Výsledky vyhledávání - "Ricardo V, Ventura"

Akademický článek

The Use of Interactive Visualizations for Tracking Haplotypic Inheritance in Livestock

Autor: Alana Selli, Stephen P. Miller, Ricardo V. Ventura

Publikováno v: Ruminants, Vol 4, Iss 1, Pp 90-111 (2024)

Our objective was to harness the power of interactive visualizations by utilizing open-source tools to develop an efficient strategy for visualizing Single Nucleotide Polymorphism data within a livestock population, focusing on tracking the transmiss

Externí odkaz: https://doaj.org/article/c0eb3271462543e9817c6e7c57e17f03

Zobrazit plný text záznamu

Akademický článek

Imputation accuracy to whole-genome sequence in Nellore cattle

Autor: Gerardo A. Fernandes Júnior, Roberto Carvalheiro, Henrique N. de Oliveira, Mehdi Sargolzaei, Roy Costilla, Ricardo V. Ventura, Larissa F. S. Fonseca, Haroldo H. R. Neves, Ben J. Hayes, Lucia G. de Albuquerque

Publikováno v: Genetics Selection Evolution, Vol 53, Iss 1, Pp 1-10 (2021)

Abstract Background A cost-effective strategy to explore the complete DNA sequence in animals for genetic evaluation purposes is to sequence key ancestors of a population, followed by imputation mechanisms to infer marker genotypes that were not orig

Externí odkaz: https://doaj.org/article/ece910719da3492a84755124f9efcea7

Zobrazit plný text záznamu

Akademický článek

Fine mapping of genomic regions associated with female fertility in Nellore beef cattle based on sequence variants from segregating sires

Autor: Gerson A. Oliveira Júnior, Daniel J. A. Santos, Aline S. M. Cesar, Solomon A. Boison, Ricardo V. Ventura, Bruno C. Perez, José F. Garcia, José Bento S. Ferraz, Dorian J. Garrick

Publikováno v: Journal of Animal Science and Biotechnology, Vol 10, Iss 1, Pp 1-13 (2019)

Abstract Background Impaired fertility in cattle limits the efficiency of livestock production systems. Unraveling the genetic architecture of fertility traits would facilitate their improvement by selection. In this study, we characterized SNP chip

Externí odkaz: https://doaj.org/article/1114087f637f4f1094e64fbc8474fa90

Zobrazit plný text záznamu

Plný text ve formátu HTML

Akademický článek

Novel methods for genotype imputation to whole-genome sequence and a simple linear model to predict imputation accuracy

Autor: Steven G. Larmer, Mehdi Sargolzaei, Luiz F. Brito, Ricardo V. Ventura, Flávio S. Schenkel

Publikováno v: BMC Genetics, Vol 18, Iss 1, Pp 1-12 (2017)

Abstract Background Accurate imputation plays a major role in genomic studies of livestock industries, where the number of genotyped or sequenced animals is limited by costs. This study explored methods to create an ideal reference population for imp

Externí odkaz: https://doaj.org/article/e195df0d2c114b6bab65aa9df87b34c4

Zobrazit plný text záznamu

Akademický článek

Detection and Visualization of Heterozygosity-Rich Regions and Runs of Homozygosity in Worldwide Sheep Populations

Autor: Alana Selli, Ricardo V. Ventura, Pablo A. S. Fonseca, Marcos E. Buzanskas, Lucas T. Andrietta, Júlio C. C. Balieiro, Luiz F. Brito

Publikováno v: Animals, Vol 11, Iss 9, p 2696 (2021)

In this study, we chose 17 worldwide sheep populations of eight breeds, which were intensively selected for different purposes (meat, milk, or wool), or locally-adapted breeds, in order to identify and characterize factors impacting the detection of

Externí odkaz: https://doaj.org/article/fade067ed7114dd38885a3a46a21d285

Zobrazit plný text záznamu

Plný text ve formátu HTML

Exploratory lipidome and metabolome profiling contributes to understanding differences in high and normal ultimate pH beef

