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Mineral Balance Plasticity of Cloudberry (Rubus chamaemorus) in Quebec-Labrador Bogs

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DOI: 10.4236/ajps.2013.47183    4,090 Downloads   5,555 Views   Citations

ABSTRACT

The ionome, or plant elemental signature, is the elemental composition of an organisms, that may vary with genotypic traits and phenotypic plasticity. Cloudberry (Rubus chamaemorus L.) is a circumboreal wild berry naturally growing in oligotrophic oceanic bogs ofQuebecandLabrador. Our objective was to relate cloudberry stand productivity to the ionomes of female ramets and explore the cause of nutrient imbalance in low-performing stands. We analyzed 13 elements in female ramets collected in 86 natural sites where crop productivity varied widely. We computed orthogonally arranged balances reflecting plant stoichiometric rules and soil biogeochemistry. Balances were expressed as isometric log ratios (ilr) between ad hoc sub-compositions. Balances were synthesized into a Mahalanobis distance optimized based on receiving operating characteristics (ROC). The critical Mahalanobis distance was found to be 5.29 for cutoff berry yield of3.8 g.m-2 with test performance of 0.88, as measured by the area under the ROC curve. Although past research on cloudberry focused mainly on the N/P ratio, this exploratory mineral balance analysis indicated that imbalance in the [P,N | S,C] and [Al | Nutrients] partitions appeared to be the factors limiting the most cloudberry productivity in the bogs. Some highly productive stands showed relatively high C fixation and K use efficiency. Due to the complexity of interactions, diagnosis should be conducted computing first a global imbalance index (Mahalanobis distance), then examining in the balance domain binary partitions departing most from reference, and finally appreciating relative shortage, sufficiency or excess of elements in the concentration domain.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

L. Parent, S. Parent, V. Hébert-Gentile, K. Naess and L. Lapointe, "Mineral Balance Plasticity of Cloudberry (Rubus chamaemorus) in Quebec-Labrador Bogs," American Journal of Plant Sciences, Vol. 4 No. 7, 2013, pp. 1508-1520. doi: 10.4236/ajps.2013.47183.

