Critical levels and sufficiency ranges for leaf nutrient diagnosis by two methods in soybean grown in the Northeast of Brazil
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 UNESP |
Texto Completo: | http://dx.doi.org/10.36783/18069657rbcs20190125 http://hdl.handle.net/11449/197151 |
Resumo: | Establishing sufficiency ranges and critical levels of nutrients are important for a correct evaluation of plant nutrition through leaf diagnosis. This study aimed to propose critical levels and sufficiency ranges of macro and micronutrients based on leaf diagnosis of soybean plants. The database used was generated from 86 samples of the third trifoliate leaf without petiole, collected during the flowering stage from soybean plants of the main cultivars used in the states of Piaui and Maranhao, Northeast region of Brazil. The results of macro and micronutrients and grain yield were used to calculate the critical level by the reduced normal distribution and boundary line methods, the latter was also used to generate the sufficiency ranges. Nutrient levels for 90 % maximum grain yield were considered for the critical level by the reduced normal distribution, and nutrient levels at the upper line of a dispersion diagram were considered for the boundary line method, using the relation between grain yield and nutrient concentration to generate sufficiency ranges for 95 and 99 % maximum grain yields. The critical levels generated by the boundary line method presented a larger number of deficient samples than the reduced normal distribution method, except for boron. The sufficiency ranges generated by the boundary line with 95 % of the maximum grain yield could not diagnose nutrient deficiency, except for copper. The critical levels by the reduced normal distribution and boundary line methods for leaf diagnosis of soybean were 40.2 and 42.1 g kg(-1), 3.2 and 3.4 g kg(-1), 17.6 and 19.5 g kg(-1), 8.7 and 10.3 g kg(-1), 4.7 and 4.9 g kg(-1), 2.1 and 2.4 g kg(-1), 44 and 44 mg kg(-1), 5 and 12 mg kg(-1), 125 and 145 mg kg(-1), 33 and 34 mg kg(-1), and 48 and 63 mg kg(-1) for N, P, K, Ca, Mg, S, B, Cu, Fe, Mn, and Zn, respectively. The critical levels by boundary line showed better distribution for leaf diagnosis for excess, deficiency, and adequate nutrient levels. The sufficiency ranges by the boundary line method for N, P, K, Ca, Mg, S, B, Cu, Fe, Mn, and Zn were 38.6-45.7 g kg(-1), 3.1-3.7 g kg(-1),18.3-20.7 g k( -1), 9.4-11.3 g kg(-1), 4.4-5.3 g kg(-1), 2.1-2.7 g kg(-1), 35-53 mg kg(-1), 10-14 mg kg(-1), 131-159 mg kg(-1), 23-46 mg kg(-1), and 58-68 mg kg(-1), respectively. The reduced normal distribution and boundary line methods allowed the generation of critical levels and sufficiency ranges for leaf diagnosis of soybean. The sufficiency range generated by the boundary line with 95 % maximum grain yield showed no prevalence of diagnosis of nutrient deficiency, except for copper. |
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Critical levels and sufficiency ranges for leaf nutrient diagnosis by two methods in soybean grown in the Northeast of BrazilGlycine maxnutritional statusplant nutritionEstablishing sufficiency ranges and critical levels of nutrients are important for a correct evaluation of plant nutrition through leaf diagnosis. This study aimed to propose critical levels and sufficiency ranges of macro and micronutrients based on leaf diagnosis of soybean plants. The database used was generated from 86 samples of the third trifoliate leaf without petiole, collected during the flowering stage from soybean plants of the main cultivars used in the states of Piaui and Maranhao, Northeast region of Brazil. The results of macro and micronutrients and grain yield were used to calculate the critical level by the reduced normal distribution and boundary line methods, the latter was also used to generate the sufficiency ranges. Nutrient levels for 90 % maximum grain yield were considered for the critical level by the reduced normal distribution, and nutrient levels at the upper line of a dispersion diagram were considered for the boundary line method, using the relation between grain yield and nutrient concentration to generate sufficiency ranges for 95 and 99 % maximum grain yields. The critical levels generated by the boundary line method presented a larger number of deficient samples than the reduced normal distribution