Relevant Literature:
Review: An integrated framework for crop adaptation to dry environments: Responses to transient and terminal drought. Berger et al. (2016) Plant Science 253. https://doi.org/10.1016/j.plantsci.2016.09.007
RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols. Bodner et al. (2017) Journal of Visualized Experiments, 126. https://doi.org/10.3791/56251
Characterising root trait variability in chickpea (Cicer arietinum L.) germplasm. Chen et al. (2017) Journal of Experimental Botany, 68:8. https://doi.org/10.1093/jxb/erw368
Root Gap Correction with a Deep Inpainting Model. Chen et al. (2018) https://www.plant-phenotyping.org/lw_resource/datapool/systemfiles/eleme...
High-throughput two-dimensional root system phenotyping platform facilitates genetic analysis of root growth and development. Clark et al. (2013) Plant Cell & Environment, 36:2. https://doi.org/10.1111/j.1365-3040.2012.02587.x
Rhizobial strain involvement in symbiosis efficiency of chickpea–rhizobia under drought stress: plant growth, nitrogen fixation and antioxidant enzyme activities. Esfahani et al. (2011) Acta Physiologiae Plantarum, 33:4. https://doi.org/10.1007/s11738-010-0635-2
Imaging and Analysis Platform for Automatic Phenotyping and Trait Ranking of Plant Root Systems. Iyer-Pascuzzi et al. (2010) Plant Physiology, 152:3. https://doi.org/10.1104/pp.109.150748
Wheat root growth responses to horizontal stratification of fertiliser in a water-limited environment. Jin et al. (2015) Plant Soil, 386:1-2. https://doi.org/10.1007/s11104-014-2249-8
Advancements in Root Growth Measurement Technologies and Observation Capabilities for Container-Grown Plants. Judd et al. (2015) Plants, 4:3. https://doi.org/10.3390/plants4030369
Scope for improvement of yield under drought through the root traits in chickpea (Cicer arietinum L.). Kashiwagi et al. (2015) Field Crops Research, 170. https://doi.org/10.1016/j.fcr.2014.10.003
Root phenotyping: from component trait in the lab to breeding. Kuijken et al. (2015) Journal of Experimental Botany, 66:18. https://doi.org/10.1093/jxb/erv239
An evaluation of inexpensive methods for root image acquisition when using rhizotrons. Mohamed et al. (2017) Plant Methods, 13:11. https://doi.org/10.1186/s13007-017-0160-z
GROWSCREEN-Rhizo is a novel phenotyping robot enabling simultaneous measurements of root and shoot growth for plants grown in soil-filled rhizotrons. Nagel et al. (2012) Functional Plant Biology, 39:11. https://doi.org/10.1071/FP12023
Response of chickpea (Cicer arietinum L.) to terminal drought: leaf stomatal conductance, pod abscisic acid concentration, and seed set. Pang et al. (2017) Journal of Experimental Botany, 68:8. https://doi.org/10.1093/jxb/erw153
Deep Machine Learning provides state-of-the-art performance in image-based plant phenotyping. Pound et al. (2016) GigaScience, 6:10. https://doi.org/10.1093/gigascience/gix083
Shoot traits and their relevance in terminal drought tolerance of chickpea (Cicer arietinum L.). Purushothaman et al. (2016) Field Crops Research, 197. https://doi.org/10.1016/j.fcr.2016.07.016
Root traits confer grain yield advantages under terminal drought inchickpea (Cicer arietinum L.). Purushothaman et al. (2017) Field Crops Research, 201. https://doi.org/10.1016/j.fcr.2016.11.004
GLO-Roots: an imaging platform enabling multidimensional characterization of soil-grown root systems. Rellán-Álvarez et al. (2015) eLife. https://doi.org/10.7554/eLife.07597
Machine Learning for High-Throughput Stress Phenotyping in Plants. Singh et al. (2016) Trends in Plant Science, 21:2. https://doi.org/10.1016/j.tplants.2015.10.015
A simulation study of chickpea crop response to limited irrigation in a semiarid environment. Soltani et al. (2001) Agricultural Water Management, 49:3. https://doi.org/10.1016/S0378-3774(00)00143-8
RhizoChamber-Monitor: a robotic platform and software enabling characterization of root growth. Wu et al. (2018) Plant Methods, 14:44. https://doi.org/10.1186/s13007-018-0316-5
A conservative pattern of water use, rather than deep or profuse rooting, is critical for the terminal drought tolerance of chickpea. Zaman-Allah et al. (2011) Journal of Experimental Botany, 62:12. https://doi.org/10.1093/jxb/err139
Rhizobium-Legume Symbiosis and Nitrogen Fixation under Severe Conditions and in an Arid Climate. Zahran et al. (1999) Microbiolgy and Molecular Biology Reviews, 63:4. https://mmbr.asm.org/content/63/4/968.full
Phenotyping: Using Machine Learning for Improved Pairwise Genotype Classification Based on Root Traits. Zhao et al. (2016) Frontiers in Plant Science, 7. https://doi.org/10.3389/fpls.2016.01864