Sampling of plant in coffee for evaluation of nutritional status
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , , |
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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oai:coffeescience.ufla.br:article/790 |
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Coffee Science (Online) |
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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 |
_version_ |
1799874920292810752 |