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Registros recuperados : 103 | |
81. | | SILVA, M. J. da; PASTINA, M. M.; SOUZA, V. F. de; SCHAFFERT, R. E.; CARNEIRO, P. C. S.; NODA, R. W.; CARNEIRO, J. E. de S.; DAMASCENO, C. M. B.; PARRELLA, R. A. da C. Phenotypic and molecular characterization of sweet sorghum accessions for bioenergy production. Plos One, San Francisco, v. 12, n. 8, p. 1-19, 2017. Biblioteca(s): Embrapa Milho e Sorgo. |
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82. | | SILVA, M. J. da; PASTINA, M. M.; SOUZA, V. F. de; SCHAFFERT, R. E.; CARNEIRO, P. C. S.; NODA, R. W.; CARNEIRO, J. E. de S.; DAMASCENO, C. M. B.; PARRELLA, R. A. da C. Phenotypic and molecular characterization of sweet sorghum accessions for bioenergy production. In: SORGHUM IN THE 21st CENTURY, Cape Town, 2018. Food, feed and fuel in a rapidly changing world: abstracts. Cape Town: [s.n], 2018. Biblioteca(s): Embrapa Milho e Sorgo. |
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83. | | 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. Population genomics and molecular breeding of sorghum. In: RAJORA, O. M. (ed.). Population genomics: crop plants, population genomics. Switzerland: Springer Nature, 2022. p. 1-52. Biblioteca(s): Embrapa Milho e Sorgo. |
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84. | | SOUZA, I. R. P. de; MENDES, S. M.; RAFAEL, H. A.; BARROS, B. de A.; PINTO, M. de O.; CARNEIRO, N. P.; LANA, U. G. de P.; LANDAU, E. C.; RIBEIRO, C. A. G.; PASTINA, M. M. Population structure of Spodoptera frugiperda collected in maize from different Brazilian geographic regions. Revista Brasileira de Milho e Sorgo, Sete Lagoas, v. 14, n. 3, p. 300-315, 2015. Biblioteca(s): Embrapa Milho e Sorgo. |
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85. | | MAGALHAES, J. V.; MACIEL, B. H.; SOUSA, S. M. de; SILVA, L. A.; SCHAFFERT, R. E.; PASTINA, M. M.; BARROS, B. de A.; GUIMARAES, C. T.; NEGRI, B.; AZEVEDO, G.; VIANA, J. H. M. Validação de marcadores moleculares para eficiência na utilização de fósforo com base em genes SbPSTOL1 em sorgo. Sete Lagoas: Embrapa Milho e Sorgo, 2016. 10 p. (Embrapa Milho e Sorgo. Circular Técnica, 219). 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. | | 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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88. | | 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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89. | | 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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90. | | SILVA, K. J. da; GUIMARÃES, C. T.; SOUSA, S. M. de; BERNARDINO, K. da C.; TRINDADE, R. dos S.; QUEIROZ, V. A. V.; CONCEIÇÃO, R. R. P. da; GUILHEN, J. H. S.; OLIVEIRA, N. T. de; DAMASCENO, C. M. B.; NODA, R. W.; DIAS, L. A. dos S.; GUIMARAES, L. J. M.; MELO, J. de O.; PASTINA, M. M. A genome-wide association study investigating fumonisin contamination in a panel of tropical maize elite lines. Euphytica, v. 218, article 130, 2022. Biblioteca(s): Embrapa Milho e Sorgo. |
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91. | | SILVA, K. J. da; PASTINA, M. M.; GUIMARÃES, C. T.; MAGALHAES, J. V. de; PIMENTEL, L. D.; SCHAFFERT, R. E.; PINTO, M. de O.; SOUZA, V. F. de; BERNARDINO, K. da C.; SILVA, M. J. da; BORÉM, A.; MENEZES, C. B. de. Genetic diversity and heterotic grouping of sorghum lines using SNP markers. Scientia Agricola, v. 78, n. 6, e20200039, 2021. Biblioteca(s): Embrapa Milho e Sorgo. |
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92. | | OLIVEIRA, I. C. M.; GUILHEN, J. H. S.; RIBEIRO, P. C. de O.; GEZAN, S. A.; SCHAFFERT, R. E.; SIMEONE, M. L. F.; DAMASCENO, C. M. B.; CARNEIRO, J. E. de S.; CARNEIRO, P. C. S.; PARRELLA, R. A. da C.; PASTINA, M. M. Genotype-by-environment interaction and yield stability analysis of biomass sorghum hybrids using factor analytic models and environmental covariates. Field Crops Research, v. 257, 107929, 2020. Biblioteca(s): Embrapa Milho e Sorgo. |
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93. | | 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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94. | | GUIMARAES, C. T.; SIMOES, C. C.; PASTINA, M. M.; MARON, L. G.; MAGALHAES, J. V.; VASCONCELLOS, R. C. C.; GUIMARAES, L. J. M.; LANA, U. G. de P.; TINOCO, C. F. S.; NODA, R. W.; BELICUAS, S. N. J.; KOCHIAN, L. V.; ALVES, V. M. C.; PARENTONI, S. N. Genetic dissection of Al tolerance QTLs in the maize genome by high density SNP scan. BMC Genomics, v. 15, n. 153, p. 1-14, 2014. Biblioteca(s): Embrapa Milho e Sorgo. |
