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| Registros recuperados : 103 | |
| 81. |  | BARRETO, C. A. V.; DIAS, K. O. das G.; SOUSA, I. C. de; AZEVEDO, C. F.; NASCIMENTO, A. C. C.; GUIMARAES, L. J. M.; GUIMARÃES, C. T.; PASTINA, M. M.; NASCIMENTO, M. Genomic prediction in multi-environment trials in maize using statistical and machine learning methods. Scientific Reports, v. 14, 1062, 2024.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 82. | | OLIVEIRA, A. A.; PASTINA, M. M.; SOUZA, V. F.; PARRELLA, R. A. C.; NODA, R. W.; MAGALHAES, J. V.; SCHAFFERT, R. E.; DAMASCENO, C. M. B.; MARGARIDO, G. R. A. Genomic selection methods applied to high biomass sorghum for the production of second generation ethanol. In: CONGRESSO BRASILEIRO DE GENÉTICA, 61., 2015, Águas de Lindóia. Resumos... Ribeirão Preto: Sociedade Brasileira de Genética, 2015. p. 10.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 83. | | DIAS, K. O. das G.; PASTINA, M. M.; GUIMARAES, P. E. de O.; SANTOS, J. R. P. dos; KRAUSE, M. D.; FERRÃO, L. F. V.; GARCIA, A. A. F. Application of multi-environment bayesian models to study genotype-by-environment interaction in maize. In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 9., 2017, Foz do Iguaçu. Melhoramento de plantas: projetando o futuro. Foz do Iguaçu: SBMP, 2017. p. 149.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 84. | | SOUSA, S. M. de; OLIVEIRA-PAIVA, C. A.; ANDRADE, D. L.; CARVALHO, C. G. de; RIBEIRO, V. P.; PASTINA, M. M.; MARRIEL, I. E.; LANA, U. G. de P.; GOMES, E. A. Tropical Bacillus strains inoculation enhances maize root surface area, dry weight, nutrient uptake and grain yield. Journal of Plant Growth Regulation, v. 40, p. 867-877, 2021.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 86. | | VASCONCELLOS, R. C. C.; MENDES, F. F.; OLIVEIRA, A. C. de; GUIMARAES, L. J. M.; ALBUQUERQUE, P. E. P. de; PINTO, M. de O.; BARROS, B. de A.; PASTINA, M. M.; MAGALHAES, J. V. de; GUIMARÃES, C. T. ZmMATE1 improves grain yield and yield stability in maize cultivated on acid soil. Crop Science, v. 61. n. 5, p. 3497-3506, 2021.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 87. | | HUFNAGEL, B.; SOUSA, S. M. de; ASSIS, L.; GUIMARAES, C. T.; LEISER, W.; AZEVEDO, G. C.; NEGRI, B.; LARSON, B. G.; SHAFF, J. E.; PASTINA, M. M.; BARROS, B. A.; WELTZIEN, E.; RATTUNDE, H. F. W.; VIANA, J. H.; CLARK, R. T.; FALCÃO, A.; GAZAFFI, R.; GARCIA, A. A. F.; SCHAFFERT, R. E.; KOCHIAN, L. V.; MAGALHAES, J. V. Duplicate and conquer: multiple homologs of PHOSPHORUS-STARVATION TOLERANCE1 enhance phosphorus acquisition and sorghum performance on low-phosphorus soils. Plant Physiology, Bethesda, v. 166, p. 659-677, Oct. 2014.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 88. | | SILVA. M. J. da; PARRELLA, R. A. da C.; PASTINA, M. M.; DAMASCENO, C. M. B.; CARNEIRO, J. E. de S.; CRESCÊNCIO, P. S.; SOUZA, V. F. de; BERNARDINO, K. da C.; SILVA, R. A. da; RIBEIRO, P. C. de O.; SILVA, K. J. da. Desempenho de cultivares de sorgo sacarino visando melhoramento para produção de bioetanol. In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 8., 2015, Goiânia. O melhoramento de plantas, o futuro da agricultura e a soberania nacional: anais. Goiânia: UFG: SBMP, 2015.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 89. | | MELO, J. O.; MARTINS, L. G. C.; BARROS, B. de A.; PIMENTA, M. R.; LANA, U. G. de P.; DUARTE, C. E. M.; PASTINA, M. M.; GUIMARÃES, C. T.; SCHAFFERT, R. E.; KOCHIAN, L. V.; FONTES, E. P. B.; MAGALHAES, J. V. de. Repeat variants for the SbMATE transporter protect sorghum roots from aluminum toxicity by transcriptional interplay in cis and trans. Proceedings of the National Academy of Sciences of the United States of America, Washington, v. 116, n. 1, p. 313-318, 2019. Publicado online em 13 dez. 2018.