Home Itens selecionados Provedores de dados OAI Créditos Sobre Ajuda

			Busca avançada
	Provedor de dados Rev. Ciênc. Agron. (1) Ciência Rural (1) Autor Bernardi,Alexandre (1) Brighenti,Carla Regina Guimarães (1) Cirillo,Marcelo Angelo (1) Ramos,Alexandre Rogério (1) Silva,Antonio Waldimir Leopoldino da (1) Palavra-chave Sieves (2) Coffea arabica L. (1) Coffee quality (1) Forage yield (1) Particle size (1) Physiological quality (1) SVD (1) Seed processing (1) Mais... Tipo do documento Info:eu-repo/semantics/article (2) Ano 2019 (1) 2018 (1) País Brazil (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Seed size affects productive parameters in Sudan grass Ciência Rural Bernardi,Alexandre; Ramos,Alexandre Rogério; Silva,Antonio Waldimir Leopoldino da. ABSTRACT: The use of larger seeds may improve the initial development, plant stand, and mass productivity in forage crops. The present study aimed to evaluate the effect of the size of seeds of Sudan grass (Sorghum sudanense L.), standardized on density, on parameters of physiological quality and crop productivity. Seeds were processed in a gravitational table in order to become uniform in terms of density and then submitted to sieves with apertures of 1.75 or 2.00 mm. Three different treatments (seeds without size classification, seeds with diameter between 1.75 mm and 1.99 mm, and seeds with diameter above 2.00 mm) were compared. This study consisted of a laboratory stage for the analysis of physiological variables of seed, and a stage in field plots... Tipo: Info:eu-repo/semantics/article Palavras-chave: Sieves; Seed processing; Forage yield; Physiological quality. Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782019000400653 Analysis of defects in coffee beans compared to biplots for simultaneous tables Rev. Ciênc. Agron. Brighenti,Carla Regina Guimarães; Cirillo,Marcelo Angelo. ABSTRACT The demand for high quality coffee has become a consolidated criterion to achieve the best prices. Currently, cooperatives evaluate the coffee beans mainly through the particle size and the number of defects in the sample. This evaluation type generates counting data that originates contingency tables from different periods or groups involving the same variables in the row and column and there may be interest in knowing if two tables are related and how much are related. These are the so-called combined tables. Statistical analysis techniques normally employed do not include categorical data in the combined tables. The aim of this study was to evaluate the incidence of different types of defects in samples of large flat coffee beans in two... Tipo: Info:eu-repo/semantics/article Palavras-chave: Coffea arabica L.; Coffee quality; Particle size; SVD; Sieves. Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902018000100062 Registros recuperados: 2 Primeira ... 1 ... Última

Empresa Brasileira de Pesquisa Agropecuária - Embrapa Todos os direitos reservados, conforme Lei n° 9.610 Política de Privacidade Área restrita		Embrapa Parque Estação Biológica - PqEB s/n° Brasília, DF - Brasil - CEP 70770-901 Fone: (61) 3448-4433 - Fax: (61) 3448-4890 / 3448-4891 SAC: https://www.embrapa.br/fale-conosco