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| Registros recuperados : 11 | |
| 10. |  | DAZZO, F. B.; HOLLINGSWORTH, R. I.; HOLLINGSWORTH, S. P.; SMITH, K. B.; WELSCH, M. A.; DJORDJEVIC, M.; ROLFE, B. G. Early recognition signals in the Rhizobium trifolii white clover symbiosis. In: Cell to Cell Signals in Plant, Animal and Microbial Symbiosis., v., p.183-187, 1988.| Biblioteca(s): Embrapa Agrobiologia. |
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| 11. | | ARISTIZÁBAL, L. F.; SHRINER, S.; HOLLINGSWORTH, R.; MASCARIN, G. M.; CHAVES, B.; MATSUMOTO, T.; ARTHURS, S. P. Field sampling strategies for coffee berry borer (Coleoptera: Curculionidae: Scolytinae) infesting berries in coffee farms in Hawaii. International Journal of Tropical Insect Science, v. 38, n. 4, p. 418?426, 2018.| Biblioteca(s): Embrapa Meio Ambiente. |
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| Registros recuperados : 11 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Meio Ambiente. Para informações adicionais entre em contato com cnpma.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
08/11/2018 |
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Data da última atualização: |
08/11/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 2 |
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Autoria: |
ARISTIZÁBAL, L. F.; SHRINER, S.; HOLLINGSWORTH, R.; MASCARIN, G. M.; CHAVES, B.; MATSUMOTO, T.; ARTHURS, S. P. |
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Afiliação: |
LUIS F ARISTIZABAL; SUZANNE SCHRINER, Synergistic Hawaii Agriculture Council; ROBERT HOLLINGSWORTH, Daniel K. Inouye US Pacific Basin Agricultural Research Center; GABRIEL MOURA MASCARIN, CNPMA; BERNARDO CHAVES, Washington State University; TRAICE MATSUMOTO, Daniel K. Inouye US Pacific Basin Agricultural Research Center; STEVEN P ARTHURS, Texas A&M University. |
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Título: |
Field sampling strategies for coffee berry borer (Coleoptera: Curculionidae: Scolytinae) infesting berries in coffee farms in Hawaii. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
International Journal of Tropical Insect Science, v. 38, n. 4, p. 418?426, 2018. |
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ISSN: |
1742-7592 |
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DOI: |
https://doi.org/10.1017/S174275841800022X |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: The coffee berry borer (CBB), Hypothenemus hampei Ferrari, a recent invader to Hawaii, is impacting coffee growers by reducing yields and quality and increasing production costs. Monitoring strategies are needed to assess infestations and where control operations are warranted, and evaluate their effectiveness. To develop and validate a fixed-precision sequential sampling plan, an intensive CBB sampling programme was conducted in 17 small farms in Kona and Kau districts in the Big Island in 2016/17. At each location, 30 trees/ha were monitored at 2-4 week intervals. Results show that the CBB has an aggregated spatial distribution based on Taylor's power law parameters. According to Green's stop line formula, between 6 and 50 coffee branches per ha (sample unit) are required to estimate infestation rates of 1.5-2.5% infested green berries (suggested economic threshold) with a precision fixed at 10 to 25%. Concurrently, a modified strategy was tested on 14 farms, in which only infested green berries (not total) was counted. The standard and modified sampling methods were highly correlated (R2 >- 0.98), while the modified approach required on average only 35 min (27% less time) to complete, with an additional 24 min taken to observe the position of the CBB inside the berry. Our data also show that berry infestation rates of CBB prior to harvest were a good predictor of the total defects resulting in processed green coffee from these farms (Pearson's r coefficient of 0.82). Our findings support improved sampling for the CBB under Hawaiian conditions using a simpler and faster monitoring strategy based on counting green infested berries. MenosAbstract: The coffee berry borer (CBB), Hypothenemus hampei Ferrari, a recent invader to Hawaii, is impacting coffee growers by reducing yields and quality and increasing production