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1. Identity statement
Reference TypeJournal Article
Sitemtc-m16d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP7W/3AP54R8
Repositorysid.inpe.br/mtc-m19/2011/11.07.12.19   (restricted access)
Last Update2012:01.03.12.36.10 (UTC) marciana
Metadata Repositorysid.inpe.br/mtc-m19/2011/11.07.12.19.39
Metadata Last Update2021:01.02.03.52.15 (UTC) administrator
Secondary KeyINPE--PRE/
DOI10.1007/s00704-010-0358-8
ISSN0177-798X
Citation KeyFerreiraRao:2011:ReClVa
TitleRecent climate variability and its impacts on soybean yields in Southern Brazil
Year2011
MonthAug.
Access Date2024, May 04
Secondary TypePRE PI
Number of Files1
Size1173 KiB
2. Context
Author1 Ferreira, DB
2 Rao, V. Brahmananda
Group1
2 DMD-CPT-INPE-MCT-BR
Affiliation1
2 Instituto Nacional de Pesquisas Espaciais (INPE)
JournalTheoretical and Applied Climatology
Volume105
Number1-2
Pages83-97
Secondary MarkB2_ASTRONOMIA_/_FÍSICA A2_CIÊNCIAS_AGRÁRIAS_I B1_GEOCIÊNCIAS A2_GEOGRAFIA A2_INTERDISCIPLINAR
History (UTC)2011-11-07 12:23:23 :: marciana -> administrator :: 2011
2011-11-07 12:23:34 :: administrator -> marciana :: 2011
2012-01-03 12:36:18 :: marciana -> administrator :: 2011
2012-10-09 21:09:06 :: administrator -> marciana :: 2011
2013-02-22 14:56:49 :: marciana -> administrator :: 2011
2021-01-02 03:52:15 :: administrator -> marciana :: 2011
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsEL-NINO
TEMPERATURE
TRENDS
PRECIPITATION
OSCILLATION
EXTREMES
AMERICA
AbstractRecent climate variability in rainfall, temperatures (maximum and minimum), and the diurnal temperature range is studied with emphasis on its influence over soybean yields in southern Brazil, during 1969 to 2002. The results showed that the soybean (Glycine max L. Merril) yields are more affected by changes in temperature during summer, while changes in rainfall are more important during the beginning of plantation and at its peak of development. Furthermore, soybean yields in Parana are more sensitive to rainfall variations, while soybean yields in the Rio Grande do Sul are more sensitive to variations in temperature. Effects of interannual climatic variability on soybean yields are evaluated through three agro-meteorological models: additive Stewart, multiplicative Rao, and multiplicative Jensen. The Jensen model is able to reproduce the interannual behavior of soybean yield reasonably well.
AreaMET
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDMD > Recent climate variability...
doc Directory Contentaccess
source Directory Contentthere are no files
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4. Conditions of access and use
Languageen
User Groupadministrator
marciana
Visibilityshown
Archiving Policydenypublisher denyfinaldraft12
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/mtc-m19@80/2009/08.21.17.02.53
Next Higher Units8JMKD3MGPCW/43SKC35
DisseminationWEBSCI; PORTALCAPES; MGA.
Host Collectionsid.inpe.br/mtc-m19@80/2009/08.21.17.02
6. Notes
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress electronicmailaddress format isbn label lineage mark nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup resumeid rightsholder schedulinginformation secondarydate session shorttitle sponsor subject targetfile tertiarymark tertiarytype typeofwork url
7. Description control
e-Mail (login)marciana
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