Modeling sugar content of pineapple under agro-climatic conditions on Reunion Island
A process-based model simulating the change in total soluble solids (TSS (%)) in fruit flesh was developed to describe the effect of climatic conditions on the sugar content of 'Queen Victoria' pineapple at harvest on Reunion Island. Sugar content varies throughout fruit development according to three processes (the supply of carbohydrates to the fruit, fruit metabolism, and dilution) which are affected by environmental factors, mainly temperature, rainfall and fertilization. The ecophysiological model of soluble sugar accumulation was linked to SIMPIÑA, a crop model that accurately predicts the daily increases in flesh dry and fresh weight. When the process-based model and crop model were linked, the dry and fresh matter of the pineapple flesh, as affected by climatic conditions, could be used as inputs to predict the TSS (%) at harvest. The relative rate of transformation of carbon as sugars in the fruit flesh for the synthesis of compounds other than sugars was estimated during fruit growth. TSS (%) were compared for harvested fruit grown under eight agro-climatic conditions. In the flesh of fruit harvested close to maturity, i.e., at 1400 degree-days after flowering, TSS (%) were significantly related (r2 = 0.55, P < 0.001) to total soluble sugar content. The variability of TSS (%) between the eight agro-climatic groups ranged from 16.9 for pineapples grown in dry locations irrigated, under N-deficit conditions to 19.4 for pineapples grown in dry locations, without irrigation and without N deficiency. The variability of TSS (%) was substantial within each of the eight agro-climatic groups: standard deviations ranged from 0.9 to 1.5 for pineapples grown in dry locations, irrigated, without N deficiency and in dry locations, without irrigation and without N deficiency, respectively. For data from 14 experiments conducted under different climatic conditions, N fertilization, and irrigation conditions, the model predicted the TSS (%) at harvest with an RRMSE of 0.04. By linking this sugar model to the SIMPIÑA crop model, the impact of environmental conditions and cultural practices on the growth and development of pineapple are taken into account to predict the gustatory quality of pineapple grown on Reunion Island. The model could have a practical application to manage fruit quality, plan harvest, and marketing.
id |
dig-cirad-fr-578995 |
---|---|
record_format |
koha |
institution |
CIRAD FR |
collection |
DSpace |
country |
Francia |
countrycode |
FR |
component |
Bibliográfico |
access |
En linea |
databasecode |
dig-cirad-fr |
tag |
biblioteca |
region |
Europa del Oeste |
libraryname |
Biblioteca del CIRAD Francia |
language |
eng |
topic |
F60 - Physiologie et biochimie végétale Q04 - Composition des produits alimentaires U10 - Informatique, mathématiques et statistiques F04 - Fertilisation P40 - Météorologie et climatologie F06 - Irrigation Ananas comosus ananas (fruits) teneur en glucides qualité modèle mathématique modèle de simulation conditions météorologiques facteur climatique facteur du milieu pratique culturale fertilisation engrais azoté irrigation développement biologique croissance http://aims.fao.org/aos/agrovoc/c_386 http://aims.fao.org/aos/agrovoc/c_13394 http://aims.fao.org/aos/agrovoc/c_1298 http://aims.fao.org/aos/agrovoc/c_6400 http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_29565 http://aims.fao.org/aos/agrovoc/c_29554 http://aims.fao.org/aos/agrovoc/c_2594 http://aims.fao.org/aos/agrovoc/c_2018 http://aims.fao.org/aos/agrovoc/c_10795 http://aims.fao.org/aos/agrovoc/c_5195 http://aims.fao.org/aos/agrovoc/c_3954 http://aims.fao.org/aos/agrovoc/c_921 http://aims.fao.org/aos/agrovoc/c_3394 http://aims.fao.org/aos/agrovoc/c_6543 http://aims.fao.org/aos/agrovoc/c_3081 F60 - Physiologie et biochimie végétale Q04 - Composition des produits alimentaires U10 - Informatique, mathématiques et statistiques F04 - Fertilisation P40 - Météorologie et climatologie F06 - Irrigation Ananas comosus ananas (fruits) teneur en glucides qualité modèle