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Registro Completo |
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Biblioteca(s): |
Embrapa Arroz e Feijão; Embrapa Soja. |
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Data corrente: |
06/11/2003 |
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Data da última atualização: |
20/04/2018 |
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Autoria: |
CARVALHO, C. G. P. de; OLIVEIRA, M. F. de; ARIAS, C. A. A.; CASTIGLIONI, V. B. R.; VIEIRA, O. V.; TOLEDO, J. F. F. de. |
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Afiliação: |
CLAUDIO GUILHERME PORTELA DE CARVALHO, CNPSO; MARCELO FERNANDES DE OLIVEIRA, CNPSO; CARLOS ALBERTO ARRABAL ARIAS, CNPSO; VANIA BEATRIZ RODRIGUES CASTIGLIONI, SDI; OSVALDO VASCONCELLOS VIEIRA, CNPT; JOSÉ FRANCISCO FERRAZ DE TOLEDO, CNPSo. |
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Título: |
Categorizing coefficients of variation in sunflower trials. |
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Ano de publicação: |
2003 |
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Fonte/Imprenta: |
Crop Breeding and Applied Biotechnology, Londrina, v. 3, n. 1, p. 69-76, mar. 2003. |
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DOI: |
10.12702/1984-7033.v03n01a10 |
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Idioma: |
Inglês |
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Conteúdo: |
This study was carried out to categorize coefficients of variation (CV?s) associated with important traits of routine use in the sunflower breeding programs. Separate categories were obtained for the August/September and February/March sowings. Data were used from the intermediate and final sunflower experiments carried out by Embrapa Soybean and other collaborator institutions of the Network of Official Sunflower Trials. Taking into account the mean and the standard deviation of the CV?s obtained from the analyses of variance of the experiments, they were fitted into the low, medium, high and very high categories. An additional classification was made using the median and pseudo-sigma, in place of the mean and standard deviation, respectively. In this study it was ascertained that the CV?s categorization depended on the trait studied. Sowing date effects were more pronounced for seed and oil yield and plant height. For all assessed traits in February/March, the methodologies adopted were similar (regardless of the CV?s distribution) and satisfactory to assess the experimental accuracy of the trials. In the August/September trials there was good agreement between the results of the methodologies adopted and that of Gomes (1985) for seed and oil yield. For the other traits, the former methodologies were shown to be more adequate. The proposed CV?s categorizations for the sunflower traits use as maximum acceptable limits the values of 23.5% (August/September sowing) and 31.5% (February/ March sowing) for seed and oil yield, 6.0% for oil content (August/September and February/March) and plant height (August/September), 9.5% for plant height (February/March) and 4.5% for flowering and physiological maturity (August/September and February/March. MenosThis study was carried out to categorize coefficients of variation (CV?s) associated with important traits of routine use in the sunflower breeding programs. Separate categories were obtained for the August/September and February/March sowings. Data were used from the intermediate and final sunflower experiments carried out by Embrapa Soybean and other collaborator institutions of the Network of Official Sunflower Trials. Taking into account the mean and the standard deviation of the CV?s obtained from the analyses of variance of the experiments, they were fitted into the low, medium, high and very high categories. An additional classification was made using the median and pseudo-sigma, in place of the mean and standard deviation, respectively. In this study it was ascertained that the CV?s categorization depended on the trait studied. Sowing date effects were more pronounced for seed and oil yield and plant height. For all assessed traits in February/March, the methodologies adopted were similar (regardless of the CV?s distribution) and satisfactory to assess the experimental accuracy of the trials. In the August/September trials there was good agreement between the results of the methodologies adopted and that of Gomes (1985) for seed and oil yield. For the other traits, the former methodologies were shown to be more adequate. The proposed CV?s categorizations for the sunflower traits use as maximum acceptable limits the values of 23.5% (August/September sowing) and 31.5% ... Mostrar Tudo |
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Palavras-Chave: |
Experimental accuracy; Sunflower. |
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Thesagro: |
Girassol; Helianthus Annuus. |
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Thesaurus Nal: |
yield components. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/175739/1/c8128f42-9baa-9413.pdf
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Marc: |
LEADER 02521naa a2200253 a 4500
001 1460270
005 2018-04-20
008 2003 bl uuuu u00u1 u #d
024 7 $a10.12702/1984-7033.v03n01a10$2DOI
100 1 $aCARVALHO, C. G. P. de
245 $aCategorizing coefficients of variation in sunflower trials.
