Auteurs, date et publication :
Auteurs Roucaute M. , Arnaud Auber , Lagadic L. , Thierry Caquet
Date : 2012
Catégorie(s)
#INRAE #PEARLAuteurs, date et publication :
Auteurs Valentin Vasselon , Isabelle Domaizon , Frédéric Rimet , Maria Kahlert , Agnès Bouchez
Publication : Freshwater Science
Date : 2025
Volume : 36
Issue : 1
Pages : 162-177
Catégorie(s)
#INRAE #OLAAuteurs, date et publication :
Auteurs P. H. Müller Silva , Poggiani F , J. P. Laclau
Publication : Applied and Environmental Soil Science
Date : 2025
Volume : 710614
Pages : 11 pages
Catégorie(s)
#CIRAD #FORET Itatinga #INRAEAuteurs, date et publication :
Auteurs Marie-Agnes Coutellec , Marc Collinet , Thierry Caquet
Date : 2011
Catégorie(s)
#INRAE #PEARLAuteurs, date et publication :
Auteurs L. Greiveldinger , J. Clobert , s. Aubert , D. Azam , J. Chave , O. Guillaume , G. Lacroix , J-F. Le Galliard , B. Montuelle , J. Roy , A. Chanzy
Date : 2025
Catégorie(s)
#INRAE #PEARLRésumé
Anaerobic conditions mobilize phosphorus (P) in soils and sediments. The role of anaerobic microsites in welldrained soil on P migration is unknown. This study aimed to identify mechanisms that control field-scale vertical P mobility as affected by organic fertilizers that may trigger variable redox conditions. Soils were sampled at different depths in a well-drained Luvisol after 19 years of application of organic fertilizers. The concentrations of P and manganese (Mn) in 0.45-μm-filtered extracts (10−3 M CaCl2) of field-moist soil samples were strongly correlated (r = + 0.95), and both peaked in and below the compacted plough pan, suggesting that reductive processes mobilize P. Waterlogged soil incubations confirmed that anaerobic respiration comobilizes Mn and P and that this leads to the release of colloidal P and iron (Fe). The long-term applications of farmyard manure and immature compost enhanced the concentrations of Mn, Fe, and aluminum (Al) in the soil solution of subsurface samples, whereas less such effect was found under the application of more stable organic fertilizers. Farmyard manure application significantly enhanced soil P stocks below the plough layer despite a small P input. Overall, multiple lines of evidence confirm that anaerobic respiration, sparked by labile organic matter, mobilizes P in this seemingly well-drained soil.
Auteurs, date et publication :
Auteurs Ruben Warrinnier , Sara Bossuyt , Camille Resseguier , Philippe Cambier , Sabine Houot , Jon Petter Gustafsson , Jan Diels , Erik Smolders
Publication : Environmental Science & Technology
Date : 2020
Volume : 54
Issue : 8
Pages : 4922-4931
Catégorie(s)
#INRAE #PRO #PRO QualiAgroAuteurs, date et publication :
Auteurs Yannick Bayona , Marc Roucaute , Kevin Cailleaud , Anne Bassères , Laurent Lagadic , Thierry Caquet
Date : 2011
Catégorie(s)
#INRAE #PEARLAuteurs, date et publication :
Auteurs Eduard Szöcs , Paul J. Van den Brink , Laurent Lagadic , Thierry Caquet , Marc Roucaute , Arnaud Auber , Yannick Bayona , Matthias Liess , Peter Ebke , Alessio Ippolito , Cajo J. F. ter Braak , Theo C. M. Brock , Ralf B. Schäfer
Publication : Ecotoxicology
Date : 2015
Volume : 24
Issue : 4
Pages : 760-769
Catégorie(s)
#INRAE #PEARLAuteurs, date et publication :
Auteurs Chloé Ollivier , Albert Olioso , Simon Damien Carrière , Gilles Boulet , Konstantinos Chalikakis , André Chanzy , Jean-Baptiste Charlier , David Combemale , Hendrik Davi , Christophe Emblanch , Olivier Marloie , Nicolas Martin-StPaul , Naomi Mazzilli , Guillaume Simioni , Marie Weiss
Publication : Science of The Total Environment
Date : 2025
Volume : 781
Pages : 146706
Catégorie(s)
#FORET FontBlanche #INRAERésumé
Estimating aboveground biomass is important for monitoring crop growth in agronomic field experiments. Often this estimation is done manually, destructively (mowing) or not (counting) on a relatively limited number of sub-plots within an experiment. In the presence of spatial heterogeneity in experiment fields, sensors developed for precision agriculture, have shown great potential to automate this estimation efficiently and provide a spatially continuous measurement over an entire plot. This study investigated the suitability of using an unmanned aerial vehicle (UAV) for biomass and yield estimations in an agronomic field experiment. The main objectives of this work were to compare the estimates made from manual field sampling with those made from UAV data and finally to calculate the improvement that can be expected from the use of UAVs. A 6-ha maize field was studied, with plot treatments for the study of the exogenous organic matter (EOM) amendment effect on crop development. 3D surface models were created from high resolution UAV RGB imagery, before crop emergence and during crop development. The difference between both surface models resulted in crop height which was evaluated against 38 reference points with an R2 of 0.9 and prediction error of 0.16 m. Regression models were used to predict above-ground biomass and grain yield (fresh or dry). Dried grain yield prediction with a generalized additive model gave an error of 0.8 t ha−1 calculated on 100 in-field validation measurements, corresponding to a relative error of 14.77%. UAV-based yield estimates from dry biomass were 15% more accurate than manual yield estimation.
Auteurs, date et publication :
Auteurs J. M. Gilliot , J. Michelin , D. Hadjard , S. Houot
Publication : Precision Agriculture
Date : 2021
Volume : 22
Issue : 3
Pages : 897-921