Establishment of nutrients optimal range for nutritional diagnosis of mandarins based on DRIS and CND methods.
Autor(a) principal: | |
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Data de Publicação: | 2018 |
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/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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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 |
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) |
instacron_str |
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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1794503467946999808 |