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Registro Completo |
Biblioteca(s): |
Embrapa Milho e Sorgo. |
Data corrente: |
29/01/2008 |
Data da última atualização: |
19/10/2023 |
Tipo da produção científica: |
Documentos |
Autoria: |
ROCHA, L. M. P. da (coord.). |
Afiliação: |
LEONARDO MELO PEREIRA DA ROCHA, CNPMS. |
Título: |
Ensaio Nacional de cultivares de milho Centro 2006/2007. |
Ano de publicação: |
2007 |
Fonte/Imprenta: |
Sete Lagoas: Embrapa Milho e Sorgo, 2007. |
Páginas: |
51 p. |
Série: |
(Embrapa Milho e Sorgo. Documentos, 60). |
Idioma: |
Português |
Palavras-Chave: |
Competição; Cultivares. |
Thesagro: |
Milho. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/36775/1/doc-60.pdf
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Marc: |
LEADER 00467nam a2200157 a 4500 001 1490828 005 2023-10-19 008 2007 bl uuuu 00u1 u #d 100 1 $aROCHA, L. M. P. da 245 $aEnsaio Nacional de cultivares de milho Centro 2006/2007.$h[electronic resource] 260 $aSete Lagoas: Embrapa Milho e Sorgo$c2007 300 $a51 p. 490 $a(Embrapa Milho e Sorgo. Documentos, 60). 650 $aMilho 653 $aCompetição 653 $aCultivares
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Embrapa Milho e Sorgo (CNPMS) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Cerrados. Para informações adicionais entre em contato com cpac.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Agrossilvipastoril; Embrapa Cerrados; Embrapa Gado de Leite; Embrapa Pecuária Sul; Embrapa Tabuleiros Costeiros. |
Data corrente: |
16/08/2021 |
Data da última atualização: |
23/08/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
FERREIRA, F. M.; ROCHA, J. R. do A. S. de C.; BHERING, L. L.; FERNANDES, F. D.; LEDO, F. J. da S.; RANGEL, J. H. de A.; KOPP, M. M.; CAMARA, T. M. M.; SILVA, V. Q. R. da; MACHADO, J. C. |
Afiliação: |
FILIPE MANOEL FERREIRA, Universidade Federal de Viçosa; JOÃO ROMERO DO AMARAL SANTOS DE CARVALHO ROCHA, Universidade Federal de Viçosa; LEONARDO LOPES BHERING, Universidade Federal de Viçosa; FRANCISCO DUARTE FERNANDES, CPAC; FRANCISCO JOSE DA SILVA LEDO, CNPGL; JOSE HENRIQUE DE ALBUQUERQUE RANGEL, CPATC; MAURICIO MARINI KOPP, CPPSUL; TASSIANO MAXWELL MARINHO CAMARA, CPATC; VANESSA QUITETE RIBEIRO DA SILVA, CPAMT; JUAREZ CAMPOLINA MACHADO, CNPGL. |
Título: |
Optimal harvest number and genotypic evaluation of total dry biomass, stability, and adaptability of elephant grass clones for bioenergy purposes. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
Biomass and Bioenergy, v. 149, 106104, 2021. |
Idioma: |
Inglês |
Conteúdo: |
For elephant grass breeding for bioenergy purposes, selection should be based on repeated harvests to maximize the selection efficiency. Selecting genotypes with high total dry biomass, associated with high adaptability and stability, is extremely important. Thus, the objective of this study was to estimate the minimum number of harvests required for total dry biomass to enable an accurate selection of elephant grass clones in multiple environmental trials. Additionally, the relative performance of genetic values (HMRPGV) and centroid methods were used to cluster and rank the best clones on the basis of their total dry biomass, adaptability, and stability. Nineteen clones and two checks were evaluated in six environments. Two or four harvests were performed in each environment. A mixed model methodology (REML/BLUP) was used to estimate the variance components and predict the genotypic values. The repeatability coefficient for total dry biomass was 0.20. The accuracies of performing two and four harvests were 59% and 72%, respectively. The increase in selection efficiency by performing two, four, and seven harvests instead of just one was 29%, 57%, and 76%, respectively. Finally, the clones were clustered into four classes according to their total dry biomass, adaptability, and stability. We conclude that at least seven harvests are required to achieve an accuracy of 80%, and that the HMRPGV and centroid methods are practical, visual, and reliable for simultaneously clustering, ranking, and selection of clones based on their adaptability, stability, and total dry biomass production. MenosFor elephant grass breeding for bioenergy purposes, selection