method, except for boron. The sufficiency ranges generated by the boundary line with 95 % of the maximum grain yield could not diagnose nutrient deficiency, except for copper. The critical levels by the reduced normal distribution and boundary line methods for leaf diagnosis of soybean were 40.2 and 42.1 g kg(-1), 3.2 and 3.4 g kg(-1), 17.6 and 19.5 g kg(-1), 8.7 and 10.3 g kg(-1), 4.7 and 4.9 g kg(-1), 2.1 and 2.4 g kg(-1), 44 and 44 mg kg(-1), 5 and 12 mg kg(-1), 125 and 145 mg kg(-1), 33 and 34 mg kg(-1), and 48 and 63 mg kg(-1) for N, P, K, Ca, Mg, S, B, Cu, Fe, Mn, and Zn, respectively. The critical levels by boundary line showed better distribution for leaf diagnosis for excess, deficiency, and adequate nutrient levels. The sufficiency ranges by the boundary line method for N, P, K, Ca, Mg, S, B, Cu, Fe, Mn, and Zn were 38.6-45.7 g kg(-1), 3.1-3.7 g kg(-1),18.3-20.7 g k( -1), 9.4-11.3 g kg(-1), 4.4-5.3 g kg(-1), 2.1-2.7 g kg(-1), 35-53 mg kg(-1), 10-14 mg kg(-1), 131-159 mg kg(-1), 23-46 mg kg(-1), and 58-68 mg kg(-1), respectively. The reduced normal distribution and boundary line methods allowed the generation of critical levels and sufficiency ranges for leaf diagnosis of soybean. The sufficiency range generated by the boundary line with 95 % maximum grain yield showed no prevalence of diagnosis of nutrient deficiency, except for copper.Empresa Brasileira de Pesquisa Agropecuaria (Embrapa)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Empresa Brasileira Pesquisa Agr, Embrapa Meio Norte, Teresina, Piaui, BrazilUniv Estadual Paulista, Campus Registro, Sao Paulo, BrazilUniv Fed Piaui, Ctr Ciencias Agr, Programa Posgrad Agron, Teresina, Piaui, BrazilUniv Estadual Paulista, Campus Registro, Sao Paulo, BrazilEmpresa Brasileira de Pesquisa Agropecuaria (Embrapa): 22.13.11.004.00.03CNPq: 311039/2017-0Soc Brasileira De Ciencia Do SoloEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)Universidade Estadual Paulista (Unesp)Univ Fed PiauiSouza, Henrique Antunes deMelo Jorge Vieira, Paulo Fernando deRozane, Danilo Eduardo [UNESP]Sagrilo, EdvaldoCarvalho Leite, Luiz FernandoMelo Ferreira, Ane Caroline2020-12-10T20:07:47Z2020-12-10T20:07:47Z2020-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article14application/pdfhttp://dx.doi.org/10.36783/18069657rbcs20190125Revista Brasileira De Ciencia Do Solo. Vicosa: Soc Brasileira De Ciencia Do Solo, v. 44, 14 p., 2020.0100-0683http://hdl.handle.net/11449/19715110.36783/18069657rbcs20190125S0100-06832020000100514WOS:000556206300001S0100-06832020000100514.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengRevista Brasileira De Ciencia Do Soloinfo:eu-repo/semantics/openAccess2024-05-03T13:20:08Zoai:repositorio.unesp.br:11449/197151Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:01:42.623824Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Critical levels and sufficiency ranges for leaf nutrient diagnosis by two methods in soybean grown in the Northeast of Brazil |
title |
Critical levels and sufficiency ranges for leaf nutrient diagnosis by two methods in soybean grown in the Northeast of Brazil |
spellingShingle |
Critical levels and sufficiency ranges for leaf nutrient diagnosis by two methods in soybean grown in the Northeast of Brazil Souza, Henrique Antunes de Glycine max nutritional status plant nutrition |
title_short |
Critical levels and sufficiency ranges for leaf nutrient diagnosis by two methods in soybean grown in the Northeast of Brazil |
title_full |
Critical levels and sufficiency ranges for leaf nutrient diagnosis by two methods in soybean grown in the Northeast of Brazil |
title_fullStr |
Critical levels and sufficiency ranges for leaf nutrient diagnosis by two methods in soybean grown in the Northeast of Brazil |
title_full_unstemmed |
Critical levels and sufficiency ranges for leaf nutrient diagnosis by two methods in soybean grown in the Northeast of Brazil |
title_sort |
Critical levels and sufficiency ranges for leaf nutrient diagnosis by two methods in soybean grown in the Northeast of Brazil |
author |
Souza, Henrique Antunes de |
author_facet |
Souza, Henrique Antunes de Melo Jorge Vieira, Paulo Fernando de Rozane, Danilo Eduardo [UNESP] Sagrilo, Edvaldo Carvalho Leite, Luiz Fernando Melo Ferreira, Ane Caroline |
author_role |
author |
author2 |
