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Biblioteca(s): |
Epagri-Sede. |
Data corrente: |
24/06/2008 |
Data da última atualização: |
24/06/2008 |
Autoria: |
PRELA, A.; PEREIRA, A.R.; CARAMORI, P.H. |
Título: |
Influencia dos fenomenos El Nino e La Nina na produtividade de trigo no Estado do Parana. |
Ano de publicação: |
2005 |
Fonte/Imprenta: |
Revista Brasileira de Agrometeorologia, Piracicaba, v.13, n.3, p.326-337, set./dez. 2005. |
Idioma: |
Português |
Palavras-Chave: |
Balanco hidrico; El Nino; ENOS; La Nina; Precipitacao; Trigo. |
Categoria do assunto: |
-- |
Marc: |
LEADER 00594naa a2200205 a 4500 001 1060033 005 2008-06-24 008 2005 bl uuuu u00u1 u #d 100 1 $aPRELA, A. 245 $aInfluencia dos fenomenos El Nino e La Nina na produtividade de trigo no Estado do Parana. 260 $c2005 653 $aBalanco hidrico 653 $aEl Nino 653 $aENOS 653 $aLa Nina 653 $aPrecipitacao 653 $aTrigo 700 1 $aPEREIRA, A.R. 700 1 $aCARAMORI, P.H. 773 $tRevista Brasileira de Agrometeorologia, Piracicaba$gv.13, n.3, p.326-337, set./dez. 2005.
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Biblioteca(s): |
Epagri-Sede. |
Data corrente: |
22/02/2019 |
Data da última atualização: |
22/02/2019 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
Nacional - B |
Autoria: |
MELO, R. C.; COIMBRA, J. L. M.; TREVISAN, N.; GUIDOLIN, A. F.; KAVALCO, S. A. F. |
Título: |
Consideration of the appropriate variation sources of the statistical model and their impacts on plant breeding. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
Acta Scientiarum. Agronomy, Maringá, v. 41, p. e39791, 2019. |
Idioma: |
Inglês |
Conteúdo: |
The present work has aimed to assess the consideration of the appropriate variation sources of the statistical model and their impacts on the conclusions plant breeding. The Value for Cultivation and Use test was conducted to assess three common locations (Lages, Ponte Serrada, and Canoinhas) and four non-common locations (Chapecó, Guatambu, Urussanga, and Campos Novos). The grain yields of six bean genotypes were evaluated in order to represent the imbalance between the common and noncommon locations. The statistical analysis considered two situations: i) union of the location factors and cultivation years, with a single variation source called environment and ii) decomposition of the mean square values of the two factors, location and year. According to the simplified analysis (environmental variation source), the F test for the genotype factor was highly significant (p = 0.0006). On the other hand, the hypothesis test for the genotype factor was not significant (p = 0.7370) when the decomposition of mean squares was used. The simplified analysis presents some erroneous points, such as the use of a mean residue to test the hypothesis of the genotype factor, since this factor is composed of several sources of variation, and there is no exact F test. However, approximate F tests can be obtained by constructing linear combinations of average squares. This fact notes the relevance of considering the appropriate sources of variation within the statistical model, with a direct impact on the conclusions and recommendations of cultivars with superior performance. MenosThe present work has aimed to assess the consideration of the appropriate variation sources of the statistical model and their impacts on the conclusions plant breeding. The Value for Cultivation and Use test was conducted to assess three common locations (Lages, Ponte Serrada, and Canoinhas) and four non-common locations (Chapecó, Guatambu, Urussanga, and Campos Novos). The grain yields of six bean genotypes were evaluated in order to represent the imbalance between the common and noncommon locations. The statistical analysis considered two situations: i) union of the location factors and cultivation years, with a single variation source called environment and ii) decomposition of the mean square values of the two factors, location and year. According to the simplified analysis (environmental variation source), the F test for the genotype factor was highly significant (p = 0.0006). On the other hand, the hypothesis test for the genotype factor was not significant (p = 0.7370) when the decomposition of mean squares was used. The simplified analysis presents some erroneous points, such as the use of a mean residue to test the hypothesis of the genotype factor, since this factor is composed of several sources of variation, and there is no exact F test. However, approximate F tests can be obtained by constructing linear combinations of average squares. This fact notes the relevance of considering the appropriate sources of variation within the statistical model, with a direct i... Mostrar Tudo |
Palavras-Chave: |
mathematical expectations; variance analysis; VCU trials. |
Categoria do assunto: |
G Melhoramento Genético |
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Marc: |
LEADER 02234naa a2200205 a 4500 001 1128302 005 2019-02-22 008 2019 bl uuuu u00u1 u #d 100 1 $aMELO, R. C. 245 $aConsideration of the appropriate variation sources of the statistical model and their impacts on plant breeding.$h[electronic resource] 260 $c2019 520 $aThe present work has aimed to assess the consideration of the appropriate variation sources of the statistical model and their impacts on the conclusions plant breeding. The Value for Cultivation and Use test was conducted to assess three common locations (Lages, Ponte Serrada, and Canoinhas) and four non-common locations (Chapecó, Guatambu, Urussanga, and Campos Novos). The grain yields of six bean genotypes were evaluated in order to represent the imbalance between the common and noncommon locations. The statistical analysis considered two situations: i) union of the location factors and cultivation years, with a single variation source called environment and ii) decomposition of the mean square values of the two factors, location and year. According to the simplified analysis (environmental variation source), the F test for the genotype factor was highly significant (p = 0.0006). On the other hand, the hypothesis test for the genotype factor was not significant (p = 0.7370) when the decomposition of mean squares was used. The simplified analysis presents some erroneous points, such as the use of a mean residue to test the hypothesis of the genotype factor, since this factor is composed of several sources of variation, and there is no exact F test. However, approximate F tests can be obtained by constructing linear combinations of average squares. This fact notes the relevance of considering the appropriate sources of variation within the statistical model, with a direct impact on the conclusions and recommendations of cultivars with superior performance. 653 $amathematical expectations 653 $avariance analysis 653 $aVCU trials 700 1 $aCOIMBRA, J. L. M. 700 1 $aTREVISAN, N. 700 1 $aGUIDOLIN, A. F. 700 1 $aKAVALCO, S. A. F. 773 $tActa Scientiarum. Agronomy, Maringá$gv. 41, p. e39791, 2019.
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