| |
|
|
| Registros recuperados : 315 | |
| 102. |  | SFREDO, G. J.; BORKERT, C. M.; KLEPKER, D.; OLIVEIRA, F. A. de. Estabelecimento de faixas de suficiência de Ca e Mg para a cultura da soja em solos de Cerrados. In: REUNIÃO BRASILEIRA DE FERTILIDADE DO SOLO E NUTRIÇÃO DE PLANTAS, 27.; REUNIÃO BRASILEIRA SOBRE MICORRIZAS, 11.; SIMPÓSIO BRASILEIRO DE MICROBIOLOGIA DO SOLO, 9.; REUNIÃO BRASILEIRA DE BIOLOGIA DO SOLO, 6., 2006, Bonito, MS. A busca das raízes: anais. Dourados: Embrapa Agropecuária Oeste, 2006. 1 CD-ROM. (Embrapa Agropecuária Oeste. Documentos, 82).| Biblioteca(s): Embrapa Soja. |
|   |
| 103. | | SFREDO, G. J.; KLEPKER, D.; BORKERT, C. M.; OLIVEIRA, F. A. de. Estabelecimento de faixas de suficiência da saturação de Ca e Mg, Na Ctc, e da saturação por bases para a soja, em solos de Cerrados. In: REUNIÃO DE PESQUISA DE SOJA DA REGIÃO CENTRAL DO BRASIL, 28., 2006, Uberaba. Resumos... Londrina: Embrapa Soja: Fundação Meridional: Fundação Triângulo, 2006. p. 430-431. (Embrapa Soja. Documentos, 272). Organizado por Odilon Ferreira Saraiva, Regina Maria Villas Boas de Campos Leite, Janete Lasso Ortiz.| Biblioteca(s): Embrapa Soja. |
| |
| 104. | | BORKERT, C. M.; SFREDO, G. J.; KLEPKER, D.; OLIVEIRA, F. A. de. Estabelecimento das relações entre Ca, Mg e K para soja, em solo de Cerrados. In: REUNIÃO DE PESQUISA DE SOJA DA REGIÃO CENTRAL DO BRASIL, 28., 2006, Uberaba. Resumos... Londrina: Embrapa Soja: Fundação Meridional: Fundação Triângulo, 2006. p. 428-429. (Embrapa Soja. Documentos, 272). Organizado por Odilon Ferreira Saraiva, Regina Maria Villas Boas de Campos Leite, Janete Lasso Ortiz.| Biblioteca(s): Embrapa Soja. |
| |
| 105. | | ZOBIOLE, L. H. S.; CASTRO, C. de; OLIVEIRA, F. A. de; OLIVEIRA JUNIOR, A. de. Eficiência de acúmulo de massa seca e macronutrientes primários por dois híbridos de girassol. In: REUNIÃO BRASILEIRA DE FERTILIDADE DO SOLO E NUTRIÇÃO DE PLANTAS, 28.; REUNIÃO BRASILEIRA SOBRE MICORRIZAS, 12.; SIMPÓSIO BRASILEIRO DE MICROBIOLOGIA DO SOLO, 10.; REUNIÃO BRASILEIRA DE BIOLOGIA DO SOLO, 7., 2008, Londrina. FertBio 2008: desafios para o uso do solo com eficiência e qualidade ambiental: anais. Londrina: Embrapa Soja: SBCS: IAPAR, UEL, 2008. 1 CD-ROM. Organizado por: Adilson de Oliveira Júnior, Regina Maria Villas Bôas de Campos Leite, César de Castro, Fábio Álvares de Oliveira; Odilon Ferreira Saraiva. PDF. 1134_1.| Biblioteca(s): Embrapa Soja. |
| |
| 106. | | OLIVEIRA, F. A. de; CASTRO, C. de; MOREIRA, A.; ROSA, J. L. Eficiência da adubação residual com rochas brasileiras para a cultura da soja. Espaço & Geografia, Brasília, DF, v. 9, n. 2, p. 231-246, 2006.| Biblioteca(s): Embrapa Pecuária Sudeste; Embrapa Soja. |
|  |
| 107. | | BORKERT, C. M.; KLEPKER, D.; OLIVEIRA, F. A. de; SFREDO, G. J.; CASTRO, C. de. Estimativa do nível crítico de cobre para a soja, em solos do Paraná. In: REUNIÃO DE PESQUISA DE SOJA DA REGIÃO CENTRAL DO BRASIL, 28., 2006, Uberaba. Resumos... Londrina: Embrapa Soja: Fundação Meridional: Fundação Triângulo, 2006. p. 426-427. (Embrapa Soja. Documentos, 272). Organizado por Odilon Ferreira Saraiva, Regina Maria Villas Boas de Campos Leite, Janete Lasso Ortiz.| Biblioteca(s): Embrapa Soja. |
| |
| 109. | | BORKERT, C. M.; KLEPKER, D.; OLIVEIRA, F. A. de; SFREDO, G. J.; CASTRO, C. de. Estimativa do teor crítico de cobre em solos do Paraná. In: CONGRESSO BRASILEIRO DE SOJA, 4., 2006, Londrina. Resumos... Londrina: Embrapa Soja, 2006. p. 175. Organizado por Odilon Ferreira Saraiva, Simone Ery Grosskopf.| Biblioteca(s): Embrapa Soja. |
| |
| 110. | | FOLONI, J. S. S.; OLIVEIRA JUNIOR, A. de; CASTRO, C. de; OLIVEIRA, F. A. de. Cultivares de soja submetidas à calagem superficial e adubação de sistema com fósforo e potássio na sucessão trigo/soja. In: CONGRESSO BRASILEIRO DE SOJA, 8., 2018, Goiânia. Inovação, tecnologias digitais e sustentabilidade da soja: anais. Brasília, DF: Embrapa, 2018. p. 845-847.| Biblioteca(s): Embrapa Trigo. |
|  |
