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Registro Completo |
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
31/01/2018 |
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Data da última atualização: |
11/11/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
ARROUAYS, D.; LEENAARS, J. G. B.; RICHER-DE-FORGES, A. C.; ADHIKARI, K.; BALLABIO, C.; GREVE, M.; GRUNDY, M.; GUERRERO, E.; HEMPEL, J.; HENGL, T.; HEUVELINK, G.; BATJES, N.; CARVALHO, E.; HARTEMINK, A.; HEWITT, A.; HONG, S.-Y.; KRASILNIKOV, P.; LAGACHERIE, P.; LELYK, G.; LIBOHOVA, Z.; LILLY, A.; MCBRATNEY, A.; MCKENZIE, N.; VASQUES, G. de M. |
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Afiliação: |
DOMINIQUE ARROUAYS, INRA; JOHAN G. B. LEENAARS, ISRIC; ANNE C. RICHER-DE-FORGES, INRA; KABINDRA ADHIKARI, AARHUS UNIVERSITY, TJELE, DENMARK; CRISTIANO BALLABIO, EUROPEAN COMMISSION-DG JRC; MOGENS GREVE, AARHUS UNIVERSITY, TJELE, DENMAR; MIKE GRUNDY, CSIRO; ELISEO GUERRERO, INEGI, MEXICO; JON HEMPEL, USDA-NATURAL RESOURCES CONSERVATION SERVICES; TOMISLAV HENGL, ISRIC; GERARD HEUVELINK, ISRIC-WORLD SOIL INFORMATION; NIELS BATJES, ISRIC-WORLD SOIL INFORMATION; ELOI CARVALHO, ISRIC-WORLD SOIL INFORMATION; ALFRED HARTEMINK, UNIVERSITY OF WISCONSIN; ALAN HEWITT, LANDCARE RESEARCH, NEW ZEALAND; SUK-YOUNG HONG, NATIONAL ACADEMY OF AGRICULTURAL SCIENCE, REPUBLIC OF KOREA; PAVEL KRASILNIKOV, LOMONOSOV MOSCOW STATE UNIVERSITY; PHILIPPE LAGACHERIE, INRA-IRD-Supagro; GLEN LELYK, AGRICULTURE AND AGRI-FOOD CANADA; ZAMIR LIBOHOVA, USDA-NATURAL RESOURCES CONSERVATION SERVICES; ALLAN LILLY, THE JAMES HUTTON INSTITUTE, SCOTLAND; ALEX MCBRATNEY, UNIVERSITY OF SYDNEY; NEIL MCKENZIE, CSIRO; GUSTAVO DE MATTOS VASQUES, CNPS. |
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Título: |
Soil legacy data rescue via GlobalSoilMap and other international and national initiatives. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
GeoResJ, v. 14, p. 1-19, Dec. 2017. |
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DOI: |
https://doi.org/10.1016/j.grj.2017.06.001 |
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Idioma: |
Inglês |
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Conteúdo: |
Legacy soil data have been produced over 70 years in nearly all countries of the world. Unfortunately, data, information and knowledge are still currently fragmented and at risk of getting lost if they remain in a paper format. To process this legacy data into consistent, spatially explicit and continuous global soil information, data are being rescued and compiled into databases. Thousands of soil survey reports and maps have been scanned and made available online. The soil profile data reported by these data sources have been captured and compiled into databases. The total number of soil profiles rescued in the selected countries is about 800,000. Currently, data for 117, 000 profiles are compiled and harmonized according to GlobalSoilMap specifications in a world level database (WoSIS). The results presented at the country level are likely to be an underestimate. The majority of soil data is still not rescued and this effort should be pursued. The data have been used to produce soil property maps. We discuss the pro and cons of top-down and bottom-up approaches to produce such maps and we stress their complementarity. We give examples of success stories. The first global soil property maps using rescued data were produced by a top-down approach and were released at a limited resolution of 1 km in 2014, followed by an update at a resolution of 250 m in 2017. By the end of 2020, we aim to deliver the first worldwide product that fully meets the GlobalSoilMap specifications. |
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Palavras-Chave: |
GlobalSoilMap; Resgate de dados de solo. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02681naa a2200433 a 4500
001 2086773
005 2021-11-11
008 2017 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.grj.2017.06.001$2DOI
100 1 $aARROUAYS, D.
245 $aSoil legacy data rescue via GlobalSoilMap and other international and national initiatives.$h[electronic resource]
260 $c2017
520 $aLegacy soil data have been produced over 70 years in nearly all countries of the world. Unfortunately, data, information and knowledge are still currently fragmented and at risk of getting lost if they remain in a paper format. To process this legacy data into consistent, spatially explicit and continuous global soil information, data are being rescued and compiled into databases. Thousands of soil survey reports and maps have been scanned and made available online. The soil profile data reported by these data sources have been captured and compiled into databases. The total number of soil profiles rescued in the selected countries is about 800,000. Currently, data for 117, 000 profiles are compiled and harmonized according to GlobalSoilMap specifications in a world level database (WoSIS). The results presented at the country level are likely to be an underestimate. The majority of soil data is still not rescued and this effort should be pursued. The data have been used to produce soil property maps. We discuss the pro and cons of top-down and bottom-up approaches to produce such maps and we stress their complementarity. We give examples of success stories. The first global soil property maps using rescued data were produced by a top-down approach and were released at a limited resolution of 1 km in 2014, followed by an update at a resolution of 250 m in 2017. By the end of 2020, we aim to deliver the first worldwide product that fully meets the GlobalSoilMap specifications.
