Efficiency of critical level and compositional nutrient diagnosis methods to evaluate boron nutritional status in soybean
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/10.4067/S0718-58392022000200309 http://hdl.handle.net/11449/240193 |
Resumo: | The efficiency of the boron (B) nutritional status in soybean (Glycine max (L.) Merr.) was evaluated by degree of agreement (DA) indicators using different diagnostic methods and by prescient diagnostic analysis (PDA). The objective of this study was to evaluate the efficiency of two interpretation methods of B nutritional status in soybean, that is, compositional nutrient diagnosis (CND) and critical level (CL). An experimental trial was conducted using a randomized block design with five replicates, which evaluated foliar B application rates of 0, 300, 600, 1200, and 1800 g ha-1. Another study consisted of monitoring 140 commercial farms. We sampled leaves to determine nutrient contents and estimate yield in both studies. All samples were diagnosed by CND and CL methods. A reference value in the literature was obtained by the reduced normal distribution and CL methods by field calibration in the experimental trial. All the methods showed a high DA between diagnoses; the efficiency ratio and accuracy for true deficiency were both low, except for the CL method by field calibration, which exhibited an increase in positive net yield. The DA was ineffective to validate the efficiency of nutritional diagnoses; methods with a higher DA showed negative values for the net increase in production (-46 to-53 kg ha-1). The CL method by field calibration showed greater efficiency in assessing the nutritional status of B in foliar fertilized soybean because the net increase in production was 197 kg ha-1. |
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Efficiency of critical level and compositional nutrient diagnosis methods to evaluate boron nutritional status in soybeanBoron fertilizationfoliar fertilizerGlycine maxleaf diagnosisplant nutritionThe efficiency of the boron (B) nutritional status in soybean (Glycine max (L.) Merr.) was evaluated by degree of agreement (DA) indicators using different diagnostic methods and by prescient diagnostic analysis (PDA). The objective of this study was to evaluate the efficiency of two interpretation methods of B nutritional status in soybean, that is, compositional nutrient diagnosis (CND) and critical level (CL). An experimental trial was conducted using a randomized block design with five replicates, which evaluated foliar B application rates of 0, 300, 600, 1200, and 1800 g ha-1. Another study consisted of monitoring 140 commercial farms. We sampled leaves to determine nutrient contents and estimate yield in both studies. All samples were diagnosed by CND and CL methods. A reference value in the literature was obtained by the reduced normal distribution and CL methods by field calibration in the experimental trial. All the methods showed a high DA between diagnoses; the efficiency ratio and accuracy for true deficiency were both low, except for the CL method by field calibration, which exhibited an increase in positive net yield. The DA was ineffective to validate the efficiency of nutritional diagnoses; methods with a higher DA showed negative values for the net increase in production (-46 to-53 kg ha-1). The CL method by field calibration showed greater efficiency in assessing the nutritional status of B in foliar fertilized soybean because the net increase in production was 197 kg ha-1.Universidade Estadual Paulista Faculdade de Ciências Agrárias e Veterinárias, Campus Jaboticabal, Vila Industrial, São PauloEmpresa Brasileira de Pesquisa Agropecuária Embrapa-Rondônia, Rodovia BR-364, km 5,5, RondôniaUniversidade Federal de Mato Grosso do Sul, Campus de Chapadão do Sul, Rodovia MS-306, km 105, Zona Rural, Mato Grosso do SulEmpresa Brasileira de Pesquisa Agropecuária Embrapa-Solos, Rua Jardim Botânico, 1024-Jardim BotânicoUniversidade Estadual Paulista Faculdade de Ciências Agrárias e Veterinárias, Campus Jaboticabal, Vila Industrial, São PauloUniversidade Estadual Paulista (UNESP)Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)Universidade Federal de Mato Grosso do Sul (UFMS)Traspadini, Edilaine I. F. [UNESP]Wadt, Paulo G. S.Mello-Prado, Renato de [UNESP]Garcia-Roque, CassianoRoberto-Wassolowski, CarlosVidal-Perez, Daniel2023-03-01T20:05:52Z2023-03-01T20:05:52Z2022-06-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article309-319http://dx.doi.org/10.4067/S0718-58392022000200309Chilean Journal of Agricultural Research, v. 82, n. 2, p. 309-319, 2022.0718-58390718-5820http://hdl.handle.net/11449/24019310.4067/S0718-583920220002003092-s2.0-85131432195Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengChilean Journal of Agricultural Researchinfo:eu-repo/semantics/openAccess2023-03-01T20:05:52Zoai:repositorio.unesp.br:11449/240193Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T20:14:48.138907Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Efficiency of critical level and compositional nutrient diagnosis methods to evaluate boron nutritional status in soybean |
