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Registro Completo |
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Biblioteca(s): |
Embrapa Algodão. |
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Data corrente: |
14/01/2020 |
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Data da última atualização: |
20/01/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
ARAÚJO, T. A.; ARAUJO, L. H. A.; SILVA, N. R.; LUZ, C. E. A.; SILVA, E. M. da; MOREIRA, M. D.; SUINAGA, F. A.; PICANÇO, M. C.; BASTOS, C. S. |
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Afiliação: |
Tamíris A. Araújo, Universidade Federal de Viçosa - UFV/Departamento de Entomologia; LUCIA HELENA AVELINO ARAUJO, CNPA; Nilson R. Silva, Universidade Federal de Sergipe - UFSE/Núcleo de Graduação em Agronomia; Carlos Eduardo A. Luz, Universidade de Brasília - UnB/ Instituto Central de Ciências Ala Sul/Faculdade de Agronomia e Medicina Veterinária; Ézio M. da Silva, Universidade Federal de Viçosa - UFV/Instituto de Ciências Agrárias; Márcio D. Moreira, Universidade Federal de Viçosa - UFV/Departamento de Entomologia; FABIO AKIYOSHI SUINAGA, CNPH; Marcelo C. Picanço, Universidade Federal de Viçosa - UFV/Departamento de Entomologia; Cristina S. Bastos, Universidade de Brasília - UnB/Instituto Central de Ciências/Faculdade de Agronomia e Medicina Veterinária Universidade de Brasília. |
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Título: |
Standardized sampling plan for Aphis gossypii based on the cotton cultivar, plant phenology and crop size. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Journal of Applied Entomology, v. 143, n. 8, p. 893-901, 2019. |
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Idioma: |
Inglês |
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Conteúdo: |
A standardized sampling plan is the starting point for developing a decision‐making system for pest control. Aphis gossypii (Hemiptera: Aphididae) is a destructive sapfeeding pest on cotton worldwide. However, research addressing cotton cultivar, plant phenology and field size with the aim of developing a sampling plan for A. gossypii has not been done. Therefore, in this study, we developed a standardized sampling for A. gossypii as a function of these factors. To accomplish this, A. gossypii densities in four experimental cotton cultivars were sampled weekly during year one to determine the ideal aphid characteristic to sample (by individual or colony). During year one and two, A. gossypii densities were sampled weekly in the same cultivars to determine sampling unit, sampling technique and the number of samples for an A. gossypii sampling plan. Using the sample number determined, the sampling time was recorded for cotton field size of 1, 5, 10, 50, 100 and 150 ha in order to estimate the sampling cost. In cotton, the count of individuals was the best characteristic for the assessment of A. gossypii. Leaves of the most apical branches for the vegetative and reproductive cotton plant stage were the best sampling units. The best sampling technique was direct counting. The cotton cultivar did not affect the development of the sampling plan. The A. gossypii sampling plan involved the evaluation of 58 samples per zone and required 20 min (<0.35 min/sample) for the evaluation of these samples. However, the walking time between samples was the main factor responsible for the total sampling time and cost in cotton fields, and this factor strongly depends on the size of the cotton field. MenosA standardized sampling plan is the starting point for developing a decision‐making system for pest control. Aphis gossypii (Hemiptera: Aphididae) is a destructive sapfeeding pest on cotton worldwide. However, research addressing cotton cultivar, plant phenology and field size with the aim of developing a sampling plan for A. gossypii has not been done. Therefore, in this study, we developed a standardized sampling for A. gossypii as a function of these factors. To accomplish this, A. gossypii densities in four experimental cotton cultivars were sampled weekly during year one to determine the ideal aphid characteristic to sample (by individual or colony). During year one and two, A. gossypii densities were sampled weekly in the same cultivars to determine sampling unit, sampling technique and the number of samples for an A. gossypii sampling plan. Using the sample number determined, the sampling time was recorded for cotton field size of 1, 5, 10, 50, 100 and 150 ha in order to estimate the sampling cost. In cotton, the count of individuals was the best characteristic for the assessment of A. gossypii. Leaves of the most apical branches for the vegetative and reproductive cotton plant stage were the best sampling units. The best sampling technique was direct counting. The cotton cultivar did not affect the development of the sampling plan. The A. gossypii sampling plan involved the evaluation of 58 samples per zone and required 20 min (<0.35 min/sample) for the evaluat... Mostrar Tudo |
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Palavras-Chave: |
Cotton aphid; Sampling technique; Sampling unit. |
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Thesagro: |
Gossypium Hirsutum. |
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Thesaurus Nal: |
Integrated pest management. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/208747/1/Standardized-sampling-plan-for-Aphis.pdf
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Marc: |
LEADER 02553naa a2200277 a 4500
001 2118721
005 2020-01-20
008 2019 bl uuuu u00u1 u #d
100 1 $aARAÚJO, T. A.
