Search results for "Saccharum"

showing 5 items of 5 documents

Comparing encapsulation-dehydration and droplet-vitrification for cryopreservation of sugarcane (Saccharum spp.) shoot tips

2011

Abstract In this study, in vitro shoot tips of two sugarcane clones were successfully cryopreserved using encapsulation-dehydration and droplet-vitrification with two vitrification solutions, PVS2 and PVS3. For both clones, encapsulation-dehydration induced significantly higher recovery, reaching 60% for clone H70-144 and 53% for clone CP68-1026, compared with droplet-vitrification in which recovery was 33–37% for clone H70-144 and 20–27% for clone CP68-1026. Optimal conditions included preculture of encapsulated shoot apices for 24 h in liquid medium with 0.75 M sucrose and dehydration with silica gel to 20% moisture content (fresh weight basis) before direct immersion in liquid nitrogen. …

CryopreservationSucrosebiologyChemistrySilica gelSugarcaneHorticultureLiquid nitrogenmedicine.diseasebiology.organism_classificationCryopreservationSaccharumHorticulturechemistry.chemical_compoundDroplet-vitrificationBotanyShootmedicineEncapsulation-dehydrationVitrificationDehydrationScientia Horticulturae
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Effect of sodium borohydride and hydrogen peroxide pretreatments on soda pulping of sugar maple (Acer saccharum)

2021

For recovering value-added wood-based organic material prior to delignification, sodium borohydride (NaBH4) and hydrogen peroxide (H2O2) pretreatments under alkaline conditions were performed before soda pulping of sugar maple (Acer saccharum) chips with sodium hydroxide (NaOH). In this investigation, it was determined whether the pulp yield could be increased by partly stabilizing the hemicelluloses by these pretreatments, and simultaneously obtains lower pulp kappa numbers. The results indicated that when aiming to the same kappa numbers (i.e., kappa numbers 14.3-20.5), roughly 3% higher pulp yield could be achieved if the chips were pretreated with alkaline 0.5% NaBH4 solutions, compared…

General Chemical EngineeringAcer saccharumengineering.material/dk/atira/pure/sustainabledevelopmentgoals/responsible_consumption_and_productionchemistry.chemical_compoundSodium borohydridestomatognathic systemGeneral Materials ScienceSugarHydrogen peroxide/dk/atira/pure/sustainabledevelopmentgoals/industry_innovation_and_infrastructureInnovationSodium borohydrideMapleChemistrySoda cookingGeneral ChemistryPulp and paper industryHydrogen peroxidestomatognathic diseasesSugar mapleSoda pulpingengineeringand InfrastructureSDG 9 - Industry Innovation and InfrastructureSDG 12 - Responsible Consumption and ProductionSDG 9 - IndustryPretreatmentJournal of Wood Chemistry and Technology
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ITS region of the rDNA of Pythium rhizosaccharum sp. nov. isolated from sugarcane roots: taxonomy and comparison with related species.

2003

Pythium rhizosaccharum (F-1244) was isolated from soil samples taken in the rhizosphere of sugarcane (Saccharum officinarum) in the north-eastern India. This species is characterized by its smooth-walled, spherical sporangia and rarely formed sexual structures. When formed, the antheridial branches wrap around the oogonia and soon disappear after fertilization. The internal transcribed spacer (ITS) region of its rDNA is comprised of 904 bases. The taxonomical description of this new species and its comparison with related species are given here, together with the nucleotide sequences of the ITS1 and ITS2, and the 5.8S gene of its ribosomal nuclear DNA.

RhizospherebiologyBase SequenceSporangiumMolecular Sequence DataPythiumRibosomal RNAbiology.organism_classificationMicrobiologyDNA RibosomalPlant RootsSaccharumSaccharum officinarumSequence Homology Nucleic AcidBotanyDNA Ribosomal SpacerGeneticsTaxonomy (biology)PythiumInternal transcribed spacerDNA FungalMolecular BiologyRibosomal DNASoil MicrobiologyFEMS microbiology letters
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Misinterpretation risks of global stochastic optimisation of kinetic models revealed by multiple optimisation runs

2016

Abstract One of use cases for metabolic network optimisation of biotechnologically applied microorganisms is the in silico design of new strains with an improved distribution of metabolic fluxes. Global stochastic optimisation methods (genetic algorithms, evolutionary programing, particle swarm and others) can optimise complicated nonlinear kinetic models and are friendly for unexperienced user: they can return optimisation results with default method settings (population size, number of generations and others) and without adaptation of the model. Drawbacks of these methods (stochastic behaviour, undefined duration of optimisation, possible stagnation and no guaranty of reaching optima) cau…

Statistics and ProbabilitySucroseMathematical optimizationComputer scienceSystems biology0206 medical engineeringMetabolic network02 engineering and technologyModels BiologicalGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesYeastsConvergence (routing)HomeostasisUse caseLimit (mathematics)030304 developmental biologyStochastic Processes0303 health sciencesGeneral Immunology and MicrobiologyApplied MathematicsParticle swarm optimizationGeneral MedicineEnzymesSaccharumConstraint (information theory)Nonlinear systemModeling and SimulationGeneral Agricultural and Biological SciencesMetabolic Networks and Pathways020602 bioinformaticsMathematical Biosciences
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La gestion des betteraves adventices résistantes à un herbicide: une approche par simulation

2007

National audience; Les variétés de betteraves sucrières génétiquement modifiées (GM) résistantes à un herbicide sont, a priori, intéressantes dans des champs fortement infestés par la betterave adventice. Cependant, la montée à fleurs de ces betteraves GM peut entraîner l’apparition d’individus résistants, via la dispersion de pollen. Nous avons développé et utilisé le modèle GENESYS-Betterave pour simuler, à l’échelle d’une petite région agricole, l’impact des pratiques culturales sur la dispersion du transgène. Il permet d'identifier des stratégies pour contrôler les adventices et limiter l'apparition de populations résistantes en zone de production de betterave sucrière. L’utilisation de…

[SDE] Environmental Scienceshttp://aims.fao.org/aos/agrovoc/c_24242http://aims.fao.org/aos/agrovoc/c_28744[SDV]Life Sciences [q-bio]Évaluation du risquehttp://aims.fao.org/aos/agrovoc/c_5728H60 - Mauvaises herbes et désherbageFlux de gènesPollution par l'agriculture[SHS]Humanities and Social SciencesMéthode de luttehttp://aims.fao.org/aos/agrovoc/c_33990http://aims.fao.org/aos/agrovoc/c_34285http://aims.fao.org/aos/agrovoc/c_37331http://aims.fao.org/aos/agrovoc/c_2018Variétéhttp://aims.fao.org/aos/agrovoc/c_3566http://aims.fao.org/aos/agrovoc/c_8157http://aims.fao.org/aos/agrovoc/c_37932Résistance aux pesticidesSaccharum officinarumU10 - Informatique mathématiques et statistiquesExpérimentation au champhttp://aims.fao.org/aos/agrovoc/c_6727Modèle de simulationhttp://aims.fao.org/aos/agrovoc/c_25427[SDV] Life Sciences [q-bio]Pratique culturalehttp://aims.fao.org/aos/agrovoc/c_8347Organisme génétiquement modifié[SDE]Environmental SciencesSystème de culture[SHS] Humanities and Social SciencesHerbicidehttp://aims.fao.org/aos/agrovoc/c_1971P02 - PollutionMauvaise herbe
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