Search

Your search keyword '"phénotypage"' showing total 2 results
Start Over Descriptor "phénotypage" Publisher springer science and business media llc
2 results on '"phénotypage"'

1. Field phenotyping of water stress at tree scale by UAV-sensed imagery: new insights for thermal acquisition and calibration

Author

David Gómez-Candón, Sylvain Labbé, Audrey Jolivot, Nicolas Virlet, Jean-Luc Regnard, Amélioration génétique et adaptation des plantes méditerranéennes et tropicales (UMR AGAP), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro), Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS), Agropolis Fondation (projet HiRI-FAP ID 1202-070), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Architecture et Fonctionnement des Espèces Fruitières [AGAP] (AFEF), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut National de la Recherche Agronomique (INRA)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Centre National de la Recherche Scientifique (CNRS), and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)

Subjects
0106 biological sciences, 010504 meteorology & atmospheric sciences, Multispectral image, Phénotype, radiometry, Canopy temperature, 01 natural sciences, Imagerie multispectrale, water stress, Data acquisition, phénotypage, Radiometric calibration, apple tree, Thermal infrared, [SDV.BDD]Life Sciences [q-bio]/Development Biology, radiométrie, precision agriculture, agriculture de précision, mesure thermique, Plantation forestière, Houppier, Tree (data structure), Malus, Arbre fruitier, General Agricultural and Biological Sciences, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Ortho-mosaics, Stress dû à la sécheresse, Télédétection, F60 - Physiologie et biochimie végétale, pommier, Apple tree, drone, télémétrie, Rayonnement thermique, Calibration, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, 0105 earth and related environmental sciences, Remote sensing, Unmanned aerial vehicle, Température, K10 - Production forestière, donnée multispectrale, Environmental science, Radiometry, stress hydrique, indicateur de sécheresse, Precision agriculture, U30 - Méthodes de recherche, 010606 plant biology & botany
Abstract

UMR AGAP - équipe AFEF - Architecture et fonctionnement des espèces fruitières; Numerous agronomical applications of remote sensing have been proposed in recent years, including water stress assessment at field by thermal imagery. The miniaturization of thermal cameras allows carrying them onboard the unmanned aerial vehicles (UAVs), but these systems have no temperature control and, consequently, drifts during data acquisition have to be carefully corrected. This manuscript presents a comprehensive methodology for radiometric correction of UAV remotely-sensed thermal images to obtain (combined with visible and near-infrared data) multispectral ortho-mosaics, as a previous step for further image-based assessment of tree response to water stress. On summer 2013, UAV flights were performed over an apple tree orchard located in Southern France, and 4 dates and 5 h of the day were tested. The 6400 m(2) field plot comprised 520 apple trees, half well-irrigated and half submitted to progressive summer water stress. Temperatures of four different on-ground stable reference targets were continuously measured by thermo-radiometers for radiometric calibration purposes. By using self-developed software, frames were automatically extracted from the thermal video files, and then radiometrically calibrated using the thermal targets data. Once ortho-mosaics were obtained, root mean squared error (RMSE) was calculated. The accuracy obtained allowed multi-temporal mosaic comparison. Results showed a good relationship between calibrated images and on-ground data. Significantly higher canopy temperatures were found in water-stressed trees compared to well-irrigated ones. As high resolution field ortho-mosaics were obtained, comparison between trees opens the possibility of using multispectral data as phenotypic variables for the characterization of individual plant response to drought.

Published
2016
Full Text
View/download PDF

2. A DNA-based method for studying root responses to drought in field-grown wheat genotypes

Author

Haydn Kuchel, Peter Langridge, Boris Parent, Herdina, Diana M. Hartley, James R. Edwards, Sharla Hall, Chun Y. Huang, Alan C. McKay, Paul Eckermann, Australian Center for Plant Functional Genomics (ACPFG), Australian Grain Technologies, University of Adelaide, South Australian Research and Development Institute, Ecosystem sciences, Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), and European Project: 244374,EC:FP7:KBBE,FP7-KBBE-2009-3,DROPS(2010)

Subjects
Crops, Agricultural, 0106 biological sciences, Root (linguistics), Genotype, méristème apical de la racine, Environment controlled, Root system, Environment, Biology, Plant Roots, 01 natural sciences, Article, DNA sequencing, Soil, 03 medical and health sciences, Nutrient, blé, phénotypage, Botany, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, Biomass, Triticum, sécheresse, 030304 developmental biology, 2. Zero hunger, 0303 health sciences, Biomass (ecology), Vegetal Biology, système racinaire, Multidisciplinary, Soil dna, Water, food and beverages, DNA, 15. Life on land, Adaptation, Physiological, Droughts, Phenotype, Agronomy, stress hydrique, Biologie végétale, 010606 plant biology & botany
Abstract

Root systems are critical for water and nutrient acquisition by crops. Current methods measuring root biomass and length are slow and labour-intensive for studying root responses to environmental stresses in the field. Here, we report the development of a method that measures changes in the root DNA concentration in soil and detects root responses to drought in controlled environment and field trials. To allow comparison of soil DNA concentrations from different wheat genotypes, we also developed a procedure for correcting genotypic differences in the copy number of the target DNA sequence. The new method eliminates the need for separation of roots from soil and permits large-scale phenotyping of root responses to drought or other environmental and disease stresses in the field.

Published
2013
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results