Antonio Augusto Franco Garcia
CV Lattes
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Universidade de São Paulo (USP). Escola Superior de Agricultura Luiz de Queiroz (ESALQ) (Institutional affiliation for the last research proposal) Birthplace: Brazil
graduation at Engenharia Agronômica from Universidade de São Paulo (1990), master's at Agronomy from Universidade de São Paulo (1993) and doctorate at Agronomy from Universidade de São Paulo (1998). Has experience in Agronomy, acting on the following subjects: melhoramento genético, marcadores moleculares, mapeamento de qtls, mapeamento genético and cana-de-açúcar. (Source: Lattes Curriculum)
| News published in Agência FAPESP Newsletter about the researcher |
| New tool facilitates genetic mapping of polyploid plants |
- Development and application of new models for genome-wide selection in plants, AV.EXT
Abstract
Development and application of new models for genome-wide selection in plants. (AU)
- Development and use of SSR and DArT genetic markers to study genetic diversity in macadamia (Macadamia integrifolia), AP.R
Abstract
The macadamia (Macadamia integrifolia) is a nut crop tree widespread across eastern Australia.Although, it was introduced in Brazil in 1931, just in the past 20 years its cultivated area hasexpanded more signicantly. However, 80% of the orchards consists of exotic varieties, and just 17local cultivars are available to farmers. Therefore, the lack of local varieties makes indispensable t...
- Genomic-assisted breeding of sugarcane: using molecular markers for understanding the genetic architecture of quantitative traits and to implement marker assisted selection, AP.BIOEN.TEM
Abstract
Breeding programs have been successfully over the years in the generation of new improved sugarcane varieties (Saccharum spp.), which are more productive and resistant to pests, diseases and abiotic stresses. These varieties are of central importance for sugar and ethanol production. However, breeding process takes about 10 to 15 years to release new varieties, mainly because of the dif...
- Genomic selection implementation in maize using a statistical-genetics model that accounts for genotype-by-environment interaction, additive and non-additive genetic effects, BP.PD
Abstract
Once reduction of the costs of genotyping technologies have been occurred, the use of genomic selection for the improvement of quantitative traits, is a technology that has been applied to increase the genetic gains and reduce costs of phenotyping in breeding programs. In genomic selection, phenotypic data arising from breeding programs in multiple environments trials maybe used for the...
- Development of temporal genomic selection models via Bayesian Networks applied to sorghum bicolor, BP.DR
Abstract
New Genomic Selection models that allows predicting sorghum (Sorghum bicolor) traits early in season using repeated measures data obtained from robotic platforms may help to increase predictability accuracy of genotypes after successive circles of selection using only molecular markers information. However, to date, there is no developed Genomic selection models that can recovery tempor...
- Statistical models for genomic selection in Panicum maximum considering allelic dosage, BP.DR
Abstract
The main objective is to develop statistical models for genomic selection in Panicum maximum (autotetraploid forage), with the partnership of the Embrapa Beef and Cattle-Brazil. The training population consists in the basis cycle of intrapopulation recurrent selection of the Embrapa Breeding Program. The selection population will be the following cycles of the program. The base populati...
- Development of statistic genetic models for genomic selection in Coffea canephora and other species, BP.DR
Abstract
Genomic selection (GWS) may be defined as the simultaneous selection of hundreds or thousands of molecular markers (SNPs), which cover the genome of dense form, so that all the genes of a quantitative locus (QTL) are in linkage disequilibrium with one of these markers. Thus, the markers associated with QTLs, regardless of the effects magnitude, are used to explain the genetic variation ...
(Only some records are available in English at this moment)
- Genomic prediction using multi-year data: a case study in a hybrid maize breeding program, BE.EP.PD
Abstract
Single-cross hybrids have been used to explore heterosis in selfing and outcrossing species. However, as it is infeasible to obtain and evaluate all possible combinations among pairs of inbred lines, predict the performance of untested single-cross hybrids is essential to increase genetic gains in breeding programs. In a breeding routine, data are often unbalanced because different sets...
