Diagnosis of the nutrient compositional space of fruit crops

Detalhes bibliográficos
Autor(a) principal: Parent,Léon-Étienne
Data de Publicação: 2011
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista brasileira de fruticultura (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-29452011000100041
Resumo: Tissue analysis is a useful tool for the nutrient management of fruit orchards. The mineral composition of diagnostic tissues expressed as nutrient concentration on a dry weight basis has long been used to assess the status of 'pure' nutrients. When nutrients are mixed and interact in plant tissues, their proportions or concentrations change relatively to each other as a result of synergism, antagonism, or neutrality, hence producing resonance within the closed space of tissue composition. Ternary diagrams and nutrient ratios are early representations of interacting nutrients in the compositional space. Dual and multiple interactions were integrated by the Diagnosis and Recommendation Integrated System (DRIS) into nutrient indexes and by Compositional Nutrient Diagnosis into centered log ratios (CND-clr). DRIS has some computational flaws such as using a dry matter index that is not a part as well as nutrient products (e.g. NxCa) instead of ratios. DRIS and CND-clr integrate all possible nutrient interactions without defining an ad hoc interactive model. They diagnose D components while D-1 could be diagnosed in the D-compositional Hilbert space. The isometric log ratio (ilr) coordinates overcome these problems using orthonormal binary nutrient partitions instead of dual ratios. In this study, it is presented a nutrient interactive model as well as computation methods for DRIS and CND-clr and CND-ilr coordinates (CND-ilr) using leaf analytical data from an experimental apple orchard in Southwestern Quebec, Canada. It was computed the Aitchison and Mahalanobis distances across ilr coordinates as measures of nutrient imbalance. The effect of changing nutrient concentrations on ilr coordinates are simulated to identify the ones contributing the most to nutrient imbalance.
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spelling Diagnosis of the nutrient compositional space of fruit cropsDiagnosis and Recommendation Integrated System (DRIS)Compositional Nutrient Diagnosis (CND)centred log ratio (CND-clr)isometric log ratio (CND-ilr)Aitchison distanceMahalanobis distanceTissue analysis is a useful tool for the nutrient management of fruit orchards. The mineral composition of diagnostic tissues expressed as nutrient concentration on a dry weight basis has long been used to assess the status of 'pure' nutrients. When nutrients are mixed and interact in plant tissues, their proportions or concentrations change relatively to each other as a result of synergism, antagonism, or neutrality, hence producing resonance within the closed space of tissue composition. Ternary diagrams and nutrient ratios are early representations of interacting nutrients in the compositional space. Dual and multiple interactions were integrated by the Diagnosis and Recommendation Integrated System (DRIS) into nutrient indexes and by Compositional Nutrient Diagnosis into centered log ratios (CND-clr). DRIS has some computational flaws such as using a dry matter index that is not a part as well as nutrient products (e.g. NxCa) instead of ratios. DRIS and CND-clr integrate all possible nutrient interactions without defining an ad hoc interactive model. They diagnose D components while D-1 could be diagnosed in the D-compositional Hilbert space. The isometric log ratio (ilr) coordinates overcome these problems using orthonormal binary nutrient partitions instead of dual ratios. In this study, it is presented a nutrient interactive model as well as computation methods for DRIS and CND-clr and CND-ilr coordinates (CND-ilr) using leaf analytical data from an experimental apple orchard in Southwestern Quebec, Canada. It was computed the Aitchison and Mahalanobis distances across ilr coordinates as measures of nutrient imbalance. The effect of changing nutrient concentrations on ilr coordinates are simulated to identify the ones contributing the most to nutrient imbalance.Sociedade Brasileira de Fruticultura2011-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-29452011000100041Revista Brasileira de Fruticultura v.33 n.1 2011reponame:Revista brasileira de fruticultura (Online)instname:Sociedade Brasileira de Fruticultura (SBF)instacron:SBFRU10.1590/S0100-29452011000100041info:eu-repo/semantics/openAccessParent,Léon-Étienneeng2011-08-22T00:00:00Zoai:scielo:S0100-29452011000100041Revistahttp://www.scielo.br/rbfhttps://old.scielo.br/oai/scielo-oai.phprbf@fcav.unesp.br||http://rbf.org.br/1806-99670100-2945opendoar:2011-08-22T00:00Revista brasileira de fruticultura (Online) - Sociedade Brasileira de Fruticultura (SBF)false
