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| Registros recuperados : 514 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Acre. |
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Data corrente: |
01/06/2007 |
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Data da última atualização: |
28/07/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
Internacional - A |
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Autoria: |
WADT, P. G. S. |
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Afiliação: |
PAULO GUILHERME SALVADOR WADT, CPAF-AC. |
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Título: |
Relationships between soil class and nutritional status of coffee plantations. |
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Ano de publicação: |
2005 |
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Fonte/Imprenta: |
Revista Brasileira de Ciência do Solo, Viçosa, MG, v. 29, n. 2, p. 227-234, maio/abr. 2005. |
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ISSN: |
0100-0683 (impresso) |
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DOI: |
10.1590/S0100-06832005000200008. |
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Idioma: |
Inglês |
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Conteúdo: |
Farm planning requires an assessment of the soil class. Research suggest that the Diagnosis and Recommendation Integrated System (DRIS) has the capacity to evaluate the nutritional status of coffee plantations, regardless of environmental conditions. Additionally, the use of DRIS could reduce the costs for farm planning. This study evaluated the relationship between the soil class and nutritional status of coffee plants (Coffea canephora Pierre) using the Critical Level (CL) and DRIS methods, based on two multivariate statistical methods (discriminant and multidimensional scaling analyses). During three consecutive years, yield and foliar concentration of nutrients (N, P, K, Ca, Mg, S, B, Zn, Mn, Fe and Cu) were obtained from coffee plantations cultivated in Espírito Santo state. Discriminant analysis showed that the soil class was an important factor determining the nutritional status of the coffee plants. The grouping separation by the CL method was not as effective as the DRIS one. The bidimensional analysis of Euclidean distances did not show the same relationship between plant nutritional status and soil class. Multidimensional scaling analysis by the CL method indicated that 93.3 % of the crops grouped into one cluster, whereas the DRIS method split the fields more evenly into three clusters. The DRIS method thus proved to be more consistent than the CL method for grouping coffee plantations by soil class. |
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Palavras-Chave: |
Análise multivariada; Análisis de multivarianza; Análisis estadístico; Café Conilon; Clasificación de suelos; Classes de solos; Coffee; DRIS Method; Estatus nutricional; Level Critical Method; Método do Nível Crítico; Método DRIS; Nutrición de las plantas. |
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Thesagro: |
Análise estatística; Café; Classificação do solo; Coffea canephora; Estado nutricional; Planejamento agrícola. |
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Thesaurus NAL: |
Multivariate analysis; Nutritional status; Plant nutrition; Soil classification; Statistical analysis. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/112611/1/15200.pdf
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Marc: |
LEADER 02794naa a2200433 a 4500
001 1506306
005 2021-07-28
008 2005 bl uuuu u00u1 u #d
022 $a0100-0683 (impresso)
024 7 $a10.1590/S0100-06832005000200008.$2DOI
100 1 $aWADT, P. G. S.
245 $aRelationships between soil class and nutritional status of coffee plantations.$h[electronic resource]
260 $c2005
520 $aFarm planning requires an assessment of the soil class. Research suggest that the Diagnosis and Recommendation Integrated System (DRIS) has the capacity to evaluate the nutritional status of coffee plantations, regardless of environmental conditions. Additionally, the use of DRIS could reduce the costs for farm planning. This study evaluated the relationship between the soil class and nutritional status of coffee plants (Coffea canephora Pierre) using the Critical Level (CL) and DRIS methods, based on two multivariate statistical methods (discriminant and multidimensional scaling analyses). During three consecutive years, yield and foliar concentration of nutrients (N, P, K, Ca, Mg, S, B, Zn, Mn, Fe and Cu) were obtained from coffee plantations cultivated in Espírito Santo state. Discriminant analysis showed that the soil class was an important factor determining the nutritional status of the coffee plants. The grouping separation by the CL method was not as effective as the DRIS one. The bidimensional analysis of Euclidean distances did not show the same relationship between plant nutritional status and soil class. Multidimensional scaling analysis by the CL method indicated that 93.3 % of the crops grouped into one cluster, whereas the DRIS method split the fields more evenly into three clusters. The DRIS method thus proved to be more consistent than the CL method for grouping coffee plantations by soil class.
650 $aMultivariate analysis
650 $aNutritional status
650 $aPlant nutrition
650 $aSoil classification
650 $aStatistical analysis
650 $aAnálise estatística
650 $aCafé
650 $aClassificação do solo
650 $aCoffea canephora
650 $aEstado nutricional
650 $aPlanejamento agrícola
653 $aAnálise multivariada
653 $aAnálisis de multivarianza
653 $aAnálisis estadístico
653 $aCafé Conilon
653 $aClasificación de suelos
653 $aClasses de solos
653 $aCoffee
653 $aDRIS Method
653 $aEstatus nutricional
653 $aLevel Critical Method
653 $aMétodo do Nível Crítico
653 $aMétodo DRIS
653 $aNutrición de las plantas
773 $tRevista Brasileira de Ciência do Solo, Viçosa, MG$gv. 29, n. 2, p. 227-234, maio/abr. 2005.
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Embrapa Acre (CPAF-AC) |
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