245 $aStandardized sampling plan for Aphis gossypii based on the cotton cultivar, plant phenology and crop size.$h[electronic resource]
260 $c2019
520 $aA standardized sampling plan is the starting point for developing a decision‐making system for pest control. Aphis gossypii (Hemiptera: Aphididae) is a destructive sapfeeding pest on cotton worldwide. However, research addressing cotton cultivar, plant phenology and field size with the aim of developing a sampling plan for A. gossypii has not been done. Therefore, in this study, we developed a standardized sampling for A. gossypii as a function of these factors. To accomplish this, A. gossypii densities in four experimental cotton cultivars were sampled weekly during year one to determine the ideal aphid characteristic to sample (by individual or colony). During year one and two, A. gossypii densities were sampled weekly in the same cultivars to determine sampling unit, sampling technique and the number of samples for an A. gossypii sampling plan. Using the sample number determined, the sampling time was recorded for cotton field size of 1, 5, 10, 50, 100 and 150 ha in order to estimate the sampling cost. In cotton, the count of individuals was the best characteristic for the assessment of A. gossypii. Leaves of the most apical branches for the vegetative and reproductive cotton plant stage were the best sampling units. The best sampling technique was direct counting. The cotton cultivar did not affect the development of the sampling plan. The A. gossypii sampling plan involved the evaluation of 58 samples per zone and required 20 min (<0.35 min/sample) for the evaluation of these samples. However, the walking time between samples was the main factor responsible for the total sampling time and cost in cotton fields, and this factor strongly depends on the size of the cotton field.
650 $aIntegrated pest management
650 $aGossypium Hirsutum
653 $aCotton aphid
653 $aSampling technique
653 $aSampling unit
700 1 $aARAUJO, L. H. A.
700 1 $aSILVA, N. R.
700 1 $aLUZ, C. E. A.
700 1 $aSILVA, E. M. da
700 1 $aMOREIRA, M. D.
700 1 $aSUINAGA, F. A.
700 1 $aPICANÇO, M. C.
700 1 $aBASTOS, C. S.
773 $tJournal of Applied Entomology$gv. 143, n. 8, p. 893-901, 2019.
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Registro original: |
Embrapa Algodão (CNPA) |
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Registro Completo
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Biblioteca(s): |
Embrapa Clima Temperado. |
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Data corrente: |
05/12/2023 |
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Data da última atualização: |
05/12/2023 |
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Autoria: |
DÍAZ, S.; KATTGE, J.; CORNELISSEN, J. H. C.; WRIGHT, I. J.; LAVOREL, S.; DRAY, S.; REU, B.; KLEYER, M.; WIRTH, C.; PRENTICE, I. C.; GARNIER, E.; BÖNISCH, G.; WESTOBY, M.; POORTER, H.; REICH, P. B.; MOLES, A. T.; DICKIE, J.; ZANNE, A. E.; CHAVE, J.; WRIGHT, S. J.; SHEREMETIEV, S. N.; JACTEL, H.; BARALOTO, C.; CERABOLINI, B. E. L.; PIERCE, S.; SHIPLEY, B.; CASANOVES, F.; JOSWIG, J. S.; GÜNTHER, A.; FALCZUK, V.; RÜGER, N.; MAHECHA, M. D.; GORNÉ, L. D.; AMIAUD, B.; ATKIN, O. K.; BAHN, M.; BALDOCCHI