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Registro Completo |
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
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Data corrente: |
20/10/1994 |
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Data da última atualização: |
14/05/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
FONSECA, J. R.; SILVA, J. G. da. |
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Afiliação: |
JAIME ROBERTO FONSECA, CNPAF; JOSE GERALDO DA SILVA, CNPAF. |
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Título: |
Colheita do arroz. |
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Ano de publicação: |
1989 |
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Fonte/Imprenta: |
Informe Agropecuário, Belo Horizonte, v. 14, n. 161, p. 79-80, 1989. |
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Idioma: |
Português |
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Conteúdo: |
Introdução; Fatores que condicionam boa produtividade e maior eficiência na colheita; Consequencias da colheita antecipada ou retardada; Tipos de colheita; Recomendações técnicas. |
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Thesagro: |
Arroz; Colheita; Oryza Sativa. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/60866/1/Fonseca-IA.pdf
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Marc: |
LEADER 00605naa a2200169 a 4500
001 1197653
005 2020-05-14
008 1989 bl uuuu u00u1 u #d
100 1 $aFONSECA, J. R.
245 $aColheita do arroz.
260 $c1989
520 $aIntrodução; Fatores que condicionam boa produtividade e maior eficiência na colheita; Consequencias da colheita antecipada ou retardada; Tipos de colheita; Recomendações técnicas.
650 $aArroz
650 $aColheita
650 $aOryza Sativa
700 1 $aSILVA, J. G. da
773 $tInforme Agropecuário, Belo Horizonte$gv. 14, n. 161, p. 79-80, 1989.
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Registro original: |
Embrapa Arroz e Feijão (CNPAF) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Soja. Para informações adicionais entre em contato com valeria.cardoso@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Soja. |
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Data corrente: |
21/07/2015 |
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Data da última atualização: |
04/08/2017 |
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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: |
DALLA LANA, F.; ZIEGELMANN, P. K.; MAIA, A. de H. N.; GODOY, C. V.; PONTE, E. M. D. |
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Afiliação: |
FELIPE DALLA LANA, UFRGS; PATRICIA K. ZIEGELMANN, UFRGS; ALINE DE HOLANDA NUNES MAIA, CNPMA; CLAUDIA VIEIRA GODOY, CNPSO; EMERSON M. DEL PONTE, UFV. |
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Título: |
Meta-analysis of the relationship between crop yield And soybean rust severity. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
Phytopathology, v. 105, n. 3, p. 307-315, 2015. |
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ISSN: |
0031-949X |
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DOI: |
10.1094/PHYTO-06-14-0157-R |
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Idioma: |
Português |
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Conteúdo: |
Meta-analytic models were used to summarize and assess the heterogeneity in the relationship between soybean yield (Y, kg/ha) and rust severity (S, %) data from uniform fungicide trials (study, k) conducted over nine growing seasons in Brazil. For each selected study, correlation (k = 231) and regression (k = 210) analysis for the Y?S relationship were conducted and three effect-sizes were obtained from these analysis: Fisher?s transformation of the Pearson?s correlation coefficient (Zr) and the intercept ( 0) and slope ( 1) coefficients. These effect-sizes were summarized through random-effect and mixed-effect models, with the latter incorporating study-specific categorical moderators such as disease onset time (DOT) (70%, moderate = >40 and ≤70%, and low = ≤40% S the check treatment), and growing season. The overall mean for ̅ (backtransformed ̅ r) was ?0.61, based on the random-effects model. DOT and DP explained 14 and 25%, respectively, of the variability in ̅ r. Stronger associations (̅ = ?0.87 and ?0.90) were estimated by mixed-effects models for the Zr data from studies with highest DP (DP > 70%) and earliest rust onset (DOT < R1), respectively. Overall means (based on a random-effect model) for the regression coefficients and were 2,977 and 18 kg/ha/%?1, respectively. In other words, S as low as 3% would reduce 60 kg/ha for an expected Y of 3,000 kg/ha. In relative terms, each unitary percent increase in S would lead to a 0.6 percentage point (pp) reduction in Y. The three categorical moderator variables explained some (5 to 10%) of the heterogeneity