Sampling of plant in coffee for evaluation of nutritional status

Detalhes bibliográficos
Autor(a) principal: Cintra, Antonio Carlos de Oliveira
Data de Publicação: 2015
Outros Autores: Rozane, Danilo Eduardo, Natale, William, Silva, Silvia Helena Modenese Gorla da, Barbosa, José Carlos, Lopes, Marcelo Domingos Chamma
Tipo de documento: Artigo
Idioma: por
Título da fonte: Coffee Science (Online)
Texto Completo: https://coffeescience.ufla.br/index.php/Coffeescience/article/view/790
Resumo: The foliar fertilization assists programs in order to obtain higher yields, however, it is essential to know the ideal number of plants to be sampled. The study aimed to determine in commercial coffee plantations, subjected to two water regimes, the number of plants to be sampled and estimate the sample error for the diagnosis of nutritional status of that culture. The work consisted of two studies where samples of leaves were collected in rainfed and irrigated farming. For both studies the completely randomized design, with four treatments and five repetitions that consisted of leaf collection in 5, 10, 20 and 40 coffee plants per sampling unit was used. So to keep the sampling error below 10 % for the macronutrient, leaf sampling five composite samples at 10 and 20 plants per sampling unit under irrigated and rainfed conditions, respectively, is sufficient. As for the content of micronutrients collecting 20 plants in systems except Cu and Mn requiring higher sampling five composite samples of 40 plants in rainfed systems are needed.
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spelling Sampling of plant in coffee for evaluation of nutritional statusAmostragem de plantas em cafeeiro para avaliação do estado nutricionalCoffea arabicaleaf analysissample leafplant nutritionCoffea arabicadiagnose foliaramostra foliarnutrição de plantasThe foliar fertilization assists programs in order to obtain higher yields, however, it is essential to know the ideal number of plants to be sampled. The study aimed to determine in commercial coffee plantations, subjected to two water regimes, the number of plants to be sampled and estimate the sample error for the diagnosis of nutritional status of that culture. The work consisted of two studies where samples of leaves were collected in rainfed and irrigated farming. For both studies the completely randomized design, with four treatments and five repetitions that consisted of leaf collection in 5, 10, 20 and 40 coffee plants per sampling unit was used. So to keep the sampling error below 10 % for the macronutrient, leaf sampling five composite samples at 10 and 20 plants per sampling unit under irrigated and rainfed conditions, respectively, is sufficient. As for the content of micronutrients collecting 20 plants in systems except Cu and Mn requiring higher sampling five composite samples of 40 plants in rainfed systems are needed.A análise foliar auxilia os programas de adubação com o intuito de obter maiores produtividades, no entanto, é imprescindível conhecer o número adequado da amostra. Objetivou-se, no trabalho, determinar em lavouras comerciais de café, submetidas a dois regimes hídricos, o número de plantas a serem amostradas e estimar o erro amostral para a diagnose do estado nutricional dessa cultura. O trabalho foi composto por dois estudos, onde foram realizadas amostragens de folhas, em lavoura de sequeiro e irrigado. Para ambos os estudos foi utilizado o delineamento experimental inteiramente casualizado, com quatro tratamentos e cinco repetições, que constaram da coleta de folhas em 5, 10, 20 e 40 plantas de cafeeiro por unidade amostral. Assim, para manter o erro amostral menor que 10% para os teores de macronutrientes, a amostragem de folhas de cinco amostras, compostas em 10 e 20 plantas por unidade amostral nos sistemas irrigado e sequeiro, respectivamente, é suficiente. Já para o teor de micronutrientes é necessária coleta de 20 plantas nos sistemas, exceto o Cu e Mn que necessitam de amostragem superior a cinco amostras, compostas de 40 plantas, no sistema de sequeiro. Editora UFLA2015-02-13info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/mswordhttps://coffeescience.ufla.br/index.php/Coffeescience/article/view/790Coffee Science - ISSN 1984-3909; Vol. 10 No. 1 (2015); 122 - 130Coffee Science; Vol. 10 Núm. 1 (2015); 122 - 130Coffee Science; v. 10 n. 1 (2015); 122 - 1301984-3909reponame:Coffee Science (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAporhttps://coffeescience.ufla.br/index.php/Coffeescience/article/view/790/pdf_166https://coffeescience.ufla.br/index.php/Coffeescience/article/view/790/1382Copyright (c) 2015 Coffee Science - ISSN 1984-3909https://creativecommons.org/info:eu-repo/semantics/openAccessCintra, Antonio Carlos de OliveiraRozane, Danilo EduardoNatale, WilliamSilva, Silvia Helena Modenese Gorla daBarbosa, José CarlosLopes, Marcelo Domingos Chamma2015-06-02T03:32:20Zoai:coffeescience.ufla.br:article/790Revistahttps://coffeescience.ufla.br/index.php/CoffeesciencePUBhttps://coffeescience.ufla.br/index.php/Coffeescience/oaicoffeescience@dag.ufla.br||coffeescience@dag.ufla.br|| alvaro-cozadi@hotmail.com1984-39091809-6875opendoar:2024-05-21T19:53:50.211654Coffee Science (Online) - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv Sampling of plant in coffee for evaluation of nutritional status