260 $c2003
520 $aThis study was carried out to categorize coefficients of variation (CV?s) associated with important traits of routine use in the sunflower breeding programs. Separate categories were obtained for the August/September and February/March sowings. Data were used from the intermediate and final sunflower experiments carried out by Embrapa Soybean and other collaborator institutions of the Network of Official Sunflower Trials. Taking into account the mean and the standard deviation of the CV?s obtained from the analyses of variance of the experiments, they were fitted into the low, medium, high and very high categories. An additional classification was made using the median and pseudo-sigma, in place of the mean and standard deviation, respectively. In this study it was ascertained that the CV?s categorization depended on the trait studied. Sowing date effects were more pronounced for seed and oil yield and plant height. For all assessed traits in February/March, the methodologies adopted were similar (regardless of the CV?s distribution) and satisfactory to assess the experimental accuracy of the trials. In the August/September trials there was good agreement between the results of the methodologies adopted and that of Gomes (1985) for seed and oil yield. For the other traits, the former methodologies were shown to be more adequate. The proposed CV?s categorizations for the sunflower traits use as maximum acceptable limits the values of 23.5% (August/September sowing) and 31.5% (February/ March sowing) for seed and oil yield, 6.0% for oil content (August/September and February/March) and plant height (August/September), 9.5% for plant height (February/March) and 4.5% for flowering and physiological maturity (August/September and February/March.
650 $ayield components
650 $aGirassol
650 $aHelianthus Annuus
653 $aExperimental accuracy
653 $aSunflower
700 1 $aOLIVEIRA, M. F. de
700 1 $aARIAS, C. A. A.
700 1 $aCASTIGLIONI, V. B. R.
700 1 $aVIEIRA, O. V.
700 1 $aTOLEDO, J. F. F. de
773 $tCrop Breeding and Applied Biotechnology, Londrina$gv. 3, n. 1, p. 69-76, mar. 2003.
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Registro original: |
Embrapa Soja (CNPSO) |
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Registro Completo
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
14/12/2015 |
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Data da última atualização: |
26/05/2022 |
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Autoria: |
ANDREAE, M. O.; ACEVEDO, O. C.; ARAUJO, A.; ARTAXO, P.; BARBOSA, C. G. G.; BARBOSA, H. M. J.; BRITO, J.; CARBONE, S.; CHI, X.; CINTRA, B. B. L.; SILVA, N. F. da; DIAS, N. L.; DIAS-JÚNIOR, C. Q.; DITAS, F.; DITZ, R.; GODOI, A. F. L.; GODOI, R. H. M.; HEIMANN, M.; HOFFMANN, T.; KESSELMEIER, J.; KÖNEMANN, T.; KRÜGER, M. L.; LAVRIC, J. V.; MANZI, A. O.; MORAN-ZULOAGA, D.; NÖLSCHER, A. C.; NOGUEIRA, D. S.; PIEDADE, M. T. F.; PÖHLKER, C.; PÖSCHL, U.; RIZZO, L. V.; RO, C.-U.; RUCKTESCHLER, N.; SÁ, L. D. A.; SÁ, M. D. O.; SALES, C. B.; SANTOS, R. M. N. dos; SATURNO, J.; SCHÖNGART, J.; SÖRGEL, M.; SOUZA, C. M. de; SOUZA, R. A. F. de; SU, H.; TARGHETTA, N.; TÓTA, J.; TREBS, I.; TRUMBORE, S.; EIJCK, A. van; WALTER, D.; WANG, Z.; WEBER, B.; WILLIAMS, J.; WINDERLICH, J.; WITTMANN, F.; WOLFF, S.; YÁÑEZ-SERRANO, A. M. |
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Afiliação: |
