Applicability of DRIS in bananas based on the accuracy of nutritional diagnoses for nitrogen and potassium
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1038/s41598-022-22554-w http://hdl.handle.net/11449/246190 |
Resumo: | DRIS (Diagnosis Recommendation Integrated System) is a tool used in the interpretation of leaf analyses that values the balance of nutrients, an important fact for a better assessment of the nutritional status of banana plants. Its usefulness depends on the ability to identify the nutrients that limit productivity in order to correct possible nutritional imbalances, but there is a lack of research in all crops, including bananas, to assess the accuracy of these diagnoses, which have a worrying global implication. To this end, this study evaluates DRIS norms for banana cultivation in Ecuador and the use of accuracy measurements for nutritional diagnosis, verifying the capacity of DRIS to detect true nutritional status based on plant response. The database created here contains 233 results referring to productivity and leaf contents of N, P, K, Ca, Mg, S, Cl, Fe, Mn, Cu, B, and Zn for banana trees in 2018, 2019, and 2020. Then, a field experiment evaluated doses of nitrogen and potassium and the accuracy of DRIS norms for N and K. The results show that the DRIS of banana produced in Ecuador depends on the nutrient being variable according to the crop nutritional status. The DRIS norms for diagnosis of N and K result in an acceptable accuracy to identify only deficiencies and toxicities, respectively, indicating the need for adjustments in these standards for later use in the field. Thus, there is a need for more research aiming to adopt calibrated DRIS diagnostic norms to assess the nutritional status of bananas in Ecuador. |
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Applicability of DRIS in bananas based on the accuracy of nutritional diagnoses for nitrogen and potassiumDRIS (Diagnosis Recommendation Integrated System) is a tool used in the interpretation of leaf analyses that values the balance of nutrients, an important fact for a better assessment of the nutritional status of banana plants. Its usefulness depends on the ability to identify the nutrients that limit productivity in order to correct possible nutritional imbalances, but there is a lack of research in all crops, including bananas, to assess the accuracy of these diagnoses, which have a worrying global implication. To this end, this study evaluates DRIS norms for banana cultivation in Ecuador and the use of accuracy measurements for nutritional diagnosis, verifying the capacity of DRIS to detect true nutritional status based on plant response. The database created here contains 233 results referring to productivity and leaf contents of N, P, K, Ca, Mg, S, Cl, Fe, Mn, Cu, B, and Zn for banana trees in 2018, 2019, and 2020. Then, a field experiment evaluated doses of nitrogen and potassium and the accuracy of DRIS norms for N and K. The results show that the DRIS of banana produced in Ecuador depends on the nutrient being variable according to the crop nutritional status. The DRIS norms for diagnosis of N and K result in an acceptable accuracy to identify only deficiencies and toxicities, respectively, indicating the need for adjustments in these standards for later use in the field. Thus, there is a need for more research aiming to adopt calibrated DRIS diagnostic norms to assess the nutritional status of bananas in Ecuador.Secretaría de Educación Superior, Ciencia, Tecnología e InnovaciónDepartment of Agricultural Production Sciences São Paulo State University “Júlio de Mesquita Filho” (UNESP), SPSchool of Agricultural Sciences Technical University of Machala (UTMACH), El OroDepartment of Agronomy State University of Roraima - UERR, University Campus of RorainópolisDepartment of Plant Pathology Federal University of Viçosa (UFV), MGDepartment of Agricultural Production Sciences São Paulo State University “Júlio de Mesquita Filho” (UNESP), SPUniversidade Estadual Paulista (UNESP)Technical University of Machala (UTMACH)State University of Roraima - UERRUniversidade Federal de Viçosa (UFV)Villaseñor-Ortiz, Diego [UNESP]de Mello Prado, Renato [UNESP]Pereira da Silva, GilmaraLata-Tenesaca, Luis Felipe2023-07-29T12:34:09Z2023-07-29T12:34:09Z2022-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1038/s41598-022-22554-wScientific Reports, v. 12, n. 1, 2022.2045-2322http://hdl.handle.net/11449/24619010.1038/s41598-022-22554-w2-s2.0-85140863413Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengScientific Reportsinfo:eu-repo/semantics/openAccess2023-07-29T12:34:09Zoai:repositorio.unesp.br:11449/246190Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-07-29T12:34:09Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Applicability of DRIS in bananas based on the accuracy of nutritional diagnoses for nitrogen and potassium |
