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Registro Completo |
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
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Data corrente: |
02/05/2022 |
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Data da última atualização: |
03/05/2022 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
OLIVEIRA, I. C. M.; BERNARDELI, A.; GUILHEN, J. H. S.; PASTINA, M. M. |
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Afiliação: |
ISADORA CRISTINA MARTINS OLIVEIRA; ARTHUR BERNARDELI, Universidade Federal de Viçosa; JOSE HENRIQUE SOLER GUILHEN; MARIA MARTA PASTINA, CNPMS. |
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Título: |
Genomic prediction of complex traits in an allogamous annual crop: the case of maize single-cross hybrids. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
In: AHMADI, N.; BARTHOLOME, J. (ed.). Genomic prediction of complex: traits methods and protocols. New York: Humana Press, 2022. |
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Páginas: |
p. 543-567. |
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Série: |
(Methods in Molecular Biology, v. 2467). |
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DOI: |
https://doi.org/10.1007/978-1-0716-2205-6_20 |
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Idioma: |
Inglês |
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Conteúdo: |
For many plant and animal species, commercial products are hybrids between individuals from different genetic groups. For allogamous plant species such as maize, the breeding objective is to produce singlecross hybrid varieties from two inbred lines each selected in complementary groups. Efficient hybrid breeding requires methods that (1) quickly generate homozygous and homogeneous parental lines with high combining abilities, (2) efficiently choose among the large number of available parental lines the most promising ones, and (3) predict the performances of sets of non-phenotyped single-cross hybrids, or hybrids phenotyped in a limited number of environments, based on their relationship with another set of hybrids with known performances. The maize breeding community has been developing model-based prediction of hybrid performances well before the genomic era. This chapter (1) provides a reminder of the maize breeding scheme before the genomic era; (2) describes how genomic data were incorporated in the prediction models involved in different steps of genomic-based single-cross maize hybrid breeding; and (3) reviews factors affecting the accuracy of genomic prediction, approaches for optimizing GP-based single-cross maize hybrid breeding schemes, and ensuring the long-term sustainability of genomic selection. |
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Palavras-Chave: |
Hybrid breeding. |
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Thesagro: |
Hibrido; Melhoramento Genético Vegetal; Melhoramento Vegetal; Milho. |
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Categoria do assunto: |
G Melhoramento Genético |
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Marc: |
LEADER 02227naa a2200253 a 4500
001 2142577
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008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/978-1-0716-2205-6_20$2DOI
100 1 $aOLIVEIRA, I. C. M.
245 $aGenomic prediction of complex traits in an allogamous annual crop$bthe case of maize single-cross hybrids.$h[electronic resource]
260 $c2022
300 $ap. 543-567.
490 $a(Methods in Molecular Biology, v. 2467).
520 $aFor many plant and animal species, commercial products are hybrids between individuals from different genetic groups. For allogamous plant species such as maize, the breeding objective is to produce singlecross hybrid varieties from two inbred lines each selected in complementary groups. Efficient hybrid breeding requires methods that (1) quickly generate homozygous and homogeneous parental lines with high combining abilities, (2) efficiently choose among the large number of available parental lines the most promising ones, and (3) predict the performances of sets of non-phenotyped single-cross hybrids, or hybrids phenotyped in a limited number of environments, based on their relationship with another set of hybrids with known performances. The maize breeding community has been developing model-based prediction of hybrid performances well before the genomic era. This chapter (1) provides a reminder of the maize breeding scheme before the genomic era; (2) describes how genomic data were incorporated in the prediction models involved in different steps of genomic-based single-cross maize hybrid breeding; and (3) reviews factors affecting the accuracy of genomic prediction, approaches for optimizing GP-based single-cross maize hybrid breeding schemes, and ensuring the long-term sustainability of genomic selection.
650 $aHibrido
650 $aMelhoramento Genético Vegetal
650 $aMelhoramento Vegetal
650 $aMilho
653 $aHybrid breeding
700 1 $aBERNARDELI, A.
700 1 $aGUILHEN, J. H. S.
700 1 $aPASTINA, M. M.
773 $tIn: AHMADI, N.; BARTHOLOME, J. (ed.). Genomic prediction of complex: traits methods and protocols. New York: Humana Press, 2022.
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