Abstract
Background and aims
Root plasticity in response to the edaphic environment represents a challenge in the quantification of phenotypic variation in crop germplasm. The aim of this study was to use various growth systems to assess phenotypic variation among wild genotypes of Lupinus angustifolius.
Methods
Ten wild genotypes of L. angustifolius selected from an earlier phenotyping study were grown in three different growth systems: semi-hydroponics, potting-mix filled pots, and river-sand filled pots.
Results
Major root-trait data collected in the present study in the semi-hydroponic growth system were strongly correlated with those from the earlier large phenotyping trial. Plants grown in the two solid media had some of the measured parameters significantly correlated. Principal component analysis captured the major variability in three (semi-hydroponics) or four (solid media) principal components. The genotypes were grouped into five clusters for each growth media, but cluster composition varied among the media. We found genetic variation and phenotypic plasticity in some root traits among tested genotypes. Using input parameters derived from the semihydroponic phenotyping system, simulation models (ROOTMAP and SimRoot) closely reproduced the root systems of a diverse range of lupin genotypes.
Conclusions
Wild L. angustifolius genotypes displayed genetic variation and phenotypic plasticity when exposed to various growth conditions. The consistent ranking of genotypes in the semihydroponic phenotyping system and the two solid media confirmed the capacity of the semihydroponic phenotyping system of providing simple and relevant growing conditions. The results demonstrated the utility of this system in gathering the data for parameterising the simulation models of root architecture.
Similar content being viewed by others
References
Ao J, Fu AJ, Tian J, Yan X, Liao H (2010) Genetic variability for root morph-architecture traits and root growth dynamics as related to phosphorus efficiency in soybean. Funct Plant Biol 37:304–312
Bassett J, Denney RC, Jeffery GH, Mendham J (1978) Vogel’s textbook of quantitative inorganic analysis including elementary instrumental analysis, 4th edn. Longman, London
Bayuelo-Jiménez JS, Gallardo-Valdéz M, Pérez-Decelis VA, Magdaleno-Armas L, Ochoa I, Lynch JP (2011) Genotypic variation for root traits of maize (Zea mays L.) from the purhepecha plateau under contrasting phosphorus availability. Field Crop Res 121:350–362
Berger JD, Adhikari KN, Wilkinson D, Buirchell BJ, Sweetingham MW (2008) Ecogeography of the old world lupins 1 ecotypic variation in yellow lupin (Lupinus luteus L). Aust J Agric Res 59:691–701
Broich SL, Palmer RG (1980) A cluster analysis of wild and domesticated soybean phenotypes. Euphytica 29:23–32
Brouwer R (1983) Functional equilibrium: sense or nonsense? New Zeal Agr Sci 31:335–348
Buirchell BJ (2008) Narrow-leafed lupin breeding in Australia—where to from here? In: Palta JA, Berger JB (eds) Lupins for health and wealth—Proceedings of the 12th International Lupin Conference, 14–18 Sept 2008, Fremantle, Western Australia International Lupin Association, Canterbury, New Zealand, pp 226–230
Chen YL, Dunbabin VM, Diggle AJ, Siddique KHM, Rengel Z (2011) Development of a novel semi-hydroponic phenotyping system for studying root architecture. Funct Plant Biol 38:355–363
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, Cowling WA (1994) Patterns of morphological diversity in relation to geographical origins of wild Lupinus angustifolius from the Aegean region. Genet Resour Crop Ev 41:109–122
Coudert Y, Périn C, Courtois B, Khong NG, Gantet P (2010) Genetic control of root development in rice, the model cereal. Trends Plant Sci 15:219–226
