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Multi-spectral imaging of rhizobox systems: New perspectives for the observation and discrimination of rhizosphere components

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Abstract

In this issue of Plant and Soil Nakaji et al. (Plant Soil, this volume, 2008) report a novel approach for automatically identifying roots and other rhizosphere components in rhizosphere images acquired using a multi-spectral (visible—VIS- and near-infrared—NIR-) imaging system. The images are acquired through a root-window observation device and the study highlights the perspectives offered by this imaging system. An outstanding outcome of this research is that the new approach can be applied to effectively separate soil litter from the purely mineral phase and distinguish root tissues that differ in physiological status, i.e. live (different age classes), senescent and dead. If achievable routinely, such a detailed classification of rhizosphere components could greatly improve our appraisal of root turnover and associated organic matter input to the soil, information of paramount importance for an improved understanding of many essential processes such as global geochemical cycles. Minirhizotrons (MR) systems have been increasingly used in global change studies because they are a convenient way to frequently and nondestructively quantify root length production and mortality (Norby and Jackson, New Phytol, 147:3–12, 2000; Hendrick and Pregitzer, Ecology, 73:1094–1104, 1992). However, the MR technique still has many limitations, including the lack of a standard, accurate and rapid procedure to extract and classify rhizosphere components from the MR images obtained. The recent work by Nakaji et al. (Plant Soil, this volume, 2008) provides convincing evidence that the inclusion of a VIS-NIR multi-spectral capability into conventional MR systems could substantially improve this method, and extend its adoption by the wider plant scientist community as a standard research tool.

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Abbreviations

MR:

minirhizotron

NIR:

near infrared

VIS:

visible

References

  • Atkin OK, Edwards EJ, Loveys BR (2000) Response of root respiration to changes in temperature and its relevance to global warming. New Phytol 147:141–154

    Article  CAS  Google Scholar 

  • Blossfeld S, Gansert D (2007) A novel non-invasive optical method for quantitative visualization of pH dynamics in the rhizosphere of plants. Plant Cell Environ 30:176–186

    Article  PubMed  CAS  Google Scholar 

  • Cheng W, Coleman DC, Box JE Jr (1990) Root dynamics, production and distribution in agroecosystems on the Georgia Piedmont using minirhizotrons. J Appl Ecol 27:592–603

    Google Scholar 

  • Cheng W, Coleman DC, Box JE Jr (1991) Measuring root turnover using the minirhizotron technique. Agric Ecosyst Environ 34:261–267

    Article  Google Scholar 

  • Clemensson-Lindell A (1994) Triphenyltetrazolium chloride as an indicator of fine-root vitality and environmental stress in coniferous forest stands: application and limitations. Plant Soil 159:297–300

    Article  CAS  Google Scholar 

  • Clothier BE, Green SR (1997) Roots: the big movers of water and chemicals in soil. Soil Sci 162:534–543

    Article  CAS  Google Scholar 

  • Comas LH, Eissenstat DM, Lakso AN (2000) Assessing root death and root system dynamics in a study of grape canopy pruning. New Phytol 147:P171–P178

    Article  Google Scholar 

  • Cresswell HP, Kirkegaard JA (1995) Subsoil amelioration by plant roots: the process and the evidence. Aust J Soil Res 33:221–239

    Article  Google Scholar 

  • Crocker TL, Hendrick RL, Ruess RW, Pregitzer KS, Burton AJ, Allen MF (2003) Substituting root numbers for length: improving the use of minirhizotrons to study fine root dynamics. Appl Soil Ecol 23:127–135

    Article  Google Scholar 

  • Devereux-Joslin J, Wolfe MH (1999) Disturbances during minirhizotron installation can affect root observation data. Soil Sci Soc Am J 63:218–221

    Google Scholar 

  • Dubach M, Russelle MP (1995) Reducing the cost of estimating root turnover with horizontally installed minirhizotrons. Agron J 87:258–263

    Google Scholar 

  • Guo D, Li H, Mitchell RJ, Han W, Hendricks JJ, Fahey TJ, Hendrick RL (2008) Fine root heterogeneity by branch order: exploring the discrepancy in root turnover estimates between minirhizotron and carbon isotopic methods. New Phytol 177:443–456

    Article  PubMed  Google Scholar 

  • Hendrick RL, Pregitzer KS (1992) The demography of fine roots in a northern hardwood forest. Ecology 73:1094–1104

