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Protocols in ecological and environmental plant physiology

 

Article << Previous     |     Next >>   Contents Vol 39(11)

GlyPh: a low-cost platform for phenotyping plant growth and water use

Gustavo A. Pereyra-Irujo A, Emmanuel D. Gasco A, Laura S. Peirone A and Luis A. N. Aguirrezábal A B

A Laboratorio de Fisiología Vegetal, Unidad Integrada Balcarce, Facultad de Ciencias Agrarias, Universidad Nacional de Mar del Plata – Instituto Nacional de Tecnología Agropecuaria, Ruta 226 Km 73, 7620 Balcarce, Argentina.
B Corresponding author. Email: laguirre@mdp.edu.ar

Functional Plant Biology 39(11) 905-913 http://dx.doi.org/10.1071/FP12052
Submitted: 17 February 2012  Accepted: 21 July 2012   Published: 28 August 2012


 
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Abstract

Breeding drought-tolerant crop varieties with higher water use efficiency could help maintain food supply to a growing population and save valuable water resources. Fast and accurate phenotyping is currently a bottleneck in the process towards attaining this goal, as available plant phenotyping platforms have an excessive cost for many research institutes or breeding companies. Here we describe a simple and low-cost, automatic platform for high-throughput measurement of plant water use and growth and present its utilisation to assess the drought tolerance of two soybean genotypes. The platform allows the evaluation of up to 120 plants growing in individual pots. A cart moving in only one direction carries the measuring and watering devices. Watering and measurement routines allow the simulation of multiple water regimes for each plant individually and indicate the timing of measurement of soil water content and image capture for growth estimation. Water use, growth and water use efficiency were measured in two experiments with different water scenarios. Differences in water use efficiency between genotypes were detected only in some treatments, emphasising the importance of phenotyping platforms to evaluate a genotype’s phenotype under a broad range of conditions in order to capture valuable differences, minimising the chance of artefacts and increasing precision of measurements.

Additional keywords: abiotic stress, drought tolerance, dry matter accumulation, plant phenomics, transpiration, Glycine spp.


References

Benalcázar M, Padín J, Brun M, Pastore J, Ballarin V, Peirone L, Pereyra-Irujo G (2011) Measuring leaf area in soy plants by HSI color model filtering and mathematical morphology. Journal of Physics: Conference Series 332, 012034
CrossRef |

Biskup B, Scharr H, Schurr U, Rascher U (2007) A stereo imaging system for measuring structural parameters of plant canopies. Plant, Cell & Environment 30, 1299–1308.
CrossRef |

Blum A (2005) Drought resistance, water-use efficiency, and yield potential – are they compatible, dissonant, or mutually exclusive? Australian Journal of Agricultural Research 56, 1159–1168.
CrossRef |

Crowe M, Berger B, Tester M (2012) The Plant Accelerator Case Study: use of The Plant Accelerator to map quantitative trait loci for osmotic tolerance in wheat. The Plant Accelerator, University of Adelaide, Australia. Available at: http://www.plantaccelerator.org.au/technology/publications/Case3_Mapping_osmotic_tolerance.pdf [Accessed 2 July 2012]

Earl HJ (2002) Stomatal and non-stomatal restrictions to carbon assimilation in soybean (Glycine max) lines differing in water use efficiency. Environmental and Experimental Botany 48, 237–246.
CrossRef | CAS |

Faiz SMA, Weatherley PE (1982) Root contraction in transpiring plants. New Phytologist 92, 333–343.
CrossRef |

FAO (2012) FAO Statistical Databases. Food and Agricultural Organization of the United Nations (FAO). Available at: http://faostat.fao.org [Accessed 30 May 2012]

Fehr WR, Caviness CE, Burmood DT, Pennington JS (1971) Stage of development descriptions for soybeans, Glycine max (L.) Merrill. Crop Science 11, 929–931.
CrossRef |

Fiorani F, Rascher U, Jahnke S, Schurr U (2012) Imaging plants dynamics in heterogenic environments. Current Opinion in Biotechnology 23, 227–235.
CrossRef | CAS |

Furbank RT, Tester M (2011) Phenomics – technologies to relieve the phenotyping bottleneck. Trends in Plant Science 16, 635–644.
CrossRef | CAS |

Golzarian M, Frick R, Rajendran K, Berger B, Roy S, Tester M, Lun D (2011) Accurate inference of shoot biomass from high-throughput images of cereal plants. Plant Methods 7, 2
CrossRef | CAS |

Gornall J, Betts R, Burke E, Clark R, Camp J, Willett K, Wiltshire A (2010) Implications of climate change for agricultural productivity in the early twenty-first century. Philosophical Transactions of the Royal Society B, Biological Sciences 365, 2973–2989.
CrossRef |

Granier C, Aguirrezabal L, Chenu K, Cookson SJ, Dauzat M, Hamard P, Thioux JJ, Rolland G, Bouchier-Combaud S, Lebaudy A, Muller B, Simonneau T, Tardieu F (2006) PHENOPSIS, an automated platform for reproducible phenotyping of plant responses to soil water deficit in Arabidopsis thaliana permitted the identification of an accession with low sensitivity to soil water deficit. New Phytologist 169, 623–635.
CrossRef |

Harris V, Sadras V, Tester M (2010) A water-centred framework to assess the effects of salinity on the growth and yield of wheat and barley. Plant and Soil 336, 377–389.
CrossRef | CAS |

Hartmann A, Czauderna T, Hoffmann R, Stein N, Schreiber F (2011) HTPheno: an image analysis pipeline for high-throughput plant phenotyping. BMC Bioinformatics 12, 148
CrossRef |

