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 | Acesso ao texto completo restrito à biblioteca da Embrapa Milho e Sorgo. Para informações adicionais entre em contato com cnpms.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
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Data corrente: |
05/02/2014 |
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Data da última atualização: |
17/05/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
MATONYEI, T. K.; CHEPROT, R. K.; LIU, J.; PIÑEROS, M. A.; SHAFF, J. E.; GUDU, S.; WERE, B.; MAGALHAES, J. V.; KOCHIAN, L. V. |
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Afiliação: |
JURANDIR VIEIRA DE MAGALHAES, CNPMS. |
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Título: |
Physiological and molecular analysis of aluminum tolerance in selected Kenyan maize lines. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Plant and Soil, Dordrecht, v. 377, p. 357-367, 2014. |
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DOI: |
10.1007/s11104-013-1976-6 |
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Idioma: |
Inglês |
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Conteúdo: |
Aims Aluminum (Al) toxicity is an important limitation to maize production in many tropical and sub-tropical acid soil areas. The aim of this study was to survey the variation in Al tolerance in a panel of maize lines adapted for Kenya and look for novel sources of Al tolerance. Methods 112 Kenyan maize accessions were phenotyped for Al tolerance in solution culture. Several Al tolerance-related parameters including relative net root growth (RNRG), root apex Al accumulation, Al-activated root organic acid exudation, and expression of the maize Al tolerance gene, ZmMATE1, were used to classify Kenyan maize accessions. Results Based on RNRG, 42 %, 28 %, and 30 % of the lines were classified as highly tolerant, moderately tolerant and sensitive, respectively. Tolerant accessions accumulated less Al in their root apices compared to sensitive lines. The Kenyan maize line, CON 5, and the Brazilian standard for tolerance, Cateto, exhibited the greatest Al tolerance based on RNRG, but CON 5 had only about 50 % of ZmMATE1 gene expression relative to Cateto. CON 5 also had low root apex Al content and high citrate exudation, suggesting that it may employ a citrate transporter other than ZmMATE1. Conclusions We identified a very Al tolerant Kenyan maize line whose Al tolerance may be based in part on a novel tolerance gene. The maize lines identified in this study are useful germplasm for the development of varieties suitable for agriculture on acid soils in Kenya. |
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Palavras-Chave: |
Toxicidade. |
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Thesagro: |
Alumínio. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02199naa a2200253 a 4500
001 1978688
005 2017-05-17
008 2014 bl uuuu u00u1 u #d
024 7 $a10.1007/s11104-013-1976-6$2DOI
100 1 $aMATONYEI, T. K.
245 $aPhysiological and molecular analysis of aluminum tolerance in selected Kenyan maize lines.$h[electronic resource]
260 $c2014
520 $aAims Aluminum (Al) toxicity is an important limitation to maize production in many tropical and sub-tropical acid soil areas. The aim of this study was to survey the variation in Al tolerance in a panel of maize lines adapted for Kenya and look for novel sources of Al tolerance. Methods 112 Kenyan maize accessions were phenotyped for Al tolerance in solution culture. Several Al tolerance-related parameters including relative net root growth (RNRG), root apex Al accumulation, Al-activated root organic acid exudation, and expression of the maize Al tolerance gene, ZmMATE1, were used to classify Kenyan maize accessions. Results Based on RNRG, 42 %, 28 %, and 30 % of the lines were classified as highly tolerant, moderately tolerant and sensitive, respectively. Tolerant accessions accumulated less Al in their root apices compared to sensitive lines. The Kenyan maize line, CON 5, and the Brazilian standard for tolerance, Cateto, exhibited the greatest Al tolerance based on RNRG, but CON 5 had only about 50 % of ZmMATE1 gene expression relative to Cateto. CON 5 also had low root apex Al content and high citrate exudation, suggesting that it may employ a citrate transporter other than ZmMATE1. Conclusions We identified a very Al tolerant Kenyan maize line whose Al tolerance may be based in part on a novel tolerance gene. The maize lines identified in this study are useful germplasm for the development of varieties suitable for agriculture on acid soils in Kenya.