    Article  Google Scholar 

  • Hendricks JJ, Hendrick RL, Wilson CA, Mitchell RJ, Pecot SD, Guo D (2006) Assessing the patterns and controls of fine root dynamics: an empirical test and methodological review. J Ecol 94:40–57

    Article  Google Scholar 

  • Hiltner L (1904) Über neuere Ehrfahrungen und Problem auf dem Gebiet der Bodenbakteriologie unter besonderer Berücksichtigung der Grundüngung und Brache. Arbeiten der Deutschen Landwirtschafts Gesellschaft 98:59–78

    Google Scholar 

  • Jaillard B, Ruiz L, Arvieu JC (1996) pH mapping in transparent gel using color indicator videodensitometry. Plant Soil 183:85–95

    Article  CAS  Google Scholar 

  • Johnson MG, Tingey DT, Phillips DL, Storm MJ (2001) Advancing fine root research with minirhizotrons. Environ Exp Bot 45:263–289

    Article  PubMed  Google Scholar 

  • Joslin JD, Henderson GS (1984) The determination of percentages of living tissue in woody fine root sample using triphenyltetrazolium chloride. For Sci 30:965–970

    Google Scholar 

  • Kooistra MJ, Schoonderbeek D, Boone FR, Veen BW, van Noordwijk M (1992) Root–soil contact of maize, as measured by a thin section technique: II. Effects of soil compaction. Plant Soil 139:119–129

    Article  Google Scholar 

  • Kooistra MJ, Wanders LJ, Epema GF, Leuven RSEW, Wehrens R, Buydens LMC (2003) The potential of field spectroscopy for the assessment of sediment properties in river floodplains. Anal Chim Acta 484:189–200

    Article  CAS  Google Scholar 

  • Kristensen HL, Thorup-Kristensen K (2004) Uptake of 15N labeled nitrate by root systems of sweet corn, carrot and white cabbage from 0.2–2.5 meters depth. Plant Soil 265:93–100

    Article  CAS  Google Scholar 

  • Lonkerd WE, Ritchie JT (1979) Split root observation system for root dynamics studies. Agron J 71:519–522

    Google Scholar 

  • Majdi H, Pregitzer K, More AS, Nylund JE, Agren GI (2005) Measuring fine root turnover in forest ecosystems. Plant Soil 276:1–8

    Article  CAS  Google Scholar 

  • Marshner H, Römheld V, Horst WJ, Martin P (1986) Root-induced changes in the rhizosphere: Importance for the mineral nutrition of plants. Z Pflanzenernähr Bodenkd 149:441–456

    Article  Google Scholar 

  • McDougall WB (1916) The growth of forest tree roots. Am J Bot 3:384–392

    Article  Google Scholar 

  • McMichael BL, Taylor HM (1987) Applications and limitations of rhizotrons and minirhizotrons. In: Taylor HM (ed) Minirhizotron observation tubes: Methods and applications for measuring rhizosphere dynamics. Madison, WI: ASA, CSSA, SSSA, 1-13 ASA Spec. Publ. 50

  • Mouazen AM, Karoui R, De Baerdemaeker J, Ramon H (2006) Characterization of soil water content using measured visible and near infrared spectra. Soil Sci Soc Am J 70:1295–1302

    Article  CAS  Google Scholar 

  • Nakaji T, Noguchi K, Oguma H (2008) Classification of rhizosphere components using visible–near infrared spectral images. Plant Soil (this volume)

  • Nater EA, Nater KD, Baker JM (1992) Application of artificial neural system algorithms to image analysis of roots in soil, I. Initial results. Geoderma 53:237–253

    Article  Google Scholar 

  • Norby RJ, Jackson RB (2000) Root dynamics and global change: seeking an ecosystem perspective. New Phytol 147:3–12

    Article  CAS  Google Scholar 

  • Passioura JB (1991) Soil structure and plant growth. Aust J Soil Res 29:717–728

    Article  Google Scholar 

  • Pierret A, Moran CJ, Doussan C (2005) Conventional detection methodology is limiting our ability to understand the roles and functions of fine roots. New Phytol 166:967–980

    Article  PubMed  Google Scholar 

  • Rasse DP, Smucker AJM (1998) Root recolonization of previous root channels in corn and alfalfa rotations. Plant Soil 204:203–212

    Article  CAS  Google Scholar 

  • Reeves JB, McCarty GW, Meisinger JJ (2000) Near infrared reflectance spectroscopy for the determination of biological activity in agricultural soils. J Near Infrared Spectrosc 8:161–170