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 90. | | SOUZA, V. F. de; PEREIRA, G. da S.; PASTINA, M. M.; PARRELLA, R. A. da C.; SIMEONE, M. L. F.; BARROS, B. de A.; NODA, R. W.; SILVA, L. da C. e; MAGALHAES, J. V. de; SCHAFFERT, R. E.; GARCIA, A. A. F.; DAMASCENO, C. M. B. QTL mapping for bioenergy traits in sweet sorghum recombinant inbred lines. G3: Genes, Genomes, Genetics, v. 11, 112021, 2021.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 91. | | MAGALHAES, J. V. de; PASTINA, M. M.; GAZAFFI, R.; MENEZES, C. B. de; ROSA, J. R. B. F.; GUIMARAES, C. T.; TARDIN, F. D.; SCHAFFERT, R. E.; GOMIDE, R. L.; ANDRADE, C. de L. T. de; ALBUQUERQUE, P. E. P. de; BASTOS, E. A.; CARDOSO, M. J. Escaneamento genômico para tolerância à seca em sorgo. Sete Lagoas: Embrapa Milho e Sorgo, 2016. 22 p. (Embrapa Milho e Sorgo. Boletim de Pesquisa e Desenvolvimento, 152).| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 92. | | DIAS, K. O. das G.; GEZAN, S. A.; GUIMARAES, C. T.; MAGALHAES, J. V. de; GUIMARAES, P. E. de O.; CARNEIRO, N. P.; PORTUGAL, A. F.; BASTOS, E. A.; CARDOSO, M. J.; ANONI, C. de O.; SOUZA, J. C. de; GUIMARAES, L. J. M.; PASTINA, M. M. Estimating genotype X environment interaction for and genetic correlations among drought tolerance traits in maize via factor analytic multiplicative mixed models. Crop Science, Madison, v. 58, p. 72-83, Jan. 2018. Publicado online em 30 out. 2017.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 93. | | PADUA, J. M. V.; DIAS, K. O. das G.; PASTINA, M. M.; SOUZA, J. C. de; QUEIROZ, V. A. V.; COSTA, R. V. da; SILVA, M. B. P. da; RIBEIRO, C. A. G.; GUIMARAES, C. T.; GEZAN, S. A.; GUIMARAES, L. J. M. A multi-environment trials diallel analysis provides insights on the inheritance of fumonisin contamination resistance in tropical maize. Euphytica, Dordrecht, v. 211, n. 3, p. 277-285, 2016| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 94. | | SILVA, K. J.; GUIMARÃES, C. T.; GUILHEN, J. H. S.; GUIMARAES, P. E. de O.; PARENTONI, S. N.; TRINDADE, R. dos S.; OLIVEIRA, A. A. de; BERNARDINO, K. da C.; PINTO, M. de O.; DIAS, K. O. das G.; BERNARDES, C. de O.; DIAS, L. A. dos S.; GUIMARAES, L. J. M.; PASTINA, M. M. High-density SNP-based genetic diversity and heterotic patterns of tropical maize breeding lines. Crop Science, v. 60, p. 779-787, 2020| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 96. | | DIAS, K. O. das G.; GEZAN, S. A.; GUIMARÃES, C. T.; NAZARIAN, A.; SILVA, L. da C. e; PARENTONI, S. N.; GUIMARAES, P. E. de O.; ANONI, C. de O.; PÁDUA, J. M. V.; PINTO, M. de O.; NODA, R. W.; RIBEIRO, C. A. G.; MAGALHAES, J. V. de; GARCIA, A. A. F.; SOUZA, J. C. de; GUIMARAES, L. J. M.; PASTINA, M. M. Improving accuracies of genomic predictions for drought tolerance in maize by joint modeling of additive and dominance effects in multi-environment trials. Heredity, London, v. 121, n. 1, p. 24-37, 2018.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 100. | | BERNARDINO, K. C.; PASTINA, M. M.; MENEZES, C. B. de; SOUSA, S. M. de; MACIEL, L. S.; CARVALHO JÚNIOR, G.; GUIMARÃES, C. T.; BARROS, B. de A.; SILVA, L. da C. e; CARNEIRO, P. C. S.; SCHAFFERT, R. E.; KOCHIAN, L. V.; MAGALHAES, J. V. de. The genetic architecture of phosphorus efficiency in sorghum involves pleiotropic QTL for root morphology and grain yield under low phosphorus availability in the soil. BMC Plant Biology, v. 19, n. 87, p. 1-15, 2019.| Biblioteca(s): Embrapa Milho e Sorgo. |
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Registro Completo
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
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Data corrente: |
22/11/2022 |
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Data da última atualização: |
22/11/2022 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
BERNARDELI, A.; DAMASCENO, C. M. B.; MAGALHAES, J. V. de; SOUZA, V. F. de; MELO, J. de O.; OLIVEIRA, A. A. de; SIMEONE, M. L. F.; BORÉM, A.; SCHAFFERT, R. E.; PARRELLA, R. A. da C.; PASTINA, M. M. |