Craine JM, Froehle J, Tilman DG, Wedin DA, Chapin FS (2001) The relationships among root and leaf traits of 76 grassland species and relative abundance along fertility and disturbance gradients. Oikos 93:274–285
de Dorlodot S, Forster B, Pagès L, Price A, Tuberosa R, Draye X (2007) Root system architecture: opportunities and constraints for genetic improvement of crops. Trends Plant Sci 12:474–481
Diggle AJ (1988) ROOTMAP—a model in three-dimensional co-ordinates of the growth and structure of fibrous root systems. Plant Soil 105:169–178
Dowell DR, Ryan O, Jansen A, Cheung D, Agarwala S, Danford T, Bernstein DA, Rolfe PA, Heisler LE, Chin B, Nislow C, Giaever G, Phillips PC, Fink GR, Gifford DK, Boone C (2010) Genotype to phenotype: a complex problem. Science 328(5977):469
Dunbabin VM (2007) Simulating the role of rooting traits in crop-weed competition. Field Crop Res 104:44–51
Dunbabin VM, Diggle AJ, Rengel Z, van Hugten R (2002) Modelling the interactions between water and nutrient uptake and root growth. Plant Soil 239:19–38
Elfadl E, Reinbrecht C, Claupein W (2010) Evaluation of phenotypic variation in a worldwide germplasm collection of safflower (Carthamus tinctorius L) grown under organic farming conditions in Germany. Genet Resour Crop Ev 57:155–170
Erskine W, Adham Y, Holly L (1989) Geographic distribution of variation in quantitative traits in a world lentil collection. Euphytica 43:97–103
Evans JR (1989) Photosynthesis and nitrogen relationships in leaves of C-3 plants. Oecologia 78:9–19
Gewin V (2010) An underground revolution. Nature 466:552–553
Gladstones JS, Crosbie GB (1979) Lupin wild types introduced into Western Australia to 1973. Western Australian Dept Agric Tech Bull No 43
Gregory PJ (2006) Plant roots: their growth, activity and interactions with soil. Blackwell Scientific Publications, Oxford
Gregory PJ, Bengough AG, Grinev D, Schmidt S, Thomas WTB, Wojciechowski T, Young M (2009) Root phenomics of crops:opportunities and challenges. Funct Plant Biol 36:922–929
Hunt R (1990) Basic growth analysis. Unwin Hyman Ltd, London
Jolliffe IT (2002) Principal component analysis, 2nd edn. Springer, New York
Kembel SW, De Kroon H, Cahill JF, Mommer L (2008) Improving the scale and precision of hypotheses to explain root foraging ability. Ann Bot 101:1295–1301
Lambers H, Raven JA, Shaver GR, Smith SE (2008) Plant nutrient–acquisition strategies change with soil age. Trends Ecol Evol 23:95–103
Linkohr BI, Williamson LC, Fitter AH, Leyser HO (2002) Nitrate and phosphate availability and distribution have different effects on root system architecture of Arabidopsis. Plant J 29:751–760
Lynch J (1995) Root architecture and plant productivity. Plant Physoil 109:7–13
Lynch J, Nielsen K, Davis R, Jablokow A (1997) Simroot: modeling and visualization of botanical root systems. Plant Soil 188:139–151
Manske GGB, Ortiz-Monasterio JI, Ginkel MV, González RM, Rajaram S, Molina E, Vlek PLG (2000) Traits associated with improved P-uptake efficiency in CIMMYT’s semi-dwarf spring bread wheat grown on an acid Andisol in Mexico. Plant Soil 221:189–204
McCormick KM, Norton RM, Eagles HA (2009) Phenotypic variation within a fenugreek (Trigonella foenum–graecum L) germplasm collection II cultivar selection based on traits associated with seed yield. Genet Resour Crop Ev 56:651–661
Nibau C, Gibbs DJ, Coates JC (2008) Branching out in new directions: the control of root architecture by lateral root formation. New Phytol 179:595–614
Ochoa IE, Blair MW, Lynch JP (2006) QTL analysis of adventitious root formation in common bean (Phaseolus vulgaris L.) under contrasting phosphorus availability. Crop Sci 46:1609–1621
