Publications of Benjamin Dumont
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See detail1. Implantation de la culture
Blanchard, Remy ULiege; Meza, Rodrigo; Jacquemin, Guillaume et al

in Bodson, Bernard; De Proft, Michel; Watillon, Bernard (Eds.) Livre Blanc Céréales (2020, September 10)

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See detail2. Variétés - 2. Froment d'hiver
Meza, Rodrigo; Eylenbosch, Damien; Heens, Benoît et al

in Bodson, Bernard; De Proft, Michel; Watillon, Bernard (Eds.) Livre Blanc Céréales (2020, September 10)

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See detailLearning Interdisciplinarity and Systems Approaches in Agroecology: Experience with the Serious Game SEGAE
De Graeuwe D'Aoust, Mireille ULiege; Jouan, Julia; Carof, Matthieu et al

in Sustainability (2020), 12(11), 4351

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See detail7. Orges brassicoles
Meurs, Rémi; Stalport, Anouk; Carbonelle, G. et al

in Bodson, Bernard; De Proft, Michel; Watillon, Bernard (Eds.) Livre Blanc Céréales (2020, February 19)

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See detail3. La fertilisation azotée
Blanchard, Remy ULiege; Meurs, Rémi; Vandenberghe, Christophe ULiege et al

in Bodson, Bernard; De Proft, Michel; Watillon, Bernard (Eds.) Livre Blanc Céréales (2020, February 19)

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See detailImaging Wheat Canopy Through Stereo Vision: Overcoming the Challenges of the Laboratory to Field Transition for Morphological Features Extraction
Dandrifosse, Sébastien ULiege; Bouvry, Arnaud ULiege; Leemans, Vincent ULiege et al

in Frontiers in Plant Science (2020)

Stereo vision is a 3D imaging method that allows quick measurement of plant architecture. Historically, the method has mainly been developed in controlled conditions. This study identified several ... [more ▼]

Stereo vision is a 3D imaging method that allows quick measurement of plant architecture. Historically, the method has mainly been developed in controlled conditions. This study identified several challenges to adapt the method to natural field conditions and propose solutions. The plant traits studied were leaf area, mean leaf angle, leaf angle distribution, and canopy height. The experiment took place in a winter wheat, Triticum aestivum L., field dedicated to fertilization trials at Gembloux (Belgium). Images were acquired thanks to two nadir cameras. A machine learning algorithm using RGB and HSV color spaces is proposed to perform soil-plant segmentation robust to light conditions. The matching between images of the two cameras and the leaf area computation was improved if the number of pixels in the image of a scene was binned from 2560 × 2048 to 1280 × 1024 pixels, for a distance of 1 m between the cameras and the canopy. Height descriptors such as median or 95th percentile of plant heights were useful to precisely compare the development of different canopies. Mean spike top height was measured with an accuracy of 97.1 %. The measurement of leaf area was affected by overlaps between leaves so that a calibration curve was necessary. The leaf area estimation presented a root mean square error (RMSE) of 0.37. The impact of wind on the variability of leaf area measurement was inferior to 3% except at the stem elongation stage. Mean leaf angles ranging from 53° to 62° were computed for the whole growing season. For each acquisition date during the vegetative stages, the variability of mean angle measurement was inferior to 1.5% which underpins that the method is precise. [less ▲]

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See detailEtude de l’impact de la fertilisation azotée et de la fauche à l’automne sur les différentes productions d’une culture céréalière pérenne (Th. intermedium).
Fagnant, Laura ULiege; Duchêne, Olivier; Bindelle, Jérôme ULiege et al

Poster (2020, January 29)

Th. intermedium could, in the future, be used in European crop rotations. As a perennial cereal crop, the species provides over many years grains, forage and various ecosystem services. Since the species ... [more ▼]

Th. intermedium could, in the future, be used in European crop rotations. As a perennial cereal crop, the species provides over many years grains, forage and various ecosystem services. Since the species has never been studied in Belgium, the evaluation of its diverse performances and their optimization seem essential. Thus, the yields and their components were evaluated according to two agronomic levers (nitrogen fertilization and mowing). This has shown that the nitrogen fertilization of 100 Kg N/ha at tillering is particularly useful in the year of establishment, increasing grain and total dry matter yields at harvest from 0,8 to 1,5T/ha and from 4,3 to 10,6T/ha respectively. In the second year, it was the autumn mowing that had an overall positive effect on production by allowing the valorization of good quality fodder. Future researches will make it possible to refine agronomic knowledge on the crop and to establish a technical itinerary adapted to the multiple services of the species. [less ▲]

