Search results for "phenotyping platform"

showing 5 items of 5 documents

Phenotyping plant root and their interaction with soil micro-organisms

2014

International audience

High Throughput Plant Phenotyping Platform (PPHD)[SDV] Life Sciences [q-bio][SDE] Environmental Sciencesplant microorganism relationshipsnodulated root imaging;[SDV]Life Sciences [q-bio][SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal BiologyComputingMilieux_MISCELLANEOUS
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Nodulated root imaging within the high throughput plant phenotyping platform (PPHD, INRA, Dijon)

2014

Présentation orale/ Communication avec actes

[SDE] Environmental Sciences[ SDV ] Life Sciences [q-bio][SPI] Engineering Sciences [physics][SDV]Life Sciences [q-bio][SDV] Life Sciences [q-bio]High Throughput Plant Phenotyping Platform (PPHD)[SPI]Engineering Sciences [physics]stomatognathic diseasesnodulated root imaging[SDE]Environmental Sciences[ SPI ] Engineering Sciences [physics][SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal BiologyComputingMilieux_MISCELLANEOUS
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Phenotyping: Case study of legumes plants

2012

International audience; The activities of the GEAPSI group, belonging to the large research unit Agroecology, is devoted to the genetic improvement of legumes important for European agriculture, and focuses on the cultivated species pea (Pisum sativum) and the field bean (Vicia faba). These studies are supported by basic research on a model legume, Medicago truncatula, used for taking advantage of the extensive genomics information available. Some examples will first illustrate how the combination of analytical, non-destructive phenotypical measurements and modelling can improve our understanding of plant functioning, taking as case studies legumes plants. The presentation will then describ…

[SDV] Life Sciences [q-bio][SDE] Environmental Sciencesimage analysisPlant Phenotyping Platform[SDV]Life Sciences [q-bio][SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologyabiotic contraintsbiotic contraintsplant adaptation
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Does the memory of a first water deficit enable a more efficient response to a subsequent water deficit?

2021

National audience; In the current context of climate change, periods of water deficit occur more frequentlyalong the crop cycle, leading to high yield losses. To limit the negative impact of recurrentwater deficits, plants can adapt, via the mobilization of “stress memory”, allowing them torespond to a subsequent stress in a faster and/or more intensive manner. After a first stressevent, plants can keep an imprint of this stress via the induction of epigenetic (e.g. memorygene regulation), physiological (e.g. stomatal closure) and molecular (e.g. compoundaccumulation) changes. When maintained between two stress periods, these changes mayprepare plants for a subsequent water deficit.This wor…

[SDV] Life Sciences [q-bio][SDE] Environmental Scienceswateragroécologie[SDE]Environmental Sciences4PMIphenotyping platformComputingMilieux_MISCELLANEOUS
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A genetic and molecular approach to identify transcription factors controlling maize root adaptive response to water deficit

2022

Water stress is recognized as the most severe abiotic stress for agricultural productivity. Root traits play a key role in tolerance to water stress but have largely been neglected in selection schemes. In order to identify the maize genetic bases of the root adaptive responses to water deficit (WD), we used a MAGIC mapping population of 400 lines based on the intercrossing of 16 genotypes. The fine phenotyping of the different genotypes was performed under contrasting water supply on the French root phenotyping platform (4PMI). On the 16 founder genotypes, in addition of phenotyping, we sampled different root tissues daily over 7 days after irrigation arrest and performed RNAseq. On the ba…

[SDV] Life Sciences [q-bio]wateragroécologie[SDV.BV] Life Sciences [q-bio]/Vegetal Biology4PMIphenotyping platform
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