mathématique modèle de simulation conditions météorologiques facteur climatique facteur du milieu pratique culturale fertilisation engrais azoté irrigation développement biologique croissance http://aims.fao.org/aos/agrovoc/c_386 http://aims.fao.org/aos/agrovoc/c_13394 http://aims.fao.org/aos/agrovoc/c_1298 http://aims.fao.org/aos/agrovoc/c_6400 http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_29565 http://aims.fao.org/aos/agrovoc/c_29554 http://aims.fao.org/aos/agrovoc/c_2594 http://aims.fao.org/aos/agrovoc/c_2018 http://aims.fao.org/aos/agrovoc/c_10795 http://aims.fao.org/aos/agrovoc/c_5195 http://aims.fao.org/aos/agrovoc/c_3954 http://aims.fao.org/aos/agrovoc/c_921 http://aims.fao.org/aos/agrovoc/c_3394 http://aims.fao.org/aos/agrovoc/c_6543 http://aims.fao.org/aos/agrovoc/c_3081 |
spellingShingle |
F60 - Physiologie et biochimie végétale Q04 - Composition des produits alimentaires U10 - Informatique, mathématiques et statistiques F04 - Fertilisation P40 - Météorologie et climatologie F06 - Irrigation Ananas comosus ananas (fruits) teneur en glucides qualité modèle mathématique modèle de simulation conditions météorologiques facteur climatique facteur du milieu pratique culturale fertilisation engrais azoté irrigation développement biologique croissance http://aims.fao.org/aos/agrovoc/c_386 http://aims.fao.org/aos/agrovoc/c_13394 http://aims.fao.org/aos/agrovoc/c_1298 http://aims.fao.org/aos/agrovoc/c_6400 http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_29565 http://aims.fao.org/aos/agrovoc/c_29554 http://aims.fao.org/aos/agrovoc/c_2594 http://aims.fao.org/aos/agrovoc/c_2018 http://aims.fao.org/aos/agrovoc/c_10795 http://aims.fao.org/aos/agrovoc/c_5195 http://aims.fao.org/aos/agrovoc/c_3954 http://aims.fao.org/aos/agrovoc/c_921 http://aims.fao.org/aos/agrovoc/c_3394 http://aims.fao.org/aos/agrovoc/c_6543 http://aims.fao.org/aos/agrovoc/c_3081 F60 - Physiologie et biochimie végétale Q04 - Composition des produits alimentaires U10 - Informatique, mathématiques et statistiques F04 - Fertilisation P40 - Météorologie et climatologie F06 - Irrigation Ananas comosus ananas (fruits) teneur en glucides qualité modèle mathématique modèle de simulation conditions météorologiques facteur climatique facteur du milieu pratique culturale fertilisation engrais azoté irrigation développement biologique croissance http://aims.fao.org/aos/agrovoc/c_386 http://aims.fao.org/aos/agrovoc/c_13394 http://aims.fao.org/aos/agrovoc/c_1298 http://aims.fao.org/aos/agrovoc/c_6400 http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_29565 http://aims.fao.org/aos/agrovoc/c_29554 http://aims.fao.org/aos/agrovoc/c_2594 http://aims.fao.org/aos/agrovoc/c_2018 http://aims.fao.org/aos/agrovoc/c_10795 http://aims.fao.org/aos/agrovoc/c_5195 http://aims.fao.org/aos/agrovoc/c_3954 http://aims.fao.org/aos/agrovoc/c_921 http://aims.fao.org/aos/agrovoc/c_3394 http://aims.fao.org/aos/agrovoc/c_6543 http://aims.fao.org/aos/agrovoc/c_3081 Dorey, Elodie Fournier, Patrick Lechaudel, Mathieu Tixier, Philippe Modeling sugar content of pineapple under agro-climatic conditions on Reunion Island |
description |
A process-based model simulating the change in total soluble solids (TSS (%)) in fruit flesh was developed to describe the effect of climatic conditions on the sugar content of 'Queen Victoria' pineapple at harvest on Reunion Island. Sugar content varies throughout fruit development according to three processes (the supply of carbohydrates to the fruit, fruit metabolism, and dilution) which are affected by environmental factors, mainly temperature, rainfall and fertilization. The ecophysiological model of soluble sugar accumulation was linked to SIMPIÑA, a crop model that accurately predicts the daily increases in flesh dry and fresh weight. When the process-based model and crop model were linked, the dry and fresh matter of the pineapple flesh, as affected by climatic conditions, could be used as inputs to predict the TSS (%) at harvest. The relative rate of transformation of carbon as sugars in the fruit flesh for the synthesis of compounds other than sugars was estimated