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Registro Completo |
Biblioteca(s): |
Embrapa Soja. |
Data corrente: |
02/02/2011 |
Data da última atualização: |
07/06/2011 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
OLIVEIRA, M. F. de; NELSON, R. L.; GERALDI, I. O.; CRUZ, C. D; TOLEDO, J. F. F. de. |
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. |
Título: |
Establishing a soybean germplasm core collection. |
Ano de publicação: |
2010 |
Fonte/Imprenta: |
Field Crops Research, v. 119, p. 277-289, 2010. |
DOI: |
10.1016/j.fcr.2010.07.021 |
Idioma: |
Inglês |
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. |
Thesagro: |
Germoplasma; Soja. |
Thesaurus Nal: |
Germplasm conservation; Soybeans. |
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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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