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 Federal de Pelotas (2006), master's at Agronomy from Universidade de São Paulo (2008) and doctorate at Agronomy from Universidade Federal de Viçosa (2011). Has experience in Agronomy, focusing on Vegetable Improvement. (Source: Lattes Curriculum)
Genomic prediction (GS) studies using diversity panels are essential to identify genetic variations associated with traits of interest in maize. Unfortunately, most of these studies have been conducted on temperate germplasm and on a global germplasm collection in which tropical genotypes are under-represented. Nonetheless, a continuous effort has been directed to improving the accuracy o…
To meet the global demand for food a significant portion of maize crops will occur in environmental conditions that restrict the full development of culture. In Brazil, this is already happening on a large scale, where which much of our crop production migrated to the season called "safrinha" and for areas of the Cerrado. In these areas it is common the low availability of nutrients in th…
Phenotyping can be performed at different phenological crop stages, which allows the understanding of the relationships between yield and physiological traits, as well as their dynamics throughout the growth and development process. However, the traditional evaluation is a labor-intensive, poorly automated, highly sensitive to environmental features, and, in some cases, subjective. On the…
One of the assumptions of diallel analysis is to assume parents as unrelated, which in practice does not occur and can lead to biased results. In addition, another critical factor in a hybrid breeding program is the genomic prediction being performed based on the same allelic substitution effects for two complementary heterotic groups. This may lead to a convergent selection of parents an…
Due to high demand of nitrogen for maize crop, plant breeding projects with the aid of modern technologies, such as genome wide selection (GWS), aiming to obtain cultivars more efficient in nitrogen use, are fundamental for sustainable agriculture in Brazil. Thus, the aim of this work is to evaluate the accuracy and predictive ability of non-additive models of GWS for nitrogen use efficie…
(Only some records are available in English at this moment)
One of the assumptions of diallel analysis is to accept parents as unrelated, what in practice does not occur and can lead to biased results. Moreover, a critical factor in a hybrid breeding program is the genomic prediction being performed based on the same allelic substitution effects for two complementary heterotic groups. It may lead to a convergent selection of parents and, consequen…
The greatest difficulty in maize breeding is to generate and evaluate all possible hybrid combinations (complete diallel). To reduce this difficulty, several genetic mating designs have been proposed, such as the partial diallel, circulant diallel, and testcross. These designs can cause wide differences in the estimates of variance components and of the value of the best parents, mainly d…
Genomic selection (GS) is a method to predict the genetic value of selection candidates based on the genomic estimated breeding value (GEBV) predicted from high-density markers positioned throughout the genome. The accuracy of prediction of hybrid performance by GS has been examined in maize. However, there are many challenges in GS to increase the accuracy of the estimation of GEBV. For …
| 3 / 2 | Completed research grants |
| 4 / 4 | Completed scholarships in Brazil |
| 3 / 3 | Completed scholarships abroad |
| 10 / 9 | 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 | 13 |
| Citations | 32 |
| Cit./Article | 2.5 |
| Data from Web of Science | |
LYRA, DANILO HOTTIS; MENDONCA, LEANDRO DE FREITAS; GALLI, GIOVANNI; ALVES, FILIPE COUTO; CORREIA GRANATO, ITALO STEFANINE; FRITSCHE-NETO, ROBERTO. Multi-trait genomic prediction for nitrogen response indices in tropical maize hybrids. MOLECULAR BREEDING, v. 37, n. 6, JUN 2017. Web of Science Citations: 11. (13/24135-2, 15/14376-8, 14/26326-2)
MOROSINI, JULIA SILVA; MENDONCA, LEANDRO DE FREITAS; LYRA, DANILO HOTTIS; GALLI, GIOVANNI; VIDOTTI, MIRIAM SUZANE; FRITSCHE-NETO, ROBERTO. Association mapping for traits related to nitrogen use efficiency in tropical maize lines under field conditions. PLANT AND SOIL, v. 421, n. 1-2, p. 453-463, DEC 2017. Web of Science Citations: 4. (13/24135-2)
