Diagnosis of the nutrient compositional space of fruit crops
Autor(a) principal: | |
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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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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) instacron:SBFRU |
instname_str |
Sociedade Brasileira de Fruticultura (SBF) |
instacron_str |
SBFRU |
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) |
repository.mail.fl_str_mv |
rbf@fcav.unesp.br||http://rbf.org.br/ |
_version_ |
1752122489212764160 |