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Registro Completo |
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Biblioteca(s): |
Embrapa Cerrados. |
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Data corrente: |
23/08/2016 |
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Data da última atualização: |
06/09/2016 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SÓ E SILVA, M.; ALBRECHT, J. C.; SOARES SOBRINHO, J.; MORESCO, E.; CHAGAS, J.; CAIERAO, E.; SCHEEREN, P. L.; CASTRO, R. L. de; CARGNIN, A.; MIRANDA, M. Z. de; GUARIENTI, E. M.; EICHELBERGER, L.; NASCIMENTO JUNIOR, A. do; ITO, M. A.; SANTANA, F. M.; YAMANAKA, C. I.; BRÁZ, A. J. B. P. |
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Afiliação: |
MARCIO SO E SILVA, CNPT; JULIO CESAR ALBRECHT, CPAC; JOAQUIM SOARES SOBRINHO, CNPT; EDINA REGINA MORESCO, CNPT; JORGE HENRIQUE CHAGAS, CNPT; EDUARDO CAIERAO, CNPT; PEDRO LUIZ SCHEEREN, CNPT; RICARDO LIMA DE CASTRO, CNPT; ADELIANO CARGNIN, CNPUV; MARTHA ZAVARIZ DE MIRANDA, CNPT; ELIANA MARIA GUARIENTI, CNPT; LUIZ EICHELBERGER, CNPT; ALFREDO DO NASCIMENTO JUNIOR, CNPT; MARCIO AKIRA ITO, CPAO; FLAVIO MARTINS SANTANA, CNPT; CELSO IDEO YAMANAKA, COOPADAP; ANTÔNIO JOAQUIM BRAGA PEREIRA BRÁZ, UNIVERSIDADE DE RIO VERDE. |
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Título: |
BRS 404 - wheat cultivar for rainfed conditions. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Crop Breeding and Applied Biotechnology, Londrina, v. 16, n. 1, p. 71-73, 2016. |
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DOI: |
http://dx.doi.org/10.1590/1984-70332016v16n1c11 |
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Idioma: |
Inglês |
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Palavras-Chave: |
BRS 404; Cultivar. |
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Thesagro: |
Trigo. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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Marc: |
LEADER 00986naa a2200349 a 4500
001 2051482
005 2016-09-06
008 2016 bl --- 0-- u #d
024 7 $ahttp://dx.doi.org/10.1590/1984-70332016v16n1c11$2DOI
100 1 $aSÓ E SILVA, M.
245 $aBRS 404 - wheat cultivar for rainfed conditions.
260 $c2016
650 $aTrigo
653 $aBRS 404
653 $aCultivar
700 1 $aALBRECHT, J. C.
700 1 $aSOARES SOBRINHO, J.
700 1 $aMORESCO, E.
700 1 $aCHAGAS, J.
700 1 $aCAIERAO, E.
700 1 $aSCHEEREN, P. L.
700 1 $aCASTRO, R. L. de
700 1 $aCARGNIN, A.
700 1 $aMIRANDA, M. Z. de
700 1 $aGUARIENTI, E. M.
700 1 $aEICHELBERGER, L.
700 1 $aNASCIMENTO JUNIOR, A. do
700 1 $aITO, M. A.
700 1 $aSANTANA, F. M.
700 1 $aYAMANAKA, C. I.
700 1 $aBRÁZ, A. J. B. P.
773 $tCrop Breeding and Applied Biotechnology, Londrina$gv. 16, n. 1, p. 71-73, 2016.
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Embrapa Cerrados (CPAC) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Arroz e Feijão. Para informações adicionais entre em contato com cnpaf.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
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Data corrente: |
09/08/2011 |
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Data da última atualização: |
08/06/2016 |
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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: |
VAN OORT, P. A. J.; ZHANG, T.; VRIES, M. E. de; HEINEMANN, A. B.; MEINKE, H. |
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Afiliação: |
P. A. J. VAN OORT, WAGENINGEN UNIVERSITY; TIANYI ZHANG, INSTITUTE OF ATMOSPHERIC PHYSICS, BEIJING-CHINA; M. E. DE VRIES, WAGENINGEN UNIVERSITY; ALEXANDRE BRYAN HEINEMANN, CNPAF; H. MEINKE, WAGENINGEN UNIVERSITY. |
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Título: |
Correlation between temperature and phenology prediction error in rice (Oryza sativa L.). |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
Agricultural and Forest Meteorology, Amsterdam, v. 151, n. 12, p. 1545-1555, Dec. 2011. |
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DOI: |
10.1016/j.agrformet.2011.06.012 |
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Idioma: |
Inglês |
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Conteúdo: |
For rice (Oryza sativa L.), simulation models like ORYZA2000 and CERES-Rice have been used to explore adaptation options to climate change and weather-related stresses (drought, heat). Output of these models is very sensitive to accurate modelling of crop development, i.e. phenology. What has to date received little attention in phenology calibration is the temperature range within which phenological models are accurate. Particularly the possible correlation between temperature and phenology prediction error has received little attention, although there are indications that such correlation exists, in particular in the study by Zhang et al. (2008). The implication of such correlation is that a phenology model that is accurate within the calibration temperature range can be less accurate at higher temperatures where it can systematically overestimate or underestimate the duration of the phase from emergence to flowering. We have developed a new rice phenology calibration program that is consistent with ORYZA2000 concepts and coding. The existing calibration program DRATES of ORYZA2000 requires an assumption of default cardinal temperatures (8, 30 and 42 ◦C) and then calculates cultivar specific temperature sums and development rates. Our new program estimates all phenological parameters simultaneously, including the cardinal temperatures. Applied to nine large datasets from around the world we show that the use of default cardinal temperatures can lead to correlation between temperature and phenology prediction error and temperature and RMSE values in the