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Registro Completo |
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Biblioteca(s): |
Biblioteca Rui Tendinha. |
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Data corrente: |
06/01/2015 |
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Data da última atualização: |
01/09/2015 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
MARTINS, D. dos S.; FORNAZIER, M. J.; CULIK, M. P.; VENTURA, J. A.; FERREIRA, P. S. F.; ZANUNCIO, J. C. |
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Afiliação: |
David dos Santos Martins, Incaper; Mauricio José Fornazier, Incaper; Mark Paul Culik, CNPq/Incaper; Jose Aires Ventura, Incaper. |
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Título: |
Scale Insect (Hemiptera: Coccoidea) Pests of Papaya (Carica papaya) in Brazil. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Annals of the Entomological Society of America, 2014. |
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DOI: |
10.1093/aesa/sau010 |
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Idioma: |
Inglês |
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Conteúdo: |
Scale insects (Hemiptera: Coccoidea) are widely distributed sap-feeding insects that damage a wide variety of plants, and reduce the productivity and commercial value of many crops, including fruits such as papaya (Carica papaya). These pests cause direct and indirect damage to papaya and other plants, and some species of this group are of quarantine importance and, thus, affect export and import of papaya fruit. To determine which species of scale insects commonly occur on papaya in Brazil, a survey of the scale insects on this crop was conducted over four years in commercial orchards located in the principal production regions of papaya in this country. Six species of scale insects were collected: Aonidiella comperei McKenzie, Coccus hesperidum L., Dysmicoccus grassii (Leonardi), Phenacoccus solenopsis Tinsley, a Pseudococcus species, and Selenaspidus articulatus (Morgan). The armored scale A. comperei often causes severe damage to the crop and was the most common and widely distributed scale insect species found on papaya in Brazil in this study. This is the first report of A. comperei on papaya in the States of Bahia, Ceara´ , Minas Gerais, and Paraı´ba, and of Co. hesperidum on papaya in Bahia, Ceara´ , and Rio Grande do Norte, Brazil. Information on the geographic distribution of scale insects that have been recorded on papaya worldwide and in Brazil is summarized. |
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Thesaurus NAL: |
Aonidiella comperei; Coccus hesperidum; Dysmicoccus grassii; Phenacoccus solenopsis; Pseudococcus sp. |
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Categoria do assunto: |
-- |
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URL: |
http://biblioteca.incaper.es.gov.br/digital/bitstream/item/428/1/aesa.sau010.full.pdf
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Marc: |
LEADER 02162naa a2200253 a 4500
001 1004777
005 2015-09-01
008 2014 bl uuuu u00u1 u #d
024 7 $a10.1093/aesa/sau010$2DOI
100 1 $aMARTINS, D. dos S.
245 $aScale Insect (Hemiptera$bCoccoidea) Pests of Papaya (Carica papaya) in Brazil.$h[electronic resource]
260 $c2014
520 $aScale insects (Hemiptera: Coccoidea) are widely distributed sap-feeding insects that damage a wide variety of plants, and reduce the productivity and commercial value of many crops, including fruits such as papaya (Carica papaya). These pests cause direct and indirect damage to papaya and other plants, and some species of this group are of quarantine importance and, thus, affect export and import of papaya fruit. To determine which species of scale insects commonly occur on papaya in Brazil, a survey of the scale insects on this crop was conducted over four years in commercial orchards located in the principal production regions of papaya in this country. Six species of scale insects were collected: Aonidiella comperei McKenzie, Coccus hesperidum L., Dysmicoccus grassii (Leonardi), Phenacoccus solenopsis Tinsley, a Pseudococcus species, and Selenaspidus articulatus (Morgan). The armored scale A. comperei often causes severe damage to the crop and was the most common and widely distributed scale insect species found on papaya in Brazil in this study. This is the first report of A. comperei on papaya in the States of Bahia, Ceara´ , Minas Gerais, and Paraı´ba, and of Co. hesperidum on papaya in Bahia, Ceara´ , and Rio Grande do Norte, Brazil. Information on the geographic distribution of scale insects that have been recorded on papaya worldwide and in Brazil is summarized.
