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Registro Completo |
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Biblioteca(s): |
Embrapa Meio-Norte. |
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Data corrente: |
19/03/2008 |
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Data da última atualização: |
06/10/2023 |
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Tipo da produção científica: |
Artigo de Divulgação na Mídia |
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Autoria: |
LOPES, M. T. do R. |
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Afiliação: |
MARIA TERESA DO REGO LOPES, CPAMN. |
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Título: |
Abelhas também gostam de sombra e água fresca?. |
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Ano de publicação: |
2007 |
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Fonte/Imprenta: |
Disponível em: . Acesso em: 21 dez. 2007. |
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Idioma: |
Português |
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Notas: |
Disponível também nos seguintes endereços:
http://www.zoonews.com.br/noticias2/noticia.php?idnoticia=129837;
http://www.aprendaki.com.br/noticias.asp?id=8745&cat=Artigos;
http://www.cpamn.embrapa.br/noticias/noticia128.php;
O Dia, Teresina, 21 dez. 2007. Opinião, p. 2. |
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Conteúdo: |
Um dos grandes desafios da apicultura, principalmente na região Nordeste, é a diminuição da perda de enxames e o aumento da produtividade, principalmente em apiários fixos. Esse desafio requer uma série de medidas que devem ser adotadas, iniciando-se pelos cuidados na instalação dos apiários. |
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Thesagro: |
Abelha. |
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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/69572/1/AbelhasTambemS-139-08.pdf
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Marc: |
LEADER 00989nam a2200133 a 4500
001 1069572
005 2023-10-06
008 2007 bl uuuu u00u1 u #d
100 1 $aLOPES, M. T. do R.
245 $aAbelhas também gostam de sombra e água fresca?.$h[electronic resource]
260 $aDisponível em: <http://www.agrosoft.org.br/?q=node/27406>. Acesso em: 21 dez. 2007.$c2007
500 $aDisponível também nos seguintes endereços: http://www.zoonews.com.br/noticias2/noticia.php?idnoticia=129837; http://www.aprendaki.com.br/noticias.asp?id=8745&cat=Artigos; http://www.cpamn.embrapa.br/noticias/noticia128.php; O Dia, Teresina, 21 dez. 2007. Opinião, p. 2.
520 $aUm dos grandes desafios da apicultura, principalmente na região Nordeste, é a diminuição da perda de enxames e o aumento da produtividade, principalmente em apiários fixos. Esse desafio requer uma série de medidas que devem ser adotadas, iniciando-se pelos cuidados na instalação dos apiários.
650 $aAbelha
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Registro original: |
Embrapa Meio-Norte (CPAMN) |
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Registro Completo
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Biblioteca(s): |
Embrapa Soja. |
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Data corrente: |
03/11/2014 |
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Data da última atualização: |
31/12/2014 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
OLIVEIRA, M. C. N. de; CARRÃO-PANIZZI, M. C.; MANDARINO, J. M. G. |
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Afiliação: |
MARIA CRISTINA NEVES DE OLIVEIRA, CNPSO; MERCEDES CONCÓRDIA CARRÃO-PANIZZI, CNPT; JOSÉ MARCOS GONTIJO MANDARINO, CNPSO. |
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Título: |
Biplot method for evaluation of saponins in soybean cultivars. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
In: INTERNATIONAL BIOMETRIC CONFERENCE, 27., 2014, Florence. [Abstracts...]. Whashington, DC: International Biometric Society, 2014. |
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Idioma: |
Inglês |
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Conteúdo: |
In agricultural research many variables can be study to meet the demands. A way of reducing the size of the data matrix is to use different multivariate methods. Although it is a complex method for results interpretation, usually graphics facilitate visualization of the phenomenon under study. In this work the measured variables were chemical compounds found in soybeans called steroidal glycosides which are divided in five groups: saponins I, II, III, IV and V. Seeds of 233 soybean cultivars were analyzed and classified into high, medium, low and very low level of saponins. For this study, 50 of the analysed cultivars with medium level of saponins, were used. To evaluate the five compound groups, principal component analysis (PCA) method was applied, and a linear combination that measures total variation of the variables, cluster analysis and biplot graphic, were considered. Based on singular value decomposition, biplot method permits to present in the same graph, response variables and treatments, indicating the contribution of both according to its components. The exploratory analysis indicated a normal distribution only for saponins I and II. A strong negative correlation between saponins I and V (-0.70) and a negative correlation between saponins II and V (-0.60), were observed. The remaining correlations ranged from 0.40 to -0.51. The dendogram based on the method of complete linkage allowed grouping into few groups. The highest variability was found in the saponin I (SD = 0.19) and saponins V (SD = 0.15). The first three components explained 