Search results for "GRI"

showing 10 items of 10209 documents

Plant structure as a determinant of coriander (Coriandrum sativum L.) seed and straw yield

2020

Abstract Coriander (Coriandrum sativum L., Apiaceae) is a Mediterranean aromatic plant that is mainly cultivated for its fruits. Understanding the association between various vegetative and reproductive structures as they pertain to yield can help addressing efforts for achieving the highest productivity levels, by improving both cropping techniques and breeding. Multiple Regression (MR) analysis is a suitable tool to understand this association; notwithstanding, due to the plant’s inherent “weedy” growth, the interpretation of MR results in coriander is often difficult. Therefore, in our analysis we also calculated additional indicators of variable contribution to the model and to one anot…

0106 biological sciencesCorianderCoriandrumUmbelSoil SciencePlant Science01 natural sciencesSativumCoriandrum sativum L.Commonality analysiPath analysis (statistics)Dominance analysiA determinantStraw yieldApiaceaebiologyFruit yield04 agricultural and veterinary sciencesStrawbiology.organism_classificationSettore AGR/02 - Agronomia E Coltivazioni ErbaceeAgronomyMultiple regression analysi040103 agronomy & agriculture0401 agriculture forestry and fisheriesAgronomy and Crop ScienceCropping010606 plant biology & botanyEuropean Journal of Agronomy
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A nondestructive intelligent approach to real‐time evaluation of chicken meat freshness based on computer vision technique

2019

In this study, the capability of a procedure based on combination of computer vision (CV) and artificial intelligence techniques examined for intelligent and nondestructive prediction of chicken meat freshness during the spoilage process at 4°C. The proposed system comprises the following stages: capture images, image preprocessing, image processing, computing channels, feature extraction, feature selection by a hybrid of genetic algorithm (GA) and artificial neuronal network (ANN), and prediction by using ANN. The number of neurons in input layer was determined 33 (selected features) and freshness used as the output. The ideal ANN model was obtained with 33‐10‐1 topology. The high performa…

0106 biological sciencesCorrelation coefficientbusiness.industryComputer scienceGeneral Chemical Engineeringmedia_common.quotation_subjectFeature extractionProcess (computing)Image processingFeature selection04 agricultural and veterinary sciences040401 food science01 natural sciences0404 agricultural biotechnology010608 biotechnologyGenetic algorithmPreprocessorQuality (business)Computer visionArtificial intelligencebusinessFood Sciencemedia_commonJournal of Food Process Engineering
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Invasive bees and their impact on agriculture

2020

Fil: Aizen, Marcelo A. Universidad Nacional del Comahue. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina. Fil: Aizen, Marcelo A. Consejo Nacional de Investigaciones Científicas y Técnica. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina. Fil: Arbetman, Marina P. Universidad Nacional del Comahue. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina. Fil: Arbetman, Marina P. Consejo Nacional de Investigaciones Científicas y Técnica. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina. Fil: Chacoff, Natacha P. Universidad Nacional de Tucumán. Instituto de Ecología Regional; Argentina. Fil: Chalcoff, Vanin…

0106 biological sciencesCrop Pollinationmutualism costsAfrican Honey BeePollinationmedia_common.quotation_subjectcoffeeBee AbundanceContext (language use)Agricultura (General)Apis MelliferaCoffee010603 evolutionary biology01 natural sciencesCompetition (biology)Invasive BeesRaspberrycrop pollination03 medical and health sciencesMutualism Costsapis melliferaPollinatorBiodiversidad y Conservaciónbee abundanceDominance (ecology)bee trade030304 developmental biologymedia_common2. Zero hunger0303 health sciencesinvasive beesBombus Terrestrisbiologybusiness.industryAgroforestryBee TradeHoney beeEcologíabiology.organism_classificationGeographyAgricultureBombus terrestris[SDE]Environmental Sciencesbombus terrestrisbusinessafrican honey beeraspberry
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Impacts of agricultural intensification on bird communities: New insights from a multi-level and multi-facet approach of biodiversity

2016

International audience; Following the multiplicity of studies dealing with the effects of agricultural intensification on bird diversity, one of the lessons drawn is that these effects depend on both the taxonomic group, the component of diversity, the aspect of intensification, and the spatial scale. This often leads to disparate results among studies suggesting that the investigation of agriculture-biodiversity relationships suffers from scale-dependence, information redundancy, non-linearity problems, and thus, unpredictability.Here, we propose a multi-scale and multi-facet approach to clarify the impacts of agricultural intensification on biodiversity and possible mitigating actions. Ou…