Pagès L, Vercambre G, Drouet J-L, Lecompte F, Collet C, Le Bot J (2004) Root Typ: a generic model to depict and analyse the root system architecture. Plant Soil 258:103–119
Palta JA, Watt M (2009) Vigorous crop root systems: form and function for improving the capture of water and nutrients. In: Sadras VO, Calderini DF (eds) Applied crop physiology: boundaries between genetic improvement and agronomy. Academic, San Diego, pp 309–325
Palta JA, Turner NC, French RJ (2004) The yield performance of lupin genotypes under terminal drought in a Mediterranean-type environment. Aus J Agr Res 55:449–459
Peeters JP, Martinelli JA (1989) Hierarchical cluster analysis as a tool to manage variation in germplasm collections. Theor Appl Genet 78:42–48
Postma J, Lynch JP (2011) Theoretical evidence for the functional benefit of root cortical aerenchyma in soils with low phosphorus availability. Ann Bot 107:829–841
Rengel Z (2005) Breeding crops for adaptation to environments with low nutrient availability. In: Ashraf M, Harris PJC (eds) Abiotic stresses: plant resistance through breeding and molecular approaches. The Haworth, New York, pp 239–276
Rengel Z, Damon PM (2008) Crops and genotypes differ in efficiency of potassium uptake and use. Physiol Plantarum 133:624–636
Robinson D (1994) The responses of plants to non-uniform supplies of nutrients. New Phytol 127:635–674
Romesburg C (2004) Cluster analysis for researchers. Lulu Press Ltd, Morrisville
Rose TJ, Rengel Z, Ma Q, Bowden JW (2009) Crop species differ in root plasticity response to localised P supply. J Plant Nutr Soil Sci 172:360–368
Roumet C, Urcelay C, Díaz S (2006) Suites of root traits differ between annual and perennial species growing in the field. New Phytol 170:357–368
Scheible W, González-Fontes A, Lauerer M, MÜller-Röber B, Caboche M, Stitta M (1997) Nitrate acts as a signal to induce organic acid metabolism and repress starch metabolism in tobacco. Plant Cell 9:783–798
Scheiner SM (1993) Genetics and evolution of phenotypic plasticity. Annu Rev Ecol Syst 24:35–68
Simpson MJS (1986) Geographical variation in Lupinus albus L. II. Northwest Spain, the Nile Valley, the Balkans and Turkey. Plant Breed 96:241–251
Tabachnik BG, Fidell LS (1996) Using multivariate statistics. Harper Collins, New York
Tang C, Robson AD (1998) Correlation between soil pH of collection site and the tolerance of wild genotypes of Lupinus angustifolius L to neutral pH. Aust J Exp Agr 38:355–362
Walk TC, Jaramillo R, Lynch JP (2006) Architectural tradeoffs between adventitious and basal roots for phosphorus acquisition. Plant Soil 279:347–366
Wolko B, Clements JC, Naganowska B, Nelson MN, Yang H (2011) Lupinus. In: Kole C (ed) Wild crop relatives: genomic and breeding resources. Springer, Berlin, pp 153–206
Zhu J, Zhang C, Lynch JP (2010) The utility of phenotypic plasticity of root hair length for phosphorus acquisition. Funct Plant Biol 37:313–322
Acknowledgements
This research was supported by the Australian Research Council. We acknowledge J. Clements from The University of Western Australia, and The Department of Agriculture and Food of Western Australia for providing lupin seed and collection data for this work.
Author information
Authors and Affiliations
Corresponding authors
Additional information
Responsible Editor: Hans Lambers.
Rights and permissions
About this article
Cite this article
Chen, Y.L., Dunbabin, V.M., Postma, J.A. et al. Phenotypic variability and modelling of root structure of wild Lupinus angustifolius genotypes. Plant Soil 348, 345–364 (2011). https://doi.org/10.1007/s11104-011-0939-z
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11104-011-0939-z