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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Arroz e Feijão. |
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Data corrente: |
15/03/1996 |
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Data da última atualização: |
22/04/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
WIJESINHA, A.; FEDERER, W. T.; CARVALHO, J. R. P. de; PORTES, T. de A. |
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Afiliação: |
ANILA WIJESINHA, CORNELL UNIVERSITY; WALTER T. FEDERER, CORNELL UNIVERSITY; JOSE RUY PORTO DE CARVALHO, CNPAF; TOMAS DE AQUINO PORTES E CASTR, CNPAF. |
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Título: |
Some statistical analyses for a maize and beans intercropping experiment. |
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Ano de publicação: |
1982 |
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Fonte/Imprenta: |
Crop Science, v. 22, n. 3, p. 660-666, May/June, 1982. |
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ISSN: |
0011-183X |
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DOI: |
10.2135/cropsci1982.0011183X002200030057x |
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Idioma: |
Inglês |
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Conteúdo: |
Several univariate and multivariate analyses were applied to observation from a single experiment involving sole crop and intercropped combinations of two maize (Zea mays L.) and four bean (Phaseolus vulgaris L.) cultivars. Some of the strengths and weaknesses of the analyses are indicated. For joint analyses on maize and bean yields, analyses for crop value or income, land equivalent ratios, and a multivariate analysis with maize yields as one variable and bean yields as a second variable, were performed on the data. The last analysis necessarily ignores sole crop yields. These different types of analyses provided insight into different aspects of an intercropping experiment. It was found that an intercropping system which maximized the yield of any one crop did not necessarily maximize total crop value or income or land equivalent ratio. This indicated that the type of analysis required clearly depended on the goals of the experiment, and that all these analyses may usefully be performed on an intercropping experiment. The conclusions from the multivariate analyses for this experiment were found to agree with those from the univariate analyses. All eight mixtures had a land equivalent ratio greater than one. Combined crop values computed for bean prices three times that of maize were larger for three of the eight mixtures than for the highest sole crop value for a tall maize cultivar. Considering total yield of maize plus beans, none of the mixtures yielded as high as the higher yielding maize cultivar. In considering combined yields in a multivariate analysis, yields of beans were relatively twice as important as maize yields in determining differences in total yield. MenosSeveral univariate and multivariate analyses were applied to observation from a single experiment involving sole crop and intercropped combinations of two maize (Zea mays L.) and four bean (Phaseolus vulgaris L.) cultivars. Some of the strengths and weaknesses of the analyses are indicated. For joint analyses on maize and bean yields, analyses for crop value or income, land equivalent ratios, and a multivariate analysis with maize yields as one variable and bean yields as a second variable, were performed on the data. The last analysis necessarily ignores sole crop yields. These different types of analyses provided insight into different aspects of an intercropping experiment. It was found that an intercropping system which maximized the yield of any one crop did not necessarily maximize total crop value or income or land equivalent ratio. This indicated that the type of analysis required clearly depended on the goals of the experiment, and that all these analyses may usefully be performed on an intercropping experiment. The conclusions from the multivariate analyses for this experiment were found to agree with those from the univariate analyses. All eight mixtures had a land equivalent ratio greater than one. Combined crop values computed for bean prices three times that of maize were larger for three of the eight mixtures than for the highest sole crop value for a tall maize cultivar. Considering total yield of maize plus beans, none of the mixtures yielded as high as the ... Mostrar Tudo |
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Palavras-Chave: |
Análise multivariada; Análise univariada; Consorciação; Land equivalent ratio; Relay-cropping; Univariate analysis. |
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Thesagro: |
Análise Estatística; Feijão; Milho; Phaseolus Vulgaris; Zea Mays. |
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Thesaurus Nal: |
intercropping; mixed cropping; multivariate analysis. |
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Categoria do assunto: |
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X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 02717naa a2200349 a 4500
001 2107417
005 2019-04-22
008 1982 bl uuuu u00u1 u #d
022 $a0011-183X
024 7 $a10.2135/cropsci1982.0011183X002200030057x$2DOI
100 1 $aWIJESINHA, A.