0106 biological sciencesCrop practices010504 meteorology & atmospheric sciencesta1172BiodiversityBeta diversityScalesLand coverGeneralist and specialist speciesFarmland bird diversity010603 evolutionary biology01 natural sciences0105 earth and related environmental sciencesTrophic level2. Zero hungerEcologyAgroforestryEcologybusiness.industryAgricultural intensification15. Life on landGeographyLandscape homogenisationAgricultureSpatial ecologyta1181Biological dispersalAnimal Science and ZoologySpecies traits[SDE.BE]Environmental Sciences/Biodiversity and EcologybusinessAgronomy and Crop Science
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Agricultural feedstocks of two Brassica oilseed crops and energy cogeneration with pure vegetable oil for a sustainable short agro-energy chain in Si…

2018

Abstract Potential energy feedstocks from conventional agriculture usually include pure vegetable oil (PVO) and agricultural/forest residues. Their uses can represent a starting point for the development of short agro-energy chains in the south areas of the Mediterranean region. This paper focused on testing and awareness raising of biofuel production for the cogeneration of electricity and heat from PVO of two Brassica oilseed crops in Sicily (Italy). The main aims of this study were: i) to evaluate the agronomic performance of rapeseed (Brassica napus L. var. oleifera D.C.) and Ethiopian mustard (Brassica carinata A. Braun) in semi-arid climate condition; ii) to analyze the quality of PVO…

0106 biological sciencesCrop residueRapeseedCash/flow analysis020209 energyBrassicaDefatted seed meal02 engineering and technology01 natural sciencesRapeseedCombined heat and power plant0202 electrical engineering electronic engineering information engineeringbiologybusiness.industryBrassica carinatabiology.organism_classificationOilSettore AGR/02 - Agronomia E Coltivazioni ErbaceeEnergy cropVegetable oilAgronomyBiofuelAgricultureEnvironmental sciencebusinessAgronomy and Crop ScienceEthiopian mustard010606 plant biology & botany
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The application of the CRISPR-Cas9 genome editing machinery in food and agricultural science: Current status, future perspectives, and associated cha…

2019

The recent progress in genetic engineering has brought multiple benefits to the food and agricultural industry by enhancing the essential characteristics of agronomic traits. Powerful tools in the field of genome editing, such as siRNA-mediated RNA interference for targeted suppression of gene expression and transcription activator-like effector nucleases (TALENs) and zinc-finger nucleases (ZFNs) for DNA repair have been widely used for commercial purposes. However, in the last few years, the discovery of the CRISPR-Cas9 system has revolutionized genome editing and has attracted attention as a powerful tool for several industrial applications. Herein, we review current progresses in the uti…

0106 biological sciencesCrops AgriculturalComputer scienceBioengineeringComputational biology01 natural sciencesApplied Microbiology and Biotechnology03 medical and health sciencesGenome editingRNA interference010608 biotechnologyTranscription Activator-Like Effector NucleasesCRISPRFood IndustryHumans030304 developmental biologyGene Editing0303 health sciencesTranscription activator-like effector nucleasebusiness.industryPlants Genetically ModifiedZinc finger nucleaseZinc Finger NucleasesAgricultureGene TargetingEthical concernsCRISPR-Cas SystemsbusinessGenetic EngineeringBiotechnologyBiotechnology advances
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Towards food, feed and energy crops mitigating climate change

2011

Agriculture is an important source of anthropogenic emissions of the greenhouse gases (GHG), methane (CH 4 ) and nitrous oxide (N 2 O), and crops can affect the microbial processes controlling these emissions in many ways. Here, we summarize the current knowledge of plant–microbe interactions in relation to the CH 4 and N 2 O budgets and show how this is promoting new generations of crop cultivars that have the potential to mitigate GHG emissions for future agricultural use. The possibility of breeding low GHG-emitting cultivars is a paradigm shift towards sustainable agriculture that balances climate change and food and bioenergy security.

0106 biological sciencesCrops AgriculturalConservation of Natural ResourcesClimate ChangePlant ExudatesNitrous OxideClimate changePlant ScienceBiology7. Clean energy01 natural scienceskyoto protocolnitrogenCarbon CycleSoilBioenergyemission in agricultureSustainable agriculture[SDV.BV]Life Sciences [q-bio]/Vegetal BiologySoil Microbiology2. Zero hungerFood securityBacteriabusiness.industryAgroforestrymicrobial processmethanen2o04 agricultural and veterinary sciences15. Life on landNitrogen Cycleghg emissionEnergy crop13. Climate actionAgriculturegreenhouse gasGreenhouse gasWetlandsSustainabilityRhizosphere040103 agronomy & agriculture0401 agriculture forestry and fisheriesbusiness010606 plant biology & botany
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Binding Site Alteration Is Responsible for Field-Isolated Resistance to Bacillus thuringiensis Cry2A Insecticidal Proteins in Two Helicoverpa Species