650 $aAlumínio
653 $aToxicidade
700 1 $aCHEPROT, R. K.
700 1 $aLIU, J.
700 1 $aPIÑEROS, M. A.
700 1 $aSHAFF, J. E.
700 1 $aGUDU, S.
700 1 $aWERE, B.
700 1 $aMAGALHAES, J. V.
700 1 $aKOCHIAN, L. V.
773 $tPlant and Soil, Dordrecht$gv. 377, p. 357-367, 2014.
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Registro original: |
Embrapa Milho e Sorgo (CNPMS) |
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Biblioteca |
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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
16/05/2017 |
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Data da última atualização: |
10/05/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
KASTEN, J. H.; BROWN, J. C.; COUTINHO, A. C.; BISHOP, C. R.; ESQUERDO, J. C. D. M. |
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Afiliação: |
JUDE H. KASTENS, University of Kansas.; J. CHRISTOPHER BROWN, University of Kansas; ALEXANDRE CAMARGO COUTINHO, CNPTIA; CHRISTOPHER R. BISHOP, University of Kansas; JULIO CESAR DALLA MORA ESQUERDO, CNPTIA. |
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Título: |
Soy moratorium impacts on soybean and deforestation dynamics in Mato Grosso, Brazil. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Plos One, v. 12, n. 4, p. 1-21, Apr. 2017. |
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DOI: |
https://doi.or g/10.137 1/journal.pone.0176168 |
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Idioma: |
Inglês |
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Notas: |
artigo e0176168. |
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Conteúdo: |
Abstract - Previous research has established the usefulness of remotely sensed vegetation index (VI) data from the Moderate Resolution Imaging Spectroradiometer (MODIS) to characterize the spatial dynamics of agriculture in the state of Mato Grosso (MT), Brazil. With these data it has become possible to track MT agriculture, which accounts for ~85% of Brazilian Amazon soy production, across periods of several years. Annual land cover (LC) maps support investigation of the spatiotemporal dynamics of agriculture as they relate to forest cover and governance and policy efforts to lower deforestation rates. We use a unique, spatially extensive 9-year (2005?2013) ground reference dataset to classify, with approximately 80% accuracy, MODIS VI data, merging the results with carefully processed annual forest and sugarcane coverages developed by Brazil?s National Institute for Space Research to produce LC maps for MT for the 2001?2014 crop years. We apply the maps to an evaluation of forest and agricultural intensification dynamics before and after the Soy Moratorium (SoyM), a governance effort enacted in July 2006 to halt deforestation for the purpose of soy production in the Brazilian Amazon. We find the pre-SoyM deforestation rate to be more than five times the post-SoyM rate, while simultaneously observing the pre-SoyM forest-to-soy conversion rate to be more than twice the post-SoyM rate. These observations support the hypothesis that SoyM has played a role in reducing both deforestation and subsequent use for soy production. Additional analyses explore the land use tendencies of deforested areas and the conceptual framework of horizontal and vertical agricultural intensification, which distinguishes production increases attributable to cropland expansion into newly deforested areas as opposed to implementation of multi-cropping systems on existing cropland. During the 14-year study period, soy production was found to shift from predominantly single-crop systems to majority double-crop systems. MenosAbstract - Previous research has established the usefulness of remotely sensed vegetation index (VI) data from the Moderate Resolution Imaging Spectroradiometer (MODIS) to characterize the spatial dynamics of agriculture in the state of Mato Grosso (MT), Brazil. With these data it has become possible to track MT agriculture, which accounts for ~85% of Brazilian Amazon soy production, across periods of several years. Annual land cover (LC) maps support investigation of the spatiotemporal dynamics of agriculture as they relate to forest cover and governance and policy efforts