| 111. | | FOLONI, J. S. S.; OLIVEIRA JUNIOR, A. de; CASTRO, C. de; OLIVEIRA, F. A. de. Cultivares de soja submetidas à calagem superficial e adubação de sistema com fósforo e potássio na sucessão trigo/soja. In: CONGRESSO BRASILEIRO DE SOJA, 8., 2018, Goiânia. Inovação, tecnologias digitais e sustentabilidade da soja: anais. Brasília, DF: Embrapa, 2018. p. 845-847.| Biblioteca(s): Embrapa Soja. |
| |
| 113. | | HARGER, N.; KURIHARA, C. H.; OLIVEIRA, F. A. de; RALISCH, R. Faixas de suficiência para teores foliares de nutrientes em soja, definidas pelo uso do método DRIS, para solos de origem basáltica. In: CONGRESSO BRASILEIRO DE CIÊNCIA DO SOLO, 32., 2009, Fortaleza. O solo e a produção de bioenergia: perspectivas e desafios. Viçosa, MG: Sociedade Brasileira de Ciência do Solo; Fortaleza: UFC, 2009. 1 CD-ROM. Trabalho publicado também em Resumos do CONGRESSO BRASILEIRO DE CIÊNCIA DO SOLO, 32., 2009, Fortaleza.| Biblioteca(s): Embrapa Agropecuária Oeste. |
| |
| 114. | | HARGER, N.; KURIHARA, C. H.; OLIVEIRA, F. A. de; RALISCH, R. Faixas de suficiência para teores foliares de nutrientes em soja, definidas pelo uso do método DRIS, para solos de origem basáltica. In: CONGRESSO BRASILEIRO DE CIÊNCIA DO SOLO, 32., 2009, Fortaleza. O solo e a produção de bioenergia: perspectivas e desafios: resumos. [Viçosa, MG]: SBCS; Fortaleza: UFC, 2009. p. 68. Ref.: PT287| Biblioteca(s): Embrapa Soja. |
| |
| 115. | | OLIVEIRA JUNIOR, A. de; CASTRO, C. de; OLIVEIRA, F. A. de; KLEPKER, D. Fertilidade do solo e avaliação do estado nutricional da soja. In: SEIXAS, C. D. S.; NEUMAIER, N.; BALBINOT JUNIOR, A. A.; KRZYZANOWSKI, F. C.; LEITE, R. M. V. B. de C. (Ed.). Tecnologias de produção de soja. Londrina: Embrapa Soja, 2020. (Embrapa Soja. Sistemas de Produção, 17). p. 133-184.| Biblioteca(s): Embrapa Soja. |
| |
| Registros recuperados : 315 | |
|
|
|
Registro Completo
|
Biblioteca(s): |
Embrapa Soja. |
|
Data corrente: |
13/01/2011 |
|
Data da última atualização: |
03/06/2011 |
|
Tipo da produção científica: |
Resumo em Anais de Congresso |
|
Autoria: |
OLIVEIRA, M. C. N. de; CASTRO, C. de; OLIVEIRA, F. A. de. |
|
Afiliação: |
MARIA CRISTINA NEVES DE OLIVEIRA, CNPSO; CESAR DE CASTRO, CNPSO; FABIO ALVARES DE OLIVEIRA, CNPSO. |
|
Título: |
Sunflower yield: adjustement of data means by the combination of ANOVA and Regression models. |
|
Ano de publicação: |
2010 |
|
Fonte/Imprenta: |
In: INTERNATIONAL BIOMETRIC CONFERENCE, 25., 2010, Florianópolis. [Scientific programm.]. Florianópolis: UFSC : IBS, 2010. 1p. Poster Session, M41. CD-ROM. |
|
Idioma: |
Inglês |
|
Conteúdo: |
Sunflower is an important oilseed crop. Besides producing high quality edible oil for human consumption, it also produces meal for animal feeding, and is an alternative for biodiesel production as well. Sunflower is a crop well adapted to several environmental conditions and is tolerant to low temperatures and to relatively short periods of water stress. In Brazil, the sunflower cultivated area reaches 75,000 hectares and its yield averages 1,460 kg/ha (CONAB). Much effort has been spent on research work at management of sunflower and consequently higher yield. Research efforts are specifically directed to the control of diseases and pests, which can cause defoliation, damages to the roots, and yield losses. The need for macro- and micronutrient fertilizations is another research demanding aspect of the crop. Within this context, two extremely important aspects in solving these research demands are: the appropriate agronomical planning and the adequate experimental design. These procedures will allow decisions on selection of size and shape of plots, on experimental unit, on qualitative and quantitative factors, on experimental design, and on the choice of the variables that influence the response and the ways of choosing and distributing the treatments in the plots. The selection of the suitable statistical methods, which allow precise estimates of the treatments and the reduction of the residual variance, uncontrolled in the planning, is also essential. One of these methods is the Analysis of Covariance (ANCOVA). This method combines the Analysis of Variance (ANOVA) and the Regression Analysis, and besides controlling the experimental error, it adjusts the treatment means, thus