References

[1] D. E. Salt, I. Baxter and B. Lahner, “Ionomics and the Study of the Plant Ionome,” Annual Review of Plant Biology, Vol. 59, 2008, pp. 709-733. doi:10.1146/annurev.arplant.59.032607.092942
[2] M. K. Bozokalfa, B. Yagmur, H. Ilbi, D. Esiyok and S. Kavak, “Genetic Variability for Mineral Concentration of Eruca sativa L. and Diplotaxis tenuifolia L. Accessions,” Crop Breeding and Applied Biotechnology, Vol. 9, No. 4, 2009, pp. 372-381.
[3] H. M. El-Nashaar, G. M. Banowetz, S. M. Griffith, M. D. Casler and K. P. Vogel, “Genotypic Variability in Mineral Composition of Switchgrass,” Bioresource Technology, Vol. 100, No. 5, 2009, pp. 1809-1814. doi:10.1016/j.biortech.2008.09.058
[4] R. R. Brooks, “Indicator Plants for Mineral Prospecting —A Critique,” Journal of Geochemical Exploration, Vol. 12, 1979, pp. 67-78. doi:10.1016/0375-6742(79)90064-5
[5] P. C. Legittimo, L. Ducceschi and M. Martini, “Plant Species as Indicators of Geochemical Anomalies: Experiences on Ilex aquifolium (Holly),” Environmental Geology, Vol. 25, No. 2, 1995, pp. 114-118. doi:10.1007/BF00767867
[6] O. A. S. Usman and D. Omotayo, “Cassia Plant as Bioaccumulator of Trace Metals Sentivity to Lead and Manganese,” Best Journal, Vol. 4, No. 1, 2007, pp. 164-167.
[7] A. W. H. Damman, “Distribution and Movement of Elements in Ombrotrophic Peat Bogs,” Oikos, Vol. 30, 1979, pp. 480-495. doi:10.2307/3543344
[8] W. Naucke, A. L. Heathwaite, R. Eggelsmann and M. Shuch, “Mire Chemistry,” In: A. Heathwaite and K. Gottlich, Eds., Mires, Process, Exploration and Conservation, John Wiley and Sons, New York, 1990, pp. 263-309.
[9] J. Kortesharju and E. M. Rantala, “Effect of Placement Fertilization on Cloudberry (Rubus chamaemorus L.) on Unditched Bog,” Suo, Vol. 31, No. 4,1980, pp. 85-92.
[10] M. Bellemare, L. Rochefort and L. Lapointe, “Rhizome Sectioning and Fertilization Increase the Productivity of Cloudberry in Natural Peatlands,” Canadian Journal of Plant Science, Vol. 89, No. 3, 2009, pp. 521-526. doi:10.4141/CJPS08078
[11] V. Hebert-Gentile, S. K. Naess, L. E. Parent and L. Lapointe, “Organo-Mineral Fertilization in Natural Peatlands of the Quebec North-Shore, Canada: Dispersion in Soil and Effects on Cloudberry Growth and Fruit Yield,” Acta Agriculturae Scandinavica Section B: Soil Plant Science, Vol. 61, No. 1, 2011, pp. 8-17. doi:10.1080/09064710.2011.603739
[12] R. Aerts and F. S. Chapin III, “The Mineral Nutrition of Wild Plants Revisited: A Re-Evaluation of Processes and Patterns Research,” Advances in Ecological Reserach, Vol. 30, 1999, pp. 1-67. doi:10.1016/S0065-2504(08)60016-1
[13] S. Gusewell, “N:P Ratios in Terrestrial Plants: Variation and Functional Significance,” New Phytologist, Vol. 164, No. 2, 2004, pp. 243-266. doi:10.1111/j.1469-8137.2004.01192.x
[14] T. C. Marks and K. Taylor, “The Mineral Nutrient Status of Rubus chamaemorus L. in Relation to Burning and Sheep Grazing,” Journal of Applied Ecology, Vol. 9, 1972, pp. 501-511. doi:10.2307/2402448
[15] J. Agren, “Sexual Differences in Biomass and Nutrient Allocation in the Dioecious Rubus chamaemorus,” Ecology, Vol. 69, 1988, pp. 692-697. doi:10.2307/1941251
[16] S. Saebo, “The autecology of Rubus chamaemorus L. I. Phosphorus Economy of Rubus chamaemorus in an Ombrotrophic Mire,” Meldinger fra Norges Landbrukshogskole, Vol. 47, 1968, pp. 1-67.
[17] S. Saebo, “The Autecology of Rubus chamaemorus L. II. Nitrogen Economy of Rubus chamaemorus in an Ombrotrophic Mire,” Meldinger fra Norges Landbrukshogskole, Vol. 49, 1970, pp. 1-37.
[18] J. L. Walworth and M. E. Sumner, “The Diagnosis and Recommendation Integrated System (DRIS),” Advances in Soil Science, Vol. 6, 1987, pp. 149-188. doi:10.1007/978-1-4612-4682-4_4
[19] H. Marschner, “Mineral Nutrition of Higher Plants,” Academic Press, Boston, 1995, p. 889.
[20] G. G. C. da Silva, J. C. L. Neves, V. H. Alvarez V. and F. P. Leite, “Nutritional Diagnosis for Eucalypt by DRIS, M-DRIS, and CND,” Scientia Agricola, Vol. 61, No. 5, 2004, pp. 507-515. doi:10.1590/S0103-90162004000500008
