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Functional Plant Biology Functional Plant Biology Society
Plant function and evolutionary biology
RESEARCH FRONT

Development of a novel semi-hydroponic phenotyping system for studying root architecture

Ying L. Chen A D , Vanessa M. Dunbabin B , Art J. Diggle C , Kadambot H. M. Siddique D and Zed Rengel A D E
+ Author Affiliations
- Author Affiliations

A Soil Science and Plant Nutrition, School of Earth and Environment (M087), University of Western Australia, 35 Stirling Highway, Crawley, WA 6009, Australia.

B Tasmanian Institute of Agricultural Research, University of Tasmania, Private Bag 54, Hobart, Tas. 7001, Australia.

C Department of Agriculture and Food, Western Australia, Locked Bag 4, Bentley, WA 6983, Australia.

D University of Western Australia Institute of Agriculture, University of Western Australia (M082), 35 Stirling Highway, Crawley, WA 6009, Australia.

E Corresponding author. Email: zed.rengel@uwa.edu.au

Functional Plant Biology 38(5) 355-363 https://doi.org/10.1071/FP10241
Submitted: 13 December 2010  Accepted: 20 March 2011   Published: 2 May 2011

Abstract

A semi-hydroponic bin system was developed to provide an efficient phenotyping platform for studying root architecture. The system was designed to accommodate a large number of plants in a small area for screening genotypes. It was constructed using inexpensive and easily obtained materials: 240 L plastic mobile bins, clear acrylic panels covered with black calico cloth and a controlled watering system. A screening experiment for root traits of 20 wild genotypes of narrow-leafed lupin (Lupinus angustifolius L.) evaluated the reliability and efficiency of the system. Root architecture, root elongation rate and branching patterns were monitored for 6 weeks. Significant differences in both architectural and morphological traits were observed among tested genotypes, particularly for total root length, branch number, specific root length and branch density. Results demonstrated that the bin system was efficient in screening root traits in narrow-leafed lupin, allowing for rapid measurement of two-dimensional root architecture over time with minimal disturbance to plant growth and without destructive root sampling. The system permits mapping and digital measurement of dynamic growth of taproot and lateral roots. This phenotyping platform is a desirable tool for examining root architecture of deep root systems and large sets of plants in a relatively small space.

Additional keywords: bin system, branching, Lupinus angustifolius, narrow-leafed lupin, root length, root morphology, root system architecture, root traits, RSA.


References

Bonser AM, Lynch J, Snapp S (1996) Effect of phosphorus deficiency on growth angle of basal roots in Phaseolus vulgaris. New Phytologist 132, 281–288.
Effect of phosphorus deficiency on growth angle of basal roots in Phaseolus vulgaris.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BD3MnlvFOjtg%3D%3D&md5=87d6675e68df47b4ca2c5c8ee3da42e8CAS | 11541132PubMed |

Casson SA, Lindsey K (2003) Genes and signaling in root development. New Phytologist 158, 11–38.

Cichy KA, Snapp SS, Blair MW (2009) Plant growth habit, root architecture traits and tolerance to low soil phosphorus in an Andean population. Euphytica 165, 257–268.
Plant growth habit, root architecture traits and tolerance to low soil phosphorus in an Andean population.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1cXhsVWht7%2FM&md5=e2058d86c20140527fcbb7ea4ce5717eCAS |

Clements JC, Cowling WA (1991) Catalogue of the Australian lupin collection including field evaluation data for wild, semi-domesticated and fully domesticated accessions. Research Report 3/91, Department of Agriculture Western Australia.