order of 4?18 days for the period from emergence to flowering. Our new program avoids such correlation and reduces phenology prediction errors to 3?7 days (RMSE). Our results show that the often made assumption of a rapid decrease in development rate above the optimal temperature can lead to poorer predictions and systematic errors. We therefore caution against using default phenological parameters for studies where temperatures may fall outside the range for which the phenological models have been calibrated. In particular, this applies to climate change studies, were this could lead to highly erroneous conclusions. More phenological research with average growing season temperatures above the optimum, in the range of 32?40 ◦C, is needed to establish which phenological model best describes phenology in this temperature range. MenosFor rice (Oryza sativa L.), simulation models like ORYZA2000 and CERES-Rice have been used to explore adaptation options to climate change and weather-related stresses (drought, heat). Output of these models is very sensitive to accurate modelling of crop development, i.e. phenology. What has to date received little attention in phenology calibration is the temperature range within which phenological models are accurate. Particularly the possible correlation between temperature and phenology prediction error has received little attention, although there are indications that such correlation exists, in particular in the study by Zhang et al. (2008). The implication of such correlation is that a phenology model that is accurate within the calibration temperature range can be less accurate at higher temperatures where it can systematically overestimate or underestimate the duration of the phase from emergence to flowering. We have developed a new rice phenology calibration program that is consistent with ORYZA2000 concepts and coding. The existing calibration program DRATES of ORYZA2000 requires an assumption of default cardinal temperatures (8, 30 and 42 ◦C) and then calculates cultivar specific temperature sums and development rates. Our new program estimates all phenological parameters simultaneously, including the cardinal temperatures. Applied to nine large datasets from around the world we show that the use of default cardinal temperatures can lead to correlation be... Mostrar Tudo |
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Thesagro: |
Arroz; Fenologia; Oryza sativa; Temperatura. |
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Thesaurus NAL: |
Calibration; Phenology; Temperature. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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Marc: |
LEADER 03193naa a2200265 a 4500
001 1897600
005 2016-06-08
008 2011 bl uuuu u00u1 u #d
024 7 $a10.1016/j.agrformet.2011.06.012$2DOI
100 1 $aVAN OORT, P. A. J.
245 $aCorrelation between temperature and phenology prediction error in rice (Oryza sativa L.).
260 $c2011
520 $aFor rice (Oryza sativa L.), simulation models like ORYZA2000 and CERES-Rice have been used to explore adaptation options to climate change and weather-related stresses (drought, heat). Output of these models is very sensitive to accurate modelling of crop development, i.e. phenology. What has to date received little attention in phenology calibration is the temperature range within which phenological models are accurate. Particularly the possible correlation between temperature and phenology prediction error has received little attention, although there are indications that such correlation exists, in particular in the study by Zhang et al. (2008). The implication of such correlation is that a phenology model that is accurate within the calibration temperature range can be less accurate at higher temperatures where it can systematically overestimate or underestimate the duration of the phase from emergence to flowering. We have developed a new rice phenology calibration program that is consistent with ORYZA2000 concepts and coding. The existing calibration program DRATES of ORYZA2000 requires an assumption of default cardinal temperatures (8, 30 and 42 ◦C) and then calculates cultivar specific temperature sums and development rates. Our new program estimates all phenological parameters simultaneously, including the cardinal temperatures. Applied to nine large datasets from around the world we show that the use of default cardinal temperatures can lead to correlation between temperature and phenology prediction error and temperature and RMSE values in the order of 4?18 days for the period from emergence to flowering. Our new program avoids such correlation and reduces phenology prediction errors to 3?7 days (RMSE). Our results show that the often made assumption of a rapid decrease in development rate above the optimal temperature can lead to poorer predictions and systematic errors. We therefore caution against using default phenological parameters for studies where temperatures may fall outside the range for which the phenological models have been calibrated. In particular, this applies to climate change studies, were this could lead to highly erroneous conclusions. More phenological research with average growing season temperatures above the optimum, in the range of 32?40 ◦C, is needed to establish which phenological model best describes phenology in this temperature range.
650 $aCalibration
650 $aPhenology
650 $aTemperature
650 $aArroz
650 $aFenologia
650 $aOryza sativa
650 $aTemperatura
700 1 $aZHANG, T.
700 1 $aVRIES, M. E. de
700 1 $aHEINEMANN, A. B.
700 1 $aMEINKE, H.
773 $tAgricultural and Forest Meteorology, Amsterdam$gv. 151, n. 12, p. 1545-1555, Dec. 2011.
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