Linear discriminant analysis reveals differences in root architecture in wheat seedlings by nitrogen uptake efficiency
Root architecture impacts water and nutrient uptake efficiency. Identifying exactly which root architectural properties influence these agronomic traits can prove challenging. In this paper approximately 300 wheat plants were divided into four groups using two binary classifications, high vs. low...
| Main Authors: | Kenobi, Kim, Atkinson, Jonathan A., Wells, Darren M., Gaju, Oorbessy, deSilva, Jayalath G., Foulkes, M. John, Dryden, Ian L., Wood, Andrew T.A., Bennett, Malcolm J. |
|---|---|
| Format: | Article |
| Published: |
Oxford University Press
2017
|
| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/44796/ |
Similar Items
Phenotyping pipeline reveals major seedling root growth QTL in hexaploid wheat
by: Atkinson, Jonathan A., et al.
Published: (2015)
by: Atkinson, Jonathan A., et al.
Published: (2015)
Optimising root growth to improve uptake and utilization of water and nitrogen in wheat and barley
by: César de Carvalho, Pedro Miguel
Published: (2009)
by: César de Carvalho, Pedro Miguel
Published: (2009)
Leaf photosynthesis and associations with grain yield, biomass and nitrogen-use efficiency in landraces, synthetic-derived lines and cultivars in wheat
by: Gaju, Oorbessy, et al.
Published: (2016)
by: Gaju, Oorbessy, et al.
Published: (2016)
Root system markup language: toward an unified root architecture description language
by: Lobet, Guillaume, et al.
Published: (2015)
by: Lobet, Guillaume, et al.
Published: (2015)
Variations in root system architecture and root growth dynamics of Brassica rapa genotypes using a new scanner-based phenotyping system
by: Adu, Michael Osei
Published: (2014)
by: Adu, Michael Osei
Published: (2014)
Breeding for increased nitrogen-use efficiency: a review for wheat (T. aestivum L.)
by: Cormier, Fabien, et al.
Published: (2016)
by: Cormier, Fabien, et al.
Published: (2016)
Combining semi-automated image analysis techniques with machine learning algorithms to accelerate large scale genetic studies
by: Atkinson, Jonathan A., et al.
Published: (2017)
by: Atkinson, Jonathan A., et al.
Published: (2017)
A scanner system for high-resolution quantification of
variation in root growth dynamics of Brassica rapa genotypes
by: Adu, Michael Osei, et al.
Published: (2014)
by: Adu, Michael Osei, et al.
Published: (2014)
Understanding water uptake in sugar beet
by: Fitters, Tamara F.J.
Published: (2019)
by: Fitters, Tamara F.J.
Published: (2019)
Accelerating root system phenotyping of seedlings through a computer‑assisted processing pipeline
by: Dupoy, Lionel X., et al.
Published: (2017)
by: Dupoy, Lionel X., et al.
Published: (2017)
Identifying genetic diversity for improved nitrogen-use efficiency and associated physiological traits in wheat (Triticum aestivum L.) and wheat amphidiploids
by: Nehe, Ajit
Published: (2018)
by: Nehe, Ajit
Published: (2018)
Evolving technologies for growing, imaging and analyzing 3D root system architecture of crop plants
by: Piñeros, Miguel A., et al.
Published: (2016)
by: Piñeros, Miguel A., et al.
Published: (2016)
Genetic variation in N-use efficiency and associated traits in Indian wheat cultivars
by: Nehe, A.S., et al.
Published: (2018)
by: Nehe, A.S., et al.
Published: (2018)
The matrix form for weighted linear discriminant analysis and fractional linear discriminant analysis
by: Xu, T., et al.
Published: (2009)
by: Xu, T., et al.
Published: (2009)
On the evaluation of methods for the recovery of plant root systems from X-ray computed tomography images
by: Mairhofer, Stefan, et al.
Published: (2014)
by: Mairhofer, Stefan, et al.
Published: (2014)
Characterization of wheat root traits for adaptability to abiotic stress
by: Nevescanin Moreno, Antonia Lucia Guadalupe
Published: (2024)
by: Nevescanin Moreno, Antonia Lucia Guadalupe
Published: (2024)
Sugar beet root growth under different watering regimes: a minirhizotron study
by: Fitters, Tamara F.J., et al.
Published: (2018)
by: Fitters, Tamara F.J., et al.
Published: (2018)
Deep machine learning provides state-of-the-art performance in image-based plant phenotyping
by: Pound, Michael P., et al.
Published: (2017)
by: Pound, Michael P., et al.