Clements JC, White PF, Buirchell BJ (1993) The root morphology of Lupinus angustifolius in relation to other Lupinus species. Australian Journal of Agricultural Research 44, 1367–1375.
The root morphology of Lupinus angustifolius in relation to other Lupinus species.Crossref | GoogleScholarGoogle Scholar |

Diggle AJ (1988) ROOTMAP – a model in three-dimensional co-ordinates of the growth and structure of fibrous root systems. Plant and Soil 105, 169–178.
ROOTMAP – a model in three-dimensional co-ordinates of the growth and structure of fibrous root systems.Crossref | GoogleScholarGoogle Scholar |

Dunbabin VM (2007) Simulating the role of rooting traits in crop–weed competition. Field Crops Research 104, 44–51.
Simulating the role of rooting traits in crop–weed competition.Crossref | GoogleScholarGoogle Scholar |

Dunbabin VM, Diggle AJ, Rengel Z, van Hugten R (2002) Modelling the interactions between water and nutrient uptake and root growth. Plant and Soil 239, 19–38.
Modelling the interactions between water and nutrient uptake and root growth.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD38XktVGhtbw%3D&md5=ac9005eaa26733ef90fb2c969c5736a2CAS |

Fita A, Pico B, Monforte AJ, Nuez F (2008) Genetics of root system architecture using near-isogenic lines of melon. Journal of the American Society for Horticultural Science 133, 448–458.

Fitter AH (1991) Characteristics and functions of root systems. In ‘Plant roots: the hidden half’. (Eds Y Waisel, A Eshel, U Kafkafi) pp. 3–25. (Marcel Dekker: New York)

Gregory PJ, Bengough AG, Grinev D, Schmidt S, Thomas WTB, Wojciechowski T, Young M (2009) Root phenomics of crops: opportunities and challenges. Functional Plant Biology 36, 922–929.
Root phenomics of crops: opportunities and challenges.Crossref | GoogleScholarGoogle Scholar |

Hammer GL, Dong Z, McLean G, Doherty A, Messina C, Schussler J, Zinselmeier C, Paszkiewicz S, Cooper M (2009) Can changes in canopy and/or root system architecture explain historical maize yield trends in the US corn belt? Crop Science 49, 299–312.
Can changes in canopy and/or root system architecture explain historical maize yield trends in the US corn belt?Crossref | GoogleScholarGoogle Scholar |

Hund A, Trachsel S, Stamp P (2009) Growth of axile and lateral roots of maize. I: Development of a phenotyping platform. Plant and Soil 325, 335–349.
Growth of axile and lateral roots of maize. I: Development of a phenotyping platform.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1MXhsFSrt7vI&md5=09fa0807116a281710bd93a4cc731b5eCAS |

Kato Y, Abe J, Kamoshita A, Yamagishi J (2006) Genotypic variation in root growth angle in rice and its association with deep root development in upland fields with different water regimes. Plant and Soil 287, 117–129.
Genotypic variation in root growth angle in rice and its association with deep root development in upland fields with different water regimes.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD28XhtVCntb3N&md5=30a683663c05f4da9eac73c959e01b2fCAS |

Liao H, Yan XL, Rubio G, Beebe SE, Blair MW, Lynch JP (2004) Genetic mapping of basal root gravitropism and phosphorus acquisition efficiency in common bean. Functional Plant Biology 31, 959–970.
Genetic mapping of basal root gravitropism and phosphorus acquisition efficiency in common bean.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2cXosFSqu7s%3D&md5=44220cfe5c0fa1e69cc7c98fc0a20415CAS |

Lynch J (1995) Root architecture and plant productivity. Plant Physiology 109, 7–13.

Lynch JP, Brown KM (2001) Topsoil foraging – an architectural adaptation of plants to low phosphorus availability. Plant and Soil 237, 225–237.
Topsoil foraging – an architectural adaptation of plants to low phosphorus availability.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD38XovVWltA%3D%3D&md5=71bc932d0f826182691b51c3a1545899CAS |

Lynch J, Nielsen K, Davis R, Jablokow A (1997) SimRoot: modeling and visualization of botanical root systems. Plant and Soil 188, 139–151.
SimRoot: modeling and visualization of botanical root systems.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaK2sXjvFymsrc%3D&md5=3f8c959f0a981347f435f40e475fb6f8CAS |