costs. Monitoring strategies are needed to assess infestations and where control operations are warranted, and evaluate their effectiveness. To develop and validate a fixed-precision sequential sampling plan, an intensive CBB sampling programme was conducted in 17 small farms in Kona and Kau districts in the Big Island in 2016/17. At each location, 30 trees/ha were monitored at 2-4 week intervals. Results show that the CBB has an aggregated spatial distribution based on Taylor's power law parameters. According to Green's stop line formula, between 6 and 50 coffee branches per ha (sample unit) are required to estimate infestation rates of 1.5-2.5% infested green berries (suggested economic threshold) with a precision fixed at 10 to 25%. Concurrently, a modified strategy was tested on 14 farms, in which only infested green berries (not total) was counted. The standard and modified sampling methods were highly correlated (R2 >- 0.98), while the modified approach required on average only 35 min (27% less time) to complete, with an additional 24 min taken to observe the position of the CBB inside the berry. Our data also show that berry infestation rates of CBB prior to harvest were a good predictor of the total defects resulting in processed green coffee from these farms (Pearson's r coefficient of 0... Mostrar Tudo |
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Palavras-Chave: |
Broca do café; Sequential sampling plan. |
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Thesagro: |
Café; Hypothenemus Hampei; Praga de Planta. |
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Thesaurus NAL: |
Pest monitoring; Plant pests. |
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Categoria do assunto: |
H Saúde e Patologia |
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Marc: |
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008 2018 bl uuuu u00u1 u #d
022 $a1742-7592
024 7 $ahttps://doi.org/10.1017/S174275841800022X$2DOI
100 1 $aARISTIZÁBAL, L. F.
245 $aField sampling strategies for coffee berry borer (Coleoptera$bCurculionidae: Scolytinae) infesting berries in coffee farms in Hawaii.$h[electronic resource]
260 $c2018
520 $aAbstract: The coffee berry borer (CBB), Hypothenemus hampei Ferrari, a recent invader to Hawaii, is impacting coffee growers by reducing yields and quality and increasing production costs. Monitoring strategies are needed to assess infestations and where control operations are warranted, and evaluate their effectiveness. To develop and validate a fixed-precision sequential sampling plan, an intensive CBB sampling programme was conducted in 17 small farms in Kona and Kau districts in the Big Island in 2016/17. At each location, 30 trees/ha were monitored at 2-4 week intervals. Results show that the CBB has an aggregated spatial distribution based on Taylor's power law parameters. According to Green's stop line formula, between 6 and 50 coffee branches per ha (sample unit) are required to estimate infestation rates of 1.5-2.5% infested green berries (suggested economic threshold) with a precision fixed at 10 to 25%. Concurrently, a modified strategy was tested on 14 farms, in which only infested green berries (not total) was counted. The standard and modified sampling methods were highly correlated (R2 >- 0.98), while the modified approach required on average only 35 min (27% less time) to complete, with an additional 24 min taken to observe the position of the CBB inside the berry. Our data also show that berry infestation rates of CBB prior to harvest were a good predictor of the total defects resulting in processed green coffee from these farms (Pearson's r coefficient of 0.82). Our findings support improved sampling for the CBB under Hawaiian conditions using a simpler and faster monitoring strategy based on counting green infested berries.
650 $aPest monitoring
650 $aPlant pests
650 $aCafé
650 $aHypothenemus Hampei
650 $aPraga de Planta
653 $aBroca do café
653 $aSequential sampling plan
700 1 $aSHRINER, S.
700 1 $aHOLLINGSWORTH, R.
700 1 $aMASCARIN, G. M.
700 1 $aCHAVES, B.
700 1 $aMATSUMOTO, T.
700 1 $aARTHURS, S. P.
773 $tInternational Journal of Tropical Insect Science$gv. 38, n. 4, p. 418?426, 2018.
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