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Afiliação: |
ARTHUR BERNARDELI, Universidade Federal de Viçosa; CYNTHIA MARIA BORGES DAMASCENO, CNPMS; JURANDIR VIEIRA DE MAGALHAES, CNPMS; VANDER FILLIPE DE SOUZA, Universidade Federal de Lavras; JANAÍNA DE OLIVEIRA MELO, Universidade Federal dos Vales do Jequitinhonha e Mucuri; AMANDA AVELAR DE OLIVEIRA, Escola Superior de Agricultura Luiz de Queiroz; MARIA LUCIA FERREIRA SIMEONE, CNPMS; ALUÍZIO BORÉM, Universidade Federal de Viçosa; ROBERT EUGENE SCHAFFERT, CNPMS; RAFAEL AUGUSTO DA COSTA PARRELLA, CNPMS; MARIA MARTA PASTINA, CNPMS. |
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Título: |
Population genomics and molecular breeding of sorghum. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
In: RAJORA, O. M. (ed.). Population genomics: crop plants, population genomics. Switzerland: Springer Nature, 2022. |
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Páginas: |
p. 1-52. |
|
DOI: |
https://doi.org/10.1007/13836_2022_104 |
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Idioma: |
Inglês |
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Conteúdo: |
Sorghum bicolor (L.) Moench is a multipurpose crop worldwide, and it is used as a source of food, fodder, feed, and fuel. It is currently considered a promising alternative crop for generating bioenergy from sugar and lignocellulosic biomass. Sweet sorghum accumulates soluble sugar in its juicy stalk, being more appropriate for first-generation ethanol production, while biomass sorghum can be used for second-generation ethanol or bioelectricity production. For the development of superior sorghum cultivars dedicated to grain or biomass usage, breeding programs usually focus on several traits related to bioenergy, most of them exhibiting a quantitative inheritance. The genetic architecture and the environmental effects involved in the phenotypic expression of major sorghum traits are key factors to improve sorghum as a grain or bioenergy crop. In this context, understanding the availability of sorghum genetic resources, diversity, and molecular information at the RNA and DNA level is fundamental to perform effective selection strategies in sorghum. Population genomics research is providing key insights into genome structure, genomic variation, genetic diversity and population structure, origin and domestication history, and genetic architecture of adaptation to local climate as well as genomic-assisted selection and breeding in sorghum. In this chapter, we thoroughly discuss the progress made on these population genomics and molecular breeding aspects in sorghum and present future perspectives. Substantial research progress has been made on understanding the genetic basis of economically important sorghum traits through the identification of QTLs via linkage mapping and genome-wide association study (GWAS). Genomic selection or genome-wide selection has a great potential for increasing genetic gains in sorghum breeding programs for bioenergy and other traits. MenosSorghum bicolor (L.) Moench is a multipurpose crop worldwide, and it is used as a source of food, fodder, feed, and fuel. It is currently considered a promising alternative crop for generating bioenergy from sugar and lignocellulosic biomass. Sweet sorghum accumulates soluble sugar in its juicy stalk, being more appropriate for first-generation ethanol production, while biomass sorghum can be used for second-generation ethanol or bioelectricity production. For the development of superior sorghum cultivars dedicated to grain or biomass usage, breeding programs usually focus on several traits related to bioenergy, most of them exhibiting a quantitative inheritance. The genetic architecture and the environmental effects involved in the