Melo Jorge Vieira, Paulo Fernando de Rozane, Danilo Eduardo [UNESP] Sagrilo, Edvaldo Carvalho Leite, Luiz Fernando Melo Ferreira, Ane Caroline |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA) Universidade Estadual Paulista (Unesp) Univ Fed Piaui |
dc.contributor.author.fl_str_mv |
Souza, Henrique Antunes de Melo Jorge Vieira, Paulo Fernando de Rozane, Danilo Eduardo [UNESP] Sagrilo, Edvaldo Carvalho Leite, Luiz Fernando Melo Ferreira, Ane Caroline |
dc.subject.por.fl_str_mv |
Glycine max nutritional status plant nutrition |
topic |
Glycine max nutritional status plant nutrition |
description |
Establishing sufficiency ranges and critical levels of nutrients are important for a correct evaluation of plant nutrition through leaf diagnosis. This study aimed to propose critical levels and sufficiency ranges of macro and micronutrients based on leaf diagnosis of soybean plants. The database used was generated from 86 samples of the third trifoliate leaf without petiole, collected during the flowering stage from soybean plants of the main cultivars used in the states of Piaui and Maranhao, Northeast region of Brazil. The results of macro and micronutrients and grain yield were used to calculate the critical level by the reduced normal distribution and boundary line methods, the latter was also used to generate the sufficiency ranges. Nutrient levels for 90 % maximum grain yield were considered for the critical level by the reduced normal distribution, and nutrient levels at the upper line of a dispersion diagram were considered for the boundary line method, using the relation between grain yield and nutrient concentration to generate sufficiency ranges for 95 and 99 % maximum grain yields. The critical levels generated by the boundary line method presented a larger number of deficient samples than the reduced normal distribution method, except for boron. The sufficiency ranges generated by the boundary line with 95 % of the maximum grain yield could not diagnose nutrient deficiency, except for copper. The critical levels by the reduced normal distribution and boundary line methods for leaf diagnosis of soybean were 40.2 and 42.1 g kg(-1), 3.2 and 3.4 g kg(-1), 17.6 and 19.5 g kg(-1), 8.7 and 10.3 g kg(-1), 4.7 and 4.9 g kg(-1), 2.1 and 2.4 g kg(-1), 44 and 44 mg kg(-1), 5 and 12 mg kg(-1), 125 and 145 mg kg(-1), 33 and 34 mg kg(-1), and 48 and 63 mg kg(-1) for N, P, K, Ca, Mg, S, B, Cu, Fe, Mn, and Zn, respectively. The critical levels by boundary line showed better distribution for leaf diagnosis for excess, deficiency, and adequate nutrient levels. The sufficiency ranges by the boundary line method for N, P, K, Ca, Mg, S, B, Cu, Fe, Mn, and Zn were 38.6-45.7 g kg(-1), 3.1-3.7 g kg(-1),18.3-20.7 g k( -1), 9.4-11.3 g kg(-1), 4.4-5.3 g kg(-1), 2.1-2.7 g kg(-1), 35-53 mg kg(-1), 10-14 mg kg(-1), 131-159 mg kg(-1), 23-46 mg kg(-1), and 58-68 mg kg(-1), respectively. The reduced normal distribution and boundary line methods allowed the generation of critical levels and sufficiency ranges for leaf diagnosis of soybean. The sufficiency range generated by the boundary line with 95 % maximum grain yield showed no prevalence of diagnosis of nutrient deficiency, except for copper. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-12-10T20:07:47Z 2020-12-10T20:07:47Z 2020-01-01 |
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/10.36783/18069657rbcs20190125 Revista Brasileira De Ciencia Do Solo. Vicosa: Soc Brasileira De Ciencia Do Solo, v. 44, 14 p., 2020. 0100-0683 http://hdl.handle.net/11449/197151 10.36783/18069657rbcs20190125 S0100-06832020000100514 WOS:000556206300001 S0100-06832020000100514.pdf |
url |
http://dx.doi.org/10.36783/18069657rbcs20190125 http://hdl.handle.net/11449/197151 |
identifier_str_mv |
Revista Brasileira De Ciencia Do Solo. Vicosa: Soc Brasileira De Ciencia Do Solo, v. 44, 14 p., 2020. 0100-0683 10.36783/18069657rbcs20190125 S0100-06832020000100514 WOS:000556206300001 S0100-06832020000100514.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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Revista Brasileira De Ciencia Do Solo |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
14 application/pdf |
dc.publisher.none.fl_str_mv |
Soc Brasileira De Ciencia Do Solo |
publisher.none.fl_str_mv |
Soc Brasileira De Ciencia Do Solo |
dc.source.none.fl_str_mv |
Web of Science 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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1808128741799362560 |