245 $aSome statistical analyses for a maize and beans intercropping experiment.$h[electronic resource]
260 $c1982
520 $aSeveral univariate and multivariate analyses were applied to observation from a single experiment involving sole crop and intercropped combinations of two maize (Zea mays L.) and four bean (Phaseolus vulgaris L.) cultivars. Some of the strengths and weaknesses of the analyses are indicated. For joint analyses on maize and bean yields, analyses for crop value or income, land equivalent ratios, and a multivariate analysis with maize yields as one variable and bean yields as a second variable, were performed on the data. The last analysis necessarily ignores sole crop yields. These different types of analyses provided insight into different aspects of an intercropping experiment. It was found that an intercropping system which maximized the yield of any one crop did not necessarily maximize total crop value or income or land equivalent ratio. This indicated that the type of analysis required clearly depended on the goals of the experiment, and that all these analyses may usefully be performed on an intercropping experiment. The conclusions from the multivariate analyses for this experiment were found to agree with those from the univariate analyses. All eight mixtures had a land equivalent ratio greater than one. Combined crop values computed for bean prices three times that of maize were larger for three of the eight mixtures than for the highest sole crop value for a tall maize cultivar. Considering total yield of maize plus beans, none of the mixtures yielded as high as the higher yielding maize cultivar. In considering combined yields in a multivariate analysis, yields of beans were relatively twice as important as maize yields in determining differences in total yield.
650 $aintercropping
650 $amixed cropping
650 $amultivariate analysis
650 $aAnálise Estatística
650 $aFeijão
650 $aMilho
650 $aPhaseolus Vulgaris
650 $aZea Mays
653 $aAnálise multivariada
653 $aAnálise univariada
653 $aConsorciação
653 $aLand equivalent ratio
653 $aRelay-cropping
653 $aUnivariate analysis
700 1 $aFEDERER, W. T.
700 1 $aCARVALHO, J. R. P. de
700 1 $aPORTES, T. de A.
773 $tCrop Science$gv. 22, n. 3, p. 660-666, May/June, 1982.
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Registro original: |
Embrapa Arroz e Feijão (CNPAF) |
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Biblioteca |
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Origem |
Tipo/Formato |
Classificação |
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Registro |
Volume |
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URL |
Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Meio-Norte. |
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Data corrente: |
17/10/2022 |
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Data da última atualização: |
17/10/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
SILVA, W. J. dos S.; ALCANTARA NETO, F. de; AL-QAHTANI, W. H.; OKLA, M. K.; AL-HASHIMI, A.; VIEIRA, P. F. de M. J.; GRAVINA, G. de A.; ZUFFO, A. M.; DUTRA, A. F.; CARVALHO, L. C. B.; SOUSA, R. S. de; PEREIRA, A. P. de A.; LEITE, W. de S.; SILVA JUNIOR, G. B. da; SILVA, A. C. da; LEITE, M. R. L.; LUSTOSA SOBRINHO, R.; ABDELGAWAD, H. |
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Afiliação: |