phenotypic expression of major sorghum traits are key factors to improve sorghum as a grain or bioenergy crop. In this context, understanding the availability of sorghum genetic resources, diversity, and molecular information at the RNA and DNA level is fundamental to perform effective selection strategies in sorghum. Population genomics research is providing key insights into genome structure, genomic variation, genetic diversity and population structure, origin and domestication history, and genetic architecture of adaptation to local climate as well as genomic-assisted selection and breeding in sorghum. In this chapter, we thoroughly discuss the progress made on these population genomics and molecular breeding aspects in sorghum and present fu... Mostrar Tudo |
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Palavras-Chave: |
Domesticação; Seleção genômica. |
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Thesagro: |
Biomassa; Genética Molecular; Recurso Genético; Sorgo. |
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Categoria do assunto: |
G Melhoramento Genético |
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Marc: |
LEADER 02908naa a2200337 a 4500
001 2148576
005 2022-11-22
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/13836_2022_104$2DOI
100 1 $aBERNARDELI, A.
245 $aPopulation genomics and molecular breeding of sorghum.$h[electronic resource]
260 $c2022
300 $ap. 1-52.
520 $aSorghum bicolor (L.) Moench is a multipurpose crop worldwide, and it is used as a source of food, fodder, feed, and fuel. It is currently considered a promising alternative crop for generating bioenergy from sugar and lignocellulosic biomass. Sweet sorghum accumulates soluble sugar in its juicy stalk, being more appropriate for first-generation ethanol production, while biomass sorghum can be used for second-generation ethanol or bioelectricity production. For the development of superior sorghum cultivars dedicated to grain or biomass usage, breeding programs usually focus on several traits related to bioenergy, most of them exhibiting a quantitative inheritance. The genetic architecture and the environmental effects involved in the phenotypic expression of major sorghum traits are key factors to improve sorghum as a grain or bioenergy crop. In this context, understanding the availability of sorghum genetic resources, diversity, and molecular information at the RNA and DNA level is fundamental to perform effective selection strategies in sorghum. Population genomics research is providing key insights into genome structure, genomic variation, genetic diversity and population structure, origin and domestication history, and genetic architecture of adaptation to local climate as well as genomic-assisted selection and breeding in sorghum. In this chapter, we thoroughly discuss the progress made on these population genomics and molecular breeding aspects in sorghum and present future perspectives. Substantial research progress has been made on understanding the genetic basis of economically important sorghum traits through the identification of QTLs via linkage mapping and genome-wide association study (GWAS). Genomic selection or genome-wide selection has a great potential for increasing genetic gains in sorghum breeding programs for bioenergy and other traits.
650 $aBiomassa
650 $aGenética Molecular
650 $aRecurso Genético
650 $aSorgo
653 $aDomesticação
653 $aSeleção genômica
700 1 $aDAMASCENO, C. M. B.
700 1 $aMAGALHAES, J. V. de
700 1 $aSOUZA, V. F. de
700 1 $aMELO, J. de O.
700 1 $aOLIVEIRA, A. A. de
700 1 $aSIMEONE, M. L. F.
700 1 $aBORÉM, A.
700 1 $aSCHAFFERT, R. E.
700 1 $aPARRELLA, R. A. da C.
700 1 $aPASTINA, M. M.
773 $tIn: RAJORA, O. M. (ed.). Population genomics: crop plants, population genomics. Switzerland: Springer Nature, 2022.
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