dc.title.none.fl_str_mv Diagnosis of the nutrient compositional space of fruit crops
title Diagnosis of the nutrient compositional space of fruit crops
spellingShingle Diagnosis of the nutrient compositional space of fruit crops
Parent,Léon-Étienne
Diagnosis and Recommendation Integrated System (DRIS)
Compositional Nutrient Diagnosis (CND)
centred log ratio (CND-clr)
isometric log ratio (CND-ilr)
Aitchison distance
Mahalanobis distance
title_short Diagnosis of the nutrient compositional space of fruit crops
title_full Diagnosis of the nutrient compositional space of fruit crops
title_fullStr Diagnosis of the nutrient compositional space of fruit crops
title_full_unstemmed Diagnosis of the nutrient compositional space of fruit crops
title_sort Diagnosis of the nutrient compositional space of fruit crops
author Parent,Léon-Étienne
author_facet Parent,Léon-Étienne
author_role author
dc.contributor.author.fl_str_mv Parent,Léon-Étienne
dc.subject.por.fl_str_mv Diagnosis and Recommendation Integrated System (DRIS)
Compositional Nutrient Diagnosis (CND)
centred log ratio (CND-clr)
isometric log ratio (CND-ilr)
Aitchison distance
Mahalanobis distance
topic Diagnosis and Recommendation Integrated System (DRIS)
Compositional Nutrient Diagnosis (CND)
centred log ratio (CND-clr)
isometric log ratio (CND-ilr)
Aitchison distance
Mahalanobis distance
description Tissue analysis is a useful tool for the nutrient management of fruit orchards. The mineral composition of diagnostic tissues expressed as nutrient concentration on a dry weight basis has long been used to assess the status of 'pure' nutrients. When nutrients are mixed and interact in plant tissues, their proportions or concentrations change relatively to each other as a result of synergism, antagonism, or neutrality, hence producing resonance within the closed space of tissue composition. Ternary diagrams and nutrient ratios are early representations of interacting nutrients in the compositional space. Dual and multiple interactions were integrated by the Diagnosis and Recommendation Integrated System (DRIS) into nutrient indexes and by Compositional Nutrient Diagnosis into centered log ratios (CND-clr). DRIS has some computational flaws such as using a dry matter index that is not a part as well as nutrient products (e.g. NxCa) instead of ratios. DRIS and CND-clr integrate all possible nutrient interactions without defining an ad hoc interactive model. They diagnose D components while D-1 could be diagnosed in the D-compositional Hilbert space. The isometric log ratio (ilr) coordinates overcome these problems using orthonormal binary nutrient partitions instead of dual ratios. In this study, it is presented a nutrient interactive model as well as computation methods for DRIS and CND-clr and CND-ilr coordinates (CND-ilr) using leaf analytical data from an experimental apple orchard in Southwestern Quebec, Canada. It was computed the Aitchison and Mahalanobis distances across ilr coordinates as measures of nutrient imbalance. The effect of changing nutrient concentrations on ilr coordinates are simulated to identify the ones contributing the most to nutrient imbalance.
publishDate 2011
dc.date.none.fl_str_mv 2011-03-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-29452011000100041
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-29452011000100041
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0100-29452011000100041
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Fruticultura
publisher.none.fl_str_mv Sociedade Brasileira de Fruticultura
dc.source.none.fl_str_mv Revista Brasileira de Fruticultura v.33 n.1 2011
reponame:Revista brasileira de fruticultura (Online)
instname:Sociedade Brasileira de Fruticultura (SBF)
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institution SBFRU
reponame_str Revista brasileira de fruticultura (Online)
collection Revista brasileira de fruticultura (Online)
repository.name.fl_str_mv Revista brasileira de fruticultura (Online) - Sociedade Brasileira de Fruticultura (SBF)
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