to lower deforestation rates. We use a unique, spatially extensive 9-year (2005?2013) ground reference dataset to classify, with approximately 80% accuracy, MODIS VI data, merging the results with carefully processed annual forest and sugarcane coverages developed by Brazil?s National Institute for Space Research to produce LC maps for MT for the 2001?2014 crop years. We apply the maps to an evaluation of forest and agricultural intensification dynamics before and after the Soy Moratorium (SoyM), a governance effort enacted in July 2006 to halt deforestation for the purpose of soy production in the Brazilian Amazon. We find the pre-SoyM deforestation rate to be more than five times the post-SoyM rate, while simultaneously observing the pre-SoyM forest-to-soy conversion rate to be more than twice the post-SoyM rate. These observations support the hypothesis that SoyM has played a role in reducing both defo... Mostrar Tudo |
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Palavras-Chave: |
Dados espaciais; Modis. |
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Thesagro: |
Desmatamento; Glycine Max; Sensoriamento remoto; Soja. |
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Thesaurus NAL: |
Deforestation; Moderate resolution imaging spectroradiometer; Oilseeds; Seed oils; Soybeans. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/159890/1/Soymoratorium.pdf
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Marc: |
LEADER 02965naa a2200325 a 4500
001 2069623
005 2018-05-10
008 2017 bl uuuu u00u1 u #d
024 7 $ahttps://doi.or g/10.137 1/journal.pone.0176168$2DOI
100 1 $aKASTEN, J. H.
245 $aSoy moratorium impacts on soybean and deforestation dynamics in Mato Grosso, Brazil.$h[electronic resource]
260 $c2017
500 $aartigo e0176168.
520 $aAbstract - Previous research has established the usefulness of remotely sensed vegetation index (VI) data from the Moderate Resolution Imaging Spectroradiometer (MODIS) to characterize the spatial dynamics of agriculture in the state of Mato Grosso (MT), Brazil. With these data it has become possible to track MT agriculture, which accounts for ~85% of Brazilian Amazon soy production, across periods of several years. Annual land cover (LC) maps support investigation of the spatiotemporal dynamics of agriculture as they relate to forest cover and governance and policy efforts to lower deforestation rates. We use a unique, spatially extensive 9-year (2005?2013) ground reference dataset to classify, with approximately 80% accuracy, MODIS VI data, merging the results with carefully processed annual forest and sugarcane coverages developed by Brazil?s National Institute for Space Research to produce LC maps for MT for the 2001?2014 crop years. We apply the maps to an evaluation of forest and agricultural intensification dynamics before and after the Soy Moratorium (SoyM), a governance effort enacted in July 2006 to halt deforestation for the purpose of soy production in the Brazilian Amazon. We find the pre-SoyM deforestation rate to be more than five times the post-SoyM rate, while simultaneously observing the pre-SoyM forest-to-soy conversion rate to be more than twice the post-SoyM rate. These observations support the hypothesis that SoyM has played a role in reducing both deforestation and subsequent use for soy production. Additional analyses explore the land use tendencies of deforested areas and the conceptual framework of horizontal and vertical agricultural intensification, which distinguishes production increases attributable to cropland expansion into newly deforested areas as opposed to implementation of multi-cropping systems on existing cropland. During the 14-year study period, soy production was found to shift from predominantly single-crop systems to majority double-crop systems.
650 $aDeforestation
650 $aModerate resolution imaging spectroradiometer
650 $aOilseeds
650 $aSeed oils
650 $aSoybeans
650 $aDesmatamento
650 $aGlycine Max
650 $aSensoriamento remoto
650 $aSoja
653 $aDados espaciais
653 $aModis
700 1 $aBROWN, J. C.
700 1 $aCOUTINHO, A. C.
700 1 $aBISHOP, C. R.
700 1 $aESQUERDO, J. C. D. M.
773 $tPlos One$gv. 12, n. 4, p. 1-21, Apr. 2017.
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