Autor: Daniel S, Antonelo, Priscila R, Dos Santos-Donado, Christina R, Ferreira, Luiz A, Colnago, Fernanda M M, Ocampos, Gabriel H, Ribeiro, Ricardo V, Ventura, David E, Gerrard, Eduardo F, Delgado, Carmen J, Contreras-Castillo, Julio C C, Balieiro

Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP

The aim of this work was to compare the lipidome and metabolome profiling in the Longissimus thoracis muscle early and late postmortem from high and normal ultimate pH (pHu) beef. Lipid profiling discriminated between high and normal pHu beef based o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3c081f13273db6e7b8deff9a10c436c
https://doi.org/10.1016/j.meatsci.2022.108978

Zobrazit plný text záznamu

PSX-A-8 Updating Pre-Existing Genetic Evaluations System to Evaluate High-Throughput Data in Purebred and Crossbred Beef Cattle

Autor: Kristin Lee, Jasper Munro, Ricardo V Ventura, Flavio S Schenkel, Gordon Vander Voort, Angela Cánovas4

Publikováno v: Journal of Animal Science. 100:282-282

High-throughput technologies are available to aid producers in efficiently and sustainably raising many animals, including automated sensory technologies for phenotype measurement and genomic data. However, uptake of genetic selection by the beef cat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::53a5500590636e29af5b433674cd473c
https://doi.org/10.1093/jas/skac247.513

Zobrazit plný text záznamu

Akademický článek

Genome-wide association for growth traits in Canchim beef cattle.

Autor: Marcos E Buzanskas, Daniela A Grossi, Ricardo V Ventura, Flávio S Schenkel, Mehdi Sargolzaei, Sarah L C Meirelles, Fabiana B Mokry, Roberto H Higa, Maurício A Mudadu, Marcos V G Barbosa da Silva, Simone C M Niciura, Roberto A A Torres, Maurício M Alencar, Luciana C A Regitano, Danísio P Munari

Publikováno v: PLoS ONE, Vol 9, Iss 4, p e94802 (2014)

Studies are being conducted on the applicability of genomic data to improve the accuracy of the selection process in livestock, and genome-wide association studies (GWAS) provide valuable information to enhance the understanding on the genetics of co

Externí odkaz: https://doaj.org/article/bc1cbde2dd224426b3aa2b7d50ef4cb4

Zobrazit plný text záznamu

BIG DATA ANALYTICS AND PRECISION ANIMAL AGRICULTURE SYMPOSIUM: Machine learning and data mining advance predictive big data analysis in precision animal agriculture

Autor: Gota, Morota, Ricardo V, Ventura, Fabyano F, Silva, Masanori, Koyama, Samodha C, Fernando

Publikováno v: Journal of Animal Science

Precision animal agriculture is poised to rise to prominence in the livestock enterprise in the domains of management, production, welfare, sustainability, health surveillance, and environmental footprint. Considerable progress has been made in the u

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::bd83e1b94fea84d268755c42d391217e
https://pubmed.ncbi.nlm.nih.gov/29385611

Zobrazit plný text záznamu

Genome-wide association for growth traits in Canchim beef cattle

Autor: R. H. Higa, Fabiana Barichello Mokry, S. C. M. Niciura, Mehdi Sargolzaei, Luciana Correia de Almeida Regitano, Marcos Eli Buzanskas, Flavio S Schenkel, Roberto Augusto de Almeida Torres Júnior, Danísio Prado Munari, D. A. Grossi, Maurício A. Mudadu, Sarah Laguna Conceição Meirelles, Ricardo Vieira Ventura, Marcos Vinícius Gualberto Barbosa da Silva, Maurício Mello de Alencar

Publikováno v: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice)
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
PLoS ONE, Vol 9, Iss 4, p e94802 (2014)
Web of Science
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
PLoS ONE

Made available in DSpace on 2014-12-03T13:08:50Z (GMT). No. of bitstreams: 0 Previous issue date: 2014-04-14Bitstream added on 2014-12-03T13:23:21Z : No. of bitstreams: 1 WOS000336970400107.pdf: 784251 bytes, checksum: 64e08e6e41d1cf9590f0c3af2df34a3

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e819499695c16114c910a3c1dafe202
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1003481

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání