Nutritional relationships in bitter pit-affected fruit and the feasibility of Vis-NIR models to determine calcium concentration in Fuji apples.
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1125158 https://doi.org/10.3390/agronomy10101476 |
Resumo: | Fuji is among the most cultivated apples worldwide but affected by the disorder bitter pit (BP). Calcium deficiency plays an important role on fruit susceptibility to BP. The objectives of this study were to determine nutritional relationships in BP-affected fruit and to verify if Vis-NIR models can predict Ca concentration in Fuji apples. Fruit was harvested during 2018 season from two different orchards with historical high BP incidence. Seven hundred and fifty apples were stored at 0 ?C for 150 days plus 10 days at 20 ?C for BP assessments. After storage, 20 fruit with BP symptoms (BP+) and 20 healthy fruit (BP?) were assessed individually for mineral concentration. Vis-NIR evaluation involved a spectra range from 285 to 1200 nm to predict Ca concentration from ?Fuji? powder enriched Ca solutions. In each orchard, healthy apples had significantly higher Ca concentration than apples with BP. The K/Ca and Mg/Ca ratios were significantly lower in healthy fruit compared with BP? affected fruit. The relationship B/Ca proved to be significant in BP fruit. Although Ca interaction with organic substances and/or cellular structures could influence NIR spectra in fresh fruit, our results showed that Vis-NIR models could not be used to direct prediction of fruit Ca concentration. |
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Nutritional relationships in bitter pit-affected fruit and the feasibility of Vis-NIR models to determine calcium concentration in Fuji apples.MacieiraNutrição de plantaCultivar FugiMaçãNutrição VegetalCálcioPós-ColheitaPlant nutritionApplesCalciumBoronBitter pitPostharvest physiologyFuji is among the most cultivated apples worldwide but affected by the disorder bitter pit (BP). Calcium deficiency plays an important role on fruit susceptibility to BP. The objectives of this study were to determine nutritional relationships in BP-affected fruit and to verify if Vis-NIR models can predict Ca concentration in Fuji apples. Fruit was harvested during 2018 season from two different orchards with historical high BP incidence. Seven hundred and fifty apples were stored at 0 ?C for 150 days plus 10 days at 20 ?C for BP assessments. After storage, 20 fruit with BP symptoms (BP+) and 20 healthy fruit (BP?) were assessed individually for mineral concentration. Vis-NIR evaluation involved a spectra range from 285 to 1200 nm to predict Ca concentration from ?Fuji? powder enriched Ca solutions. In each orchard, healthy apples had significantly higher Ca concentration than apples with BP. The K/Ca and Mg/Ca ratios were significantly lower in healthy fruit compared with BP? affected fruit. The relationship B/Ca proved to be significant in BP fruit. Although Ca interaction with organic substances and/or cellular structures could influence NIR spectra in fresh fruit, our results showed that Vis-NIR models could not be used to direct prediction of fruit Ca concentration.Claudia Bonomelli, Facultad de Agronomía e Ingeniería Forestal, Pontificia Universidad Católica de Chile; René Mogollón, Facultad de Agronomía e Ingeniería Forestal, Pontificia Universidad Católica de Chile; SERGIO TONETTO DE FREITAS, CPATSA; Juan Pablo Zoffoli, Facultad de Agronomía e Ingeniería Forestal, Pontificia Universidad Católica de Chile; Carolina Contreras, Facultad de Agronomía e Ingeniería Forestal, Pontificia Universidad Católica de Chile.BONOMELLI, C.MOGOLLÓN, R.FREITAS, S. T. deZOFFOLI, J. P.CONTRERAS, C.2020-09-30T09:12:01Z2020-09-30T09:12:01Z2020-09-292020info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleAgronomy, V. 10, n. 10, 1476, set 2020.2073-4395http://www.alice.cnptia.embrapa.br/alice/handle/doc/1125158https://doi.org/10.3390/agronomy10101476enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2020-09-30T09:12:08Zoai:www.alice.cnptia.embrapa.br:doc/1125158Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542020-09-30T09:12:08falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542020-09-30T09:12:08Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Nutritional relationships in bitter pit-affected fruit and the feasibility of Vis-NIR models to determine calcium concentration in Fuji apples. |
title |