    CAS  Google Scholar 

  • Reeves JB, McCarty GW, Reeves VB (2001) Mid-infrared diffuse reflectance spectroscopy for the quantitative analysis of agricultural soils. J Agric Food Chem 49:766–772

    Article  PubMed  CAS  Google Scholar 

  • Richner W, Liedgens M, Burgi H, Soldati A, Stamp P (2000) Root image analysis and interpretation. In: Smit AL et al (ed) Root methods: a handbook. Springer, Berlin, pp 305–341

    Google Scholar 

  • Roumet C, Picon-Cochard C, Dawson LA, Joffre R, Mayes R, Blanchard A, Brewer MJ (2006) Quantifying species composition in root mixtures using two methods: near-infrared reflectance spectroscopy and plant wax markers. New Phytol 170:631–638

    Article  PubMed  CAS  Google Scholar 

  • Smit AL, Groenwold J (2005) Root characteristics of selected field crops: Data from the Wageningen Rhizolab (1990–2002). Plant Soil 272:365–384

    Article  CAS  Google Scholar 

  • Smit AL, Bengough AG, Engels C, van Noordwijk M, Pellerin S, van de Geijn SC (2000) Root methods: a handbook. Springer, Berlin

    Google Scholar 

  • Smucker AJM (1990) Quantification of root dynamics in agroecological systems. In: Goel VS, Norman JM (eds) Instrumentation for Studying Vegetation Canopies for Remote Sensing in Optical and Thermal Infrared Regions. Remote Sensing Reviews 5, pp. 237–248

  • Smucker AJM (1993) Soil environmental modifications of root dynamics and measurement. Annu Rev Phytopathol 31:191–216

    Article  Google Scholar 

  • Smucker AJM, Ferguson JC, DeBruyn WP, Belford RK, Ritchie JT (1987) Image Analysis of video-recordred plant root systems. In: Taylor HM (ed) Minirhizotron observation tubes: methods and applications for measuring rhizosphere dynamics. ASA Spec. Publ. 50, 67–80

  • Stirzaker RJ, Passioura JB, Wilms T (1996) Soil structure and plant growth—impact of bulk density and biopores. Plant Soil 185:151–162

    Article  CAS  Google Scholar 

  • Strand AE, Pritchard SG, McCormac ML, Davis MA, Oren R (2008) Irreconcilable differences: fine-root life spans and soil carbon persistence. Science 319:456–458

    Article  PubMed  CAS  Google Scholar 

  • Tennant D (1975) A test of a modified line intersect method of estimated root length. J Ecol 63:995–1001

    Article  Google Scholar 

  • Tierney GL, Fahey TJ (2002) Fine root turnover in a northern hardwood forest: a direct comparison of the radioand minirhizotron methods. Can J For Res 32:1692–1697

    Article  Google Scholar 

  • Viscarra Rossel RA, Jeon YS, Odeh IOA, McBratney AB (2008) Using a legacy soil sample to develop a mid-IR spectral library. Aust J Soil Res 46:1–16

    Article  Google Scholar 

  • Wang Z, Burch WH, Mou P, Jones RH, Mitchell RJ (1995) Accuracy of visible and ultraviolet light for estimating live root proportions with minirhizotrons. Ecology 76:2330–2334

    Article  Google Scholar 

  • Whiting ML, Li L, Ustin SL (2004) Predicting water content using Gausian model on soil spectra. Remote Sens Environ 89:535–552

    Article  Google Scholar 

  • Withington JM, Elkin AD, Bulaj B, Olesinski J, Tracy KN, Bouma TJ (2003) The impact of material used for minirhizotron tubes for root research. New Phytol 160:533–544

    Article  Google Scholar 

  • Zobel RW, Alloush GA, Belesky DP (2006) Differential root morphology response to no versus high phosphorus in three hydroponically grown forage chicory cultivars. Environ Exp Bot 57:201–208

    Article  CAS  Google Scholar 

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  1. IRD-IWMI-NAFRI, UR Solutions, c/o Ambassade de France, BP 06, Vientiane, Lao PDR

    Alain Pierret

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  1. Alain Pierret
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Correspondence to Alain Pierret.

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Responsible Editor: Philippe Hinsinger.

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Pierret, A. Multi-spectral imaging of rhizobox systems: New perspectives for the observation and discrimination of rhizosphere components. Plant Soil 310, 263–268 (2008). https://doi.org/10.1007/s11104-008-9651-z

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