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 | Acesso ao texto completo restrito à biblioteca da Embrapa Mandioca e Fruticultura. Para informações adicionais entre em contato com cnpmf.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Café; Embrapa Mandioca e Fruticultura; Embrapa Maranhão. |
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Data corrente: |
25/04/2024 |
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Data da última atualização: |
18/09/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SANTOS, V. da S.; PEREIRA, H. D.; ABREU, G. B.; SANTIAGO, C. M. |
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Afiliação: |
VANDERLEI DA SILVA SANTOS, CNPMF; HELCIO DUARTE PEREIRA; GUILHERME BARBOSA ABREU, CNPCA; CARLOS MARTINS SANTIAGO, CPACP. |
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Título: |
Evaluation and selection of cassava clones and exploitation of genetic covariance across multiple environments. |
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Ano de publicação: |
2024 |
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Fonte/Imprenta: |
Crop Science, 2024. |
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DOI: |
10.1002/csc2.21251 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: Clonal evaluation trials of cassava (Manihot esculenta Crantz), where the main selection of this crop takes place, are usually carried out in multiple environments. This study investigated the influence of genotype–environment (GE) interaction on selection and how to explore genetic information across environments in a mixed model approach by modeling different genetic covariance structures. Approximately 240 cassava clones were assessed in an augmented block design during the 2020/2021 growing season in Brazil. The unstructured model was the best suited and used to investigate several strategies of selection. The predicted genetic gains based on individual analyses varied greatly among environments (5.52%–12.62% for root yield; 1.00%–6.09% for dry matter content; and 4.01%–9.42% for dry matter yield), although the clones mean was similar. Moreover, most of the selected clones in each environment outperformed the best check (>80%), except for root yield and dry matter yield in one environment. By multi-environment analysis, greater local gains were detected in each environment (means of 16.87% for root yield, 5.56% for dry matter content, and 17.27% for dry matter yield) and for mean heritability (0.52 for root yield, 0.76 for dry matter content, and 0.55 for dry matter yield). The coincidence of clones selected by individual and multi-environment analyses was 64% for root yield, 73% for dry matter content, and 66% for dry matter yield. The best scenario for selection is when all environments are considered simultaneously, for which regional genetic gains of 16.71% were predicted for root yield, 5.40% for dry matter content, and 17.06% for dry matter yield. MenosAbstract: Clonal evaluation trials of cassava (Manihot esculenta Crantz), where the main selection of this crop takes place, are usually carried out in multiple environments. This study investigated the influence of genotype–environment (GE) interaction on selection and how to explore genetic information across environments in a mixed model approach by modeling different genetic covariance structures. Approximately 240 cassava clones were assessed in an augmented block design during the 2020/2021 growing season in Brazil. The unstructured model was the best suited and used to investigate several strategies of selection. The predicted genetic gains based on individual analyses varied greatly among environments (5.52%–12.62% for root yield; 1.00%–6.09% for dry matter content; and 4.01%–9.42% for dry matter yield), although the clones mean was similar. Moreover, most of the selected clones in each environment outperformed the best check (>80%), except for root yield and dry matter yield in one environment. By multi-environment analysis, greater local gains were detected in each environment (means of 16.87% for root yield, 5.56% for dry matter content, and 17.27% for dry matter yield) and for mean heritability (0.52 for root yield, 0.76 for dry matter content, and 0.55 for dry matter yield). The coincidence of clones selected by individual and multi-environment analyses was 64% for root yield, 73% for dry matter content, and 66% for dry matter yield. The best scenario for select... Mostrar Tudo |
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Palavras-Chave: |
Manihot esculenta Crantz. |
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Thesagro: |
Genética; Mandioca. |
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Thesaurus Nal: |
Cassava; Clones; Genetic covariance; Manihot. |
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Categoria do assunto: |
--
A Sistemas de Cultivo |
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Marc: |
LEADER 02415naa a2200253 a 4500
001 2163917
005 2024-09-18
008 2024 bl uuuu u00u1 u #d
024 7 $a10.1002/csc2.21251$2DOI
100 1 $aSANTOS, V. da S.