, D.; BECKMANN, M.; BLONDER, B.; BOND, W.; BOND-LAMBERTY, B.; BROWN, K.; BURRASCANO, S.; BYUN, C.; CAMPETELLA, G.; CAVENDER-BARES, J.; CHAPIN, F. S.; CHOAT, B.; COOMES, D. A.; CORNWELL, W. K.; CRAINE, J.; CRAVEN, D.; DAINESE, M.; ARAUJO, A. C. de; VRIES, F. T. de; DOMINGUES, T. F.; ENQUIST, B. J.; FAGÚNDEZ, J.; FANG, J.; FERNÁNDEZ-MÉNDEZ, F.; FERNANDEZ-PIEDADE, M. T.; FORD, H.; FOREY, E.; FRESCHET, G. T.; GACHET, S.; GALLAGHER, R.; GREEN, W.; GUERIN, G. R.; GUTIÉRREZ, A. G.; HARRISON, S. P.; HATTINGH, W. N.; HE, T.; HICKLER, T.; HIGGINS, S. I.; HIGUCHI, P.; ILIC, J.; JACKSON, R. B.; JALILI, A.; JANSEN, S.; KOIKE, F.; KÖNIG, C.; KRAFT, N.; KRAMER, K.; KREFT, H.; KÜHN, I.; KUROKAWA, H.; LAMB, E. G.; LAUGHLIN, D. C.; LEISHMAN, M.; LEWIS, S.; LOUAULT, F.; MALHADO, A. C. M.; MANNING, P.; MEIR, P.; MENCUCCINI, M.; MESSIER, J.; MILLER, R.; MINDEN, V.; MOLOFSKY, J.; MONTGOMERY, R.; MONTSERRAT-MARTÍ, G.; MORETTI, M.; MÜLLER, S.; NIINEMETS, Ü.; OGAYA, R.; ÖLLERER, K.; ONIPCHENKO, V.; ONODA, Y.; OZINGA, W. A.; PAUSAS, J. G.; PECO, B.; PENUELAS, J.; PILLAR, V. D.; PLADEVALL, C.; RÖMERMANN, C.; SACK, L.; SALINAS, N.; SANDEL, B.; SARDANS, J.; SCHAMP, B.; SCHERER-LORENZEN, M.; SCHULZE, E.; SCHWEINGRUBER, F.; SHIODERA, S.; SOSINSKI JUNIOR, E. E.; SOUDZILOVSKAIA, N.; SPASOJEVIC, M. J.; SWAINE, E.; SWENSON, N.; TAUTENHAHN, S.; THOMPSON, K.; TOTTE, A.; URRUTIA-JALABERT, R.; VALLADARES, F.; BODEGOM, P. V.; VASSEUR, F.; VERHEYEN, K.; VILE, D.; VIOLLE, C.; HOLLE, B. V.; WEIGELT, P.; WEIHER, E.; WIEMANN, M. C.; WILLIAMS, M.; WRIGHT, J.; ZOTZ, G. |
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Afiliação: |
SANDRA DÍAZ; JENS KATTGE; JOHANNES H. C. CORNELISSEN; IAN J. WRIGHT; SANDRA LAVOREL; STÉPHANE DRAY; BJÖRN REU; MICHAEL KLEYER; CHRISTIAN WIRTH; I. COLIN PRENTICE; ERIC GARNIER; GERHARD BÖNISCH; MARK WESTOBY; HENDRIK POORTER; PETER B. REICH; ANGELA T. MOLES; JOHN DICKIE; AMY E. ZANNE; JÉRÔME CHAVE; S. JOSEPH WRIGHT; SERGE N. SHEREMETIEV; HERVÉ JACTEL; CHRISTOPHER BARALOTO; BRUNO E. L. CERABOLINI; SIMON PIERCE; BILL SHIPLEY; FERNANDO CASANOVES; JULIA S. JOSWIG; ANGELA GÜNTHER; VALERIA FALCZUK; NADJA RÜGER; MIGUEL D. MAHECHA; LUCAS D. GORNÉ; BERNARD AMIAUD; OWEN K. ATKIN; MICHAEL BAHN; DENNIS BALDOCCHI; MICHAEL BECKMANN; BENJAMIN BLONDER; WILLIAM BOND; BEN BOND-LAMBERTY; KERRY BROWN; SABINA BURRASCANO; CHAEHO BYUN; GIANDIEGO CAMPETELLA; JEANNINE CAVENDER-BARES; F. STUART CHAPIN; BRENDAN CHOAT; DAVID ANTHONY COOMES; WILLIAM K. CORNWELL; JOSEPH CRAINE; DYLAN CRAVEN; MATTEO DAINESE; ALESSANDRO CARIOCA DE ARAUJO; FRANCISKA T. DE VRIES; TOMAS FERREIRA DOMINGUES; BRIAN J. ENQUIST; JAIME FAGÚNDEZ; JINGYUN FANG; FERNANDO FERNÁNDEZ-MÉNDEZ; MARIA T. FERNANDEZ-PIEDADE; HENRY FORD; ESTELLE FOREY; GREGOIRE T. FRESCHET; SOPHIE GACHET; RACHAEL GALLAGHER; WALTON GREEN; GREG R. GUERIN; ALVARO G. GUTIÉRREZ; SANDY P. HARRISON; WESLEY NEIL HATTINGH; TIANHUA HE; THOMAS HICKLER; STEVEN I. HIGGINS; PEDRO HIGUCHI; JUGO ILIC; ROBERT B. JACKSON; ADEL JALILI; STEVEN JANSEN; FUMITO KOIKE; CHRISTIAN KÖNIG; NATHAN KRAFT; KOEN KRAMER; HOLGER KREFT; INGOLF KÜHN; HIROKO KUROKAWA; ERIC G. LAMB; DANIEL C. LAUGHLIN; MICHELLE LEISHMAN; SIMON LEWIS; FRÉDÉRIQUE LOUAULT; ANA C. M. MALHADO; PETER MANNING; PATRICK MEIR; MAURIZIO MENCUCCINI; JULIE