during fruit growth. TSS (%) were compared for harvested fruit grown under eight agro-climatic conditions. In the flesh of fruit harvested close to maturity, i.e., at 1400 degree-days after flowering, TSS (%) were significantly related (r2 = 0.55, P < 0.001) to total soluble sugar content. The variability of TSS (%) between the eight agro-climatic groups ranged from 16.9 for pineapples grown in dry locations irrigated, under N-deficit conditions to 19.4 for pineapples grown in dry locations, without irrigation and without N deficiency. The variability of TSS (%) was substantial within each of the eight agro-climatic groups: standard deviations ranged from 0.9 to 1.5 for pineapples grown in dry locations, irrigated, without N deficiency and in dry locations, without irrigation and without N deficiency, respectively. For data from 14 experiments conducted under different climatic conditions, N fertilization, and irrigation conditions, the model predicted the TSS (%) at harvest with an RRMSE of 0.04. By linking this sugar model to the SIMPIÑA crop model, the impact of environmental conditions and cultural practices on the growth and development of pineapple are taken into account to predict the gustatory quality of pineapple grown on Reunion Island. The model could have a practical application to manage fruit quality, plan harvest, and marketing. |
format |
article |
topic_facet |
F60 - Physiologie et biochimie végétale Q04 - Composition des produits alimentaires U10 - Informatique, mathématiques et statistiques F04 - Fertilisation P40 - Météorologie et climatologie F06 - Irrigation Ananas comosus ananas (fruits) teneur en glucides qualité modèle mathématique modèle de simulation conditions météorologiques facteur climatique facteur du milieu pratique culturale fertilisation engrais azoté irrigation développement biologique croissance http://aims.fao.org/aos/agrovoc/c_386 http://aims.fao.org/aos/agrovoc/c_13394 http://aims.fao.org/aos/agrovoc/c_1298 http://aims.fao.org/aos/agrovoc/c_6400 http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_29565 http://aims.fao.org/aos/agrovoc/c_29554 http://aims.fao.org/aos/agrovoc/c_2594 http://aims.fao.org/aos/agrovoc/c_2018 http://aims.fao.org/aos/agrovoc/c_10795 http://aims.fao.org/aos/agrovoc/c_5195 http://aims.fao.org/aos/agrovoc/c_3954 http://aims.fao.org/aos/agrovoc/c_921 http://aims.fao.org/aos/agrovoc/c_3394 http://aims.fao.org/aos/agrovoc/c_6543 http://aims.fao.org/aos/agrovoc/c_3081 |
author |
Dorey, Elodie Fournier, Patrick Lechaudel, Mathieu Tixier, Philippe |
author_facet |
Dorey, Elodie Fournier, Patrick Lechaudel, Mathieu Tixier, Philippe |
author_sort |
Dorey, Elodie |
title |
Modeling sugar content of pineapple under agro-climatic conditions on Reunion Island |
title_short |
Modeling sugar content of pineapple under agro-climatic conditions on Reunion Island |
title_full |
Modeling sugar content of pineapple under agro-climatic conditions on Reunion Island |
title_fullStr |
Modeling sugar content of pineapple under agro-climatic conditions on Reunion Island |
title_full_unstemmed |
Modeling sugar content of pineapple under agro-climatic conditions on Reunion Island |
title_sort |
modeling sugar content of pineapple under agro-climatic conditions on reunion island |
url |
http://agritrop.cirad.fr/578995/ http://agritrop.cirad.fr/578995/1/EJA%20Dorey%20et%20al.%202016.pdf |
work_keys_str_mv |
AT doreyelodie modelingsugarcontentofpineappleunderagroclimaticconditionsonreunionisland AT fournierpatrick modelingsugarcontentofpineappleunderagroclimaticconditionsonreunionisland AT lechaudelmathieu modelingsugarcontentofpineappleunderagroclimaticconditionsonreunionisland AT tixierphilippe modelingsugarcontentofpineappleunderagroclimaticconditionsonreunionisland |
_version_ |
1792498967431348224 |
spelling |