245 $aEvaluation and selection of cassava clones and exploitation of genetic covariance across multiple environments.$h[electronic resource]
260 $c2024
520 $aAbstract: Clonal evaluation trials of cassava (Manihot esculenta Crantz), where the main selection of this crop takes place, are usually carried out in multiple environments. This study investigated the influence of genotype–environment (GE) interaction on selection and how to explore genetic information across environments in a mixed model approach by modeling different genetic covariance structures. Approximately 240 cassava clones were assessed in an augmented block design during the 2020/2021 growing season in Brazil. The unstructured model was the best suited and used to investigate several strategies of selection. The predicted genetic gains based on individual analyses varied greatly among environments (5.52%–12.62% for root yield; 1.00%–6.09% for dry matter content; and 4.01%–9.42% for dry matter yield), although the clones mean was similar. Moreover, most of the selected clones in each environment outperformed the best check (>80%), except for root yield and dry matter yield in one environment. By multi-environment analysis, greater local gains were detected in each environment (means of 16.87% for root yield, 5.56% for dry matter content, and 17.27% for dry matter yield) and for mean heritability (0.52 for root yield, 0.76 for dry matter content, and 0.55 for dry matter yield). The coincidence of clones selected by individual and multi-environment analyses was 64% for root yield, 73% for dry matter content, and 66% for dry matter yield. The best scenario for selection is when all environments are considered simultaneously, for which regional genetic gains of 16.71% were predicted for root yield, 5.40% for dry matter content, and 17.06% for dry matter yield.
650 $aCassava
650 $aClones
650 $aGenetic covariance
650 $aManihot
650 $aGenética
650 $aMandioca
653 $aManihot esculenta Crantz
700 1 $aPEREIRA, H. D.
700 1 $aABREU, G. B.
700 1 $aSANTIAGO, C. M.
773 $tCrop Science, 2024.
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Embrapa Maranhão (CPACP) |
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| 1. |  | AFONSO, C. L.; AMARASINGHE, G. K.; NYAI, K. N. BA.; BAO, Y.; BASLER, C. F.; BAVARI, S.; BEJERMAN, N.; BLASDELL, K. R.; BRIAND, F.-X.; BRIESE, T.; BUKREYEV, A.; CHANDRAN, K.; CHENG, J.; CLAWSON, A.; COLLINS, P. L.; DIETZGEN, R. G.; DOLNIK, O.; DOMIER, L. L.; DURRWAL, R.; DYE, J. M.; EASTON, A. J.; EBIHARA, H.; FARKAS, S. L.; ASTUA, J. de F.; FORMENTY, P.; FOUCHIER, R. M.; FU, Y.; GHEDIN, E.; GOODIN, M. M.; HEWSON, R.; HORIE, M.; HYNDMAN, T. H.; JIANG, D.; KITAJIMA, E. W.; KOBINGER, G. P.; KONDO, H.; KURATH, G.; LAMB, R. A.; LENARDON, S.; LEROY, E. M.; LI, CI-XIU; LIN, XIAN-DAN; LIU, L.; LONGDON, B.; MARTON, S.; MAISNER, A.; MUHLBERGER, E.; NETESOV, S. V.; NOWOTNY, N.; PATTERSON, J. L.; PAYNE, S. L.; PAWESKA, J. T.; RANDALL, R. E.; RIMA, B. K.; ROTA, P.; RUBBENSTROTH, D.; SCHWEMMLE, M.; SHI, M.; SMITHER, S. J.; STENGLEIN, M. D.; STONE, D. M.; TAKADA, A.; TERREGINO, C.; TESH, R. B.; TIAN. JUN-HUA; TOMONAGA, K.; TORDO, N.; TOWNER, J. S.; VASILAKIS, N.; VERBEEK, M.; VOLCHKOV, V. E.; WAHL-JENSEN, V.; WALSH, J. A.; WALKER, P. J.; WAN, D.; WANG, LIN-FA; WETZEL, T.; WHITFIELD, A. E.; XIE, J.; YUEN, KWOK-YUNG; ZHANG, YONG-ZHEN; KUHN, J. H. Taxonomy of the order Mononegavirales: update 2016. Archives of Virology, n. 161, p.2351?2360, 2016.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
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