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See detailAn outlook on wheat health in Europe from a network of field experiments
Willocquet, L.; Meza, W. R.; Dumont, Benjamin ULiege et al

in Crop Protection (2020), in press

Wheat disease management in Europe is mainly based on the use of fungicides and the cultivation of resistant cultivars. Improving disease management implies the formal comparison of disease management ... [more ▼]

Wheat disease management in Europe is mainly based on the use of fungicides and the cultivation of resistant cultivars. Improving disease management implies the formal comparison of disease management methods in terms of both crop health and yield levels (attainable yield, actual yield), thus enabling an assessment of yield losses and yield gains. Such an assessment is not available for wheat in Europe. The objective of the analysis reported here is to provide an overview of wheat health and yield performance in field experiments in Europe. Data from field experiments in six European countries (Belgium, France, Germany, Italy, Norway, and Sweden) conducted between 2013 and 2017 were analysed to that aim. Relationships between multiple disease levels, yield, level of cultivar resistance, level of fungicide protection, and weather patterns were assessed. The analyses included 73 field experiments, corresponding to a total of 447 [fungicide protection level x cultivar] combinations. Analyses across the six countries led to ranking the importance of foliar wheat diseases as follows, in decreasing order: leaf blotch (septoria tritici blotch, septoria nodorum blotch, and tan spot), leaf rust, yellow rust, and powdery mildew. Fusarium head blight was observed in France and Italy, and stem rust was sporadically observed in Italy. Disease patterns, crop inputs (fertiliser, fungicides), and yields widely varied within and across countries. Disease levels were affected by the level of fungicide use, by cultivar resistance, as well as by weather patterns. While this analysis enables a better documentation of the status of wheat health in Europe, it also highlights the critical need for policies in Europe enabling a more judicious use of pesticides. First, common standards for field experiments are needed (experimental designs and protocols; disease assessment procedures and scales; references, including reference-susceptible cultivars); second, assessments in farmers' fields – and not in research stations – are necessary; and third, there is a need to use available process-based crop models to estimate attainable yields, and so, yield losses. [less ▲]

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See detail1. Implantation des cultures
Blanchard, Remy ULiege; Meza, Rodrigo; Jacquemin, Guillaume et al

Book published by Gembloux Agro-Bio Tech (2019)

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See detailCereal morphology through proximal stereovision
Dandrifosse, Sébastien ULiege; Bouvry, Arnaud ULiege; Leemans, Vincent ULiege et al

Conference (2019, July 10)

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See detailEstimation of ear density in winter wheat crop by stereoscopic imaging for crop yield prediction
Bouvry, Arnaud ULiege; Dandrifosse, Sébastien ULiege; Dumont, Benjamin ULiege et al

Poster (2019, July)

Presentation exploring the added value of 3D information in winter wheat ear detection compared to RGB image based methods. Image acquisition procedure is presented and a processing pipeline is proposed ... [more ▼]

Presentation exploring the added value of 3D information in winter wheat ear detection compared to RGB image based methods. Image acquisition procedure is presented and a processing pipeline is proposed. The poster focuses on potential of the methods and future improvements. [less ▲]

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See detail9. La culture en association de froment et de pois protéagineux d'hiver: une possibilité de diversification attrayante et durable pour nos rotations
Pierreux, Jérome ULiege; Delaplace, Pierre ULiege; Bodson, Bernard ULiege et al

in Bodson, Bernard; De Proft, Michel; Watillon, Bernard (Eds.) Livre Blanc Céréales (2019, February 27)

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See detail7. Orges brassicoles
Meurs, Rémy ULiege; Mahieu, Olivier; Dumont, Benjamin ULiege

in Bodson, Bernard; De Proft, Michel; Watillon, Bernard (Eds.) Livre Blanc Céréales (2019, February 27)

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See detail3. La fertilisation azotée
Blanchard, Remy ULiege; Meurs, Rémy ULiege; Vandenberghe, Christophe ULiege et al

in Bodson, Bernard; De Proft, Michel; Watillon, Bernard (Eds.) Livre Blanc Céréales (2019, February 27)

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See detailN2O flux short-term response to temperature and topsoil disturbance in a fertilized crop: An eddy covariance campaign
Lognoul, Margaux ULiege; Debacq, Alain ULiege; De Ligne, Anne ULiege et al

in Agricultural and Forest Meteorology (2019), 271

Using the eddy covariance technique, half-hourly N 2 O fluxes were measured over a sugar beet crop (ICOS Station, Lonzée, BE) from fertilization to harvest. Several parameters of the data quality control ... [more ▼]