helping the interpretation of the experimental results as well as the comparison of regressions among several groups of treatments. The model representing this combination is :Yij = ? + ? i + ? j + ? (xij - x.. ) +? ij , where: Yij is the observed value of the response variable; ? is the mean value of the response variable; i ? is the effect of treatment I, with i = 1, 2,?, I; j ? is the effect of the block j, with j = 1,2,?, J; ? is the effect of the combined linear regression Yij as related to x; ij x is the observed value of the co-variable; and ij ? is the experimental error associated toYij, with ?ij ?N (0,?2 ) . The covariate should not be influenced by the treatments initially tested, maintaining the independence among them. Therefore, the treatments were: one control (0), and the P2O5 dosages of 40 kg ha-1, 80 kg ha-1, 120 kg ha-1, and 160 kg ha-1, applied to the sunflower hybrid Aguara 4. The experiment was carried out as a randomized block design, with six replications and the variables studied were: yield (kg ha-1) and the number of achenes per sunflower plant. The descriptive analysis indicated consistency in the tests concerning normality and independence of errors, additivity of the model, and homogeneity of treatments variances. The F statistics presented significant response for the treatments, for the response variable and covariate (5.48 and 4.93), respectively. The highest sunflower yield, obtained with the dosage of 120 kg ha-1 P2O5, statistically differed only from the control (Tukey p? 0, 05). The ANCOVA, adjusted by the number of achenes, reduced the error variance from 49,768.84 to 32,887.40. An interesting fact is that after ANCOVA, the effect of treatments became non-significant (F = 2.62), even with the reduction of the error variance. The mean values adjusted by the Tukey-Kramer test were reduced when compared to the original means. The interaction of treatment with the covariable was not significant, indicating that the angular coefficients for the treatments were similar. We concluded that the analysis of covariance reduces the error variance and indicates the real significance of the treatment effects and of the angular coefficients for the non-homogeneous treatments. MenosSunflower is an important oilseed crop. Besides producing high quality edible oil for human consumption, it also produces meal for animal feeding, and is an alternative for biodiesel production as well. Sunflower is a crop well adapted to several environmental conditions and is tolerant to low temperatures and to relatively short periods of water stress. In Brazil, the sunflower cultivated area reaches 75,000 hectares and its yield averages 1,460 kg/ha (CONAB). Much effort has been spent on research work at management of sunflower and consequently higher yield. Research efforts are specifically directed to the control of diseases and pests, which can cause defoliation, damages to the roots, and yield losses. The need for macro- and micronutrient fertilizations is another research demanding aspect of the crop. Within this context, two extremely important aspects in solving these research demands are: the appropriate agronomical planning and the adequate experimental design. These procedures will allow decisions on selection of size and shape of plots, on experimental unit, on qualitative and quantitative factors, on experimental design, and on the choice of the variables that influence the response and the ways of choosing and distributing the treatments in the plots. The selection of the suitable statistical methods, which allow precise estimates of the treatments and the reduction of the residual variance, uncontrolled in the planning, is also essential. One of these method... Mostrar Tudo |
|
Thesagro: |
Biometria. |
|
Categoria do assunto: |
-- |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/25386/1/sunflower.mcno.pdf
|
|
Marc: |
LEADER 04504nam a2200145 a 4500
001 1872896
005 2011-06-03
008 2010 bl uuuu u00u1 u #d
100 1 $aOLIVEIRA, M. C. N. de
245 $aSunflower yield$badjustement of data means by the combination of ANOVA and Regression models.