WELDER JOSE DOS SANTOS SILVA, FEDERAL UNIVERSITY OF PIAUI; FRANCISCO DE ALCANTARA NETO, FEDERAL UNIVERSITY OF PIAUI; WAHIDAH H. AL-QAHTANI, COLLEGE OF FOOD AND AGRICULTURAL SCIENCES, KING SAUD UNIVERSITY, RIYADH, SAUDI ARABIA; MOHAMMAD K. OKLA, COLLEGE OF SCIENCE, KING SAUD UNIVERSITY, RIYADH, SAUDI ARABIA; ABDULRAHMAN AL-HASHIMI, COLLEGE OF SCIENCE, KING SAUD UNIVERSITY, RIYADH, SAUDI ARABIA; PAULO FERNANDO DE MELO JORGE VIEIRA, CPAMN; GERALDO DE AMARAL GRAVINA, STATE UNIVERSITY OF THE NORTH FLUMINENSE DARCY RIBEIRO, RIO DE JANEIRO, BRAZIL; ALAN MARIO ZUFFO, STATE UNIVERSITY OF MARANHÃO, BALSAS, MARANHÃO, BRAZIL; ALEXSON FILGUEIRAS DUTRA, FEDERAL UNIVERSITY OF PIAUI; LEONARDO CASTELO BRANCO CARVALHO, FEDERAL RURAL UNIVERSITY OF THE AMAZONIA; RICARDO SILVA DE SOUSA, FEDERAL UNIVERSITY OF PIAUI; ARTHUR PRUDÊNCIO DE ARAUJO PEREIRA, FEDERAL UNIVERSITY OF CEARA; WALLACE DE SOUSA LEITE, FEDERAL UNIVERSITY OF PIAUI; GABRIEL BARBOSA DA SILVA JUNIOR, FEDERAL UNIVERSITY OF PIAUI; ADRIANA CONCEIÇAO DA SILVA, FEDERAL UNIVERSITY OF PIAUI; MARCOS RENAN LIMA LEITE, FEDERAL UNIVERSITY OF PIAUI; RENATO LUSTOSA SOBRINHO, FEDERAL UNIVERSITY OF TECHNOLOGY, PATO BRANCO, PARANA, BRAZIL; HAMADA ABDELGAWAD, UNIVERSITY OF ANTWERP, ANTWERPEN, BELGIUM. |
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Título: |
Yield of soybean genotypes identified through GGE biplot and path analysis. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
PLOS ONE, v. 17, n. 10, e0274726, 2022. |
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DOI: |
https://doi.org/10.1371/journal. pone.0274726 |
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Idioma: |
Inglês |
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Conteúdo: |
Genotype x environment (GxE) interaction is an important source of variation in soybean yield, which can significantly influence selection in breeding programs. This study aimed to select superior soybean genotypes for performance and yield stability, from data from multienvironment trials (METs), through GGE biplot analysis that combines the main effects of the genotype (G) plus the genotype-by-environment (G×E) interaction. As well as, through path analysis, determine the direct and indirect influences of yield components on soybean grain yield, as a genotype selection strategy. |
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Palavras-Chave: |
Interação genótipo x ambiente. |
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Thesagro: |
Genótipo; Produtividade; Soja. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1147354/1/YieldSoybeanGenotypesGGEBiplotPlosOnev17n10e0274726.2022-1.pdf
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Marc: |
LEADER 01717naa a2200385 a 4500
001 2147354
005 2022-10-17
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1371/journal. pone.0274726$2DOI
100 1 $aSILVA, W. J. dos S.
245 $aYield of soybean genotypes identified through GGE biplot and path analysis.$h[electronic resource]
260 $c2022
520 $aGenotype x environment (GxE) interaction is an important source of variation in soybean yield, which can significantly influence selection in breeding programs. This study aimed to select superior soybean genotypes for performance and yield stability, from data from multienvironment trials (METs), through GGE biplot analysis that combines the main effects of the genotype (G) plus the genotype-by-environment (G×E) interaction. As well as, through path analysis, determine the direct and indirect influences of yield components on soybean grain yield, as a genotype selection strategy.
650 $aGenótipo
650 $aProdutividade
650 $aSoja
653 $aInteração genótipo x ambiente
700 1 $aALCANTARA NETO, F. de
700 1 $aAL-QAHTANI, W. H.
700 1 $aOKLA, M. K.
700 1 $aAL-HASHIMI, A.
700 1 $aVIEIRA, P. F. de M. J.
700 1 $aGRAVINA, G. de A.
700 1 $aZUFFO, A. M.
700 1 $aDUTRA, A. F.
700 1 $aCARVALHO, L. C. B.
700 1 $aSOUSA, R. S. de
700 1 $aPEREIRA, A. P. de A.
700 1 $aLEITE, W. de S.
700 1 $aSILVA JUNIOR, G. B. da
700 1 $aSILVA, A. C. da
700 1 $aLEITE, M. R. L.
700 1 $aLUSTOSA SOBRINHO, R.
700 1 $aABDELGAWAD, H.
773 $tPLOS ONE$gv. 17, n. 10, e0274726, 2022.
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