|
|
Registros recuperados : 184 | |
Registros recuperados : 184 | |
|
|
Registro Completo
Biblioteca(s): |
Embrapa Amazônia Oriental. |
Data corrente: |
16/08/1995 |
Data da última atualização: |
24/07/2020 |
Autoria: |
DIAS FILHO, M. B.; SIMÃO NETO, M.; SERRÃO, E. A. S. |
Afiliação: |
MOACYR BERNARDINO DIAS FILHO, CPATU; MIGUEL SIMAO NETO, CPATU; EMANUEL ADILSON DE SOUZA SERRAO, CPATU. |
Título: |
Cluster analysis for assessing the agronomic adaptation of Panicum maximum Jacq. accessions. |
Ano de publicação: |
1994 |
Fonte/Imprenta: |
Pesquisa Agropecuária Brasileira, Brasília, DF, v. 29, n. 10, p. 1509-1516, out. 1994. |
Idioma: |
Inglês |
Conteúdo: |
Cluster analysis techniques were conducted using the degree of agronomic adaptation - an integrated measure of susceptibility to diseases and insects, growth of vigor, recovery from simulated herbivority, soil cover, and potential for dry matter production - of 118 accessions of the forage grass Panicum maximum jacq., evaluated during a two-year period, in eastern Brazilian Amazonia. The objective was to determine the feasibility of clustering procedures to classify the studied accessions according to their agronomic adaptation. Hierarchical (complete linkage) cluster and nonhierarchical (k-means) cluster analysis were found to be suitable statistical tools for assigning accessions to discrete groups. The 118 P. maximum accessions were classified into four distinct clusters of 21, 40, 41, and 16 accessions with, respectively, excellent, good, regular, and poor degree of agronomic adaptation. |
Palavras-Chave: |
Adaptação; Adaptation; Análise multivariada; Brasil; Forage grass; Planta gramínea forrageira. |
Thesagro: |
Análise Estatística; Panicum Maximum. |
Thesaurus NAL: |
Amazonia; multivariate analysis; statistical analysis. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/36378/1/pab04-out-94.pdf
|
Marc: |
LEADER 01737naa a2200277 a 4500 001 1373113 005 2020-07-24 008 1994 bl uuuu u00u1 u #d 100 1 $aDIAS FILHO, M. B. 245 $aCluster analysis for assessing the agronomic adaptation of Panicum maximum Jacq. accessions. 260 $c1994 520 $aCluster analysis techniques were conducted using the degree of agronomic adaptation - an integrated measure of susceptibility to diseases and insects, growth of vigor, recovery from simulated herbivority, soil cover, and potential for dry matter production - of 118 accessions of the forage grass Panicum maximum jacq., evaluated during a two-year period, in eastern Brazilian Amazonia. The objective was to determine the feasibility of clustering procedures to classify the studied accessions according to their agronomic adaptation. Hierarchical (complete linkage) cluster and nonhierarchical (k-means) cluster analysis were found to be suitable statistical tools for assigning accessions to discrete groups. The 118 P. maximum accessions were classified into four distinct clusters of 21, 40, 41, and 16 accessions with, respectively, excellent, good, regular, and poor degree of agronomic adaptation. 650 $aAmazonia 650 $amultivariate analysis 650 $astatistical analysis 650 $aAnálise Estatística 650 $aPanicum Maximum 653 $aAdaptação 653 $aAdaptation 653 $aAnálise multivariada 653 $aBrasil 653 $aForage grass 653 $aPlanta gramínea forrageira 700 1 $aSIMÃO NETO, M. 700 1 $aSERRÃO, E. A. S. 773 $tPesquisa Agropecuária Brasileira, Brasília, DF$gv. 29, n. 10, p. 1509-1516, out. 1994.
Download
Esconder MarcMostrar Marc Completo |
Registro original: |
Embrapa Amazônia Oriental (CPATU) |
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
Nenhum registro encontrado para a expressão de busca informada. |
|
|