650 $aAonidiella comperei
650 $aCoccus hesperidum
650 $aDysmicoccus grassii
650 $aPhenacoccus solenopsis
650 $aPseudococcus sp
700 1 $aFORNAZIER, M. J.
700 1 $aCULIK, M. P.
700 1 $aVENTURA, J. A.
700 1 $aFERREIRA, P. S. F.
700 1 $aZANUNCIO, J. C.
773 $tAnnals of the Entomological Society of America, 2014.
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Registro original: |
Biblioteca Rui Tendinha (BRT) |
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Fechar
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Registro Completo |
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Biblioteca(s): |
Biblioteca Rui Tendinha. |
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Data corrente: |
03/09/2019 |
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Data da última atualização: |
03/09/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
- - - |
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Autoria: |
SCHMILDT, O.; SANTANA, E. N. de.; OLIVEIRA, V. de S.; GOUVEA, R. R.; SOUZA, L. C.; SANTOS, A. N. M. R.; SILVA, S. M.; SANTOS, K. T. H. dos; SANTOS, G. P.; FANTON, C. J.; DOUSSEAU, S.; SCHMILDT, E. R. |
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Afiliação: |
Omar Schmildt, UFES; Enilton Nascimento de Santana, Incaper; Vinicius de Souza Oliveira, UFES; Rafael Ruy Gouvea, UFES; Lucas Corrêa Souza, Incaper; Alba Nise Merícia Rocha Santos, Incaper; Sirlane Machado Silva, Incaper; Karina Tiemi Hassuda dos Santos, UFES; Gleyce Pereira Santos, UFES; Cesar José Fanton, Incaper; Sara Dousseau Arantes, Incaper; Edilson Romais Schmildt, UFES. |
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Título: |
Estimation of leaf area by linear dimensions in coffea dewevrei. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
International Journal of Plant & Soil Science, v. 28, n. 6, p. 1-8, 2019. |
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DOI: |
10.9734/ijpss/2019/v28i630129 |
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Idioma: |
Inglês |
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Conteúdo: |
The objective of this research was to select the equation that best estimates the leaf area of the coffee tree Coffea dewevrei, from the linear dimensions of the leaves. For this purpose, 140 leaves of adult plants were collected from the Capixaba Institute for Research, Technical Assistance and Rural Extension, in the city of Linhares, North of the State of Espírito Santo, Brazil. The length (L), the width (W), the product of the multiplication between the length and width (LW) and the leaf area observed (OLA) were determined from all leaves. For the modeling, a 100 leaves sample was used, where OLA was used as a dependent variable in function of L, W and LW as independent variable, being obtained the following models: linear first degree, quadratic and power. For the validation, a sample of 40 leaves was used, where the values of L, W LW were substituted in the equations generated in the modeling, thus obtaining the estimated leaf area (ELA). A simple linear equation model was fitted for each modeling equation relating ELA in function of OLA. The hypotheses H0: β0 = 0 versus Ha: β0 ≠ 0 and H0: β1 = 1 versus Ha: β1 ≠ 1, were tested using Student's t test at 5% probability. The mean absolute error (MAE), root mean square error (RMSE) and Willmott's index d for all equations were also determined. The best model that estimates the area of Coffea dewevrei was chosen through the following criteria: β0 not different from zero, β1 not different from one, MAE and RMSE values closer to zero and index d closer to the unit. The area of the leaves can be determined by its greater width (W), through the quadratic model equation ELA=-10.255+1.020(W)+1.293(W)2. MenosThe objective of this research was to select the equation that best estimates the leaf area of the coffee tree Coffea dewevrei, from the linear dimensions of the leaves. For this purpose, 140 leaves of adult plants were collected from the Capixaba Institute for Research, Technical Assistance and Rural Extension, in the city