title |
Efficiency of critical level and compositional nutrient diagnosis methods to evaluate boron nutritional status in soybean |
spellingShingle |
Efficiency of critical level and compositional nutrient diagnosis methods to evaluate boron nutritional status in soybean Traspadini, Edilaine I. F. [UNESP] Boron fertilization foliar fertilizer Glycine max leaf diagnosis plant nutrition |
title_short |
Efficiency of critical level and compositional nutrient diagnosis methods to evaluate boron nutritional status in soybean |
title_full |
Efficiency of critical level and compositional nutrient diagnosis methods to evaluate boron nutritional status in soybean |
title_fullStr |
Efficiency of critical level and compositional nutrient diagnosis methods to evaluate boron nutritional status in soybean |
title_full_unstemmed |
Efficiency of critical level and compositional nutrient diagnosis methods to evaluate boron nutritional status in soybean |
title_sort |
Efficiency of critical level and compositional nutrient diagnosis methods to evaluate boron nutritional status in soybean |
author |
Traspadini, Edilaine I. F. [UNESP] |
author_facet |
Traspadini, Edilaine I. F. [UNESP] Wadt, Paulo G. S. Mello-Prado, Renato de [UNESP] Garcia-Roque, Cassiano Roberto-Wassolowski, Carlos Vidal-Perez, Daniel |
author_role |
author |
author2 |
Wadt, Paulo G. S. Mello-Prado, Renato de [UNESP] Garcia-Roque, Cassiano Roberto-Wassolowski, Carlos Vidal-Perez, Daniel |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA) Universidade Federal de Mato Grosso do Sul (UFMS) |
dc.contributor.author.fl_str_mv |
Traspadini, Edilaine I. F. [UNESP] Wadt, Paulo G. S. Mello-Prado, Renato de [UNESP] Garcia-Roque, Cassiano Roberto-Wassolowski, Carlos Vidal-Perez, Daniel |
dc.subject.por.fl_str_mv |
Boron fertilization foliar fertilizer Glycine max leaf diagnosis plant nutrition |
topic |
Boron fertilization foliar fertilizer Glycine max leaf diagnosis plant nutrition |
description |
The efficiency of the boron (B) nutritional status in soybean (Glycine max (L.) Merr.) was evaluated by degree of agreement (DA) indicators using different diagnostic methods and by prescient diagnostic analysis (PDA). The objective of this study was to evaluate the efficiency of two interpretation methods of B nutritional status in soybean, that is, compositional nutrient diagnosis (CND) and critical level (CL). An experimental trial was conducted using a randomized block design with five replicates, which evaluated foliar B application rates of 0, 300, 600, 1200, and 1800 g ha-1. Another study consisted of monitoring 140 commercial farms. We sampled leaves to determine nutrient contents and estimate yield in both studies. All samples were diagnosed by CND and CL methods. A reference value in the literature was obtained by the reduced normal distribution and CL methods by field calibration in the experimental trial. All the methods showed a high DA between diagnoses; the efficiency ratio and accuracy for true deficiency were both low, except for the CL method by field calibration, which exhibited an increase in positive net yield. The DA was ineffective to validate the efficiency of nutritional diagnoses; methods with a higher DA showed negative values for the net increase in production (-46 to-53 kg ha-1). The CL method by field calibration showed greater efficiency in assessing the nutritional status of B in foliar fertilized soybean because the net increase in production was 197 kg ha-1. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-06-01 2023-03-01T20:05:52Z 2023-03-01T20:05:52Z |
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/10.4067/S0718-58392022000200309 Chilean Journal of Agricultural Research, v. 82, n. 2, p. 309-319, 2022. 0718-5839 0718-5820 http://hdl.handle.net/11449/240193 10.4067/S0718-58392022000200309 2-s2.0-85131432195 |
url |
http://dx.doi.org/10.4067/S0718-58392022000200309 http://hdl.handle.net/11449/240193 |
identifier_str_mv |
Chilean Journal of Agricultural Research, v. 82, n. 2, p. 309-319, 2022. 0718-5839 0718-5820 10.4067/S0718-58392022000200309 2-s2.0-85131432195 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Chilean Journal of Agricultural Research |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
309-319 |
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 |
|
_version_ |
1808129178642415616 |