2010

Background Evolution of resistance by target pests is the main threat to the long-term efficacy of crops expressing Bacillus thuringiensis (Bt) insecticidal proteins. Cry2 proteins play a pivotal role in current Bt spray formulations and transgenic crops and they complement Cry1A proteins because of their different mode of action. Their presence is critical in the control of those lepidopteran species, such as Helicoverpa spp., which are not highly susceptible to Cry1A proteins. In Australia, a transgenic variety of cotton expressing Cry1Ac and Cry2Ab (Bollgard II) comprises at least 80% of the total cotton area. Prior to the widespread adoption of Bollgard II, the frequency of alleles conf…

0106 biological sciencesCrops AgriculturalInsecticidesHelicoverpa punctigeraScienceUNESCO::CIENCIAS DE LA VIDA::Biología de insectos (Entomología)::Entomología generalBacillus thuringiensisBacterial ProteinGenetically modified cropsHelicoverpa armigera01 natural sciencesMicrobiologyLepidoptera genitaliaInsecticide Resistance03 medical and health sciencesBacterial ProteinsBacillus thuringiensisBotanyBacillus thuringiensiBiotechnology/Applied MicrobiologyAnimalsMode of actionBiotechnology/Plant BiotechnologyHelicoverpaInsecticide030304 developmental biology0303 health sciencesMultidisciplinaryBinding SitesbiologyAnimalQfungiBinding SiteRbiology.organism_classificationBinding site alterationHelicoverpa speciesLepidoptera010602 entomologyCry1AcBacillus thuringiensis; Binding site alteration; Helicoverpa speciesMedicine:CIENCIAS DE LA VIDA::Biología de insectos (Entomología)::Entomología general [UNESCO]Plant Biology/Agricultural BiotechnologyResearch ArticleProtein BindingPLoS ONE
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Insecticidal Activity of Bacillus thuringiensis Proteins against Coleopteran Pests

2020

Bacillus thuringiensis is the most successful microbial insecticide agent and its proteins have been studied for many years due to its toxicity against insects mainly belonging to the orders Lepidoptera, Diptera and Coleoptera, which are pests of agro-forestry and medical-veterinary interest. However, studies on the interactions between this bacterium and the insect species classified in the order Coleoptera are more limited when compared to other insect orders. To date, 45 Cry proteins, 2 Cyt proteins, 11 Vip proteins, and 2 Sip proteins have been reported with activity against coleopteran species. A number of these proteins have been successfully used in some insecticidal formulations and…

0106 biological sciencesCrops AgriculturalOrder ColeopteraHealth Toxicology and Mutagenesismedia_common.quotation_subjectBacillus thuringiensis proteinsBacillus thuringiensislcsh:MedicineInsectGenetically modified cropsReviewToxicologyInsecticidal activity01 natural sciencesinsecticidal activityLepidoptera genitalia03 medical and health sciencesHemolysin Proteinsmode of actionBacillus thuringiensisBotanyAnimalsstructureMode of actionPest Control Biologicalcoleopteran pests030304 developmental biologymedia_common0303 health sciencesbiologyBacillus thuringiensis Toxinslcsh:RfungiStructurebiology.organism_classificationPlants Genetically ModifiedColeopteraEndotoxins010602 entomologyBiological Control AgentsMode of actionColeopteran pests<i>Bacillus thuringiensis</i> proteinsBacteriaToxins
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Assessment of genetically modified soybean MON 87751 for food and feed uses under Regulation (EC) No 1829/2003 (application EFSA‐GMO‐NL‐2014‐121)

2018

Abstract Soybean MON 87751 was developed through Agrobacterium tumefaciens‐mediated transformation to provide protection certain specific lepidopteran pests by the expression of the Cry1A.105 and Cry2Ab2 proteins derived from Bacillus thuringiensis. The molecular characterisation data and bioinformatic analyses did not identify issues requiring assessment for food and feed safety. None of the compositional, agronomic and phenotypic differences identified between soybean MON 87751 and the conventional counterpart required further assessment. The GMO Panel did not identify safety concerns regarding the toxicity and allergenicity of the Cry1A.105 and Cry2Ab2 proteins as expressed in soybean MO…

0106 biological sciencesCry1AVeterinary (miscellaneous)Plant ScienceTP1-1185Biology01 natural sciencesMicrobiologyGenetically modified soybeansoybean (Glycinemax)MON877510404 agricultural biotechnologyEnvironmental safetyBacillus thuringiensisTX341-641Cry2Ab2Cry1A.105Animal healthbusiness.industryGMONutrition. Foods and food supplyChemical technologyfungiRegulation (EC) No 1829/2003food and beverages10504 agricultural and veterinary sciencesbiology.organism_classification040401 food scienceBiotechnologySettore AGR/02 - Agronomia E Coltivazioni ErbaceeSettore AGR/11 - Entomologia Generale E ApplicataScientific OpinionMON 87751insect resistantAnimal Science and ZoologyParasitologybusinesssoybean (Glycine max)010606 plant biology & botanyFood ScienceRegulation (EC) No 1829/2003EFSA Journal
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