M. O. ANDREAE, Max Planck Institute for Chemistry / University of California San Diego; O. C. ACEVEDO, Universidade Federal Santa Maria; ALESSANDRO CARIOCA DE ARAUJO, CPATU; P. ARTAXO, USP; C. G. G. BARBOSA, UFPR; H. M. J. BARBOSA, USP; J. BRITO, USP; S. CARBONE, USP; X. CHI, Max Planck Institute for Chemistry; B. B. L. CINTRA, INPA; N. F. DA SILVA, INPA; N. L. DIAS, UFPR; C. Q. DIAS-JÚNIOR, IFPA / INPA; F. DITAS, Max Planck Institute for Chemistry; R. DITZ, Max Planck Institute for Chemistry; A. F. L. GODOI, UFPR; R. H. M. GODOI, UFPR; M. HEIMANN, Max Planck Institute for Biogeochemistry; T. HOFFMANN, Johannes Gutenberg University; J. KESSELMEIER, Max Planck Institute for Chemistry; T. KÖNEMANN, Max Planck Institute for Chemistry; M. L. KRÜGER, Max Planck Institute for Chemistry; J. V. LAVRIC, Max Planck Institute for Biogeochemistry; A. O. MANZI, INPA; D. MORAN-ZULOAGA, Max Planck Institute for Chemistry; A. C. NÖLSCHER, Max Planck Institute for Chemistry; D. SANTOS NOGUEIRA, CENSIPAM; M. T. F. PIEDADE, INPA; C. PÖHLKER, Max Planck Institute for Chemistry; U. PÖSCHL, Max Planck Institute for Chemistry; L. V. RIZZO, USP; C.-U. RO, Inha University; N. RUCKTESCHLER, Max Planck Institute for Chemistry; L. D. A. SÁ, INPE; M. D. O. SÁ, INPA; C. B. SALES, INPA / CESP/UEA; R. M. N. D. SANTOS, UEA; J. SATURNO, Max Planck Institute for Chemistry; J. SCHÖNGART, Max Planck Institute for Chemistry / INPA; M. SÖRGEL, Max Planck Institute for Chemistry; C. M. DE SOUZA, INPA / UFAM/ICSEZ-Parintins; R. A. F. DE SOUZA, UEA; H. SU, Max Planck Institute for Chemistry; N. TARGHETTA, INPA; J. TÓTA, UEA / UFOPA; I. TREBS, Max Planck Institute for Chemistry; S. TRUMBORE, Max Planck Institute for Biogeochemistry; A. VAN EIJCK, Johannes Gutenberg University; D. WALTER, Max Planck Institute for Chemistry; Z. WANG, Max Planck Institute for Chemistry; B. WEBER, Max Planck Institute for Chemistry; J. WILLIAMS, Max Planck Institute for Chemistry; J. WINDERLICH, Max Planck Institute for Chemistry / Max Planck Institute for Biogeochemistry; F. WITTMANN, Max Planck Institute for Chemistry; S. WOLFF, Max Planck Institute for Chemistry / INPA; A. M. YÁÑEZ-SERRANO, Max Planck Institute for Chemistry / INPA. |
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Título: |
The Amazon Tall Tower Observatory (ATTO) in the remote Amazon basin: overview of first results from ecosystem ecology, meteorology, trace gas, and aerosol measurements. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
Atmospheric Chemistry and Physics Discuss, v. 15, n. 18, p. 11599-11726, 2015. |
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DOI: |
10.5194/acpd-15-11599-2015 |
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Idioma: |
Português |
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Conteúdo: |
The Amazon Basin plays key roles in the carbon and water cycles, climate change, atmospheric chemistry, and biodiversity. It already has been changed significantly by human activities, and more pervasive change is expected to occur in the next decades. It is therefore essential to establish long-term measurement sites that provide a baseline record of present-day climatic, biogeochemical, and atmospheric conditions and that will be operated over coming decades to monitor change in the Amazon region as human perturbations increase in the future. The Amazon Tall Tower Observatory (ATTO) has been set up in a pristine rain forest region in the central Amazon Basin, about 150 km northeast of the city of Manaus. An ecological survey including a