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Registro Completo |
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Biblioteca(s): |
Embrapa Mandioca e Fruticultura. |
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Data corrente: |
08/11/2010 |
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Data da última atualização: |
01/04/2011 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
SILVA, S. O; AMORIM, E. P.; MATOS, A. P. de; CORDEIRO, Z. J. M. |
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Afiliação: |
Sebastião de Oliveira e Silva, CNPMF; EDSON PERITO AMORIM, CNPMF; ARISTOTELES PIRES DE MATOS, CNPMF; ZILTON JOSE MACIEL CORDEIRO, CNPMF. |
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Título: |
Evaluation of tetraploid banana in relation to the panama disease. |
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Ano de publicação: |
2010 |
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Fonte/Imprenta: |
In: INTERNATIONAL HORTICULTURAL CONGRESS, 28., 2010, Lisboa. Science and horticulture for people: programme & book of abstracts. Lisboa: ISHS, 2010. 1 CD-ROM. |
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Volume: |
2 |
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Páginas: |
p. 751. |
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Idioma: |
Inglês |
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Notas: |
PDF. S18.022. |
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Conteúdo: |
Fusarium wilt is one of the major diseases leading to great losses in banana crop in Brazil since most cultivars used are susceptible. The objective of the present work was to evaluate agronomical characteristics and resistance to Fusarium wilt in tet-raploid banana hybrids. The experiment was carried out in the experimental field at Embrapa Cassava and Tropical Fruits in complete randomized design with 10 replicates of one plant each in the years 2000 and 2001. Fourteen tetraploids were evaluated: FHIA-03, PV03-44, PC42-01, PV42-53, PV42-68, PV42-81, PV42-85, PV42-129, PV42-142, PV42-143, SH3640, ST12-31, ST42-08 and YB42-21 and the Silk cultivar used as the control. The following characteristics were evaluated: plant height (m) and pseudostem diameter (cm) at 30 cm from the ground, bunch weight (kg), hand weight (kg) and fruit weight (g), number of hands per bunch, fruits per hand and days to flowering until harvest and Fusarium wilt incidence. The average of the genotypes was grouped by the Scott Knott test at 5% probability. There is a broad variation regarding the characteristics evaluated. The best genotypes are: FHIA 03, ST12-31, SH3640, PV42-142, PV42-53 and PV42-68 for present-ing good agronomical characteristics as well as resistance to Fusarium wilt. |
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Palavras-Chave: |
Doença do Panamá. |
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Thesagro: |
Banana. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 01956naa a2200217 a 4500
001 1866299
005 2011-04-01
008 2010 bl uuuu u00u1 u #d
100 1 $aSILVA, S. O
245 $aEvaluation of tetraploid banana in relation to the panama disease.
260 $c2010
300 $ap. 751. 2
490 $v2
500 $aPDF. S18.022.
520 $aFusarium wilt is one of the major diseases leading to great losses in banana crop in Brazil since most cultivars used are susceptible. The objective of the present work was to evaluate agronomical characteristics and resistance to Fusarium wilt in tet-raploid banana hybrids. The experiment was carried out in the experimental field at Embrapa Cassava and Tropical Fruits in complete randomized design with 10 replicates of one plant each in the years 2000 and 2001. Fourteen tetraploids were evaluated: FHIA-03, PV03-44, PC42-01, PV42-53, PV42-68, PV42-81, PV42-85, PV42-129, PV42-142, PV42-143, SH3640, ST12-31, ST42-08 and YB42-21 and the Silk cultivar used as the control. The following characteristics were evaluated: plant height (m) and pseudostem diameter (cm) at 30 cm from the ground, bunch weight (kg), hand weight (kg) and fruit weight (g), number of hands per bunch, fruits per hand and days to flowering until harvest and Fusarium wilt incidence. The average of the genotypes was grouped by the Scott Knott test at 5% probability. There is a broad variation regarding the characteristics evaluated. The best genotypes are: FHIA 03, ST12-31, SH3640, PV42-142, PV42-53 and PV42-68 for present-ing good agronomical characteristics as well as resistance to Fusarium wilt.
650 $aBanana
653 $aDoença do Panamá
700 1 $aAMORIM, E. P.
700 1 $aMATOS, A. P. de
700 1 $aCORDEIRO, Z. J. M.
773 $tIn: INTERNATIONAL HORTICULTURAL CONGRESS, 28., 2010, Lisboa. Science and horticulture for people: programme & book of abstracts. Lisboa: ISHS, 2010. 1 CD-ROM.
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Registro original: |
Embrapa Mandioca e Fruticultura (CNPMF) |
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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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