should be based on repeated harvests to maximize the selection efficiency. Selecting genotypes with high total dry biomass, associated with high adaptability and stability, is extremely important. Thus, the objective of this study was to estimate the minimum number of harvests required for total dry biomass to enable an accurate selection of elephant grass clones in multiple environmental trials. Additionally, the relative performance of genetic values (HMRPGV) and centroid methods were used to cluster and rank the best clones on the basis of their total dry biomass, adaptability, and stability. Nineteen clones and two checks were evaluated in six environments. Two or four harvests were performed in each environment. A mixed model methodology (REML/BLUP) was used to estimate the variance components and predict the genotypic values. The repeatability coefficient for total dry biomass was 0.20. The accuracies of performing two and four harvests were 59% and 72%, respectively. The increase in selection efficiency by performing two, four, and seven harvests instead of just one was 29%, 57%, and 76%, respectively. Finally, the clones were clustered into four classes according to their total dry biomass, adaptability, and stability. We conclude that at least seven harvests are required to achieve an accuracy of 80%, and that the HMRPGV and centroid methods are practical, visual, and reliable for simultaneously clusterin... Mostrar Tudo |
Palavras-Chave: |
Cenchrus purpureus; Mixed model; Permanent environment. |
Thesagro: |
Bioenergia; Biomassa; Capim Elefante; Gramínea Forrageira. |
Thesaurus NAL: |
Energy crops; Genotype-environment interaction; Models. |
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
Marc: |
LEADER 02674naa a2200349 a 4500 001 2133810 005 2021-08-23 008 2021 bl uuuu u00u1 u #d 100 1 $aFERREIRA, F. M. 245 $aOptimal harvest number and genotypic evaluation of total dry biomass, stability, and adaptability of elephant grass clones for bioenergy purposes.$h[electronic resource] 260 $c2021 520 $aFor elephant grass breeding for bioenergy purposes, selection should be based on repeated harvests to maximize the selection efficiency. Selecting genotypes with high total dry biomass, associated with high adaptability and stability, is extremely important. Thus, the objective of this study was to estimate the minimum number of harvests required for total dry biomass to enable an accurate selection of elephant grass clones in multiple environmental trials. Additionally, the relative performance of genetic values (HMRPGV) and centroid methods were used to cluster and rank the best clones on the basis of their total dry biomass, adaptability, and stability. Nineteen clones and two checks were evaluated in six environments. Two or four harvests were performed in each environment. A mixed model methodology (REML/BLUP) was used to estimate the variance components and predict the genotypic values. The repeatability coefficient for total dry biomass was 0.20. The accuracies of performing two and four harvests were 59% and 72%, respectively. The increase in selection efficiency by performing two, four, and seven harvests instead of just one was 29%, 57%, and 76%, respectively. Finally, the clones were clustered into four classes according to their total dry biomass, adaptability, and stability. We conclude that at least seven harvests are required to achieve an accuracy of 80%, and that the HMRPGV and centroid methods are practical, visual, and reliable for simultaneously clustering, ranking, and selection of clones based on their adaptability, stability, and total dry biomass production. 650 $aEnergy crops 650 $aGenotype-environment interaction 650 $aModels 650 $aBioenergia 650 $aBiomassa 650 $aCapim Elefante 650 $aGramínea Forrageira 653 $aCenchrus purpureus 653 $aMixed model 653 $aPermanent environment 700 1 $aROCHA, J. R. do A. S. de C. 700 1 $aBHERING, L. L. 700 1 $aFERNANDES, F. D. 700 1 $aLEDO, F. J. da S. 700 1 $aRANGEL, J. H. de A. 700 1 $aKOPP, M. M. 700 1 $aCAMARA, T. M. M. 700 1 $aSILVA, V. Q. R. da 700 1 $aMACHADO, J. C. 773 $tBiomass and Bioenergy$gv. 149, 106104, 2021.
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