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95. | | PRIOLLI, R. H. G.; RAMOS, L. C. S.; POT, D.; MOLLER, M.; GALLO, P. B.; PASTINA, M. M.; GARCIA, A. A. F.; YAMAMOTO, P. Y.; LANNES, S. D.; VIEIRA, L. G. E.; FERREIRA, L. P.; MAZZAFERA, P.; PEREIRA, L. F. P.; COLOMBO, C. A. Construção de um mapa genético a partir de uma população F2 derivada do cruzamento entre Coffea arabica e C. canephora e Sua utilidade para qualidade de bebida. In: SIMPÓSIO DE PESQUISA DOS CAFÉS DO BRASIL, 6., 2009, Vitória. Inovação científica, competitividade e mudanças climáticas : anais. Vitória: Consórcio Pesquisa Café, 2009. Biblioteca(s): Embrapa Café. |
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96. | | PRIOLLI, R. H. G.; RAMOS, L. C. S.; POT, D.; MOLLER, M.; GALLO, P. B.; PASTINA, M. M.; GARCIA, A. A. F.; YAMAMOTO, P. Y.; LANNES, S. D.; FERREIRA, L. P.; SCHOLZ, M. B. S.; MAZZAFERA, P.; PEREIRA, L. F. P.; COLOMBO, L. F. P. Construction of a genetic map based on an interspecific F2 population between Coffea arabica and Coffea canephora and its usefulness for quality related traits. In: INTERNATIONAL CONFERENCE ON COFFEE SCIENCE, 22., 2008, Campinas. Biblioteca(s): Embrapa Café; Embrapa Unidades Centrais. |
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97. | | 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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98. | | 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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99. | | 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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100. | | 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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Registros recuperados : 103 | |
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Registro Completo
Biblioteca(s): |
Embrapa Milho e Sorgo. |
Data corrente: |
10/11/2017 |
Data da última atualização: |
24/06/2019 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
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. |
Afiliação: |
Kaio Olímpio das Graças Dias, Universidade Federal de Lavras; Salvador Alejandro Gezan, University of Florida; CLAUDIA TEIXEIRA GUIMARAES, CNPMS; JURANDIR VIEIRA DE MAGALHAES, CNPMS; PAULO EVARISTO DE O GUIMARAES, CNPMS; NEWTON PORTILHO CARNEIRO, CNPMS; ARLEY FIGUEIREDO PORTUGAL, CNPMS; EDSON ALVES BASTOS, CPAMN; MILTON JOSE CARDOSO, CPAMN; Carina de Oliveira Anoni, Escola Superior de Agricultura "Luiz de Queiroz"; João Cândido de Souza, Universidade Federal de Lavras; LAURO JOSE MOREIRA GUIMARAES, CNPMS; MARIA MARTA PASTINA, CNPMS. |
Título: |
Estimating genotype X environment interaction for and genetic correlations among drought tolerance traits in maize via factor analytic multiplicative mixed models. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
Crop Science, Madison, v. 58, p. 72-83, Jan. 2018. |
DOI: |
10.2135/cropsci2016.07.0566 |
Idioma: |
Inglês |
Notas: |
Publicado online em 30 out. 2017. |
Conteúdo: |
Water deficit is one of the most common causes of severe crop-production losses worldwide in maize (Zea mays L.). The main goal of this study was to infer about genotype X environment interaction (G X E) and to estimate genetic correlations between drought tolerance traits in maize using factor analytic (FA) multiplicative mixed models in the context of multi-environment trial (MET) and multi-trait multi-environment trial (MTMET) analyses. The traits measured were: grain yield (GY), ears per plot (EPP), anthesis-silking interval (ASI), female flowering time (FFT), and male flowering time (MFT). Three-hundred and eight hybrids were evaluated in a total of eight trials conducted under water-stressed (WS) and well-watered (WW) conditions across 2 yr and two locations in Brazil. For most of the traits (GY, ASI, and FFT), the magnitude of the genetic variances differed across WS and WW conditions. Genetic correlations between water conditions for FFT and MFT were 0.81 and 0.82, respectively, indicating that it might be unnecessary to measure these traits in both water conditions. Grain yield and EPP showed moderate to high G X E, with genetic correlations of 0.57 and 0.39 between WS and WW conditions, respectively, which suggested that gene expression was not consistent across different water regimes. Therefore, it is necessary to evaluate these traits under both water conditions. Genetic correlations between pairs of traits, in