[21] F. Blanco-Macias, R. Magallanes-Quintanar, R. D. Valdez-Cepeda, R. Vazquez-Alvarado, E. Olivares-Saenz, E. Gutierrez-Ornelas and J. A. Vidales-Contreras, “Comparison between CND Norms and Boundary-Line Approach Nutrient Standards: Opuntia ficus-indica L. Case,” Revista Chapingo. Serie Horticultura, Vol. 15, No. 2, pp. 217-223.
[22] H. Huang, C. X. Hu, Q. Tan, X. Hu, X. Sun and L. Bi, “Effects of Fe-EDDHA Application on Iron Chlorosis of Citrus Trees and Comparison of Evaluations on Nutrient balance with Three Approaches,” Scientia Horticulturae, Vol. 146, 2012, pp. 137-142. doi:10.1016/j.scienta.2012.08.015
[23] J. Aitchison and M. Greenacre, “Biplots of Compositional Data,” Journal of the Royal Statistical Society Series C Applied Statistics, Vol. 51, No. 4, 2002, pp. 375-392. doi:10.1111/1467-9876.00275
[24] L. E. Parent and M. Dafir, “A Theoretical Concept of Compositional Nutrient Diagnosis,” Journal of American Society for Horticultural Science, Vol. 117, 1992, pp. 239-242.
[25] J. Aitchison, “The Statistical Analysis of Compositional Data,” Chapman and Hall, London, 1986, p. 416. doi:10.1007/978-94-009-4109-0
[26] L. E. Parent, W. Natale and N. Ziadi, “Compositional Nutrient Diagnosis of Corn Using the Mahalanobis Distance as Nutrient Imbalance Index,” Canadian Journal of Soil Science, Vol. 89, No. 4, 2009, pp. 383-390. doi:10.4141/cjss08050
[27] D. A. Holland, “The Interpretation of Leaf Analysis,” Journal of Horticultural Science, Vol. 41, 1966, pp. 311-329.
[28] W. X. Han, J. Y. Fang, P. B. Reich, F. I. Woodward and Z. H. Wang, “Biogeography and Variability of Eleven Mineral Elements in Plant Leaves across Gradients of Climate, Soil and Plant Functional Type in China,” Ecology Letters, Vol. 14, No. 8, 2011, pp. 788-796. doi:10.1111/j.1461-0248.2011.01641.x
[29] E. R. Beaufils, “Diagnosis and Recommendation Integrated System (DRIS),” University of Natal, Pietermaritzburg, 1973.
[30] P. Filzmoser, K. Hron and C. Reimann, “Univariate Statistical Analysis of Environmental (Compositional) Data: Problems and Possibilities,” Science of the Total Environment, Vol. 407, No. 23, 2009, pp. 6100-6108. doi:10.1016/j.scitotenv.2009.08.008
[31] J. J. Egozcue, V. Pawlowsky-Glahn, G. Mateu-Figueras and C. Barcelo-Vidal, “Isometric Logratio Transformations for Compositional Data Analysis,” Mathematical Geology, Vol. 35, No. 3, 2003, pp. 279-300. doi:10.1023/A:1023818214614
[32] S. é. Parent, L. E. Parent, D. E. Rozane, A. Hernandes and W. Natale, “Nutrient Balance as Paradigm of Soil and Plant Chemometrics,” In: R. N. Issaka, Ed., Soil Fertility, Intech, 2012, pp. 83-114.
[33] J. J. Egozcue and V. Pawlowsky-Glahn, “Groups of Parts and Their Balances in Compositional Data Analysis,” Mathematical Geology, Vol. 37, No. 7, 2005, pp. 795-828. doi:10.1007/s11004-005-7381-9
[34] L. E. Parent, “Diagnosis of the Nutrient Compositional Space of Fruit Crops,” Revista Brasileira de Fruticultura, Vol. 33, No. 1, 2011, pp. 321-334. doi:10.1590/S0100-29452011000100041
[35] L. E. Parent, S. é. Parent, D. E. Rozane, D. A. Amorim, A. Hernandes and W. Natale, “Unbiased Approach to Diagnose the Nutrient Status of Red Guava (Psidium guajava),” In: Acta Horticulturae (ISHS): III International Symposium on Guava and other Myrtaceae, Petrolina, 2012.
[36] S. Marchand, S. é. Parent, J. P. Deland and L. E. Parent, “Nutrient Signature of Quebec (Canada) Cranberry (Vaccinium macrocarpon Ait.),” Revista Brasileira de Fruticultura, Vol. 35, No. 1, 2013 (in press).
[37] S.-é. Parent, L. E. Parent, J. J. Egozcue, D.-E. Rozane, A. Hernandes, L. Lapointe, V. Hébert-Gentile, K. Naess, S. Marchand, J. Lafond, D. Mattos, P. Barlow and W. Natale, “The Plant Ionome Revisited by the Nutrient Balance Concept,” Frontiers in Plant Science, Vol. 4, 2013, p. 39. doi:10.3389/fpls.2013.00039
[38] J. Beaulieu, B. Otrysko and L. Lapointe, “Note Sur l’Histoire Naturelle de la Chicoute (Rubus Chamemorus L.),” Naturaliste Canadien, Vol. 125, No. 2, 2001, pp. 17-21.