260 $aIn: INTERNATIONAL BIOMETRIC CONFERENCE, 25., 2010, Florianópolis. [Scientific programm.]. Florianópolis: UFSC : IBS, 2010. 1p. Poster Session, M41. CD-ROM.$c2010
520 $aSunflower is an important oilseed crop. Besides producing high quality edible oil for human consumption, it also produces meal for animal feeding, and is an alternative for biodiesel production as well. Sunflower is a crop well adapted to several environmental conditions and is tolerant to low temperatures and to relatively short periods of water stress. In Brazil, the sunflower cultivated area reaches 75,000 hectares and its yield averages 1,460 kg/ha (CONAB). Much effort has been spent on research work at management of sunflower and consequently higher yield. Research efforts are specifically directed to the control of diseases and pests, which can cause defoliation, damages to the roots, and yield losses. The need for macro- and micronutrient fertilizations is another research demanding aspect of the crop. Within this context, two extremely important aspects in solving these research demands are: the appropriate agronomical planning and the adequate experimental design. These procedures will allow decisions on selection of size and shape of plots, on experimental unit, on qualitative and quantitative factors, on experimental design, and on the choice of the variables that influence the response and the ways of choosing and distributing the treatments in the plots. The selection of the suitable statistical methods, which allow precise estimates of the treatments and the reduction of the residual variance, uncontrolled in the planning, is also essential. One of these methods is the Analysis of Covariance (ANCOVA). This method combines the Analysis of Variance (ANOVA) and the Regression Analysis, and besides controlling the experimental error, it adjusts the treatment means, thus helping the interpretation of the experimental results as well as the comparison of regressions among several groups of treatments. The model representing this combination is :Yij = ? + ? i + ? j + ? (xij - x.. ) +? ij , where: Yij is the observed value of the response variable; ? is the mean value of the response variable; i ? is the effect of treatment I, with i = 1, 2,?, I; j ? is the effect of the block j, with j = 1,2,?, J; ? is the effect of the combined linear regression Yij as related to x; ij x is the observed value of the co-variable; and ij ? is the experimental error associated toYij, with ?ij ?N (0,?2 ) . The covariate should not be influenced by the treatments initially tested, maintaining the independence among them. Therefore, the treatments were: one control (0), and the P2O5 dosages of 40 kg ha-1, 80 kg ha-1, 120 kg ha-1, and 160 kg ha-1, applied to the sunflower hybrid Aguara 4. The experiment was carried out as a randomized block design, with six replications and the variables studied were: yield (kg ha-1) and the number of achenes per sunflower plant. The descriptive analysis indicated consistency in the tests concerning normality and independence of errors, additivity of the model, and homogeneity of treatments variances. The F statistics presented significant response for the treatments, for the response variable and covariate (5.48 and 4.93), respectively. The highest sunflower yield, obtained with the dosage of 120 kg ha-1 P2O5, statistically differed only from the control (Tukey p? 0, 05). The ANCOVA, adjusted by the number of achenes, reduced the error variance from 49,768.84 to 32,887.40. An interesting fact is that after ANCOVA, the effect of treatments became non-significant (F = 2.62), even with the reduction of the error variance. The mean values adjusted by the Tukey-Kramer test were reduced when compared to the original means. The interaction of treatment with the covariable was not significant, indicating that the angular coefficients for the treatments were similar. We concluded that the analysis of covariance reduces the error variance and indicates the real significance of the treatment effects and of the angular coefficients for the non-homogeneous treatments.
650 $aBiometria
700 1 $aCASTRO, C. de
700 1 $aOLIVEIRA, F. A. de
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Soja (CNPSO) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