MESSIER; REGIS MILLER; VANESSA MINDEN; JANE MOLOFSKY; REBECCA MONTGOMERY; GABRIEL MONTSERRAT-MARTÍ; MARCO MORETTI; SANDRA MÜLLER; ÜLO NIINEMETS; ROMÀ OGAYA; KINGA ÖLLERER; VLADIMIR ONIPCHENKO; YUSUKE ONODA; WIM A. OZINGA; JULI G. PAUSAS; BEGOÑA PECO; JOSEP PENUELAS; VALÉRIO D. PILLAR; CLARA PLADEVALL; CHRISTINE RÖMERMANN; LAWREN SACK; NORMA SALINAS; BRODY SANDEL; JORDI SARDANS; BRANDON SCHAMP; MICHAEL SCHERER-LORENZEN; ERNST-DETLEF SCHULZE; FRITZ SCHWEINGRUBER; SATOMI SHIODERA; ENIO EGON SOSINSKI JUNIOR, CPACT; NADEJDA SOUDZILOVSKAIA; MARKO J. SPASOJEVIC; EMILY SWAINE; NATHAN SWENSON; SUSANNE TAUTENHAHN; KEN THOMPSON; ALEXIA TOTTE; ROCÍO URRUTIA-JALABERT; FERNANDO VALLADARES; PETER VAN BODEGOM; FRANÇOIS VASSEUR; KRIS VERHEYEN; DENIS VILE; CYRILLE VIOLLE; BETSY VON HOLLE; PATRICK WEIGELT; EVAN WEIHER; MICHAEL C. WIEMANN; MATHEW WILLIAMS; JUSTIN WRIGHT; GERHARD ZOTZ. |
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Título: |
The global spectrum of plant form and function: enhanced species-level trait dataset. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Scientific Data, v. 9, n. 1, 755, 2022. |
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Páginas: |
18 p. |
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ISSN: |
2052-4463 |
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DOI: |
https://doi.org/10.1038/s41597-022-01774-9 |
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Idioma: |
Inglês |
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Conteúdo: |
Here we provide the ‘Global Spectrum of Plant Form and Function Dataset’, containing species mean values for six vascular plant traits. Together, these traits –plant height, stem specific density, leaf area, leaf mass per area, leaf nitrogen content per dry mass, and diaspore (seed or spore) mass – define the primary axes of variation in plant form and function. The dataset is based on ca. 1 million trait records received via the TRY database (representing ca. 2,500 original publications) and additional unpublished data. It provides 92,159 species mean values for the six traits, covering 46,047 species. The data are complemented by higher-level taxonomic classification and six categorical traits (woodiness, growth form, succulence, adaptation to terrestrial or aquatic habitats, nutrition type and leaf type). Data quality management is based on a probabilistic approach combined with comprehensive validation against expert knowledge and external information. Intense data acquisition and thorough quality control produced the largest and, to our knowledge, most accurate compilation of empirically observed vascular plant species mean traits to date. |
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Palavras-Chave: |
Computer Science Applications; Library and Information Sciences; Statistics and Probability. |
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Thesagro: |
Estatística. |
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Thesaurus NAL: |
education; information systems. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 06107naa a2201969 a 4500
001 2159184
005 2023-12-05
008 2022 bl uuuu u00u1 u #d
022 $a2052-4463
024 7 $ahttps://doi.org/10.1038/s41597-022-01774-9$2DOI
100 1 $aDÍAZ, S.