Malamy JE (2005) Intrinsic and environmental response pathways that regulate root system architecture. Plant, Cell & Environment 28, 67–77.
Intrinsic and environmental response pathways that regulate root system architecture.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2MXhsVGqtLg%3D&md5=2304d7791881cee23328eadb6054301fCAS | 16021787PubMed |

Manschadi AM, Hammer GL, Christopher JT, de Voil P (2008) Genotypic variation in seedling root architectural traits and implications for drought adaptation in wheat (Triticum aestivum L.). Plant and Soil 303, 115–129.
Genotypic variation in seedling root architectural traits and implications for drought adaptation in wheat (Triticum aestivum L.).Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1cXht1Shtbg%3D&md5=1a581516a38cfef5eeb321a9eea23032CAS |

Miller CR, Ochoa I, Nielsen KL, Beck D, Lynch JP (2003) Genetic variation for adventitious rooting in response to low phosphorus availability: potential utility for phosphorus acquisition from stratified soils. Functional Plant Biology 30, 973–985.
Genetic variation for adventitious rooting in response to low phosphorus availability: potential utility for phosphorus acquisition from stratified soils.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD3sXpsVWnsrk%3D&md5=98a85d3b0efe3c84a32f3aa436b6aaaeCAS |

Nibau C, Gibbs DJ, Coates JC (2008) Branching out in new directions, the control of root architecture by lateral root formation. New Phytologist 179, 595–614.
Branching out in new directions, the control of root architecture by lateral root formation.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1cXhtVKns7zN&md5=76b87b0aca58bc16956028edacb4ab9aCAS | 18452506PubMed |

Ostonen I, Püttsepp Ü, Biel C, Alberton O, Bakker MR, Lõhmus K, Majdi H, Metcalfe D, Olsthoorn AFM, Pronk A, Vanguelova E, Weih M, Brunner I (2007) Specific root length as an indicator of environmental change. Plant Biosystems 141, 426–442.
Specific root length as an indicator of environmental change.Crossref | GoogleScholarGoogle Scholar |

Rengel Z, Damon PM (2008) Crops and genotypes differ in efficiency of potassium uptake and use. Physiologia Plantarum 133, 624–636.
Crops and genotypes differ in efficiency of potassium uptake and use.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1cXps1Oit78%3D&md5=afd39867683d0d42ad0a7c335ed312adCAS | 18397208PubMed |

Rose TJ, Rengel Z, Ma Q, Bowden JW (2009) Crop species differ in root plasticity response to localised P supply. Journal of Plant Nutrition and Soil Science 172, 360–368.
Crop species differ in root plasticity response to localised P supply.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1MXotFGqurc%3D&md5=775a1582e540c65bd3e6ffe1c5c8274fCAS |

Tabachnik BG, Fidell LS (1996) ‘Using multivariate statistics.’ (Harper Collins: New York)

Tennant D (1975) A test of a modified line interest method for estimating root length. Journal of Ecology 63, 995–1001.
A test of a modified line interest method for estimating root length.Crossref | GoogleScholarGoogle Scholar |

van Noordwijk M, Spek LY, de Willigen P (1994) Proximal root diameter as predictor of total root size for fractal branching models. I: Theory. Plant and Soil 164, 107–117.
Proximal root diameter as predictor of total root size for fractal branching models. I: Theory.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaK2MXitlyktbo%3D&md5=5dfa04907d69507098a8f398b05054ffCAS |

Watt M, Kirkegaard JA, Passioura JB (2006) Rhizosphere biology and crop productivity. Australian Journal of Soil Research 44, 299–317.
Rhizosphere biology and crop productivity.Crossref | GoogleScholarGoogle Scholar |

Wiese AH, Riemenschneider DE, Zalesny RS (2005) An inexpensive rhizotron design for two-dimensional, horizontal root growth measurements . Tree Planters’ Notes 51, 40–46.