LYRA, DANILO HOTTIS; GALLI, GIOVANNI; ALVES, FILIPE COUTO; CORREIA GRANATO, ITALO STEFANINE; VIDOTTI, MIRIAM SUZANE; BANDEIRA E SOUSA, MASSAINE; MOROSINI, JULIA SILVA; CROSSA, JOSE; FRITSCHE-NETO, ROBERTO. Modeling copy number variation in the genomic prediction of maize hybrids. THEORETICAL AND APPLIED GENETICS, v. 132, n. 1, p. 273-288, JAN 2019. Web of Science Citations: 1. (13/24135-2, 15/14376-8, 14/26326-2)
MATIAS, FILIPE INACIO; MOROSINI, JULIA SILVA; ESPOLADOR, FERNANDO GARCIA; FRITSCHE-NETO, ROBERTO. Be-Breeder 2.0: A Web Application for Genetic Analyses in a Plant Breeding Context. CROP SCIENCE, v. 59, n. 4, p. 1371-1373, JUL-AUG 2019. Web of Science Citations: 0. (17/25549-6)
FRISTCHE-NETO, ROBERTO; AKDEMIR, DENIZ; JANNINK, JEAN-LUC. Accuracy of genomic selection to predict maize single-crosses obtained through different mating designs. THEORETICAL AND APPLIED GENETICS, v. 131, n. 5, p. 1153-1162, MAY 2018. Web of Science Citations: 10. (15/26251-5, 13/24135-2)
ALVES, FILIPE COUTO; CORREA GRANATO, AITALO STEFANINE; GALLI, GIOVANNI; LYRA, DANILO HOTTIS; FRITSCHE-NETO, ROBERTO; DE LOS CAMPOS, GUSTAVO. Bayesian analysis and prediction of hybrid performance. PLANT METHODS, v. 15, FEB 6 2019. Web of Science Citations: 2. (13/24135-2)
GALLI, GIOVANNI; LYRA, DANILO HOTTIS; ALVES, FILIPE COUTO; CORREIA GRANATO, ITALO STEFANINE; BANDEIRA E SOUSA, MASSAINE; FRITSCHE-NETO, ROBERTO. Impact of Phenotypic Correction Method and Missing Phenotypic Data on Genomic Prediction of Maize Hybrids. CROP SCIENCE, v. 58, n. 4, p. 1481-1491, JUL-AUG 2018. Web of Science Citations: 1. (13/24135-2)
MENDONCA, LEANDRO F.; FRITSCHE-NETO, ROBERTO; GRANATO, ITALO S. C.; ALVES, FILIPE C.. Accuracy and simultaneous selection gains for grain yield and earliness in tropical maize lines. MAYDICA, v. 61, n. 3, 2016. Web of Science Citations: 1. (14/23635-4)
COSTA-NETO, GERMANO; FRITSCHE-NETO, ROBERTO; CROSSA, JOSE. Nonlinear kernels, dominance, and envirotyping data increase the accuracy of genome-based prediction in multi-environment trials. HEREDITY, v. 126, n. 1, AUG 2020. Web of Science Citations: 2. (17/24327-0)
LYRA, DANILO HOTTIS; CORREIA GRANATO, ITALO STEFANINE; PINHO MORAIS, PEDRO PATRIC; ALVES, FILIPE COUTO; MARCONDES DOS SANTOS, ANNA RITA; YU, XIAOQING; GUO, TINGTING; YU, JIANMING; FRITSCHE-NETO, ROBERTO. Controlling population structure in the genomic prediction of tropical maize hybrids. MOLECULAR BREEDING, v. 38, n. 10, OCT 2018. Web of Science Citations: 0. (13/24135-2, 14/26326-2, 15/14376-8)
LYRA, DANILO HOTTIS; GALLI, GIOVANNI; ALVES, FILIPE COUTO; CORREIA GRANATO, ITALO STEFANINE; VIDOTTI, MIRIAM SUZANE; BANDEIRA E SOUSA, MASSAINE; MOROSINI, JULIA SILVA; CROSSA, JOSE; FRITSCHE-NETO, ROBERTO. Modeling copy number variation in the genomic prediction of maize hybrids. THEORETICAL AND APPLIED GENETICS, v. 132, n. 1, p. 273-288, JAN 2019. Web of Science Citations: 1. (13/24135-2, 15/14376-8, 14/26326-2)
ALVES, FILIPE COUTO; GALLI, GIOVANNI; MATIAS, FILIPE INACIO; VIDOTTI, MIRIAM SUZANE; MOROSINI, JULIA SILVA; FRITSCHE-NETO, ROBERTO. Impact of the complexity of genotype by environment and dominance modeling on the predictive accuracy of maize hybrids in multi-environment prediction models. EUPHYTICA, v. 217, n. 3, FEB 11 2021. Web of Science Citations: 0. (13/24135-2)
LYRA, DANILO HOTTIS; MENDONCA, LEANDRO DE FREITAS; GALLI, GIOVANNI; ALVES, FILIPE COUTO; CORREIA GRANATO, ITALO STEFANINE; FRITSCHE-NETO, ROBERTO. Multi-trait genomic prediction for nitrogen response indices in tropical maize hybrids. MOLECULAR BREEDING, v. 37, n. 6, JUN 2017. Web of Science Citations: 11. (13/24135-2, 15/14376-8, 14/26326-2)
(References retrieved automatically from State of São Paulo Research Institutions)
MENDONÇA, Leandro de Freitas. Acurácia da seleção simultânea para caracteres de interesse em milho tropical de segunda safra. Dissertação (Mestrado) - Escola Superior de Agricultura Luiz de Queiroz. Universidade de São Paulo (USP). Piracicaba. (14/23635-4)
LYRA, Danilo Hottis. Influência da modelagem multi-trait, dominância, e estruturação populacional na predição genômica em híbridos de milho. Tese (Doutorado) - Escola Superior de Agricultura Luiz de Queiroz. Universidade de São Paulo (USP). Piracicaba. (14/26326-2)