dig-cirad-fr-5789952024-01-28T23:11:38Z http://agritrop.cirad.fr/578995/ http://agritrop.cirad.fr/578995/ Modeling sugar content of pineapple under agro-climatic conditions on Reunion Island. Dorey Elodie, Fournier Patrick, Lechaudel Mathieu, Tixier Philippe. 2016. European Journal of Agronomy, 73 : 64-72.https://doi.org/10.1016/j.eja.2015.10.010 <https://doi.org/10.1016/j.eja.2015.10.010> Modeling sugar content of pineapple under agro-climatic conditions on Reunion Island Dorey, Elodie Fournier, Patrick Lechaudel, Mathieu Tixier, Philippe eng 2016 European Journal of Agronomy F60 - Physiologie et biochimie végétale Q04 - Composition des produits alimentaires U10 - Informatique, mathématiques et statistiques F04 - Fertilisation P40 - Météorologie et climatologie F06 - Irrigation Ananas comosus ananas (fruits) teneur en glucides qualité modèle mathématique modèle de simulation conditions météorologiques facteur climatique facteur du milieu pratique culturale fertilisation engrais azoté irrigation développement biologique croissance http://aims.fao.org/aos/agrovoc/c_386 http://aims.fao.org/aos/agrovoc/c_13394 http://aims.fao.org/aos/agrovoc/c_1298 http://aims.fao.org/aos/agrovoc/c_6400 http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_29565 http://aims.fao.org/aos/agrovoc/c_29554 http://aims.fao.org/aos/agrovoc/c_2594 http://aims.fao.org/aos/agrovoc/c_2018 http://aims.fao.org/aos/agrovoc/c_10795 http://aims.fao.org/aos/agrovoc/c_5195 http://aims.fao.org/aos/agrovoc/c_3954 http://aims.fao.org/aos/agrovoc/c_921 http://aims.fao.org/aos/agrovoc/c_3394 La Réunion France http://aims.fao.org/aos/agrovoc/c_6543 http://aims.fao.org/aos/agrovoc/c_3081 A process-based model simulating the change in total soluble solids (TSS (%)) in fruit flesh was developed to describe the effect of climatic conditions on the sugar content of 'Queen Victoria' pineapple at harvest on Reunion Island. Sugar content varies throughout fruit development according to three processes (the supply of carbohydrates to the fruit, fruit metabolism, and dilution) which are affected by environmental factors, mainly temperature, rainfall and fertilization. The ecophysiological model of soluble sugar accumulation was linked to SIMPIÑA, a crop model that accurately predicts the daily increases in flesh dry and fresh weight. When the process-based model and crop model were linked, the dry and fresh matter of the pineapple flesh, as affected by climatic conditions, could be used as inputs to predict the TSS (%) at harvest. The relative rate of transformation of carbon as sugars in the fruit flesh for the synthesis of compounds other than sugars was estimated during fruit growth. TSS (%) were compared for harvested fruit grown under eight agro-climatic conditions. In the flesh of fruit harvested close to maturity, i.e., at 1400 degree-days after flowering, TSS (%) were significantly related (r2 = 0.55, P < 0.001) to total soluble sugar content. The variability of TSS (%) between the eight agro-climatic groups ranged from 16.9 for pineapples grown in dry locations irrigated, under N-deficit conditions to 19.4 for pineapples grown in dry locations, without irrigation and without N deficiency. The variability of TSS (%) was substantial within each of the eight agro-climatic groups: standard deviations ranged from 0.9 to 1.5 for pineapples grown in dry locations, irrigated, without N deficiency and in dry locations, without irrigation and without N deficiency, respectively. For data from 14 experiments conducted under different climatic conditions, N fertilization, and irrigation conditions, the model predicted the TSS (%) at harvest with an RRMSE of 0.04. By linking this sugar model to the SIMPIÑA crop model, the impact of environmental conditions and cultural practices on the growth and development of pineapple are taken into account to predict the gustatory quality of pineapple grown on Reunion Island. The model could have a practical application to manage fruit quality, plan harvest, and marketing. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/578995/1/EJA%20Dorey%20et%20al.%202016.pdf text Cirad license info:eu-repo/semantics/restrictedAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.1016/j.eja.2015.10.010 10.1016/j.eja.2015.10.010 info:eu-repo/semantics/altIdentifier/doi/10.1016/j.eja.2015.10.010 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1016/j.eja.2015.10.010 |