Nutritional relationships in bitter pit-affected fruit and the feasibility of Vis-NIR models to determine calcium concentration in Fuji apples. |
spellingShingle |
Nutritional relationships in bitter pit-affected fruit and the feasibility of Vis-NIR models to determine calcium concentration in Fuji apples. BONOMELLI, C. Macieira Nutrição de planta Cultivar Fugi Maçã Nutrição Vegetal Cálcio Pós-Colheita Plant nutrition Apples Calcium Boron Bitter pit Postharvest physiology |
title_short |
Nutritional relationships in bitter pit-affected fruit and the feasibility of Vis-NIR models to determine calcium concentration in Fuji apples. |
title_full |
Nutritional relationships in bitter pit-affected fruit and the feasibility of Vis-NIR models to determine calcium concentration in Fuji apples. |
title_fullStr |
Nutritional relationships in bitter pit-affected fruit and the feasibility of Vis-NIR models to determine calcium concentration in Fuji apples. |
title_full_unstemmed |
Nutritional relationships in bitter pit-affected fruit and the feasibility of Vis-NIR models to determine calcium concentration in Fuji apples. |
title_sort |
Nutritional relationships in bitter pit-affected fruit and the feasibility of Vis-NIR models to determine calcium concentration in Fuji apples. |
author |
BONOMELLI, C. |
author_facet |
BONOMELLI, C. MOGOLLÓN, R. FREITAS, S. T. de ZOFFOLI, J. P. CONTRERAS, C. |
author_role |
author |
author2 |
MOGOLLÓN, R. FREITAS, S. T. de ZOFFOLI, J. P. CONTRERAS, C. |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Claudia Bonomelli, Facultad de Agronomía e Ingeniería Forestal, Pontificia Universidad Católica de Chile; René Mogollón, Facultad de Agronomía e Ingeniería Forestal, Pontificia Universidad Católica de Chile; SERGIO TONETTO DE FREITAS, CPATSA; Juan Pablo Zoffoli, Facultad de Agronomía e Ingeniería Forestal, Pontificia Universidad Católica de Chile; Carolina Contreras, Facultad de Agronomía e Ingeniería Forestal, Pontificia Universidad Católica de Chile. |
dc.contributor.author.fl_str_mv |
BONOMELLI, C. MOGOLLÓN, R. FREITAS, S. T. de ZOFFOLI, J. P. CONTRERAS, C. |
dc.subject.por.fl_str_mv |
Macieira Nutrição de planta Cultivar Fugi Maçã Nutrição Vegetal Cálcio Pós-Colheita Plant nutrition Apples Calcium Boron Bitter pit Postharvest physiology |
topic |
Macieira Nutrição de planta Cultivar Fugi Maçã Nutrição Vegetal Cálcio Pós-Colheita Plant nutrition Apples Calcium Boron Bitter pit Postharvest physiology |
description |
Fuji is among the most cultivated apples worldwide but affected by the disorder bitter pit (BP). Calcium deficiency plays an important role on fruit susceptibility to BP. The objectives of this study were to determine nutritional relationships in BP-affected fruit and to verify if Vis-NIR models can predict Ca concentration in Fuji apples. Fruit was harvested during 2018 season from two different orchards with historical high BP incidence. Seven hundred and fifty apples were stored at 0 ?C for 150 days plus 10 days at 20 ?C for BP assessments. After storage, 20 fruit with BP symptoms (BP+) and 20 healthy fruit (BP?) were assessed individually for mineral concentration. Vis-NIR evaluation involved a spectra range from 285 to 1200 nm to predict Ca concentration from ?Fuji? powder enriched Ca solutions. In each orchard, healthy apples had significantly higher Ca concentration than apples with BP. The K/Ca and Mg/Ca ratios were significantly lower in healthy fruit compared with BP? affected fruit. The relationship B/Ca proved to be significant in BP fruit. Although Ca interaction with organic substances and/or cellular structures could influence NIR spectra in fresh fruit, our results showed that Vis-NIR models could not be used to direct prediction of fruit Ca concentration. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-09-30T09:12:01Z 2020-09-30T09:12:01Z 2020-09-29 2020 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Agronomy, V. 10, n. 10, 1476, set 2020. 2073-4395 http://www.alice.cnptia.embrapa.br/alice/handle/doc/1125158 https://doi.org/10.3390/agronomy10101476 |
identifier_str_mv |
Agronomy, V. 10, n. 10, 1476, set 2020. 2073-4395 |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1125158 https://doi.org/10.3390/agronomy10101476 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
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EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1794503495921958912 |