245 $aThe global spectrum of plant form and function$benhanced species-level trait dataset.$h[electronic resource]
260 $c2022
300 $a18 p.
520 $aHere we provide the ‘Global Spectrum of Plant Form and Function Dataset’, containing species mean values for six vascular plant traits. Together, these traits –plant height, stem specific density, leaf area, leaf mass per area, leaf nitrogen content per dry mass, and diaspore (seed or spore) mass – define the primary axes of variation in plant form and function. The dataset is based on ca. 1 million trait records received via the TRY database (representing ca. 2,500 original publications) and additional unpublished data. It provides 92,159 species mean values for the six traits, covering 46,047 species. The data are complemented by higher-level taxonomic classification and six categorical traits (woodiness, growth form, succulence, adaptation to terrestrial or aquatic habitats, nutrition type and leaf type). Data quality management is based on a probabilistic approach combined with comprehensive validation against expert knowledge and external information. Intense data acquisition and thorough quality control produced the largest and, to our knowledge, most accurate compilation of empirically observed vascular plant species mean traits to date.
650 $aeducation
650 $ainformation systems
650 $aEstatística
653 $aComputer Science Applications
653 $aLibrary and Information Sciences
653 $aStatistics and Probability
700 1 $aKATTGE, J.
700 1 $aCORNELISSEN, J. H. C.
700 1 $aWRIGHT, I. J.
700 1 $aLAVOREL, S.
700 1 $aDRAY, S.
700 1 $aREU, B.
700 1 $aKLEYER, M.
700 1 $aWIRTH, C.
700 1 $aPRENTICE, I. C.
700 1 $aGARNIER, E.
700 1 $aBÖNISCH, G.
700 1 $aWESTOBY, M.
700 1 $aPOORTER, H.
700 1 $aREICH, P. B.
700 1 $aMOLES, A. T.
700 1 $aDICKIE, J.
700 1 $aZANNE, A. E.
700 1 $aCHAVE, J.
700 1 $aWRIGHT, S. J.
700 1 $aSHEREMETIEV, S. N.
700 1 $aJACTEL, H.
700 1 $aBARALOTO, C.
700 1 $aCERABOLINI, B. E. L.
700 1 $aPIERCE, S.
700 1 $aSHIPLEY, B.
700 1 $aCASANOVES, F.
700 1 $aJOSWIG, J. S.
700 1 $aGÜNTHER, A.
700 1 $aFALCZUK, V.
700 1 $aRÜGER, N.
700 1 $aMAHECHA, M. D.
700 1 $aGORNÉ, L. D.
700 1 $aAMIAUD, B.
700 1 $aATKIN, O. K.
700 1 $aBAHN, M.
700 1 $aBALDOCCHI, D.
700 1 $aBECKMANN, M.
700 1 $aBLONDER, B.
700 1 $aBOND, W.
700 1 $aBOND-LAMBERTY, B.
700 1 $aBROWN, K.
700 1 $aBURRASCANO, S.
700 1 $aBYUN, C.
700 1 $aCAMPETELLA, G.
700 1 $aCAVENDER-BARES, J.
700 1 $aCHAPIN, F. S.
700 1 $aCHOAT, B.
700 1 $aCOOMES, D. A.
