Item


Compositional meta-analysis of Citrus varieties in the state of São Paulo, Brazil

Brazil is the largest orange (Citrus sinensis) producer worldwide. The nutrient management oforange orchards is designed from experiments on a limited number of varieties. Thisknowledge is transferred to other varieties by diagnosing tissue nutrient composition. Nutrientdiagnostic tools are based on nutrient concentration (critical minimum value or CMV) andratio (Diagnosis and Recommendation Integrated System or DRIS) norms that disregard thecompositional nature of analytical data and the limited number of nutrient ratios that can bediagnosed independently in a given composition. The diagnosis of cationic micronutrients isalso biased by contamination from fungicides. Compositional data analysis that can avoidsuch problems has been first applied to tissue analysis of agricultural crops using centered logratios (Compositional Nutrient Diagnosis – CND-clr). The isometric log ratio (ilr)transformation is a new approach based on binary nutrient ratios and the principle oforthogonality (CND-ilr). Binary partitions can be defined and varietal nutrient profilesclassified based on positive and negative nutrient interactions and meta-analysis. We analyzed11 nutrients (N, S, P, K, Ca, Mg, B, Cu, Zn, Mn, Fe) in tissue samples across 108 orchardareas, i.e. 31 ‘Valencia’, 22 ‘Hamlin’, 20 ‘Pêra’, and 35 ‘Natal’. Nutrients were partitionedbetween macro- and micro-nutrients as well as anionic and cationic species. The effect size ofvarieties over ‘Valencia’ was quantified by the mean and standard deviation of ilr valuesacross ilr coordinates. Specific varietal nutrient profiles and ilr norms were defined. To guidecorrecting nutrient deficiencies by appropriate nutrient management, compositions can bevaried by a perturbation vector on nutrients with to the largest and most negative influence onilr differences from ilr norms until the Aitchison distance falls below critical value

Universitat de Girona. Departament d’Informàtica i Matemàtica Aplicada

Other contributions: Universitat de Girona. Departament d’Informàtica i Matemàtica Aplicada
Author: Rozanne, Danilo Eduardo
Mattos Junior, Dirceu de
Parent, Serge-Étienne
Natale, William
Parent, Léon-Étienne
Abstract: Brazil is the largest orange (Citrus sinensis) producer worldwide. The nutrient management oforange orchards is designed from experiments on a limited number of varieties. Thisknowledge is transferred to other varieties by diagnosing tissue nutrient composition. Nutrientdiagnostic tools are based on nutrient concentration (critical minimum value or CMV) andratio (Diagnosis and Recommendation Integrated System or DRIS) norms that disregard thecompositional nature of analytical data and the limited number of nutrient ratios that can bediagnosed independently in a given composition. The diagnosis of cationic micronutrients isalso biased by contamination from fungicides. Compositional data analysis that can avoidsuch problems has been first applied to tissue analysis of agricultural crops using centered logratios (Compositional Nutrient Diagnosis – CND-clr). The isometric log ratio (ilr)transformation is a new approach based on binary nutrient ratios and the principle oforthogonality (CND-ilr). Binary partitions can be defined and varietal nutrient profilesclassified based on positive and negative nutrient interactions and meta-analysis. We analyzed11 nutrients (N, S, P, K, Ca, Mg, B, Cu, Zn, Mn, Fe) in tissue samples across 108 orchardareas, i.e. 31 ‘Valencia’, 22 ‘Hamlin’, 20 ‘Pêra’, and 35 ‘Natal’. Nutrients were partitionedbetween macro- and micro-nutrients as well as anionic and cationic species. The effect size ofvarieties over ‘Valencia’ was quantified by the mean and standard deviation of ilr valuesacross ilr coordinates. Specific varietal nutrient profiles and ilr norms were defined. To guidecorrecting nutrient deficiencies by appropriate nutrient management, compositions can bevaried by a perturbation vector on nutrients with to the largest and most negative influence onilr differences from ilr norms until the Aitchison distance falls below critical value
Document access: http://hdl.handle.net/2072/273644
Language: eng
Publisher: Universitat de Girona. Departament d’Informàtica i Matemàtica Aplicada
Rights: Tots els drets reservats
Subject: Estadística matemàtica -- Congressos
Mathematical statistics -- Congresses
Anàlisi multivariable -- Congressos
Mathematical statistics -- Congresses
Ecologia -- Mètodes estadístics -- Congressos
Ecology -- Statistical methods -- Congresses
Biologia -- Mètodes estadístics -- Congressos
Biology -- Statistical methods -- Congresses
Title: Compositional meta-analysis of Citrus varieties in the state of São Paulo, Brazil
Type: info:eu-repo/semantics/conferenceObject
Repository: Recercat

Subjects

Authors


Warning: Unknown: write failed: No space left on device (28) in Unknown on line 0

Warning: Unknown: Failed to write session data (files). Please verify that the current setting of session.save_path is correct (/var/lib/php5) in Unknown on line 0