Accuracy of non-additive models of genomic selection for nitrogen use efficiency in tropical maize hybrids

• Grant number: 14/26326-2
• Support Opportunities: Scholarships in Brazil - Doctorate
• Start date: June 01, 2015
• End date: December 09, 2017
• Field of knowledge: Agronomical Sciences - Agronomy - Crop Science
• Agreement: Coordination of Improvement of Higher Education Personnel (CAPES)
• Principal Investigator: Roberto Fritsche Neto
• Grantee: Danilo Hottis Lyra
• Host Institution: Escola Superior de Agricultura Luiz de Queiroz (ESALQ). Universidade de São Paulo (USP). Piracicaba , SP, Brazil
• Associated scholarship(s): 15/14376-8 - Accuracy of non-additive models and population structure of genomic selection in maize, BE.EP.DR

Abstract

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 efficiency (EUN) in hybrids of tropical maize. The population of estimation will be composed of 1176 hybrids obtained by complete diallel consisting of 49 lines with genetic variability for EUN. The genotyping of these lines will be performed using approximately 660.000 SNPs markers. The phenotypic data will be obtained from two experiments performed in the field at two sites, considering high and low availability of N in the soil. These essays will be evaluated all hybrids obtained and five witnesses by the augmented blocks design. In possession of phenotypic and genotypic data, will be performed the evaluation of the models additive, additive-dominant and additive-dominant-epistatic of GWS. The comparison of the models used will be accomplished through the accuracy and predictive ability. (AU)

Scientific publications

(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)

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. (13/24135-2, 14/26326-2, 15/14376-8)

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. (13/24135-2, 14/26326-2, 15/14376-8)

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. (13/24135-2, 14/26326-2, 15/14376-8)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

LYRA, Danilo Hottis. Influence of multi-trait modeling, dominance, and population structure in genomic prediction of maize hybrids. 2017. Doctoral Thesis - Universidade de São Paulo (USP). Escola Superior de Agricultura Luiz de Queiroz (ESALA/BC) Piracicaba.