0000000000065212

AUTHOR

Frank Forcella

showing 4 related works from this author

The role of light in the emergence of weeds: using Camelina microcarpa as an example

2015

When modelling the emergence of weeds, two main factors are considered that condition this process: temperature and soil moisture. Optimum temperature is necessary for metabolic processes that generate energy for growth, while turgor pressure is necessary for root and shoot elongation which eventually leads to seedling emergence from the soil. Most emergence models do not usually consider light as a residual factor, but it could have an important role as it can alter directly or indirectly the dormancy and germination of seeds. In this paper, inclusion of light as an additional factor to photoperiod and radiation in emergence models is explored and compared with the classical hydrothermal t…

photoperiodismMultidisciplinarybiologyRainTurgor pressurelcsh:RTemperaturelcsh:MedicineGerminationbiology.organism_classificationModels BiologicalCamelina microcarpaAgronomySeedlingGerminationShootBotanyBrassicaceaeSunlightDormancylcsh:Qlcsh:ScienceWater contentWeatherResearch Article
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Evaluating field-scale sampling methods for the estimation of mean plant densities of weeds

2000

The weed flora (comprising seven species) of a field continuously grown with soyabean was simulated for 4 years, using semivariograms established from previous field observations. Various sampling methods were applied and compared for accurately estimating mean plant densities, for differing weed species and years. The tested methods were based on (a) random selection wherein samples were chosen either entirely randomly, randomly with at least 10 or 20 m between samples, or randomly after stratifying the field; (b) systematic selection where samples were placed along diagonals or along zig-zagged lines across the field; (c) predicted Setaria viridis (L.) P. Beaux seedling maps which were us…

0106 biological sciencesbiologyEcologySetaria viridisField experimentSampling (statistics)Sample (statistics)04 agricultural and veterinary sciencesPlant Sciencebiology.organism_classification01 natural sciencesKrigingStatistics040103 agronomy & agriculture0401 agriculture forestry and fisheries[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal BiologyWeedVariogramAgronomy and Crop ScienceEcology Evolution Behavior and SystematicsSelection (genetic algorithm)ComputingMilieux_MISCELLANEOUS010606 plant biology & botanyMathematics
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Germination and emergence of Neslia paniculata (L.) Desv.

2019

Abstract Seed characteristics, either in size or in structure, can affect germination, hence the emergence of a plant species. In the present work germination and emergence of Neslia paniculata, a Brassicaceae species that produces fruits containing one seed covered by a hard fruit coat, was studied. Germination experiments of seed with and without the fruit coat were performed at constant temperatures from 5 to 23 °C under controlled conditions and germination was measured daily. Additionally, seeds were sown in the field and emergence was periodically followed in three sites: Almenar (Spain), Morris (USA) and Riga (Latvia). Both germination and emergence were modelled with Boltzmann and W…

0106 biological sciencesbiology010405 organic chemistrySeed dormancyfood and beveragesBrassicaceaebiology.organism_classification01 natural sciencesNeslia paniculata0104 chemical sciencesCamelina microcarpaHorticultureGerminationRadicleDormancyAgronomy and Crop ScienceThlaspi arvense010606 plant biology & botanyIndustrial Crops and Products
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Spatial and temporal stability of weed populations over five years

2000

Abstract The size, location, and variation in time of weed patches within an arable field were analyzed with the ultimate goal of simplifying weed mapping. Annual and perennial weeds were sampled yearly from 1993 to 1997 at 410 permanent grid points in a 1.3-ha no-till field sown to row crops each year. Geostatistical techniques were used to examine the data as follows: (1) spatial structure within years; (2) relationships of spatial structure to literature-derived population parameters, such as seed production and seed longevity; and (3) stability of weed patches across years. Within years, densities were more variable across crop rows and patches were elongated along rows. Aggregation of …

2. Zero hunger[SDE] Environmental Scienceseducation.field_of_studyPerennial plantPREDICTIONSeed dispersal[SDV]Life Sciences [q-bio]PopulationPlant ScienceGeostatistics15. Life on landBiologyCrop[SDV] Life Sciences [q-bio]Agronomy[SDE]Environmental SciencesArable landVariogramWeededucationAgronomy and Crop ScienceComputingMilieux_MISCELLANEOUS
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