- Development of temporal genomic selection models via dynamic Bayesian Networks, with application to sorghum bicolor, BE.EP.DR
Abstract
Sorghum (Sorghum bicolor L. Moench spp.) is a bioenergy crop that contains several appealing features for exploration in breeding to increase the efficiency of bioenergy production. In genomic selection, high-throughput phenotyping (HTP) data collected over time have a temporal correlation structure still not addressed by genetic models. Dynamic Bayesian Networks (DBN) is a modeling fra...
- Genomic prediction in Coffea canephora using polygenic modeling, BE.EP.DR
Abstract
Genomic selection (GS) is defined as the simultaneous selection of hundreds or thousands of molecular markers (SNPs), so that the majority of quantitative trait locus (QTL) are in linkage disequilibrium with the markers. Thus, markers associated with QTLs, regardless of the effects magnitude, are used to explain the genetic variation of quantitative loci and guide the selection. Simulat...
(Only some records are available in English at this moment)
| 4 / 3 | Completed research grants |
| 1 / 1 | Ongoing scholarships in Brazil |
| 18 / 12 | Completed scholarships in Brazil |
| 5 / 5 | Completed scholarships abroad |
| 28 / 21 | All research grants and scholarships |
| Associated processes | |
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
| Publications | 21 |
| Citations | 229 |
| Cit./Article | 10.9 |
| Data from Web of Science | |
DAS GRACAS DIAS, KAIO OLIMPIO; GEZAN, SALVADOR ALEJANDRO; GUIMARAES, CLAUDIA TEIXEIRA; PARENTONI, SIDNEY NETTO; DE OLIVEIRA GUIMARAES, PAULO EVARISTO; CARNEIRO, NEWTON PORTILHO; PORTUGAL, ARLEY FIGUEIREDO; BASTOS, EDSON ALVES; CARDOSO, MILTON JOSE; ANONI, CARINA DE OLIVEIRA; et al. Estimating Genotype X Environment Interaction for and Genetic Correlations among Drought Tolerance Traits in Maize via Factor Analytic Multiplicative Mixed Models. CROP SCIENCE, v. 58, n. 1, p. 72-83, JAN-FEB 2018. Web of Science Citations: 1. (16/12977-7)
COSTA, E. A.; ANONI, C. O.; MANCINI, M. C.; SANTOS, F. R. C.; MARCONI, T. G.; GAZAFFI, R.; PASTINA, M. M.; PERECIN, D.; MOLLINARI, M.; XAVIER, M. A.; et al. QTL mapping including codominant SNP markers with ploidy level information in a sugarcane progeny. EUPHYTICA, v. 211, n. 1, p. 1-16, SEP 2016. Web of Science Citations: 7. (10/06715-3, 08/52197-4, 05/55258-6, 08/57908-6)
VENTORIM FERRAO, LUIS FELIPE; FERRAO, ROMARIO GAVA; GAVA FERRAO, MARIA AMELIA; FRANCISCO, AYMBIRE; FRANCO GARCIA, ANTONIO AUGUSTO. A mixed model to multiple harvest-location trials applied to genomic prediction in Coffea canephora. Tree Genetics & Genomes, v. 13, n. 5, OCT 2017. Web of Science Citations: 8. (14/20389-2)
