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| 9. |  | FURTINI, I. V.; BRESEGHELLO, F.; CASTRO, A. P. de. Melhoramento de arroz de terras altas em Mato Grosso. In: FARIAS NETO, A. L. de; NASCIMENTO, A. F. do; ROSSONI, A. L.; MAGALHÃES, C. A. de S.; ITUASSU, D. R.; HOOGERHEIDE, E. S. S.; IKEDA, F. S.; FERNANDES JUNIOR, F.; FARIA, G. R.; ISERNHAGEN, I.; VENDRUSCULO, L. G.; MORALES, M. M.; CARNEVALLI, R. A. (Ed.). Embrapa Agrossilvipastoril: primeiras contribuições para o desenvolvimento de uma agropecuária sustentável. Brasília, DF: Embrapa, 2019. pt. 8, cap. 12, p. 609-618.| Biblioteca(s): Embrapa Agrossilvipastoril; Embrapa Arroz e Feijão. |
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| 14. | | COSTA NETO, G. M. F.; CASTRO, A. P. de; HEINEMANN, A. B.; DUARTE, J. B. Adaptação genotípica regionalizada por regressão fatorial e covariáveis geográficas. In: SIMPÓSIO INTERNACIONAL DE GENÉTICA E MELHORAMENTO, 7., 2016, Viçosa, MG. Desafios biométricos no melhoramento genético: anais. Viçosa, MG: UFV, 2016. p. 27.| Biblioteca(s): Embrapa Arroz e Feijão. |
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Registro Completo
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Biblioteca(s): |
Embrapa Arroz e Feijão; Embrapa Roraima. |
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Data corrente: |
05/05/2021 |
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Data da última atualização: |
18/06/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
GUIMARÃES, P. H. R.; MELO, P. G. S.; CORDEIRO, A. C. C.; TORGA, P. P.; RANGEL, P. H. N.; CASTRO, A. P. de. |
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Afiliação: |
ANTONIO CARLOS CENTENO CORDEIRO, CPAF-RR; PAULA PEREIRA TORGA, CNPAF; PAULO HIDEO NAKANO RANGEL, CNPAF; ADRIANO PEREIRA DE CASTRO, CNPAF. |
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Título: |
Index selection can improve the selection efficiency in a rice recurrent selection population. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Euphytica, v. 217, n. 95, 2021. |
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Idioma: |
Inglês |
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Conteúdo: |
To attain success with selection process, the breeders need to understand the genetic variability into each population developed by breeding program. In this purpose, breeders need to estimate the variance components and genetic and phenotypic parameters. Besides, they need to have the ability to select simultaneously genetically top progenies for multiple traits. This study used a field trial, with a panel of 198 S0:2 lowland rice progenies, evaluated in three environments during two years in order to: (i) estimate genetic parameters for different traits in a rice breeding population, (ii) evaluate the impact of direct selection and selection performed through three selection indices in a rice population developed by recurrent selection, and (iii) compare three selection indices using different economic weights with direct and indirect selection. Significant genetic variation was found among progenies for: grain yield, plant height, days to flowering, panicle blast, leaf scald and grain discoloration. The direct selection provided high gains for single trait selection, but this method may results in undesirable changes in related traits. Thus, between the evaluated indices and in comparison, to indirect selection the Mulamba and Mock index provided simultaneously greater gains for all the evaluated traits. Furthermore, we found that when the random weights and b-variation index were used as economic weight, it was found lower gains or no gains, showing that the gains attained with Smith and Hazel and Tai indices were linked to economic weights used. MenosTo attain success with selection process, the breeders need to understand the genetic variability into each population developed by breeding program. In this purpose, breeders need to estimate the variance components and genetic and phenotypic parameters. Besides, they need to have the ability to select simultaneously genetically top progenies for multiple traits. This study used a field trial, with a panel of 198 S0:2 lowland rice progenies, evaluated in three environments during two years in order to: (i) estimate genetic parameters for different traits in a rice breeding population, (ii) evaluate the impact of direct selection and selection performed through three selection indices in a rice population developed by recurrent selection, and (iii) compare three selection indices using different economic weights with direct and indirect selection. Significant genetic variation was found among progenies for: grain yield, plant height, days to flowering, panicle blast, leaf scald and grain discoloration. The direct selection provided high gains for single trait selection, but this method may results in undesirable changes in related traits. Thus, between the evaluated indices and in comparison, to indirect selection the Mulamba and Mock index provided simultaneously greater gains for all the evaluated traits. Furthermore, we found that when the random weights and b-variation index were used as economic weight, it was found lower gains or no gains, showing that the gains attain... Mostrar Tudo |
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Palavras-Chave: |
Predicted gains. |
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Thesagro: |
Arroz; Melhoramento Genético Vegetal; Oryza Sativa; Seleção Recorrente; Variação Genética. |
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Thesaurus NAL: |
Genetic improvement; Quantitative genetics; Recurrent selection; Rice. |
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Categoria do assunto: |
--
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/223046/1/RamosGuimaraes2021-Article-IndexSelectionCanImproveTheSel1.pdf
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Marc: |
LEADER 02451naa a2200301 a 4500
001 2131679
005 2021-06-18
008 2021 bl uuuu u00u1 u #d
100 1 $aGUIMARÃES, P. H. R.
245 $aIndex selection can improve the selection efficiency in a rice recurrent selection population.$h[electronic resource]
260 $c2021
520 $aTo attain success with selection process, the breeders need to understand the genetic variability into each population developed by breeding program. In this purpose, breeders need to estimate the variance components and genetic and phenotypic parameters. Besides, they need to have the ability to select simultaneously genetically top progenies for multiple traits. This study used a field trial, with a panel of 198 S0:2 lowland rice progenies, evaluated in three environments during two years in order to: (i) estimate genetic parameters for different traits in a rice breeding population, (ii) evaluate the impact of direct selection and selection performed through three selection indices in a rice population developed by recurrent selection, and (iii) compare three selection indices using different economic weights with direct and indirect selection. Significant genetic variation was found among progenies for: grain yield, plant height, days to flowering, panicle blast, leaf scald and grain discoloration. The direct selection provided high gains for single trait selection, but this method may results in undesirable changes in related traits. Thus, between the evaluated indices and in comparison, to indirect selection the Mulamba and Mock index provided simultaneously greater gains for all the evaluated traits. Furthermore, we found that when the random weights and b-variation index were used as economic weight, it was found lower gains or no gains, showing that the gains attained with Smith and Hazel and Tai indices were linked to economic weights used.
650 $aGenetic improvement
650 $aQuantitative genetics
650 $aRecurrent selection
650 $aRice
650 $aArroz
650 $aMelhoramento Genético Vegetal
650 $aOryza Sativa
650 $aSeleção Recorrente
650 $aVariação Genética
653 $aPredicted gains
700 1 $aMELO, P. G. S.
700 1 $aCORDEIRO, A. C. C.
700 1 $aTORGA, P. P.
700 1 $aRANGEL, P. H. N.
700 1 $aCASTRO, A. P. de
773 $tEuphytica$gv. 217, n. 95, 2021.
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Registro original: |
Embrapa Roraima (CPAF-RR) |
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