general, were higher under WS conditions compared with WW conditions.Grain yield exhibited moderate correlations with EPP (r = 0.62) and FFT (r = - 0.42) under WS conditions. The FA models can be a useful tool for MET and MTMET analyses in maize breeding programs for drought tolerance. MenosWater deficit is one of the most common causes of severe crop-production losses worldwide in maize (Zea mays L.). The main goal of this study was to infer about genotype X environment interaction (G X E) and to estimate genetic correlations between drought tolerance traits in maize using factor analytic (FA) multiplicative mixed models in the context of multi-environment trial (MET) and multi-trait multi-environment trial (MTMET) analyses. The traits measured were: grain yield (GY), ears per plot (EPP), anthesis-silking interval (ASI), female flowering time (FFT), and male flowering time (MFT). Three-hundred and eight hybrids were evaluated in a total of eight trials conducted under water-stressed (WS) and well-watered (WW) conditions across 2 yr and two locations in Brazil. For most of the traits (GY, ASI, and FFT), the magnitude of the genetic variances differed across WS and WW conditions. Genetic correlations between water conditions for FFT and MFT were 0.81 and 0.82, respectively, indicating that it might be unnecessary to measure these traits in both water conditions. Grain yield and EPP showed moderate to high G X E, with genetic correlations of 0.57 and 0.39 between WS and WW conditions, respectively, which suggested that gene expression was not consistent across different water regimes. Therefore, it is necessary to evaluate these traits under both water conditions. Genetic correlations between pairs of traits, in general, were higher under WS conditions compared w... Mostrar Tudo |
Palavras-Chave: |
Tolerância à seca. |
Thesagro: |
Genótipo; Milho. |
Categoria do assunto: |
G Melhoramento Genético |
Marc: |
LEADER 02775naa a2200325 a 4500 001 2079470 005 2019-06-24 008 2018 bl uuuu u00u1 u #d 024 7 $a10.2135/cropsci2016.07.0566$2DOI 100 1 $aDIAS, K. O. das G. 245 $aEstimating genotype X environment interaction for and genetic correlations among drought tolerance traits in maize via factor analytic multiplicative mixed models.$h[electronic resource] 260 $c2018 500 $aPublicado online em 30 out. 2017. 520 $aWater deficit is one of the most common causes of severe crop-production losses worldwide in maize (Zea mays L.). The main goal of this study was to infer about genotype X environment interaction (G X E) and to estimate genetic correlations between drought tolerance traits in maize using factor analytic (FA) multiplicative mixed models in the context of multi-environment trial (MET) and multi-trait multi-environment trial (MTMET) analyses. The traits measured were: grain yield (GY), ears per plot (EPP), anthesis-silking interval (ASI), female flowering time (FFT), and male flowering time (MFT). Three-hundred and eight hybrids were evaluated in a total of eight trials conducted under water-stressed (WS) and well-watered (WW) conditions across 2 yr and two locations in Brazil. For most of the traits (GY, ASI, and FFT), the magnitude of the genetic variances differed across WS and WW conditions. Genetic correlations between water conditions for FFT and MFT were 0.81 and 0.82, respectively, indicating that it might be unnecessary to measure these traits in both water conditions. Grain yield and EPP showed moderate to high G X E, with genetic correlations of 0.57 and 0.39 between WS and WW conditions, respectively, which suggested that gene expression was not consistent across different water regimes. Therefore, it is necessary to evaluate these traits under both water conditions. Genetic correlations between pairs of traits, in general, were higher under WS conditions compared with WW conditions.Grain yield exhibited moderate correlations with EPP (r = 0.62) and FFT (r = - 0.42) under WS conditions. The FA models can be a useful tool for MET and MTMET analyses in maize breeding programs for drought tolerance. 650 $aGenótipo 650 $aMilho 653 $aTolerância à seca 700 1 $aGEZAN, S. A. 700 1 $aGUIMARAES, C. T. 700 1 $aMAGALHAES, J. V. de 700 1 $aGUIMARAES, P. E. de O. 700 1 $aCARNEIRO, N. P. 700 1 $aPORTUGAL, A. F. 700 1 $aBASTOS, E. A. 700 1 $aCARDOSO, M. J. 700 1 $aANONI, C. de O. 700 1 $aSOUZA, J. C. de 700 1 $aGUIMARAES, L. J. M. 700 1 $aPASTINA, M. M. 773 $tCrop Science, Madison$gv. 58, p. 72-83, Jan. 2018.
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