89.6% of the total variance. The saponin I was the most representative in the first two components (Fig 1). Results obtained by PCA (Fig. 2) showed that the cultivars located in the first quadrant are those with high content of saponins, showing that this method is effective to select materials. The highest values of saponin I are located in the first quadrant and are more distant from the origin. When the objective is to find cultivars with high content of saponins, cultivars União, MGBR56, Ocepar 10 in the first quadrant, and Embrapa 58, FT2, Dourados in the second quadrant, are the major contributions compared to the other cultivars. The minor contributions of saponins are indicated by small arrows. The highest correlations occurred when the arrows were closer. By using multivariate methods associated with the biplot, it was possible to indicate cultivars with high levels of saponins. MenosIn agricultural research many variables can be study to meet the demands. A way of reducing the size of the data matrix is to use different multivariate methods. Although it is a complex method for results interpretation, usually graphics facilitate visualization of the phenomenon under study. In this work the measured variables were chemical compounds found in soybeans called steroidal glycosides which are divided in five groups: saponins I, II, III, IV and V. Seeds of 233 soybean cultivars were analyzed and classified into high, medium, low and very low level of saponins. For this study, 50 of the analysed cultivars with medium level of saponins, were used. To evaluate the five compound groups, principal component analysis (PCA) method was applied, and a linear combination that measures total variation of the variables, cluster analysis and biplot graphic, were considered. Based on singular value decomposition, biplot method permits to present in the same graph, response variables and treatments, indicating the contribution of both according to its components. The exploratory analysis indicated a normal distribution only for saponins I and II. A strong negative correlation between saponins I and V (-0.70) and a negative correlation between saponins II and V (-0.60), were observed. The remaining correlations ranged from 0.40 to -0.51. The dendogram based on the method of complete linkage allowed grouping into few groups. The highest variability was found in the saponin I (S... Mostrar Tudo |
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Palavras-Chave: |
Bioestatística. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/110972/1/Biplot-method-for-evaluation-of-saponins-in-soybean-cultivars.pdf
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Marc: |
LEADER 03009nam a2200145 a 4500
001 1999062
005 2014-12-31
008 2014 bl uuuu u00u1 u #d
100 1 $aOLIVEIRA, M. C. N. de
245 $aBiplot method for evaluation of saponins in soybean cultivars.$h[electronic resource]
260 $aIn: INTERNATIONAL BIOMETRIC CONFERENCE, 27., 2014, Florence. [Abstracts...]. Whashington, DC: International Biometric Society$c2014
520 $aIn agricultural research many variables can be study to meet the demands. A way of reducing the size of the data matrix is to use different multivariate methods. Although it is a complex method for results interpretation, usually graphics facilitate visualization of the phenomenon under study. In this work the measured variables were chemical compounds found in soybeans called steroidal glycosides which are divided in five groups: saponins I, II, III, IV and V. Seeds of 233 soybean cultivars were analyzed and classified into high, medium, low and very low level of saponins. For this study, 50 of the analysed cultivars with medium level of saponins, were used. To evaluate the five compound groups, principal component analysis (PCA) method was applied, and a linear combination that measures total variation of the variables, cluster analysis and biplot graphic, were considered. Based on singular value decomposition, biplot method permits to present in the same graph, response variables and treatments, indicating the contribution of both according to its components. The exploratory analysis indicated a normal distribution only for saponins I and II. A strong negative correlation between saponins I and V (-0.70) and a negative correlation between saponins II and V (-0.60), were observed. The remaining correlations ranged from 0.40 to -0.51. The dendogram based on the method of complete linkage allowed grouping into few groups. The highest variability was found in the saponin I (SD = 0.19) and saponins V (SD = 0.15). The first three components explained 89.6% of the total variance. The saponin I was the most representative in the first two components (Fig 1). Results obtained by PCA (Fig. 2) showed that the cultivars located in the first quadrant are those with high content of saponins, showing that this method is effective to select materials. The highest values of saponin I are located in the first quadrant and are more distant from the origin. When the objective is to find cultivars with high content of saponins, cultivars União, MGBR56, Ocepar 10 in the first quadrant, and Embrapa 58, FT2, Dourados in the second quadrant, are the major contributions compared to the other cultivars. The minor contributions of saponins are indicated by small arrows. The highest correlations occurred when the arrows were closer. By using multivariate methods associated with the biplot, it was possible to indicate cultivars with high levels of saponins.
653 $aBioestatística
700 1 $aCARRÃO-PANIZZI, M. C.
700 1 $aMANDARINO, J. M. G.
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