ALMEIDA BALSALOBRE, THIAGO WILLIAN; PEREIRA, GUILHERME DA SILVA; ALVES MARGARIDO, GABRIEL RODRIGUES; GAZAFFI, RODRIGO; BARRETO, FERNANDA ZATTI; ANONI, CARINA OLIVEIRA; CARDOSO-SILVA, CLAUDIO BENICIO; COSTA, ESTELA ARAUJO; MANCINI, MELINA CRISTINA; HOFFMANN, HERMANN PAULO; et al. GBS-based single dosage markers for linkage and QTL mapping allow gene mining for yield-related traits in sugarcane. BMC Genomics, v. 18, JAN 11 2017. Web of Science Citations: 22. (12/25236-4, 08/52197-4, 12/11109-0, 08/57908-6)
BALSALOBRE, THIAGO W. A.; MANCINI, MELINA C.; PEREIRA, GUILHERME DA S.; ANONI, CARINA O.; BARRETO, FERNANDA Z.; HOFFMANN, HERMANN P.; DE SOUZA, ANETE P.; GARCIA, ANTONIO A. F.; CARNEIRO, MONALISA S.. Mixed Modeling of Yield Components and Brown Rust Resistance in Sugarcane Families. AGRONOMY JOURNAL, v. 108, n. 5, p. 1824-1837, SEP-OCT 2016. Web of Science Citations: 6. (08/52197-4, 12/25236-4)
GAZAFFI, RODRIGO; MARGARIDO, GABRIEL R. A.; PASTINA, MARIA MARTA; MOLLINARI, MARCELO; GARCIA, ANTONIO AUGUSTO F.. A model for quantitative trait loci mapping, linkage phase, and segregation pattern estimation for a full-sib progeny. Tree Genetics & Genomes, v. 10, n. 4, p. 791-801, AUG 2014. Web of Science Citations: 12. (12/13272-6, 08/54402-4, 10/00083-5)
FERNANDES, SAMUEL B.; DIAS, KAIO O. G.; FERREIRA, DANIEL F.; BROWN, PATRICK J.. Efficiency of multi-trait, indirect, and trait-assisted genomic selection for improvement of biomass sorghum. THEORETICAL AND APPLIED GENETICS, v. 131, n. 3, p. 747-755, MAR 2018. Web of Science Citations: 15. (16/12977-7)
PEREIRA, GUILHERME S.; GARCIA, ANTONIO AUGUSTO F.; MARGARIDO, GABRIEL R. A.. A fully automated pipeline for quantitative genotype calling from next generation sequencing data in autopolyploids. BMC Bioinformatics, v. 19, NOV 1 2018. Web of Science Citations: 4. (08/52197-4, 15/22993-7, 12/25236-4)
GERARD, DAVID; FERRAO, LUIS FELIPE VENTORIM; FRANCO GARCIA, ANTONIO AUGUSTO; STEPHENS, MATTHEW. Genotyping Polyploids from Messy Sequencing Data. Genetics, v. 210, n. 3, p. 789-807, NOV 2018. Web of Science Citations: 11. (14/20389-2)
DAS GRACAS DIAS, KAIO OLIMPIO; GEZAN, SALVADOR ALEJANDRO; GUIMARAES, CLAUDIA TEIXEIRA; NAZARIAN, ALIREZA; DA COSTA E SILVA, LUCIANO; PARENTONI, SIDNEY NETTO; DE OLIVEIRA GUIMARAES, PAULO EVARISTO; ANONI, CARINA DE OLIVEIRA; VILLELA PADUA, JOSE MARIA; PINTO, MARCOS DE OLIVEIRA; et al. Improving accuracies of genomic predictions for drought tolerance in maize by joint modeling of additive and dominance effects in multi-environment trials. HEREDITY, v. 121, n. 1, p. 24-37, JUL 2018. Web of Science Citations: 5. (16/12977-7)
MILLOR FERNANDES DO ROSÁRIO; MÔNICA CORRÊA LEDUR; ANA SILVIA ALVES MEIRA TAVARES MOURA; LUIZ LEHMANN COUTINHO; ANTONIO AUGUSTO FRANCO GARCIA. Genotypic characterization of microsatellite markers in broiler and layer selected chicken lines and their reciprocal F1s. Scientia Agricola, v. 66, n. 2, p. -, Abr. 2009.