Helmert M, Lasinger H (2010) The Scanalyzer domain: greenhouse logistics as a planning problem. In ‘Proceedings of the 20th International Conference on automated planning and scheduling’. pp. 234–237. (ICAPS: Toronto, Canada)

Huang J, Pray C, Rozelle S (2002) Enhancing the crops to feed the poor. Nature 418, 678–684.
CrossRef | CAS |

Hufstetler EV, Boerma HR, Carter TE, Earl HJ (2007) Genotypic variation for three physiological traits affecting drought tolerance in soybean. Crop Science 47, 25–35.
CrossRef |

Iyer-Pascuzzi AS, Symonova O, Mileyko Y, Hao Y, Belcher H, Harer J, Weitz JS, Benfey PN (2010) Imaging and analysis platform for automatic phenotyping and trait ranking of plant root systems. Plant Physiology 152, 1148–1157.
CrossRef | CAS |

Kolukisaoglu U, Thurow K (2010) Future and frontiers of automated screening in plant sciences. Plant Science 178, 476–484.
CrossRef | CAS |

Liu F, Andersen M, Jacobsen SE, Jensen CR (2005) Stomatal control and water use efficiency of soybean (Glycine max L. Merr.) during progressive soil drying. Environmental and Experimental Botany 54, 33–40.
CrossRef | CAS |

Nagel KA, Putz A, Gilmer F, Heinz K, Fischbach A, Pfeifer J, Faget M, Blossfeld S, Ernst M, Dimaki C, Kastenholz B, Kleinert A, Galinski A, Scharr H, Fiorani F, Schurr U (2012) GROWSCREEN-Rhizo is a novel phenotyping robot enabling simultaneous measurements of root and shoot growth for plants grown in soil-filled rhizotrons. Functional Plant Biology 39, 891–904.
CrossRef |

Nicotra AB, Davidson A (2010) Adaptive phenotypic plasticity and plant water use. Functional Plant Biology 37, 117–127.
CrossRef |

Niklas KJ (1998) Effects of vibration on mechanical properties and biomass allocation pattern of Capsella bursa-pastoris (Cruciferae). Annals of Botany 82, 147–156.
CrossRef |

Pereyra-Irujo GA, Velazquez L, Granier C, Aguirrezabal LAN (2007) A method for drought tolerance screening in sunflower. Plant Breeding 126, 445–448.
CrossRef |

Polder G, van der Heijden GWAM, Glasbey CA, Song Y, Dieleman JA (2009) ‘Spy-see – advanced vision system for phenotyping in greenhouses.’ (National Physical Laboratory: London)

Ragoussis J (2009) Genotyping technologies for genetic research. Annual Review of Genomics and Human Genetics 10, 117–133.
CrossRef | CAS |

Reuzeau C, Frankard V, Hatzfeld Y, Sanz A, Van Camp W, Lejeune P, De Wilde C, Lievens K, de Wolf J, Vranken E, Peerbolte R, Broekaert W (2006) Traitmill™: a functional genomics platform for the phenotypic analysis of cereals. Plant Genetic Resources; Characterization and Utilization 4, 20–24.
CrossRef | CAS |

Richards RA, Rebetzke GJ, Watt M, Condon AG, Spielmeyer W, Dolferus R (2010) Breeding for improved water productivity in temperate cereals: phenotyping, quantitative trait loci, markers and the selection environment. Functional Plant Biology 37, 85–97.
CrossRef |

Rosegrant M, Cline S (2003) Global food security: challenges and policies. Science 302, 1917–1919.
CrossRef | CAS |

Sadok W, Naudin P, Boussuge B, Muller B, Welcker C, Tardieu F (2007) Leaf growth rate per unit thermal time follows QTL-dependent daily patterns in hundreds of maize lines under naturally fluctuating conditions. Plant, Cell & Environment 30, 135–146.
CrossRef |

Tardieu F (2005) Plant tolerance to water deficit: physical limits and possibilities for progress. Comptes Rendus Geoscience 337, 57–67.
CrossRef |

Tsaftaris S, Noutsos C (2009) Plant phenotyping with low cost digital cameras and image analytics. Information technologies in environmental engineering. Information Technologies in Environmental Engineering: Environmental Science and Engineering 2, 238–251.
CrossRef |

Vega CRC, Andrade FH, Sadras VO, Uhart SA, Valentinuz OR (2001) Seed number as a function of growth. A comparative study in soybean, sunflower, and maize. Crop Science 41, 748–754.
CrossRef |

Walter A, Scharr H, Gilmer F, Zierer R, Nagel KA, Ernst M, Wiese A, Virnich O, Christ MM, Uhlig B, Jünger S, Schurr U (2006) Dynamics of seedling growth acclimation towards altered light conditions can be quantified via GROWSCREEN: a setup and procedure designed for rapid optical phenotyping of different plant species. New Phytologist 174, 447–455.
CrossRef |

Wells DM, French AP, Naeem A, Ishaq O, Traini R, Hijazi H, Bennett MJ, Pridmore TP (2012) Recovering the dynamics of root growth and development using novel image acquisition and analysis methods. Philosophical Transactions of the Royal Society B, Biological Sciences 367, 1517–1524.
CrossRef |

Wiersma JV, Bailey TB (1975) Estimation of leaflet, trifoliolate, and total leaf areas of soybeans. Agronomy Journal 67, 26–30.
CrossRef |

Yang W, Xu X, Duan L, Luo Q, Chen S, Zeng S, Liu Q (2011) High-throughput measurement of rice tillers using a conveyor equipped with x-ray computed tomography. Review of Scientific Instruments 82, 025102
CrossRef |


   
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