Advanced search
Start date
Betweenand

Genome-Wide Association Studies for nitrogen use efficiency and its components in tropical maize lines

Grant number: 13/24135-2
Support type:Regular Research Grants
Duration: October 01, 2014 - September 30, 2016
Field of knowledge:Agronomical Sciences - Agronomy - Crop Science
Principal Investigator:Roberto Fritsche Neto
Grantee:Roberto Fritsche Neto
Home Institution: Escola Superior de Agricultura Luiz de Queiroz (ESALQ). Universidade de São Paulo (USP). Piracicaba , SP, Brazil
Assoc. researchers:Ricardo Antunes de Azevedo

Abstract

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 the soil, especially nitrogen (N). Additionally, this second season is characterized by low investment by the farmers in fertilizer. Thus, it becomes important to develop cultivars with nitrogen use efficient use (NUE) and well suited to these culture conditions. In this sense, the identification of QTLs associated with NUE can help the selection process of superior genotypes for these conditions. Given the above, this project aims to identify QTLs associated with nitrogen use efficiency and its components in tropical maize inbred lines. For this, 64 inbred lines contrasting for NUE will be evaluated in low and high soil nitrogen availability, in three different growth stages and in two cultivation sites in the region of Piracicaba-SP. The 64 lines will be genotyped by the Illumina Maize Platform SNP50 DNA Analysis Kit, with approximately 56,000 SNP. The phenotyping will be made for NUE and its components, leaf chlorophyll content, photosynthetic rate, agronomic traits and length and morphology of roots. The data of phenotypic traits will be analyzed using the mixed model equations. The relationships between phenotypic characters will be made by path analysis. For the identification of QTLs the data of molecular markers with the phenotypic together will be analyzed by the method of Genome-wide Association Studies (GWAS). From the results to be obtained by this study, it is expected to find molecular markers in linkage disequilibrium with the characters that control the NUE, thereby aiding the development of maize cultivars adapted to growing conditions of this abiotic stress. (AU)

Scientific publications (9)
(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)
GALLI, GIOVANNI; ALVES, FILIPE COUTO; MOROSINI, JULIA SILVA; FRITSCHE-NETO, ROBERTO. On the usefulness of parental lines GWAS for predicting low heritability traits in tropical maize hybrids. PLoS One, v. 15, n. 2 FEB 7 2020. Web of Science Citations: 0.
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.
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.
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.
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.
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.
PINHO MORAIS, PEDRO PATRIC; BANDEIRA E SOUSA, MASSAINE; GALLI, GIOVANNI; BRAATZ E ANDRADE, LUCIANO ROGERIO; FRITSCHE-NETO, ROBERTO; DE OLIVEIRA, ALUIZIO BOREM. Yield components and reproductive, physiological, and root traits used in early selection for nitrogen use efficiency in corn. Pesquisa Agropecuária Brasileira, v. 53, n. 5, p. 620-632, MAY 2018. Web of Science Citations: 0.
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.
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.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.