Racine 2.2

Version 2.0
Racine 2.2
Faye, Awa; Chopart, Jean-Louis; Sine, Bassirou; Grondin, Alexandre; Laplaze, Laurent, 2019, "Racine 2.2", https://doi.org/10.23708/CKRDBW, DataSuds, V2, UNF:6:fVTiCa1QVm8CD3Jna7gAdg== [fileUNF]
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Description
RACINE2.2 est une application de traitement de données racinaires fondée sur des comptages, sur le terrain, d’impacts de racine au travers d’une grille placée sur un profil de sol. Cette méthode permet de mesurer les intersections entre un plan représenté par ce profil de sol et les racines. Elle donne accès à la densité des impacts (nombre par unité de surface de sol) et à leur répartition spatiale (gradients, hétérogénéités). Puis, par modélisation, à l’estimation des différentes caractéristiques fonctionnelles du système racinaire : (1) les densités de longueur racinaire (longueur par volume de sol), (2) les distances moyennes entre les racines dans un petit volume de sol (Newman 1966), (3) le PRER (Potential Root Extraction Ratio), ou taux d’exploration racinaire (Leifi et al 2011, Chopart et al 2012), (4) la répartition spatiale du système racinaire (2D) sur une tranche de sol pour analyser les gradients et les hétérogénéités de croissance racinaire (« clumping »). Cette méthodologie permet de procéder dans des champs cultivés en station expérimentale ou chez des agriculteurs à un diagnostic agronomique (effets du sol, du climat, des pratiques culturales) ou à une comparaison de cultivars.
RACINE2.2 is an application developed to process root data obtained using the trench profile method (Bohm, 1976; Chopart, 1999; Azevedo et al. 2011; Faye et al. 2019) in field conditions, measuring and mapping the density of intersections between the roots and a plane (the soil profile). RACINE2.2 then makes it possible to calculate different functional characteristics of the root system namely root length density (RLD), average root distance (ARD) and potential root extraction ratio in soil (PRER) thanks to adapted models included in the application or added by the user. It is finally possible to map the spatial distribution of these root traits. This approach makes it possible to perform agronomic diagnostics (effects of soil, climate, cropping practices) or cultivar comparisons on root system characteristics in experimental stations or in farmers' fields (Chopart 1999, Chopart and Siband 1999; Faye et al. 2019). Taking into account spatial variability of root system in relation with soil characteristics may be very important for root water and nutrient uptake in field conditions. Consequently, this tool can contribute to improved modeling of soil-root and shoot-root interactions.
Subject Agricultural Sciences
Keyword Root, Soil, Field, Agronomy, Calculation
Related Publication Faye, A. et al. (2019) “Development of a model estimating root length density from root impacts on a soil profile in pearl millet (Pennisetum glaucum (L.) R. Br). Application to measure root system response to water stress in field conditions,” PLOS ONE. (:unav), 14(7), p. e0214182-. doi: 10.1371/journal.pone.0214182. doi: 10.1371/journal.pone.0214182
Notes Updates
September 2020. Racine2.2v10 is compatible with Windows 10 and contain upgrades for graph export.
Mises à jour
Septembre 2020. Racine2.2v10 est compatible avec Windows 10 et comporte des procédures d'exportation des graphs améliorées.
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GuideUtilisateur_Racine2.pdf
GuideUtilisateur_Racine2.pdf
RACINE2/Adobe PDF - 1.5 MB
Published Nov 19, 2019
32 Downloads
MD5: e3feb376c0cae1821cd0ad29b6f8ed90
User guide, french version
Documentation
Racine2_2_V10.xlsm
RACINE2/MS Excel Spreadsheet - 5.0 MB
Published Sep 18, 2020
29 Downloads
MD5: 8012ce30b4ca5df89866f219664916cc
Application (runs in MS.Excel)
Code
Sample_Data.tab
RACINE2/Tabular Data - 1.9 KB
Published Nov 19, 2019
23 Downloads
21 Variables, 21 Observations UNF:6:fVTiCa1QVm8CD3Jna7gAdg==
Data sample, example
Data
UserGuide_Racine2.pdf
UserGuide_Racine2.pdf
RACINE2/Adobe PDF - 601.6 KB
Published Nov 19, 2019
44 Downloads
MD5: feb5e2df994f89c01222b2d068884be7
User guide, english version
Documentation
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