Nutrient signature of Quebec (Canada) cranberry (Vaccinium macrocarpon Ait.);Perfil nutritivo de atocas (Vaccinium macrocarpon Ait. - cranberry) cultivadas no Québec, Canadá

Revista Brasileira de Fruticultura

Volumn 35, Issue 1, 2013, Pages 292-304

  Marchand, Sébastien ^a   Parent, Serge Étienne ^a   Deland, Jean Pierre ^b   Parent, Léon Étienne ^a  

^a UNIVERSITÉ LAVAL   (Canada)

^b CETAQ   (Canada)

Author keywords

Aitchison distance; Compositional nutrient diagnosis (CND); Isometric log ratio (ilr); Nutrient balance ranges

Indexed keywords

VACCINIUM MACROCARPON;

EID: 84878502074     PISSN: 01002945     EISSN: None     Source Type: Journal    
DOI: 10.1590/S0100-29452013000100034     Document Type: Article

References (27)

1. AERTS, R.; CHAPIN, F.S. The mineral nutrition of wild plants revisited: a re-evaluation of processes and patterns. Advances in Ecological Research, San Diego, v. 30, p. 1-67, 2000.
2. AITCHISON J. The Statistical Analysis of Compositional Data. Chapman and Hall, NY, 1986.
3. BATES, T.E. Factors affecting critical nutrient concentrations in plants and their evaluation: a review. Soil Science, Baltimore, v. 112, p. 116-130, 1971.
4. CHAPLIN, M.H.; MARTIN, L.W. Seasonal changes in leaf element content of cranberry, Vaccinium macrocarpon Ait. Communications in Soil Science and Plant Analysis, New York, v. 10, p. 895-902, 1979.
5. CONN, S. J.; GILLIHAM, M. Comparative physiology of elemental distributions in plants. Annals of Botany, London, v. 105, p. 1081-1102, 2010.
6. DAVENPORT, J.; DEMORANVILLE, C.; HART, J.; PATTEN, K.; PETERSON, L.; PLANER, T.; POOLE, A.; ROPER, T.; SMITH, J. Cranberry tissue testing for producing beds in North America. Oregon: Oregon State University, 1995. 4 p.
7. DAVENPORT, J.; PROVOST, J. Cranberry tissue nutrient levels as impacted by three levels of nitrogen fertilizer and their relationship to fruit yield and quality. Communications in Soil Science and Plant Analysis, New York, v. 17, p. 1625-1634, 1994.
8. DEMORANVILLE, C.; DEUBERT, K. Seasonal patterns of nitrogen, phosphorus, potassium, calcium and magnesium in the leaves of the Massachusetts cranberry. Communications in Soil Science and Plant Analysis, New York, v. 17, p. 869-884, 1986.
9. EGOZCUE J.J.; Pawlowsky-Glahn, V. Simplicial geometry for compositional data. In: BUCCIANTI A.; MATEU-FIGUERAS, G.; PAWLOWSKY-GLAHN, V. (Ed.). Compositional data analysis in the geosciences: from theory to practice. London: Geological Society, 2006, p. 145-159. (Special Publication, 264)
10. EGOZCUE, J. J.; Pawlowsky-Glahn, V. Groups of parts and their balances in compositional data analysis. Mathematical Geosciences, Heidelberg, v. 37, p. 795-828, 2005.
11. HAN, W.X.; FANG, J.Y.; REICH, P.B.; WOODWARD, F.I.; WANG, Z.H. Biogeography and variability of eleven mineral elements in plant leaves across gradients of climate, soil and plant functional type in China. Ecology Letters, Davis, v. 14, p.788-796, 2011.
12. rd ed. Madison: Soil Science Society of America Book, 1990. p. 389-427.
13. LAHNER, B.; GONG, J.; MAHMOUDIAN, M.; SMITH, E.L.; ABID, K.B.; ROGERS, E.E.; GUERINOT, M.L.; HARPER, J.F.; WARD, J.M.; MCINTYRE, L. Genomic scale profiling of nutrient and trace elements in Arabidopsis thaliana. Nature Biotechnology, New York, v. 21, p. 1215-1221, 2003.
14. LOCKHART, C. L. and LANGILLE, W. M. The mineral content of lowbush blueberry. Canadian Plant Disease Survey, Saskatchewan, v.42, p.124-128, 1962.
15. MALAVOLTA, E. Manual de nutrição de plantas. Piracicaba: Ceres, 2006.
16. Marschner, H. Mineral nutrition of higher plants. New York: Academic Press, 1995.
17. NELSON, L. A.; ANDERSON, R. L. Partitioning of soil test-crop response probability. In: STELLY, M. (Ed.). Soil testing: correlating and interpreting the analytical results. Madison: American Society of Agronomy, 1984. p.19-38. (Special Publicat{stroke}ion, 29).
18. PARENT, L.E. Diagnosis of the nutrient compositional space of fruit crops. Revista Brasileira Fruticultura, Jaboticabal, v. 33, p. 321-334, 2011.
19. PARENT, L.E.; MARCHAND, S. Response to phosphorus of cranberry on high phosphorus testing acid sandy soils. Soil Science Society of America Journal, Madison, v. 70, p. 1914-1921, 2006.
20. PARENT, L. E.; DAFIR, M. A theoretical concept of compositional nutrient diagnosis. Journal of the American Society for Horticultural Science, Alexandria, v.117, p. 239-242, 1992.
21. R DEVELOPMENT CORE TEAM. R: a language and environment for statistical computing. Viena: R Foundation for Statistical Computing. Disponível: .
22. ROPER, T. How much potassium is needed? Wisconsin: Cranberry School Proceedings, 2010. v. 18, p. 23-26.
23. ROPER, T. Taking and interpreting soil and tissue samples. Wisconsin: Cranberry School, 2001. v.11, p.16-23.
24. ROPER, T. The physiology of cranberry yield. 2006. Disponível em: .
25. ROPER, T.R.; VORSA, N. Cranberry: botany and horticulture. Horticultural Review, New York, v. 21, p. 215-249, 1997.
26. WALWORTH, J. L.; SUMNER, M.E. The Diagnosis and Recommendation Integrated System (DRIS). Advances in Soil Science, New York, v. 6, p. 149-188, 1987.
27. YARBOROUGH, D.; HEDSTROM, W.; HARKER, J. Cranberry culture. In: LEIBY, J.D. (Ed.). Cranberry agriculture in Maine: a growers guide. Orono: Universtiy Maine, 1993.