Normal/independent distributions in genome wide prediction of complex traits

• Grant number: 13/25621-8
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• Start date: March 01, 2014
• End date: November 30, 2014
• Field of knowledge: Agronomical Sciences - Animal Husbandry - Genetics and Improvement of Domestic Animals
• Principal Investigator: Lucia Galvão de Albuquerque
• Grantee: Diogo Anastácio Garcia
• Host Institution: Faculdade de Ciências Agrárias e Veterinárias (FCAV). Universidade Estadual Paulista (UNESP). Campus de Jaboticabal. Jaboticabal , SP, Brazil
• Associated research grant: 09/16118-5 - Genomic tools to genetic improvement of direct economic important traits in Nelore cattle, AP.TEM

Abstract

The mean genetic gain in a population under selection can be summarized using the key equation of animal breeding. This equation indicates that the increasing in genetic potential is proportional to accuracy of selection, intensity of selection, and genetic variation, and inversely proportional to generation interval. An alternative to increase the genetic progress would be predict animals breeding values accurately early in life. For this propose, genetic markers can be used. Technology development of high-throughput genotyping and sequencing of human genome, livestock, and crop species allowed the identification of hundreds of thousands of genetic markers, such as single-nucleotide polymorphisms (SNP), which supported the application of high density panels in breeding values prediction. In genomic prediction, the priori densities can be classified taking account how much mass in the neighborhood of zero and how tick or flat the tails of priori densities are, so they might be grouped as following: a) Gaussian density; b) Tick tails; c) Spike-slab; d) Point of mass and slab. These densities groups are direct derivations or particularities of a density group known as normal/independent distributions. Therefore, the aim of this project is propose a hierarchical structure combining the parametric genomic models and the normal/independent distributions. Moreover, it is suggested the application of slash distribution as a priori density for marker effects in genomic prediction.

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)

CAVANI, L.; GARCIA, D. A.; CARRENO, L. O. D.; ONO, R. K.; PIRES, M. P.; FARAH, M. M.; VENTURA, H. T.; MILLEN, D. D.; FONSECA, R.. Estimates of genetic parameters for reproductive traits in Brahman cattle breed. JOURNAL OF ANIMAL SCIENCE, v. 93, n. 7, p. 3287-3291, JUL 2015. (13/25621-8)

SILVA, J. L.; GUIM, A.; CARVALHO, F. F. R.; MATTOS, C. W.; MENEZES, D. R.; COELHO, M. C. S. C.; GARCIA, D. A.; PEREIRA, I. G.; PEREIRA NETO, J. D.. Multivariate analysis of characteristics associated with performance of dairy goats fed integral mango meal. Small Ruminant Research, v. 133, p. 10-16, DEC 2015. (13/25621-8)

FERNANDES JUNIOR, GERARDO ALVES; GARCIA, DIOGO ANASTACIO; HORTOLANI, BRUNA; DE ALBUQUERQUE, LUCIA GALVAO. Phenotypic relationship of female sexual precocity with production and reproduction traits in beef cattle using multivariate statistical techniques. Italian Journal of Animal Science, v. 18, n. 1, p. 182-188, JAN 2 2019. (13/25621-8, 09/16118-5)