in but not in . The estimated relative reduction in Y was 0.41 to 0.79 pp/%?1 across seasons. Highest relative yield reductions (>0.73 pp/%?1) were estimated for studies with DOT < R1 and DP > 70%; the latter possibly due to high fungicide efficacy when DP is low, thus leading to higher yield differences between fungicide-protected and nontreated plots. The critical-point meta-analytic models can provide general estimates of yield loss based on a composite measure of disease severity. They can also beuseful for crop loss assessments and economic analysis under scenarios of varying DOT and weather favorableness for epidemic development. MenosMeta-analytic models were used to summarize and assess the heterogeneity in the relationship between soybean yield (Y, kg/ha) and rust severity (S, %) data from uniform fungicide trials (study, k) conducted over nine growing seasons in Brazil. For each selected study, correlation (k = 231) and regression (k = 210) analysis for the Y?S relationship were conducted and three effect-sizes were obtained from these analysis: Fisher?s transformation of the Pearson?s correlation coefficient (Zr) and the intercept ( 0) and slope ( 1) coefficients. These effect-sizes were summarized through random-effect and mixed-effect models, with the latter incorporating study-specific categorical moderators such as disease onset time (DOT) (70%, moderate = >40 and ≤70%, and low = ≤40% S the check treatment), and growing season. The overall mean for ̅ (backtransformed ̅ r) was ?0.61, based on the random-effects model. DOT and DP explained 14 and 25%, respectively, of the variability in ̅ r. Stronger associations (̅ = ?0.87 and ?0.90) were estimated by mixed-effects models for the Zr data from studies with highest DP (DP > 70%) and earliest rust onset (DOT < R1), respectively. Overall means (based on a random-effect model) for the regression coefficients and &... Mostrar Tudo |
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Palavras-Chave: |
Soybean. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 03223naa a2200205 a 4500
001 2020133
005 2017-08-04
008 2015 bl uuuu u00u1 u #d
022 $a0031-949X
024 7 $a10.1094/PHYTO-06-14-0157-R$2DOI
100 1 $aDALLA LANA, F.
245 $aMeta-analysis of the relationship between crop yield And soybean rust severity.$h[electronic resource]
260 $c2015
520 $aMeta-analytic models were used to summarize and assess the heterogeneity in the relationship between soybean yield (Y, kg/ha) and rust severity (S, %) data from uniform fungicide trials (study, k) conducted over nine growing seasons in Brazil. For each selected study, correlation (k = 231) and regression (k = 210) analysis for the Y?S relationship were conducted and three effect-sizes were obtained from these analysis: Fisher?s transformation of the Pearson?s correlation coefficient (Zr) and the intercept ( 0) and slope ( 1) coefficients. These effect-sizes were summarized through random-effect and mixed-effect models, with the latter incorporating study-specific categorical moderators such as disease onset time (DOT) (<R1 or ≥R1 reproductive crop stage), disease pressure (DP) (high = >70%, moderate = >40 and ≤70%, and low = ≤40% S the check treatment), and growing season. The overall mean for ̅ (backtransformed ̅ r) was ?0.61, based on the random-effects model. DOT and DP explained 14 and 25%, respectively, of the variability in ̅ r. Stronger associations (̅ = ?0.87 and ?0.90) were estimated by mixed-effects models for the Zr data from studies with highest DP (DP > 70%) and earliest rust onset (DOT < R1), respectively. Overall means (based on a random-effect model) for the regression coefficients and were 2,977 and 18 kg/ha/%?1, respectively. In other words, S as low as 3% would reduce 60 kg/ha for an expected Y of 3,000 kg/ha. In relative terms, each unitary percent increase in S would lead to a 0.6 percentage point (pp) reduction in Y. The three categorical moderator variables explained some (5 to 10%) of the heterogeneity in but not in . The estimated relative reduction in Y was 0.41 to 0.79 pp/%?1 across seasons. Highest relative yield reductions (>0.73 pp/%?1) were estimated for studies with DOT < R1 and DP > 70%; the latter possibly due to high fungicide efficacy when DP is low, thus leading to higher yield differences between fungicide-protected and nontreated plots. The critical-point meta-analytic models can provide general estimates of yield loss based on a composite measure of disease severity. They can also beuseful for crop loss assessments and economic analysis under scenarios of varying DOT and weather favorableness for epidemic development.
653 $aSoybean
700 1 $aZIEGELMANN, P. K.
700 1 $aMAIA, A. de H. N.
700 1 $aGODOY, C. V.
700 1 $aPONTE, E. M. D.
773 $tPhytopathology$gv. 105, n. 3, p. 307-315, 2015.
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