MOLLINARI, M.; MARGARIDO, G. R. A.; VENCOVSKY, R.; GARCIA, A. A. F.. Evaluation of algorithms used to order markers on genetic maps. HEREDITY, v. 103, n. 6, p. 494-502, DEC 2009. Web of Science Citations: 23. (08/54402-4)
ROSARIO, M. F.; GAZAFFI, R.; MOURA, A. S. A. M. T.; LEDUR, M. C.; COUTINHO, L. L.; GARCIA, A. A. F.. Composite interval mapping and mixed models reveal QTL associated with performance and carcass traits on chicken chromosomes 1, 3, and 4. JOURNAL OF APPLIED GENETICS, v. 55, n. 1, p. 97-103, FEB 2014. Web of Science Citations: 1. (12/13272-6)
MARGARIDO, G. R. A.; PASTINA, M. M.; SOUZA, A. P.; GARCIA, A. A. F.. Multi-trait multi-environment quantitative trait loci mapping for a sugarcane commercial cross provides insights on the inheritance of important traits. MOLECULAR BREEDING, v. 35, n. 8, AUG 2015. Web of Science Citations: 5. (08/52197-4)
ROSARIO, M. F.; MARGARIDO, G. R. A.; BOSCHIERO, C.; MOURA, A. S. A. M. T.; LEDUR, M. C.; COUTINHO, L. L.; GARCIA, A. A. F.. Precision of distances and ordering of microsatellite markers in consensus linkage maps of chromosomes 1, 3 and 4 from two reciprocal chicken populations using bootstrap sampling. Genetics and Molecular Research, v. 9, n. 3, p. 1357-1376, 2010. Web of Science Citations: 3.
SERANG, OLIVER; MOLLINARI, MARCELO; FRANCO GARCIA, ANTONIO AUGUSTO. Efficient Exact Maximum a Posteriori Computation for Bayesian SNP Genotyping in Polyploids. PLoS One, v. 7, n. 2, FEB 17 2012. Web of Science Citations: 44. (08/52197-4, 08/54402-4)
PASTINA, M. M.; MALOSETTI, M.; GAZAFFI, R.; MOLLINARI, M.; MARGARIDO, G. R. A.; OLIVEIRA, K. M.; PINTO, L. R.; SOUZA, A. P.; VAN EEUWIJK, F. A.; GARCIA, A. A. F.. A mixed model QTL analysis for sugarcane multiple-harvest-location trial data. THEORETICAL AND APPLIED GENETICS, v. 124, n. 5, p. 835-849, MAR 2012. Web of Science Citations: 42. (08/52197-4, 10/00083-5, 08/57908-6)
DO ROSARIO, MILLOR FERNANDES; LEDUR, MONICA CORREA; MEIRA TAVARES MOURA, ANA SILVIA ALVES; COUTINHO, LUIZ LEHMANN; FRANCO GARCIA, ANTONIO AUGUSTO. GENOTYPIC CHARACTERIZATION OF MICROSATELLITE MARKERS IN BROILER AND LAYER SELECTED CHICKEN LINES AND THEIR RECIPROCAL F(1)s. Scientia Agricola, v. 66, n. 2, p. 150-158, 2009. Web of Science Citations: 19.
VENTORIM FERRAO, LUIS FELIPE; FERRAO, ROMARIO GAVA; GAVA FERRAO, MARIA AMELIA; FONSECA, AYMBIRE; CARBONETTO, PETER; STEPHENS, MATTHEW; FRANCO GARCIA, ANTONIO AUGUSTO. Accurate genomic prediction of Coffea canephora in multiple environments using whole-genome statistical models. HEREDITY, v. 122, n. 3, p. 261-275, MAR 2019. Web of Science Citations: 0. (14/20389-2, 16/05127-7)
BARRETO, FERNANDA ZATTI; BACHEGA FEIJO ROSA, JOAO RICARDO; ALMEIDA BALSALOBRE, THIAGO WILLIAN; PASTINA, MARIA MARTA; SILVA, RENATO RODRIGUES; HOFFMANN, HERMANN PAULO; DE SOUZA, ANETE PEREIRA; FRANCO GARCIA, ANTONIO AUGUSTO; CARNEIRO, MONALISA SAMPAIO. A genome-wide association study identified loci for yield component traits in sugarcane (Saccharum spp.). PLoS One, v. 14, n. 7, JUL 18 2019. Web of Science Citations: 1. (08/52197-4, 10/06702-9, 08/57908-6)