Amostragem de plantas em cafeeiro para avaliação do estado nutricional
title Sampling of plant in coffee for evaluation of nutritional status
spellingShingle Sampling of plant in coffee for evaluation of nutritional status
Cintra, Antonio Carlos de Oliveira
Coffea arabica
leaf analysis
sample leaf
plant nutrition
Coffea arabica
diagnose foliar
amostra foliar
nutrição de plantas
title_short Sampling of plant in coffee for evaluation of nutritional status
title_full Sampling of plant in coffee for evaluation of nutritional status
title_fullStr Sampling of plant in coffee for evaluation of nutritional status
title_full_unstemmed Sampling of plant in coffee for evaluation of nutritional status
title_sort Sampling of plant in coffee for evaluation of nutritional status
author Cintra, Antonio Carlos de Oliveira
author_facet Cintra, Antonio Carlos de Oliveira
Rozane, Danilo Eduardo
Natale, William
Silva, Silvia Helena Modenese Gorla da
Barbosa, José Carlos
Lopes, Marcelo Domingos Chamma
author_role author
author2 Rozane, Danilo Eduardo
Natale, William
Silva, Silvia Helena Modenese Gorla da
Barbosa, José Carlos
Lopes, Marcelo Domingos Chamma
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Cintra, Antonio Carlos de Oliveira
Rozane, Danilo Eduardo
Natale, William
Silva, Silvia Helena Modenese Gorla da
Barbosa, José Carlos
Lopes, Marcelo Domingos Chamma
dc.subject.por.fl_str_mv Coffea arabica
leaf analysis
sample leaf
plant nutrition
Coffea arabica
diagnose foliar
amostra foliar
nutrição de plantas
topic Coffea arabica
leaf analysis
sample leaf
plant nutrition
Coffea arabica
diagnose foliar
amostra foliar
nutrição de plantas
description The foliar fertilization assists programs in order to obtain higher yields, however, it is essential to know the ideal number of plants to be sampled. The study aimed to determine in commercial coffee plantations, subjected to two water regimes, the number of plants to be sampled and estimate the sample error for the diagnosis of nutritional status of that culture. The work consisted of two studies where samples of leaves were collected in rainfed and irrigated farming. For both studies the completely randomized design, with four treatments and five repetitions that consisted of leaf collection in 5, 10, 20 and 40 coffee plants per sampling unit was used. So to keep the sampling error below 10 % for the macronutrient, leaf sampling five composite samples at 10 and 20 plants per sampling unit under irrigated and rainfed conditions, respectively, is sufficient. As for the content of micronutrients collecting 20 plants in systems except Cu and Mn requiring higher sampling five composite samples of 40 plants in rainfed systems are needed.
publishDate 2015
dc.date.none.fl_str_mv 2015-02-13
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://coffeescience.ufla.br/index.php/Coffeescience/article/view/790
url https://coffeescience.ufla.br/index.php/Coffeescience/article/view/790
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://coffeescience.ufla.br/index.php/Coffeescience/article/view/790/pdf_166
https://coffeescience.ufla.br/index.php/Coffeescience/article/view/790/1382
dc.rights.driver.fl_str_mv Copyright (c) 2015 Coffee Science - ISSN 1984-3909
https://creativecommons.org/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2015 Coffee Science - ISSN 1984-3909
https://creativecommons.org/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/msword
dc.publisher.none.fl_str_mv Editora UFLA
publisher.none.fl_str_mv Editora UFLA
dc.source.none.fl_str_mv Coffee Science - ISSN 1984-3909; Vol. 10 No. 1 (2015); 122 - 130
Coffee Science; Vol. 10 Núm. 1 (2015); 122 - 130
Coffee Science; v. 10 n. 1 (2015); 122 - 130
1984-3909
reponame:Coffee Science (Online)
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Coffee Science (Online)
collection Coffee Science (Online)
repository.name.fl_str_mv Coffee Science (Online) - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv coffeescience@dag.ufla.br||coffeescience@dag.ufla.br|| alvaro-cozadi@hotmail.com
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