title |
Applicability of DRIS in bananas based on the accuracy of nutritional diagnoses for nitrogen and potassium |
spellingShingle |
Applicability of DRIS in bananas based on the accuracy of nutritional diagnoses for nitrogen and potassium Villaseñor-Ortiz, Diego [UNESP] |
title_short |
Applicability of DRIS in bananas based on the accuracy of nutritional diagnoses for nitrogen and potassium |
title_full |
Applicability of DRIS in bananas based on the accuracy of nutritional diagnoses for nitrogen and potassium |
title_fullStr |
Applicability of DRIS in bananas based on the accuracy of nutritional diagnoses for nitrogen and potassium |
title_full_unstemmed |
Applicability of DRIS in bananas based on the accuracy of nutritional diagnoses for nitrogen and potassium |
title_sort |
Applicability of DRIS in bananas based on the accuracy of nutritional diagnoses for nitrogen and potassium |
author |
Villaseñor-Ortiz, Diego [UNESP] |
author_facet |
Villaseñor-Ortiz, Diego [UNESP] de Mello Prado, Renato [UNESP] Pereira da Silva, Gilmara Lata-Tenesaca, Luis Felipe |
author_role |
author |
author2 |
de Mello Prado, Renato [UNESP] Pereira da Silva, Gilmara Lata-Tenesaca, Luis Felipe |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) Technical University of Machala (UTMACH) State University of Roraima - UERR Universidade Federal de Viçosa (UFV) |
dc.contributor.author.fl_str_mv |
Villaseñor-Ortiz, Diego [UNESP] de Mello Prado, Renato [UNESP] Pereira da Silva, Gilmara Lata-Tenesaca, Luis Felipe |
description |
DRIS (Diagnosis Recommendation Integrated System) is a tool used in the interpretation of leaf analyses that values the balance of nutrients, an important fact for a better assessment of the nutritional status of banana plants. Its usefulness depends on the ability to identify the nutrients that limit productivity in order to correct possible nutritional imbalances, but there is a lack of research in all crops, including bananas, to assess the accuracy of these diagnoses, which have a worrying global implication. To this end, this study evaluates DRIS norms for banana cultivation in Ecuador and the use of accuracy measurements for nutritional diagnosis, verifying the capacity of DRIS to detect true nutritional status based on plant response. The database created here contains 233 results referring to productivity and leaf contents of N, P, K, Ca, Mg, S, Cl, Fe, Mn, Cu, B, and Zn for banana trees in 2018, 2019, and 2020. Then, a field experiment evaluated doses of nitrogen and potassium and the accuracy of DRIS norms for N and K. The results show that the DRIS of banana produced in Ecuador depends on the nutrient being variable according to the crop nutritional status. The DRIS norms for diagnosis of N and K result in an acceptable accuracy to identify only deficiencies and toxicities, respectively, indicating the need for adjustments in these standards for later use in the field. Thus, there is a need for more research aiming to adopt calibrated DRIS diagnostic norms to assess the nutritional status of bananas in Ecuador. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-12-01 2023-07-29T12:34:09Z 2023-07-29T12:34:09Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1038/s41598-022-22554-w Scientific Reports, v. 12, n. 1, 2022. 2045-2322 http://hdl.handle.net/11449/246190 10.1038/s41598-022-22554-w 2-s2.0-85140863413 |
url |
http://dx.doi.org/10.1038/s41598-022-22554-w http://hdl.handle.net/11449/246190 |
identifier_str_mv |
Scientific Reports, v. 12, n. 1, 2022. 2045-2322 10.1038/s41598-022-22554-w 2-s2.0-85140863413 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Scientific Reports |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
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1803649378028617728 |