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 | Acesso ao texto completo restrito à biblioteca da Embrapa Soja. Para informações adicionais entre em contato com valeria.cardoso@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Soja. |
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Data corrente: |
02/02/2011 |
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Data da última atualização: |
07/06/2011 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
OLIVEIRA, M. F. de; NELSON, R. L.; GERALDI, I. O.; CRUZ, C. D; TOLEDO, J. F. F. de. |
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Afiliação: |
MARCELO FERNANDES DE OLIVEIRA, CNPSO; RANDALL L. NELSON, USDA-ARS; ISAIAS O. GERALDI, USP- ESALQ; COSME D. CRUZ, UNIVERSIDADE FEDERAL DE VIÇOSA; JOSÉ FRANSCISCO F. DE TOLEDO. |
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Título: |
Establishing a soybean germplasm core collection. |
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Ano de publicação: |
2010 |
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Fonte/Imprenta: |
Field Crops Research, v. 119, p. 277-289, 2010. |
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DOI: |
10.1016/j.fcr.2010.07.021 |
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Idioma: |
Inglês |
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Conteúdo: |
Core collections are of strategic importance as they allow the use of a small part of a germplasm collection that is representative of the total collection. The objective of this study was to develop a soybean core collection of the USDA Soybean Germplasm Collection by comparing the results of random, proportional, logarithmic, multivariate proportional and multivariate logarithmic sampling strategies. All but the random sampling strategy used stratification of the entire collection based on passport data and maturity group classification. The multivariate proportional and multivariate logarithmic strategies made further use of qualitative and quantitative trait data to select diverse accessions within each stratum. The 18 quantitative trait data distribution parameters were calculated for each core and for the entire collection for pairwise comparison to validate the sampling strategies. All strategies were adequate for assembling a core collection. The random core collection best represented the entire collection in statistical terms. Proportional and logarithmic strategies did not maximize statistical representation but were better in selecting maximum variability. Multivariate proportional and multivariate logarithmic strategies produced the best core collections as measured by maximum variability conservation. The soybean core collection was established using the multivariate proportional selection strategy. |
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Thesagro: |
Germoplasma; Soja. |
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Thesaurus Nal: |
Germplasm conservation; Soybeans. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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Marc: |
LEADER 02045naa a2200229 a 4500
001 1875391
005 2011-06-07
008 2010 bl uuuu u00u1 u #d
024 7 $a10.1016/j.fcr.2010.07.021$2DOI
100 1 $aOLIVEIRA, M. F. de
245 $aEstablishing a soybean germplasm core collection.
260 $c2010
520 $aCore collections are of strategic importance as they allow the use of a small part of a germplasm collection that is representative of the total collection. The objective of this study was to develop a soybean core collection of the USDA Soybean Germplasm Collection by comparing the results of random, proportional, logarithmic, multivariate proportional and multivariate logarithmic sampling strategies. All but the random sampling strategy used stratification of the entire collection based on passport data and maturity group classification. The multivariate proportional and multivariate logarithmic strategies made further use of qualitative and quantitative trait data to select diverse accessions within each stratum. The 18 quantitative trait data distribution parameters were calculated for each core and for the entire collection for pairwise comparison to validate the sampling strategies. All strategies were adequate for assembling a core collection. The random core collection best represented the entire collection in statistical terms. Proportional and logarithmic strategies did not maximize statistical representation but were better in selecting maximum variability. Multivariate proportional and multivariate logarithmic strategies produced the best core collections as measured by maximum variability conservation. The soybean core collection was established using the multivariate proportional selection strategy.
650 $aGermplasm conservation
650 $aSoybeans
650 $aGermoplasma
650 $aSoja
700 1 $aNELSON, R. L.
700 1 $aGERALDI, I. O.
700 1 $aCRUZ, C. D
700 1 $aTOLEDO, J. F. F. de
773 $tField Crops Research$gv. 119, p. 277-289, 2010.
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Registro original: |
Embrapa Soja (CNPSO) |
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Cutter |
Registro |
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Registro Completo
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Biblioteca(s): |
Embrapa Agropecuária Oeste; Embrapa Clima Temperado; Embrapa Milho e Sorgo. |
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Data corrente: |
14/06/2013 |
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Data da última atualização: |
15/08/2017 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
GALON, L.; CONCENCO, G.; FERREIRA, E. A.; ASPIAZU, I.; SILVA, A. F. da; GIACOBBO, C. L.; ANDRES, A. |
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Afiliação: |
GERMANI CONCENCO, CPAO. |
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Título: |
Influence of biotic and abiotic stress factors on physiological traits of sugarcane varieties. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
In: DUBINSKY, Z. (Ed.). Photosynthesis. Rijeka: In Tech, 2013. cap. 7, p. 185-208. |
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DOI: |
10.5772/56742 |
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Idioma: |
Inglês
Português |
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Palavras-Chave: |
Estresse abiótico. |
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Thesagro: |
Cana de açucar. |
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Thesaurus NAL: |
Plant stress. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/90383/1/Photosynthesis-Influence.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/84473/1/Influence-biotic.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/84505/1/Andre-Andres-Influence-biotic.pdf
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Marc: |
LEADER 00713naa a2200229 a 4500
001 1967689
005 2017-08-15
008 2013 bl uuuu u00u1 u #d
024 7 $a10.5772/56742$2DOI
100 1 $aGALON, L.
245 $aInfluence of biotic and abiotic stress factors on physiological traits of sugarcane varieties.$h[electronic resource]
260 $c2013
650 $aPlant stress
650 $aCana de açucar
653 $aEstresse abiótico
700 1 $aCONCENCO, G.
700 1 $aFERREIRA, E. A.
700 1 $aASPIAZU, I.
700 1 $aSILVA, A. F. da
700 1 $aGIACOBBO, C. L.
700 1 $aANDRES, A.
773 $tIn: DUBINSKY, Z. (Ed.). Photosynthesis. Rijeka: In Tech, 2013. cap. 7, p. 185-208.
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