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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/3786
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dc.contributor.authorParent, Leon Etienne-
dc.contributor.authorNatale, William-
dc.contributor.authorZiadi, Noura-
dc.date.accessioned2014-05-20T13:17:15Z-
dc.date.accessioned2016-10-25T16:38:44Z-
dc.date.available2014-05-20T13:17:15Z-
dc.date.available2016-10-25T16:38:44Z-
dc.date.issued2009-08-01-
dc.identifier.citationCanadian Journal of Soil Science. Ottawa: Agricultural Inst Canada, v. 89, n. 4, p. 383-390, 2009.-
dc.identifier.issn0008-4271-
dc.identifier.urihttp://hdl.handle.net/11449/3786-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/3786-
dc.description.abstractParent, L. E., Natale, W. and Ziadi, N. 2009. Compositional nutrient diagnosis of corn using the Mahalanobis distance as nutrient imbalance index. Can. J. Soil Sci. 89: 383-390. Compositional nutrient diagnosis (CND) provides a plant nutrient imbalance index (CND - r(2)) with assumed chi(2) distribution. The Mahalanobis distance D(2), which detects outliers in compositional data sets, also has a chi(2) distribution. The objective of this paper was to compare D(2) and CND - r(2) nutrient imbalance indexes in corn (Zea mays L.). We measured grain yield as well as N, P, K, Ca, Mg, Cu, Fe, Mn, and Zn concentrations in the ear leaf at silk stage for 210 calibration sites in the St. Lawrence Lowlands [2300-2700 corn thermal units (CTU)] as well as 30 phosphorus (2300-2700 CTU; 10 sites) and 10 nitrogen (1900-2100 CTU; one site) replicated fertilizer treatments for validation. We derived CND norms as mean, standard deviation, and the inverse covariance matrix of centred log ratios (clr) for high yielding specimens (>= 9.0 Mg grain ha(-1) at 150 g H(2)O kg(-1) moisture content) in the 2300-2700 CTU zone. Using chi(2) = 17 (P < 0.05) with nine degrees of freedom (i.e., nine nutrients) as a rejection criterion for outliers and a yield threshold of 8.6 Mg ha(-1) after Cate-Nelson partitioning between low- and high-yielders in the P validation data set, D(2) misclassified two specimens compared with nine for CND -r(2). The D(2) classification was not significantly different from a chi(2) classification (P > 0.05), but the CND - r(2) classification differed significantly from chi(2) or D(2) (P < 0.001). A threshold value for nutrient imbalance could thus be derived probabilistically for conducting D(2) diagnosis, while the CND - r(2) nutrient imbalance threshold must be calibrated using fertilizer trials. In the proposed CND - D(2) procedure, D(2) is first computed to classify the specimen as possible outlier. Thereafter, nutrient indices are ranked in their order of limitation. The D(2) norms appeared less effective in the 1900-2100 CTU zone.en
dc.description.sponsorshipNatural Sciences and Engineering Research Council of Canada (NSERC)-
dc.format.extent383-390-
dc.language.isoeng-
dc.publisherAgricultural Inst Canada-
dc.sourceWeb of Science-
dc.subjectNutrient balanceen
dc.subjectsimplex closureen
dc.subjectvariance-covariance matrixen
dc.subjectchi(2) distributionen
dc.subjectgrain cornen
dc.subjectnitrogen and phosphorus fertilizationen
dc.titleCompositional nutrient diagnosis of corn using the Mahalanobis distance as nutrient imbalance indexen
dc.typeoutro-
dc.contributor.institutionUniv Laval-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.contributor.institutionAgr & Agri Food Canada-
dc.description.affiliationUniv Laval, Dept Soils & Agrifood Engn, Quebec City, PQ G1K 7P4, Canada-
dc.description.affiliationSão Paulo State Univ, UNESP, Dept Soils & Fertilizers, São Paulo, Brazil-
dc.description.affiliationAgr & Agri Food Canada, Soils & Crops Res & Dev Ctr, Quebec City, PQ G1V 2J3, Canada-
dc.description.affiliationUnespSão Paulo State Univ, UNESP, Dept Soils & Fertilizers, São Paulo, Brazil-
dc.description.sponsorshipIdNSERC: NSERC-DG 2254-04-
dc.identifier.wosWOS:000270489000002-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofCanadian Journal of Soil Science-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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