium[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process EngineeringAgronomy and Crop ScienceNannochloropsisIntracellularComputingMilieux_MISCELLANEOUS
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Evaluation of image processing technique as an expert system in mulberry fruit grading based on ripeness level using artificial neural networks (ANNs…

2020

Abstract Image processing and artificial intelligence (AI) techniques have been applied to analyze, evaluate and classify mulberry fruit according to their ripeness (unripe, ripe, and overripe). A total of 577 mulberries were graded by an expert and the images were captured by an imaging system. Then, the geometrical properties, color, and texture characteristics of each segmented mulberry was extracted using two feature reduction methods: Correlation-based Feature Selection subset (CFS) and Consistency subset (CONS). Artificial Neural Networks (ANN) and Support Vector Machine (SVM) were applied to classify mulberry fruit. ANN classification with the CFS subset feature extraction method res…

0106 biological sciencesArtificial neural networkbusiness.industryFeature extractionPattern recognitionFeature selectionImage processing04 agricultural and veterinary sciencesHorticulturecomputer.software_genreRipeness01 natural sciencesExpert system040501 horticultureMachine vision systemSupport vector machineArtificial intelligence0405 other agricultural sciencesbusinessAgronomy and Crop Sciencecomputer010606 plant biology & botanyFood ScienceMathematicsPostharvest Biology and Technology
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Environment-sensitivity functions for gross primary productivity in light use efficiency models

2022

International audience; The sensitivity of photosynthesis to environmental changes is essential for understanding carbon cycle responses to global climate change and for the development of modeling approaches that explains its spatial and temporal variability. We collected a large variety of published sensitivity functions of gross primary productivity (GPP) to different forcing variables to assess the response of GPP to environmental factors. These include the responses of GPP to temperature; vapor pressure deficit, some of which include the response to atmospheric CO2 concentrations; soil water availability (W); light intensity; and cloudiness. These functions were combined in a full fact…

0106 biological sciencesAtmospheric Science010504 meteorology & atmospheric sciencesVapour Pressure DeficitBiomeRandomly sampled sitesPlant Ecology and Nature ConservationForcing (mathematics)04 Earth Sciences 06 Biological Sciences 07 Agricultural and Veterinary SciencesAtmospheric sciences01 natural sciences[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsFluxNetLaboratory of Geo-information Science and Remote SensingEvapotranspirationMeteorology & Atmospheric SciencesEcosystemLaboratorium voor Geo-informatiekunde en Remote SensingRadiation use efficiencySensitivity formulations0105 earth and related environmental sciencesGlobal and Planetary ChangeDiffuse fractionGlobal warmingModel equifinalityForestryModel comparison15. Life on landPE&RCLight intensity13. Climate actionEnvironmental sciencePlantenecologie en NatuurbeheerCarbon assimilationTemporal scalesAgronomy and Crop Science010606 plant biology & botany
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Alder pollen in Finland ripens after a short exposure to warm days in early spring, showing biennial variation in the onset of pollen ripening

2017

Abstract We developed a temperature sum model to predict the daily pollen release of alder, based on pollen data collected with pollen traps at seven locations in Finland over the years 2000–2014. We estimated the model parameters by minimizing the sum of squared errors (SSE) of the model, with weights that put more weight on binary recognition of daily presence or absence of pollen. The model results suggest that alder pollen ripens after a couple of warm days in February, while the whole pollen release period typically takes up to 4 weeks. We tested the model residuals against air humidity, precipitation and wind speed, but adding these meteorological features did not improve the model pr…

0106 biological sciencesAtmospheric Science010504 meteorology & atmospheric sciencesta1171Atmospheric sciencesmedicine.disease_causeAlnus01 natural sciencesAlderPollenotorhinolaryngologic diseasesmedicineMonte Carlo resamplingPrecipitationsiitepöly0105 earth and related environmental sciencespollen seasonGlobal and Planetary Changefloweringbiologyta114kukintaAnomaly (natural sciences)ta1183food and beveragesHumidityForestryRipeningennusteetmodelingalderbiology.organism_classificationta4112leppäMonte Carlo -menetelmätAlder pollenClimatologyta1181Short exposureAgronomy and Crop Science010606 plant biology & botanyAgricultural and Forest Meteorology
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