Using the eddy covariance technique, half-hourly N 2 O fluxes were measured over a sugar beet crop (ICOS Station, Lonzée, BE) from fertilization to harvest. Several parameters of the data quality control tests were adapted to suit the characteristics of N 2 O. No u* filtering threshold could be seen for N 2 O fluxes; therefore, it was determined based on CO 2 data. The uncertainty of N 2 O fluxes was assessed for several aspects of data treatment (total random uncertainty, spectral correction, u* filtering, gap-filling), which were combined to determine the uncertainty of the N 2 O budget. Between fertilization and harvest, the crop emitted 1.83 (± 0.21) kg N 2 O-N ha −1 corresponding to 1.2% of N supplies. Flux variability was characterized by three episodes of high emissions across the experiment, interspersed with lower background fluxes. These peak events were driven by soil moisture and temperature, dependent on the time-scale. Soil water content at 5 cm was identified as the single trigger for N 2 O emission peaks given sufficient N availability, while intraday oscillations were positively correlated to the variations in surface temperature rather than deeper soil temperatures. For the first time, an inhibiting and short-term effect of topsoil disturbance (seed-bed preparation) on N 2 O fluxes was recorded, which interrupted the peak that followed fertilization, and delayed the start of the next high emission episode. This observation, along with the synchronicity found between surface temperature and diel oscillations of N 2 O fluxes, supports the hypothesis of a N 2 O-producing microbial community located in the topmost soil layer. Given that a third of the overall N 2 O emissions during the measurement campaign occurred between fertilization and seed-bed preparation, further investigation into the timing of farming operations as mitigation strategies is needed. The contribution of N 2 O emissions to the net greenhouse gas balance (which comprises CO 2 and N 2 O fluxes) was estimated at between 20 and 66%. Our results stress the importance of including nitrous oxide when measuring gas exchanges in fertilized crops, and to do so at high temporal resolution for improved estimates. © 2019 Elsevier B.V. [less ▲]

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See detailSimulation of maize evapotranspiration: An inter-comparison among 29 maize models
Kimball, B. A.; Boote, K. J.; Hatfield, J. L. et al

in Agricultural and Forest Meteorology (2019), 271

Crop yield can be affected by crop water use and vice versa, so when trying to simulate one or the other, it can be important that both are simulated well. In a prior inter-comparison among maize growth ... [more ▼]

Crop yield can be affected by crop water use and vice versa, so when trying to simulate one or the other, it can be important that both are simulated well. In a prior inter-comparison among maize growth models, evapotranspiration (ET) predictions varied widely, but no observations of actual ET were available for comparison. Therefore, this follow-up study was initiated under the umbrella of AgMIP (Agricultural Model Inter-Comparison and Improvement Project). Observations of daily ET using the eddy covariance technique from an 8-year-long (2006–2013) experiment conducted at Ames, IA were used as the standard for comparison among models. Simulation results from 29 models are reported herein. In the first “blind” phase for which only weather, soils, phenology, and management information were provided to the modelers, estimates of seasonal ET varied from about 200 to about 700 mm. Subsequent three phases provided (1) leaf area indices for all years, (2) all daily ET and agronomic data for a typical year (2011), and (3) all data for all years, thus allowing the modelers to progressively calibrate their models as more information was provided, but the range among ET estimates still varied by a factor of two or more. Much of the variability among the models was due to differing estimates of potential evapotranspiration, which suggests an avenue for substantial model improvement. Nevertheless, the ensemble median values were generally close to the observations, and the medians were best (had the lowest mean squared deviations from observations, MSD) for several ET categories for inter-comparison, but not all. Further, the medians were best when considering both ET and agronomic parameters together. The best six models with the lowest MSDs were identified for several ET and agronomic categories, and they proved to vary widely in complexity in spite of having similar prediction accuracies. At the same time, other models with apparently similar approaches were not as accurate. The models that are widely used tended to perform better, leading us speculate that a larger number of users testing these models over a wider range of conditions likely has led to improvement. User experience and skill at calibration and dealing with missing input data likely were also a factor in determining the accuracy of model predictions. In several cases different versions of a model within the same family of models were run, and these within-family inter-comparisons identified particular approaches that were better while other factors were held constant. Thus, improvement is needed in many of the models with regard to their ability to simulate ET over a wide range of conditions, and several aspects for progress have been identified, especially in their simulation of potential ET. © 2019 [less ▲]

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