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Registro Completo |
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Biblioteca(s): |
Embrapa Gado de Corte. |
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Data corrente: |
16/10/2023 |
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Data da última atualização: |
16/10/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
RAGALZI, C. M.; OLIVEIRA, R. G. de; RIBEIRO, A. G.; HELIX, C. H. P.; JANK, L.; SANTOS, M. F.; RESENDE, R. T. |
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Afiliação: |
CELINA M. RAGALZI, UNIVERSIDADE ESTADUAL DE MARINGÁ; RENATO G. DE OLIVEIRA, UNIVERSIDADE FEDERAL DE GOIÁS; ALESSANDRA G. RIBEIRO, UNIVERSIDADE FEDERAL DE GOIÁS; CARLOS H. PEREIRA HELIX, SEMENTES E BIOTECNOLOGIA LTDA; LIANA JANK, CNPGC; MATEUS FIGUEIREDO SANTOS, CNPGC; RAFAEL T. RESENDE, UNIVERSIDADE DE BRASÍLIA. |
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Título: |
A spatial-based approach applied to early selection stages in a forage breeding program. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Euphytica, 219, 2023. |
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Páginas: |
12 p. |
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DOI: |
https://doi.org/10.1007/s10681-023-03179-0 |
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Idioma: |
Português |
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Conteúdo: |
Apomictic forage species using hybridization involves a large number of hybrids in the initial breeding stages, requiring modern evaluation strategies. The objective of this study was to develop a strategy called "Within-microsite Checks" to evaluate hybrids from the early phases of the Guineagrass breeding program. The strategy employs common checks in each experimental microsite to assess the quality of the microenvironment in the experiment using plant-based indices linked to spatial (rows and columns) arrangements. The scheme was tested at Embrapa Beef Cattle in Campo Grande, Brazil, where 2,100 hybrids were evaluated in the initial selection stage. Each microsite had 32 plants, two checks, and thirty hybrids, with evaluations done individually and at various times of the year for Canopy Height, Regrowth Density, and Regrowth Speed traits. The plant-based index for each microsite corresponds to the check average for each trait. The mixed model methodology was used to test various random and fixed effects. The plant-based index used as a fixed effect had the greatest impact on the model fitness. Regardless of the trait considered, the association of the plant-based index with the spatial random effects showed the best performance among the models. Estimating the spatial variance improves the accuracy of the variance components. The narrow and broad sense heritability coefficients were high (>0.68) for all traits, indicating high prediction accuracy. The "Within-microsite Checks" strategy uses a plant-based index to characterize microsite environmental quality, potentially improving prediction accuracy and selection efficiency in the early stages of forage breeding programs. MenosApomictic forage species using hybridization involves a large number of hybrids in the initial breeding stages, requiring modern evaluation strategies. The objective of this study was to develop a strategy called "Within-microsite Checks" to evaluate hybrids from the early phases of the Guineagrass breeding program. The strategy employs common checks in each experimental microsite to assess the quality of the microenvironment in the experiment using plant-based indices linked to spatial (rows and columns) arrangements. The scheme was tested at Embrapa Beef Cattle in Campo Grande, Brazil, where 2,100 hybrids were evaluated in the initial selection stage. Each microsite had 32 plants, two checks, and thirty hybrids, with evaluations done individually and at various times of the year for Canopy Height, Regrowth Density, and Regrowth Speed traits. The plant-based index for each microsite corresponds to the check average for each trait. The mixed model methodology was used to test various random and fixed effects. The plant-based index used as a fixed effect had the greatest impact on the model fitness. Regardless of the trait considered, the association of the plant-based index with the spatial random effects showed the best performance among the models. Estimating the spatial variance improves the accuracy of the variance components. The narrow and broad sense heritability coefficients were high (>0.68) for all traits, indicating high prediction accuracy. The "Within-microsite ... Mostrar Tudo |
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Palavras-Chave: |
Guineagrass. |
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Thesaurus Nal: |
Forage; Phenomics; Plant breeding. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02442naa a2200265 a 4500
001 2157253
005 2023-10-16
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s10681-023-03179-0$2DOI
100 1 $aRAGALZI, C. M.
245 $aA spatial-based approach applied to early selection stages in a forage breeding program.$h[electronic resource]
260 $c2023
300 $a12 p.
520 $aApomictic forage species using hybridization involves a large number of hybrids in the initial breeding stages, requiring modern evaluation strategies. The objective of this study was to develop a strategy called "Within-microsite Checks" to evaluate hybrids from the early phases of the Guineagrass breeding program. The strategy employs common checks in each experimental microsite to assess the quality of the microenvironment in the experiment using plant-based indices linked to spatial (rows and columns) arrangements. The scheme was tested at Embrapa Beef Cattle in Campo Grande, Brazil, where 2,100 hybrids were evaluated in the initial selection stage. Each microsite had 32 plants, two checks, and thirty hybrids, with evaluations done individually and at various times of the year for Canopy Height, Regrowth Density, and Regrowth Speed traits. The plant-based index for each microsite corresponds to the check average for each trait. The mixed model methodology was used to test various random and fixed effects. The plant-based index used as a fixed effect had the greatest impact on the model fitness. Regardless of the trait considered, the association of the plant-based index with the spatial random effects showed the best performance among the models. Estimating the spatial variance improves the accuracy of the variance components. The narrow and broad sense heritability coefficients were high (>0.68) for all traits, indicating high prediction accuracy. The "Within-microsite Checks" strategy uses a plant-based index to characterize microsite environmental quality, potentially improving prediction accuracy and selection efficiency in the early stages of forage breeding programs.
650 $aForage
650 $aPhenomics
650 $aPlant breeding
653 $aGuineagrass
700 1 $aOLIVEIRA, R. G. de
700 1 $aRIBEIRO, A. G.
700 1 $aHELIX, C. H. P.
700 1 $aJANK, L.
700 1 $aSANTOS, M. F.
700 1 $aRESENDE, R. T.
773 $tEuphytica, 219, 2023.
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Registro original: |
Embrapa Gado de Corte (CNPGC) |
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