[39] R. Barnhisel and P. M. Bertsch, “Digestion with Perchloric and Nitric Acids,” In: A. Page, Ed., Methods of Soil Analysis, American Society of Agronomy, Madison, 1982, pp. 279-280.
[40] G. R. Rout, S. Samantaray and P. Das, “Aluminium Toxicity in Plants: A Review,” Agronomie, Vol. 21, No. 1, 2001, pp. 3-21. doi:10.1051/agro:2001105
[41] E. Malavolta, “Manual de Nutricao de Plantas,” Sao Paulo, Brazil, 2006.
[42] I. Loladze and J. J. Elser, “The Origins of the Redfield Nitrogen-to-Phosphorus Ratio Are in a Homoeostatic Protein-to-rRNA Ratio,” Ecology Letters, Vol. 14, No. 3, 2011, pp. 244-250. doi:10.1111/j.1461-0248.2010.01577.x
[43] F. J. Stevenson, “Cycles of Soil: Carbon, Nitrogen, Phosphorus, Sulfur, Micronutrients,” Wiley Interscience, New York, 1986.
[44] M. C. Rabenhorst and D. Swanson, “Histosols,” In: M. Sumner, Ed., Handbook of Soil Science, CRC Press, Boca Raton, 2000, pp. E183-E209.
[45] C. Urquhart and A. J. P. Gore, “The Redox Characteristics of Four Peat Profiles,” Soil Biology and Biochemistry, Vol. 5, No. 5, 1973, pp. 659-672. doi:10.1016/0038-0717(73)90056-4
[46] J. A. Swets, “Measuring the Accuracy of Diagnostic Systems,” Science, Vol. 240, No. 4857, 1988, pp. 1285-1293. doi:10.1126/science.3287615
[47] I. R. Baxter, O. Vitek, B. Lahner, B. Muthukumar, M. Borghi, J. Morrissey, M. L. Guerinot and D. E. Salt, “The Leaf Ionome as a Multivariable System to Detect a Plant’s Physiological Status,” Proceedings of the National Academy of Sciences of the United States of America, Vol. 105, No. 33, 2008, pp. 12081-12086. doi:10.1073/pnas.0804175105
[48] W. J. Youden, “Index for Rating Diagnostic Tests,” Cancer, Vol. 3, No. 1, 1950, pp. 32-35. doi:10.1002/1097-0142(1950)3:1<32::AID-CNCR2820030106>3.0.CO;2-3
[49] R. D. C. Team, “R: A Language and Environment for Statistical Computing,” In: R. T. D. Core, Ed., Foundation for Statistical Computing, 2011.
[50] K. G. van den Boogaart, R. Tolosana-Delgado and M. Bren, “‘Compositions’: Compositional Data Analysis in R Package, R Package Version 1.30.1,” 2013.
[51] J. A. Martin-Fernandez, J. Palarea-Albaladejo and R. A. Olea, “Dealing with Zeroes,” In: V. Pawlowsky-Glahn and A. Buccianti, Eds., Compositional Data Analysis: Theory and Applications, John Wiley and Sons, New York, 2011, pp. 43-58.
[52] B. Ripley, B. Venables and K. Hornik, “Support Functions and Datasets for Venables and Ripley’s MASS, R Package Version 7.3-23,” 2013.
[53] J. A. Hanley, “The Robustness of the ‘Binormal’ Assumptions Used in Fitting ROC Curves,” Medical Decision Making, Vol. 8, No. 3, 1988, pp. 197-203. doi:10.1177/0272989X8800800308
[54] V. F. Yudina, “Phenological Development and Yields of Cloudberry (Rubus chamaemorus) in Karelia, Russia,” Acta Botanica Fennica, Vol. 149, 1993, pp. 7-10.
[55] J. Kortesharju, “Effects of Frost on the Female Flowers, Unripe Fruits and Vegetative Growth of the Cloudberry (Rubus chamaemorus) in Finnish Lapland,” Aquilo Serie Botanica, Vol. 35, 1995, pp. 31-38.
[56] K. Rapp and K. Steenberg, “Studies of Phosphorus Uptake from Different Depths in Cloudberry Mires Using P32-Labelled Fertilizer,” Acta Agricultura Scandinavica, Vol. 27, No. 4, 1977, pp. 319-325. doi:10.1080/00015127709435145
[57] J. Kortesharju, “Cloudberry Yields and Factors Affecting the Yield in Northern Finland,” Acta Botanica Fennica, Vol. 136, 1988, pp. 77-80.
[58] K. Rapp, “Cloudberry Growers Guide,” Tromso, 2004.
[59] F. Vardar and M. Unal, “Aluminum Toxicity and Resistance in Higher Plants,” Advances in Molecular Biology, Vol. 1, 2007, pp. 1-12.
[60] W. Bergmann, “Ernahrungsstorungen bei Kulturpflanzen,” G. F. Verlag, Ed., 1986, p. 614.
[61] G. Théroux, L. Rochefort and L. Lapointe, “Cloudberry Cultivation in Cutover Peatlands: Hydrological and Soil Physical Impacts on the Growth of Different Clones and Cultivars,” Mires and Peat, Vol. 5, No. 6, 2009, pp. 1-16.

  
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