Establishment of nutrients optimal range for nutritional diagnosis of mandarins based on DRIS and CND methods.

Detalhes bibliográficos
Autor(a) principal: LABAIEDA, M. B.
Data de Publicação: 2018
Outros Autores: SERRA, A. P., MIMOUN, M. B.
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/1102559
Resumo: The aim of this work was to establish for the first time nutrient optimal range (NOR) for mandarins in Tunisia using two methods: Diagnosis and Recommendation Integrated System (DRIS) and Compositional Nutrient Diagnosis (CND). The study was performed using data from 120 mandarin?s commercial orchards, in several locations in Tunisia. Yield data and leaf nutrient content from 2011 to 2014 cropping season were compiled in a database. Leaf samples consist of spring flush leaves (7?8 months old) collected from nonfruiting terminals. The two methods were effective to diagnose the plant nutritional status based on the effectiveness of the chi-square-tested method. The two methods showed the nutrient imbalances of the studied commercial orchards. Phosphorus (P) and iron (Fe) showed higher frequencies as the most required nutrients by the plant. The found norms were then compared to the norms used in other countries. The new norms for mandarins are different because some norms in the literature do not take into account the different species of citrus, and they were adopted in different pedoclimatic conditions. So, adopting the new leaf nutrient norms is key for ensuring productivity in mandarin citrus orchards in Tunisia.
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spelling Establishment of nutrients optimal range for nutritional diagnosis of mandarins based on DRIS and CND methods.Leaf standardSMediterranean conditionsPlant nutritionPlant micronutrientsThe aim of this work was to establish for the first time nutrient optimal range (NOR) for mandarins in Tunisia using two methods: Diagnosis and Recommendation Integrated System (DRIS) and Compositional Nutrient Diagnosis (CND). The study was performed using data from 120 mandarin?s commercial orchards, in several locations in Tunisia. Yield data and leaf nutrient content from 2011 to 2014 cropping season were compiled in a database. Leaf samples consist of spring flush leaves (7?8 months old) collected from nonfruiting terminals. The two methods were effective to diagnose the plant nutritional status based on the effectiveness of the chi-square-tested method. The two methods showed the nutrient imbalances of the studied commercial orchards. Phosphorus (P) and iron (Fe) showed higher frequencies as the most required nutrients by the plant. The found norms were then compared to the norms used in other countries. The new norms for mandarins are different because some norms in the literature do not take into account the different species of citrus, and they were adopted in different pedoclimatic conditions. So, adopting the new leaf nutrient norms is key for ensuring productivity in mandarin citrus orchards in Tunisia.Mouna Bendaly Labaieda, National Agronomic Institute of Tunisia, Carthage University; ADEMAR PEREIRA SERRA, CNPGC; Mehdi Ben Mimoun, National Agronomic Institute of Tunisia, Carthage University.LABAIEDA, M. B.SERRA, A. P.MIMOUN, M. B.2018-12-27T23:38:39Z2018-12-27T23:38:39Z2018-12-2720182019-01-09T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleCommunications in Soil Science and Plant Analysis, V. 49, N. 20, P. 2557-2570, 2018http://www.alice.cnptia.embrapa.br/alice/handle/doc/1102559enginfo: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:EMBRAPA2018-12-27T23:38:45Zoai:www.alice.cnptia.embrapa.br:doc/1102559Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542018-12-27T23:38:45falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542018-12-27T23:38:45Repositório 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 Establishment of nutrients optimal range for nutritional diagnosis of mandarins based on DRIS and CND methods.
title Establishment of nutrients optimal range for nutritional diagnosis of mandarins based on DRIS and CND methods.
spellingShingle Establishment of nutrients optimal range for nutritional diagnosis of mandarins based on DRIS and CND methods.
LABAIEDA, M. B.
Leaf standardS
Mediterranean conditions
Plant nutrition
Plant micronutrients
title_short Establishment of nutrients optimal range for nutritional diagnosis of mandarins based on DRIS and CND methods.
title_full Establishment of nutrients optimal range for nutritional diagnosis of mandarins based on DRIS and CND methods.
title_fullStr Establishment of nutrients optimal range for nutritional diagnosis of mandarins based on DRIS and CND methods.
title_full_unstemmed Establishment of nutrients optimal range for nutritional diagnosis of mandarins based on DRIS and CND methods.
title_sort Establishment of nutrients optimal range for nutritional diagnosis of mandarins based on DRIS and CND methods.
author LABAIEDA, M. B.
author_facet LABAIEDA, M. B.
SERRA, A. P.
MIMOUN, M. B.
author_role author
author2 SERRA, A. P.
MIMOUN, M. B.
author2_role author
author
dc.contributor.none.fl_str_mv Mouna Bendaly Labaieda, National Agronomic Institute of Tunisia, Carthage University; ADEMAR PEREIRA SERRA, CNPGC; Mehdi Ben Mimoun, National Agronomic Institute of Tunisia, Carthage University.
dc.contributor.author.fl_str_mv LABAIEDA, M. B.
SERRA, A. P.
MIMOUN, M. B.
dc.subject.por.fl_str_mv Leaf standardS
Mediterranean conditions
Plant nutrition
Plant micronutrients
topic Leaf standardS
Mediterranean conditions
Plant nutrition
Plant micronutrients
description The aim of this work was to establish for the first time nutrient optimal range (NOR) for mandarins in Tunisia using two methods: Diagnosis and Recommendation Integrated System (DRIS) and Compositional Nutrient Diagnosis (CND). The study was performed using data from 120 mandarin?s commercial orchards, in several locations in Tunisia. Yield data and leaf nutrient content from 2011 to 2014 cropping season were compiled in a database. Leaf samples consist of spring flush leaves (7?8 months old) collected from nonfruiting terminals. The two methods were effective to diagnose the plant nutritional status based on the effectiveness of the chi-square-tested method. The two methods showed the nutrient imbalances of the studied commercial orchards. Phosphorus (P) and iron (Fe) showed higher frequencies as the most required nutrients by the plant. The found norms were then compared to the norms used in other countries. The new norms for mandarins are different because some norms in the literature do not take into account the different species of citrus, and they were adopted in different pedoclimatic conditions. So, adopting the new leaf nutrient norms is key for ensuring productivity in mandarin citrus orchards in Tunisia.
publishDate 2018
dc.date.none.fl_str_mv 2018-12-27T23:38:39Z
2018-12-27T23:38:39Z
2018-12-27
2018
2019-01-09T11:11:11Z
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 Communications in Soil Science and Plant Analysis, V. 49, N. 20, P. 2557-2570, 2018
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1102559
identifier_str_mv Communications in Soil Science and Plant Analysis, V. 49, N. 20, P. 2557-2570, 2018
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1102559
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
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institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
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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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