of Linhares, North of the State of Espírito Santo, Brazil. The length (L), the width (W), the product of the multiplication between the length and width (LW) and the leaf area observed (OLA) were determined from all leaves. For the modeling, a 100 leaves sample was used, where OLA was used as a dependent variable in function of L, W and LW as independent variable, being obtained the following models: linear first degree, quadratic and power. For the validation, a sample of 40 leaves was used, where the values of L, W LW were substituted in the equations generated in the modeling, thus obtaining the estimated leaf area (ELA). A simple linear equation model was fitted for each modeling equation relating ELA in function of OLA. The hypotheses H0: β0 = 0 versus Ha: β0 ≠ 0 and H0: β1 = 1 versus Ha: β1 ≠ 1, were tested using Student's t test at 5% probability. The mean absolute error (MAE), root mean square error (RMSE) and Willmott's index d for all equations were also determined. The best model that estimates the area of Coffea dewevrei was chosen through the following criteria: β0 not different from zero, β1 not diff... Mostrar Tudo |
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Thesaurus NAL: |
Coffea dewevrei; Mathematical models; Non-destructive method. |
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Categoria do assunto: |
-- |
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URL: |
https://biblioteca.incaper.es.gov.br/digital/bitstream/123456789/3788/1/cafe-enilton-santana.pdf
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Marc: |
LEADER 02611naa a2200301 a 4500
001 1021649
005 2019-09-03
008 2019 bl uuuu u00u1 u #d
024 7 $a10.9734/ijpss/2019/v28i630129$2DOI
100 1 $aSCHMILDT, O.
245 $aEstimation of leaf area by linear dimensions in coffea dewevrei.$h[electronic resource]
260 $c2019
520 $aThe objective of this research was to select the equation that best estimates the leaf area of the coffee tree Coffea dewevrei, from the linear dimensions of the leaves. For this purpose, 140 leaves of adult plants were collected from the Capixaba Institute for Research, Technical Assistance and Rural Extension, in the city of Linhares, North of the State of Espírito Santo, Brazil. The length (L), the width (W), the product of the multiplication between the length and width (LW) and the leaf area observed (OLA) were determined from all leaves. For the modeling, a 100 leaves sample was used, where OLA was used as a dependent variable in function of L, W and LW as independent variable, being obtained the following models: linear first degree, quadratic and power. For the validation, a sample of 40 leaves was used, where the values of L, W LW were substituted in the equations generated in the modeling, thus obtaining the estimated leaf area (ELA). A simple linear equation model was fitted for each modeling equation relating ELA in function of OLA. The hypotheses H0: β0 = 0 versus Ha: β0 ≠ 0 and H0: β1 = 1 versus Ha: β1 ≠ 1, were tested using Student's t test at 5% probability. The mean absolute error (MAE), root mean square error (RMSE) and Willmott's index d for all equations were also determined. The best model that estimates the area of Coffea dewevrei was chosen through the following criteria: β0 not different from zero, β1 not different from one, MAE and RMSE values closer to zero and index d closer to the unit. The area of the leaves can be determined by its greater width (W), through the quadratic model equation ELA=-10.255+1.020(W)+1.293(W)2.
650 $aCoffea dewevrei
650 $aMathematical models
650 $aNon-destructive method
700 1 $aSANTANA, E. N. de.
700 1 $aOLIVEIRA, V. de S.
700 1 $aGOUVEA, R. R.
700 1 $aSOUZA, L. C.
700 1 $aSANTOS, A. N. M. R.
700 1 $aSILVA, S. M.
700 1 $aSANTOS, K. T. H. dos
700 1 $aSANTOS, G. P.
700 1 $aFANTON, C. J.
700 1 $aDOUSSEAU, S.
700 1 $aSCHMILDT, E. R.
773 $tInternational Journal of Plant & Soil Science$gv. 28, n. 6, p. 1-8, 2019.
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Biblioteca Rui Tendinha (BRT) |
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