Zobrazeno 1 - 10
of 26
pro vyhledávání: '"José A. Jiménez-Berni"'
Autor:
Uwe Rascher, Frédéric Baret, Helge Aasen, Sven Fahrner, Roland Pieruschka, Katja Berger, Miriam Machwitz, Martin Schlerf, José A. Jiménez-Berni
Publikováno v:
Frontiers in Plant Science, 12
Digital.CSIC. Repositorio Institucional del CSIC
instname
Frontiers in Plant Science
Frontiers in Plant Science, Vol 12 (2021)
Frontiers in plant science 12, 749374 (2021). doi:10.3389/fpls.2021.749374
Digital.CSIC. Repositorio Institucional del CSIC
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Frontiers in Plant Science
Frontiers in Plant Science, Vol 12 (2021)
Frontiers in plant science 12, 749374 (2021). doi:10.3389/fpls.2021.749374
This article is based upon work from COST Action CA17134 Optical synergies for spatiotemporal SENsing of Scalable ECOphysiological traits (SENSECO), supported by COST. It was supported by European Plant Phenotyping Network (EPPN2020: Grant Agreement
Publikováno v:
Plant Science. 282:40-48
Improved genetic, genomic and statistical technologies have increased the capacity to enrich breeding populations for key alleles underpinning adaptation and continued genetic gain. In turn, directed genomic selection together with increased heritabi
Autor:
David Smith, Greg J. Rebetzke, Richard A. James, Robert J. Davy, José A. Jiménez-Berni, David M. Deery
Publikováno v:
Plant Phenomics, Vol 2021 (2021)
Plant Phenomics
Digital.CSIC. Repositorio Institucional del CSIC
instname
Plant Phenomics
Digital.CSIC. Repositorio Institucional del CSIC
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Canopy ground cover (GC) is an important agronomic measure for evaluating crop establishment and early growth. This study evaluates the reliability of GC estimates, in the presence of varying light and dew on leaves, from three different ground-based
Publikováno v:
Plant Methods
Plant Methods, Vol 16, Iss 1, Pp 1-17 (2020)
Digital.CSIC. Repositorio Institucional del CSIC
instname
Plant Methods, Vol 16, Iss 1, Pp 1-17 (2020)
Digital.CSIC. Repositorio Institucional del CSIC
instname
© The Author(s) 2020.
[Background]: Earth Observation ‘EO’ remote sensing technology development enables original insights into vegetation function and health at ever finer temporal, spectral and spatial resolution. Research sites equipped
[Background]: Earth Observation ‘EO’ remote sensing technology development enables original insights into vegetation function and health at ever finer temporal, spectral and spatial resolution. Research sites equipped
Autor:
William D. Bovill, José A. Jiménez-Berni, Greg J. Rebetzke, David M. Deery, David Smith, Kathryn M. Bechaz, Anthony G. Condon
Publikováno v:
Plant Phenomics, Vol 2020 (2020)
Plant Phenomics
Plant Phenomics
Highly repeatable, nondestructive, and high-throughput measures of above-ground biomass (AGB) and crop growth rate (CGR) are important for wheat improvement programs. This study evaluates the repeatability of destructive AGB and CGR measurements in c
Publikováno v:
Phytopathology®. 107:6-17
Plant phenomics approaches aim to measure traits such as growth, performance, and composition of plants using a suite of noninvasive technologies. The goal is to link phenotypic traits to the genetic information for particular genotypes, thus creatin
Autor:
Robert T. Furbank, Barbara George-Jaeggli, José A. Jiménez-Berni, Andries Potgieter, David M. Deery
Plant phenotyping forms the core of crop breeding, allowing breeders to build on physiological traits and mechanistic science to inform their selection of material for crossing and genetic gain. Recent rapid progress in high‐throughput techniques b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::096712c0e7cfacd5152cf0d47b81662c
http://hdl.handle.net/10261/207755
http://hdl.handle.net/10261/207755
Autor:
Thomas Roitsch, Eric S. Ober, Antoine Fournier, Llorenç Cabrera-Bosquet, José A. Jiménez-Berni, Kioumars Ghamkhar, Francisco de Assis de Carvalho Pinto
Publikováno v:
Roitsch, T, Cabrera-Bosquet, L, Fournier, A, Ghamkhar, K, Jiménez-Berni, J, Pinto, F & Ober, E S 2019, ' Review : New sensors and data-driven approaches—A path to next generation phenomics ', Plant Science, vol. 282, pp. 2-10 . https://doi.org/10.1016/j.plantsci.2019.01.011
Plant Science (282), 2-10. (2019)
Plant Science
Plant Science, Elsevier, 2019, 282, pp.2-10. ⟨10.1016/j.plantsci.2019.01.011⟩
Digital.CSIC. Repositorio Institucional del CSIC
instname
Plant Science (282), 2-10. (2019)
Plant Science
Plant Science, Elsevier, 2019, 282, pp.2-10. ⟨10.1016/j.plantsci.2019.01.011⟩
Digital.CSIC. Repositorio Institucional del CSIC
instname
At the 4th International Plant Phenotyping Symposium meeting of the International Plant Phenotyping Network (IPPN) in 2016 at CIMMYT in Mexico, a workshop was convened to consider ways forward with sensors for phenotyping. The increasing number of fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1cd926729e1050a751eae059bbf152f7
https://curis.ku.dk/portal/da/publications/review(3f12a41d-87f7-4ca6-88de-3848e3b3cbbd).html
https://curis.ku.dk/portal/da/publications/review(3f12a41d-87f7-4ca6-88de-3848e3b3cbbd).html
Publikováno v:
Journal of Experimental Botany
Improved genotypic performance in water-limited environments relies on traits, like ‘stay-green’, that are robust and repeatable, correlate well across a broader range of target environments and are genetically more tractable than assessment of y
Autor:
Michael Salim, Rob R. Walker, José A. Jiménez-Berni, Everard J. Edwards, Matthew H. Siebers, Mark R. Thomas
Publikováno v:
Sensors
Volume 18
Issue 9
Sensors (Basel, Switzerland)
Sensors, Vol 18, Iss 9, p 2924 (2018)
Digital.CSIC. Repositorio Institucional del CSIC
instname
Volume 18
Issue 9
Sensors (Basel, Switzerland)
Sensors, Vol 18, Iss 9, p 2924 (2018)
Digital.CSIC. Repositorio Institucional del CSIC
instname
This paper introduces GRover (the grapevine rover), an adaptable mobile platform for the deployment and testing of proximal imaging sensors in vineyards for the non-destructive assessment of trunk and cordon volume and pruning weight. A SICK LMS-400