Published: (2017)
Part A: Review on the adaptations of wheat and barley associated with waterlogging resistance/ Part B: Investigating the connection between ethylene and adventitious root growth under waterlogged condition, induced by dissolved starch solution
by: Cardoso, Victor
Published: (2021)
by: Cardoso, Victor
Published: (2021)
Understanding maize root physiology and whole plant response to nitrogen and hormone pulse
by: Ishaya, Findimila Dio
Published: (2023)
by: Ishaya, Findimila Dio
Published: (2023)
Assessing the responses of wheat roots and shoots to variations in soil water, temperature and CO2 concentration
by: Khalil, Aveen
Published: (2017)
by: Khalil, Aveen
Published: (2017)
OpenSimRoot: widening the scope and application of root architectural models
by: Postma, Johannes A., et al.
Published: (2017)
by: Postma, Johannes A., et al.
Published: (2017)
Characterising root branching in response to water availability
by: Morris, Emily Caroline
Published: (2019)
by: Morris, Emily Caroline
Published: (2019)
Pathways to deeper roots: anatomical phenes of maize under impedance
by: Vanhees, Dorien J.
Published: (2020)
by: Vanhees, Dorien J.
Published: (2020)
Rooting of mangosteen (Garcinia mangostana) cuttings : effects of basal wounding and IBA
by: Mad, Hasan
Published: (1990)
by: Mad, Hasan
Published: (1990)
Genome sequence of the acid-tolerant Burkholderia sp. strain WSM2230 from Karijini National Park, Australia
by: Walker, Robert, et al.
Published: (2013)
by: Walker, Robert, et al.
Published: (2013)
Genome sequence of the acid-tolerant Burkholderia sp. strain WSM2232 from Karijini National Park, Australia
by: Walker, R., et al.
Published: (2014)
by: Walker, R., et al.
Published: (2014)
High throughput phenotyping of root and shoot traits in Brassica to identify novel genetic loci for improved crop nutrition
by: Thomas, CL
Published: (2017)
by: Thomas, CL
Published: (2017)
Avoiding lodging in irrigated spring wheat. II. Genetic variation of stem and root structural properties
by: Piñera-Chavez, F.J., et al.
Published: (2016)
by: Piñera-Chavez, F.J., et al.
Published: (2016)
Deep Learning for Plant Phenotyping
by: Mori, Matteo
Published: (2016)
by: Mori, Matteo
Published: (2016)
Physiological and genetic control of phytic acid in diverse sets of wheat (Triticum aestivum L.)
by: Lozano Guajardo, Josefina Concepcion
Published: (2021)
by: Lozano Guajardo, Josefina Concepcion
Published: (2021)
Identifying wheat root traits and regulatory genes for nitrogen uptake efficiency
by: Griffiths, Marcus
Published: (2018)
by: Griffiths, Marcus
Published: (2018)
Decomposition of roots and nodules of centrosema pubescens benth
by: Hashim, Azizah
Published: (1979)
by: Hashim, Azizah
Published: (1979)
Physiological and genetic variation in Nitrogen Use Efficiency of wheat
by: Nitnavare, Rahul
Published: (2024)
by: Nitnavare, Rahul
Published: (2024)
Unravelling the regulatory network controlling lateral root hydropatterning
by: Banda, Jason
Published: (2021)
by: Banda, Jason
Published: (2021)
Investigation lateral root development in Arabidopsis thaliana
by: Alsaffar, Nora
Published: (2023)
by: Alsaffar, Nora
Published: (2023)
Characterization and genetic diversity of Rigidoporus microporus associated with white root rot disease in rubber tree (Hevea brasiliensis müll.arg.)
by: Andrew, Bernice
Published: (2020)
by: Andrew, Bernice
Published: (2020)
Robust tests for a linear trend with an application to equity indices
by: Astill, Sam, et al.
Published: (2014)
by: Astill, Sam, et al.
Published: (2014)
A scanner-based rhizobox system enabling the quantification
of root system development and response of Brassica rapa seedlings to external P availability
by: Adu, Michael Osei, et al.
Published: (2017)
by: Adu, Michael Osei, et al.
Published: (2017)
Morphological and genetic characterisation of the root system architecture of selected barley recombinant chromosome substitution lines using an integrated phenotyping approach
by: De La Fuente Canto, C., et al.
Published: (2018)
by: De La Fuente Canto, C., et al.
Published: (2018)
Similar Items
-
Phenotyping pipeline reveals major seedling root growth QTL in hexaploid wheat
by: Atkinson, Jonathan A., et al.
Published: (2015) -
Optimising root growth to improve uptake and utilization of water and nitrogen in wheat and barley
by: César de Carvalho, Pedro Miguel
Published: (2009) -
Leaf photosynthesis and associations with grain yield, biomass and nitrogen-use efficiency in landraces, synthetic-derived lines and cultivars in wheat
by: Gaju, Oorbessy, et al.
Published: (2016) -
Root system markup language: toward an unified root architecture description language
by: Lobet, Guillaume, et al.
Published: (2015) -
Variations in root system architecture and root growth dynamics of Brassica rapa genotypes using a new scanner-based phenotyping system
by: Adu, Michael Osei
Published: (2014)