700 1 $aCORNWELL, W. K.
700 1 $aCRAINE, J.
700 1 $aCRAVEN, D.
700 1 $aDAINESE, M.
700 1 $aARAUJO, A. C. de
700 1 $aVRIES, F. T. de
700 1 $aDOMINGUES, T. F.
700 1 $aENQUIST, B. J.
700 1 $aFAGÚNDEZ, J.
700 1 $aFANG, J.
700 1 $aFERNÁNDEZ-MÉNDEZ, F.
700 1 $aFERNANDEZ-PIEDADE, M. T.
700 1 $aFORD, H.
700 1 $aFOREY, E.
700 1 $aFRESCHET, G. T.
700 1 $aGACHET, S.
700 1 $aGALLAGHER, R.
700 1 $aGREEN, W.
700 1 $aGUERIN, G. R.
700 1 $aGUTIÉRREZ, A. G.
700 1 $aHARRISON, S. P.
700 1 $aHATTINGH, W. N.
700 1 $aHE, T.
700 1 $aHICKLER, T.
700 1 $aHIGGINS, S. I.
700 1 $aHIGUCHI, P.
700 1 $aILIC, J.
700 1 $aJACKSON, R. B.
700 1 $aJALILI, A.
700 1 $aJANSEN, S.
700 1 $aKOIKE, F.
700 1 $aKÖNIG, C.
700 1 $aKRAFT, N.
700 1 $aKRAMER, K.
700 1 $aKREFT, H.
700 1 $aKÜHN, I.
700 1 $aKUROKAWA, H.
700 1 $aLAMB, E. G.
700 1 $aLAUGHLIN, D. C.
700 1 $aLEISHMAN, M.
700 1 $aLEWIS, S.
700 1 $aLOUAULT, F.
700 1 $aMALHADO, A. C. M.
700 1 $aMANNING, P.
700 1 $aMEIR, P.
700 1 $aMENCUCCINI, M.
700 1 $aMESSIER, J.
700 1 $aMILLER, R.
700 1 $aMINDEN, V.
700 1 $aMOLOFSKY, J.
700 1 $aMONTGOMERY, R.
700 1 $aMONTSERRAT-MARTÍ, G.
700 1 $aMORETTI, M.
700 1 $aMÜLLER, S.
700 1 $aNIINEMETS, Ü.
700 1 $aOGAYA, R.
700 1 $aÖLLERER, K.
700 1 $aONIPCHENKO, V.
700 1 $aONODA, Y.
700 1 $aOZINGA, W. A.
700 1 $aPAUSAS, J. G.
700 1 $aPECO, B.
700 1 $aPENUELAS, J.
700 1 $aPILLAR, V. D.
700 1 $aPLADEVALL, C.
700 1 $aRÖMERMANN, C.
700 1 $aSACK, L.
700 1 $aSALINAS, N.
700 1 $aSANDEL, B.
700 1 $aSARDANS, J.
700 1 $aSCHAMP, B.
700 1 $aSCHERER-LORENZEN, M.
700 1 $aSCHULZE, E.
700 1 $aSCHWEINGRUBER, F.
700 1 $aSHIODERA, S.
700 1 $aSOSINSKI JUNIOR, E. E.
700 1 $aSOUDZILOVSKAIA, N.
700 1 $aSPASOJEVIC, M. J.
700 1 $aSWAINE, E.
700 1 $aSWENSON, N.
700 1 $aTAUTENHAHN, S.
700 1 $aTHOMPSON, K.
700 1 $aTOTTE, A.
700 1 $aURRUTIA-JALABERT, R.
700 1 $aVALLADARES, F.
700 1 $aBODEGOM, P. V.
700 1 $aVASSEUR, F.
700 1 $aVERHEYEN, K.
700 1 $aVILE, D.
700 1 $aVIOLLE, C.
700 1 $aHOLLE, B. V.
700 1 $aWEIGELT, P.
700 1 $aWEIHER, E.
700 1 $aWIEMANN, M. C.
700 1 $aWILLIAMS, M.
700 1 $aWRIGHT, J.
700 1 $aZOTZ, G.
773 $tScientific Data$gv. 9, n. 1, 755, 2022.
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