653 $aGlobalSoilMap
653 $aResgate de dados de solo
700 1 $aLEENAARS, J. G. B.
700 1 $aRICHER-DE-FORGES, A. C.
700 1 $aADHIKARI, K.
700 1 $aBALLABIO, C.
700 1 $aGREVE, M.
700 1 $aGRUNDY, M.
700 1 $aGUERRERO, E.
700 1 $aHEMPEL, J.
700 1 $aHENGL, T.
700 1 $aHEUVELINK, G.
700 1 $aBATJES, N.
700 1 $aCARVALHO, E.
700 1 $aHARTEMINK, A.
700 1 $aHEWITT, A.
700 1 $aHONG, S.-Y.
700 1 $aKRASILNIKOV, P.
700 1 $aLAGACHERIE, P.
700 1 $aLELYK, G.
700 1 $aLIBOHOVA, Z.
700 1 $aLILLY, A.
700 1 $aMCBRATNEY, A.
700 1 $aMCKENZIE, N.
700 1 $aVASQUES, G. de M.
773 $tGeoResJ$gv. 14, p. 1-19, Dec. 2017.
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Registro original: |
Embrapa Solos (CNPS) |
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Biblioteca |
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Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
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Registro Completo
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Biblioteca(s): |
Embrapa Café. |
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Data corrente: |
18/02/2011 |
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Data da última atualização: |
07/07/2011 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
SETOTAW, T. A.; CAIXETA, E. T.; PENA, G F.; ZAMBOLIM, E. M.; PEREIRA, A. A. |
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Afiliação: |
TESFAHUN ALEMU SETOTAW, Universidade Federal de Viçosa; EVELINE TEIXEIRA CAIXETA, SAPC; GULHERME FERREIRA PENA, Universidade Federal de Voçosa; EUNIZE MACIEL ZAMBOLIM, Universidade Federal de Viçosa; ANTONIO ALVES PEREIRA, EPAMIG. |
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Título: |
Breeding potential and genetic diversity of "híbrido do timor" coffee evaluated by molecular markers. |
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Ano de publicação: |
2010 |
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Fonte/Imprenta: |
CROP BREEDING AND APPLIED BIOTECHNOLOGY, v. 10, p. 289-304. 2010. |
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Páginas: |
289-304 |
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Idioma: |
Inglês |
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Conteúdo: |
AFLP, RAPD and SSR molecular markers were used to study the genetic diversity and genetic structure of the Híbrido de Timor germplasm. The principal coordinate analysis, UPGMA cluster analysis based on genetic dissimilarity of Jaccard, Bayesian model-based cluster analysis, percentage of polymorphic loci, Shannon?s information index and Nei gene diversity were employed to assess the genetic diversity. The analyses demonstrated a high genetic diversity among Híbrido de Timor accessions. UPGMA and Bayesian cluster analyses grouped the accessions into three clusters. The genetic structure of Híbrido de Timor is reported. The management of Híbrido de Timor germplasm variability and its potential use in breedin programs are discussed. |
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Palavras-Chave: |
Bayesian analysis; Coffee breeding; DNA markers; Principal coordinate analysis; Rust resistance. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/29346/1/Breeding-potential.pdf
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Marc: |
LEADER 01475naa a2200241 a 4500
001 1880496
005 2011-07-07
008 2010 bl uuuu u00u1 u #d
100 1 $aSETOTAW, T. A.
245 $aBreeding potential and genetic diversity of "híbrido do timor" coffee evaluated by molecular markers.$h[electronic resource]
260 $c2010
300 $a289-304
520 $aAFLP, RAPD and SSR molecular markers were used to study the genetic diversity and genetic structure of the Híbrido de Timor germplasm. The principal coordinate analysis, UPGMA cluster analysis based on genetic dissimilarity of Jaccard, Bayesian model-based cluster analysis, percentage of polymorphic loci, Shannon?s information index and Nei gene diversity were employed to assess the genetic diversity. The analyses demonstrated a high genetic diversity among Híbrido de Timor accessions. UPGMA and Bayesian cluster analyses grouped the accessions into three clusters. The genetic structure of Híbrido de Timor is reported. The management of Híbrido de Timor germplasm variability and its potential use in breedin programs are discussed.
653 $aBayesian analysis
653 $aCoffee breeding
653 $aDNA markers
653 $aPrincipal coordinate analysis
653 $aRust resistance
700 1 $aCAIXETA, E. T.
700 1 $aPENA, G F.
700 1 $aZAMBOLIM, E. M.
700 1 $aPEREIRA, A. A.
773 $tCROP BREEDING AND APPLIED BIOTECHNOLOGY$gv. 10, p. 289-304. 2010.
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