biodiversity assessment has been conducted in the forest region surrounding the site. Two 80 m towers have been operated at the site since 2012, and a 325 m tower is nearing completion in mid-2015. Measurements of micrometeorological and atmospheric chemical variables were initiated in 2012, and their range has continued to broaden over the last few years. The meteorological and micrometeorological measurements include temperature and wind profiles, precipitation, water and energy fluxes, turbulence components, soil temperature profiles and soil heat fluxes, radiation fluxes, and visibility. A tree has been instrumented to measure stem profiles of temperature, light intensity, and water content in cryptogamic covers. The trace gas measurements comprise continuous monitoring of carbon dioxide, carbon monoxide, methane, and ozone at 5 to 8 different heights, complemented by a variety of additional species measured during intensive campaigns (e.g., VOC, NO, NO2, and OH reactivity). Aerosol optical, microphysical, and chemical measurements are made above the canopy as well as in the canopy space. They include light scattering and absorption, aerosol fluorescence, number and volume size distributions, chemical composition, cloud condensation nuclei (CCN) concentrations, and hygroscopicity. Initial results from ecological, meteorological, and chemical studies at the ATTO site are presented in this paper. MenosThe Amazon Basin plays key roles in the carbon and water cycles, climate change, atmospheric chemistry, and biodiversity. It already has been changed significantly by human activities, and more pervasive change is expected to occur in the next decades. It is therefore essential to establish long-term measurement sites that provide a baseline record of present-day climatic, biogeochemical, and atmospheric conditions and that will be operated over coming decades to monitor change in the Amazon region as human perturbations increase in the future. The Amazon Tall Tower Observatory (ATTO) has been set up in a pristine rain forest region in the central Amazon Basin, about 150 km northeast of the city of Manaus. An ecological survey including a biodiversity assessment has been conducted in the forest region surrounding the site. Two 80 m towers have been operated at the site since 2012, and a 325 m tower is nearing completion in mid-2015. Measurements of micrometeorological and atmospheric chemical variables were initiated in 2012, and their range has continued to broaden over the last few years. The meteorological and micrometeorological measurements include temperature and wind profiles, precipitation, water and energy fluxes, turbulence components, soil temperature profiles and soil heat fluxes, radiation fluxes, and visibility. A tree has been instrumented to measure stem profiles of temperature, light intensity, and water content in cryptogamic covers. The trace gas measureme... Mostrar Tudo |
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Palavras-Chave: |
Monitoramento. |
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Thesagro: |
Clima. |
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Thesaurus NAL: |
Amazonia. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/135576/1/acpdDiscuss.pdf
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Marc: |
LEADER 04427naa a2200829 a 4500
001 2031648
005 2022-05-26
008 2015 bl uuuu u00u1 u #d
024 7 $a10.5194/acpd-15-11599-2015$2DOI
100 1 $aANDREAE, M. O.