LARA, LETICIA A. DE C.; SANTOS, MATEUS F.; JANK, LIANA; CHIARI, LUCIMARA; VILELA, MARIANE DE M.; AMADEU, RODRIGO R.; DOS SANTOS, JHONATHAN P. R.; PEREIRA, GUILHERME DA S.; ZENG, ZHAO-BANG; GARCIA, ANTONIO AUGUSTO F.. Genomic Selection with Allele Dosage in Panicum maximum Jacq.. G3-GENES, GENOMES, GENETICS, v. 9, n. 8, p. 2463-2475, AUG 2019. Web of Science Citations: 0. (16/01279-7, 17/03625-2, 15/20659-2, 17/25674-5)
MOLLINARI, MARCELO; FRANCO GARCIA, ANTONIO AUGUSTO. Linkage Analysis and Haplotype Phasing in Experimental Autopolyploid Populations with High Ploidy Level Using Hidden Markov Models. G3-GENES, GENOMES, GENETICS, v. 9, n. 10, p. 3297-3314, OCT 2019. Web of Science Citations: 0. (12/17009-8, 13/12245-8, 08/52197-4)
(References retrieved automatically from State of São Paulo Research Institutions)
ROSÁRIO, Millor Fernandes Do. Arquitetura genética de características quantitativas associadas ao desempenho e ao rendimento de carcaça na galinha doméstica. 2008. Tese (Doutorado) – Escola Superior de Agricultura Luiz de Queiroz. Universidade de São Paulo (USP). Piracicaba. (04/02080-2)
MARGARIDO, Gabriel Rodrigues Alves. Mapeamento de QTLs em múltiplos caracteres e ambientes em cruzamento comercial de cana-de-açucar usando modelos mistos. 2011. Tese (Doutorado) – Escola Superior de Agricultura Luiz de Queiroz. Universidade de São Paulo (USP). Piracicaba. (07/02775-9)
ANONI, Carina de Oliveira. Mapeamento de QTLs em progênie de irmãos-completos de cana-de-açúcar utilizando imputação múltipla. 2012. Dissertação (Mestrado) - Escola Superior de Agricultura Luiz de Queiroz. Universidade de São Paulo (USP). Piracicaba. (10/06715-3)
ROSA, João Ricardo Bachega Feijó. Análise do desequilíbrio de ligação e da estrutura populacional do germoplasma brasileiro de cana-de-açúcar. 2012. Dissertação (Mestrado) - Escola Superior de Agricultura Luiz de Queiroz. Universidade de São Paulo (USP). Piracicaba. (10/06702-9)
MOLLINARI, Marcelo. Desenvolvimento de um modelo para construção de mapas genéticos em autopoliploides, com aplicações em cana-de-açúcar. 2012. Tese (Doutorado) – Escola Superior de Agricultura Luiz de Queiroz. Universidade de São Paulo (USP). Piracicaba. (08/54402-4)
LARA, Letícia Aparecida de Castro. Modelos genéticos-estatísticos para seleção genômica em Panicum maximum com informação de dosagem alélica. 2017. Tese (Doutorado) – Escola Superior de Agricultura Luiz de Queiroz. Universidade de São Paulo (USP). Piracicaba. (15/20659-2)
PEREIRA, Guilherme da Silva. Mapeamento comparativo de QTLs entre sorgo sacarino e cana-de-açúcar para caracteres bioenergéticos. 2015. Tese (Doutorado) – Escola Superior de Agricultura Luiz de Queiroz. Universidade de São Paulo (USP). Piracicaba. (12/25236-4)
FERRÃO, Luís Felipe Ventorim. Desenvolvimento e aplicação de métodos genético-estatíticos para predição genômica em Coffea canephora. 2017. Tese (Doutorado) – Escola Superior de Agricultura Luiz de Queiroz. Universidade de São Paulo (USP). Piracicaba. (14/20389-2)
SANTOS, Jhonathan Pedroso Rigal dos. Novas redes Bayesianas para predição genômica de caracteres de desenvolvimento em sorgo biomassa. 2019. Tese (Doutorado) – Escola Superior de Agricultura Luiz de Queiroz. Universidade de São Paulo (USP). Piracicaba. (17/03625-2)