245 $aThe Amazon Tall Tower Observatory (ATTO) in the remote Amazon basin$boverview of first results from ecosystem ecology, meteorology, trace gas, and aerosol measurements.$h[electronic resource]
260 $c2015
520 $aThe Amazon Basin plays key roles in the carbon and water cycles, climate change, atmospheric chemistry, and biodiversity. It already has been changed significantly by human activities, and more pervasive change is expected to occur in the next decades. It is therefore essential to establish long-term measurement sites that provide a baseline record of present-day climatic, biogeochemical, and atmospheric conditions and that will be operated over coming decades to monitor change in the Amazon region as human perturbations increase in the future. The Amazon Tall Tower Observatory (ATTO) has been set up in a pristine rain forest region in the central Amazon Basin, about 150 km northeast of the city of Manaus. An ecological survey including a biodiversity assessment has been conducted in the forest region surrounding the site. Two 80 m towers have been operated at the site since 2012, and a 325 m tower is nearing completion in mid-2015. Measurements of micrometeorological and atmospheric chemical variables were initiated in 2012, and their range has continued to broaden over the last few years. The meteorological and micrometeorological measurements include temperature and wind profiles, precipitation, water and energy fluxes, turbulence components, soil temperature profiles and soil heat fluxes, radiation fluxes, and visibility. A tree has been instrumented to measure stem profiles of temperature, light intensity, and water content in cryptogamic covers. The trace gas measurements comprise continuous monitoring of carbon dioxide, carbon monoxide, methane, and ozone at 5 to 8 different heights, complemented by a variety of additional species measured during intensive campaigns (e.g., VOC, NO, NO2, and OH reactivity). Aerosol optical, microphysical, and chemical measurements are made above the canopy as well as in the canopy space. They include light scattering and absorption, aerosol fluorescence, number and volume size distributions, chemical composition, cloud condensation nuclei (CCN) concentrations, and hygroscopicity. Initial results from ecological, meteorological, and chemical studies at the ATTO site are presented in this paper.
650 $aAmazonia
650 $aClima
653 $aMonitoramento
700 1 $aACEVEDO, O. C.
700 1 $aARAUJO, A.
700 1 $aARTAXO, P.
700 1 $aBARBOSA, C. G. G.
700 1 $aBARBOSA, H. M. J.
700 1 $aBRITO, J.
700 1 $aCARBONE, S.
700 1 $aCHI, X.
700 1 $aCINTRA, B. B. L.
700 1 $aSILVA, N. F. da
700 1 $aDIAS, N. L.
700 1 $aDIAS-JÚNIOR, C. Q.
700 1 $aDITAS, F.
700 1 $aDITZ, R.
700 1 $aGODOI, A. F. L.
700 1 $aGODOI, R. H. M.
700 1 $aHEIMANN, M.
700 1 $aHOFFMANN, T.
700 1 $aKESSELMEIER, J.
700 1 $aKÖNEMANN, T.
700 1 $aKRÜGER, M. L.
700 1 $aLAVRIC, J. V.
700 1 $aMANZI, A. O.
700 1 $aMORAN-ZULOAGA, D.
700 1 $aNÖLSCHER, A. C.
700 1 $aNOGUEIRA, D. S.
700 1 $aPIEDADE, M. T. F.
700 1 $aPÖHLKER, C.
700 1 $aPÖSCHL, U.
700 1 $aRIZZO, L. V.
700 1 $aRO, C.-U.
700 1 $aRUCKTESCHLER, N.
700 1 $aSÁ, L. D. A.
700 1 $aSÁ, M. D. O.
700 1 $aSALES, C. B.
700 1 $aSANTOS, R. M. N. dos
700 1 $aSATURNO, J.
700 1 $aSCHÖNGART, J.
700 1 $aSÖRGEL, M.
700 1 $aSOUZA, C. M. de
700 1 $aSOUZA, R. A. F. de
700 1 $aSU, H.
700 1 $aTARGHETTA, N.
700 1 $aTÓTA, J.
700 1 $aTREBS, I.
700 1 $aTRUMBORE, S.
700 1 $aEIJCK, A. van
700 1 $aWALTER, D.
700 1 $aWANG, Z.
700 1 $aWEBER, B.
700 1 $aWILLIAMS, J.
700 1 $aWINDERLICH, J.
700 1 $aWITTMANN, F.
700 1 $aWOLFF, S.
700 1 $aYÁÑEZ-SERRANO, A. M.
773 $tAtmospheric Chemistry and Physics Discuss$gv. 15, n. 18, p. 11599-11726, 2015.
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Embrapa Amazônia Oriental (CPATU) |
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