Skip to Content 1
Ir para o menu 2
Ir para a busca 3

Portal Embrapa

Language Language

português English
Entrar

Search Publications

Sort by: date ▾ | alphabetically


Accessing the dry matter yield persistence in an alfalfa germplasm within Brazil through random regression models. Author(s): SANTOS, I. G.; PEIXOTO, M. A.; CRUZ, C. D.; FERREIRA, R. de P.; NASCIMENTO, M. Persistence plays a key role in alfalfa cultivation in tropical areas but is still a bottleneck for breeding programs. Repository: BDPA Publication year: 2021
Regularized quantile regression applied to genome-enabled prediction of quantitative traits. Author(s): NASCIMENTO, M.; SILVA, F. F. e; RESENDE, M. D. V. de; CRUZ, C. D.; NASCIMENTO, A. C. C.; VIANA, J. M. S.; AZEVEDO, C. F.; BARROSO, L. M. A. Genomic selection (GS) is a variant of marker-assisted selection, in which genetic markers covering the whole genome predict individual genetic merits for breeding. GS increases the accuracy of breedi... ... Repository: BDPA Publication year: 2017
Regularized quantile regression for SNP marker estimation of pig growth curves. Author(s): BARROSO, L. M. A.; NASCIMENTO, M.; NASCIMENTO, A. C. C.; SILVA, F. F.; SERÃO, N. V. L.; CRUZ, C. D.; RESENDE, M. D. V. de; SILVA, F. L.; AZEVEDO, C. F.; LOPES, P. S.; GUIMARÃES, S. E. F. Background: Genomic growth curves are generally defined only in terms of population mean; an alternative approach that has not yet been exploited in genomic analyses of growth curves is the Quantile R... ... Repository: BDPA Publication year: 2017
Genetic diversity among cotton cultivars in two environments in the State of Mato Grosso. Author(s): SANTOS, I. G.; TEODORO, P. E.; FARIAS, F. C.; FARIAS, F. J. C.; CARVALHO, L. P. de; RODRIGUES, J. I. S.; CRUZ, C. D. Using commercial cultivars to compose crossing blocks in cotton is a promising strategy, because these materials have desirable agronomic and technological characteristics. The objective of this study... ... Repository: BDPA Publication year: 2017
Factor analysis applied to genome prediction for high-dimensional phenotypes in pigs. Author(s): TEIXEIRA, F. R. F.; NASCIMENTO, M.; NASCIMENTO, A. C. C.; SILVA, F. F. e; CRUZ, C. D.; AZEVEDO, C. F.; PAIXÃO, D. M.; BARROSO, L. M. A.; VERARDO, L. L.; RESENDE, M. D. V. de; GUIMARÃES, S. E. F.; LOPES, P. S. The aim of the present study was to propose and evaluate the use of factor analysis (FA) in obtaining latent variables (factors) that represent a set of pig traits simultaneously, for use in genome-wi... ... Repository: BDPA Publication year: 2016
The effects of encoding data in diversity studies and the applicability of the weighting index approach for data analysis from different molecular markers. Author(s): FERRÃO, L. F. V.; CAIXETA, E. T.; CRUZ, C. D.; SOUZA, F. de F.; FERRAO, M. A. G.; ZAMBOLIM, Z.; SAKIYAMA, N. S. The use of molecular markers to study genetic diversity represents a breakthrough in this area, because of the increase in polymorphism levels and phenotypic neutrality. Codominant markers, such as mi... ... Repository: BDPA Publication year: 2014
Molecular characterization and genetic diversity of brazilian common bean cultivars and elite lines. Author(s): MOTA, A. P. S.; BATISTA, C. E. A.; RODDRIGUES, H. S.; CRUZ, C. D.; MELO, L. C.; PEREIRA, H. S.; SOUZA, T. L. P. O. The main goal of this work was to characterize and estimate the genetic diversity of "carioca" and black-seeded common bean cultivars and elite lines developed by the Brazilian Agricultural Research C... ... Repository: BDPA Publication year: 2014

Showing 7 results.

Observation

Some of Embrapa's publications are published as ePub files. To read them, use or download one of the following free software options to your computer or mobile device. Android: Google Play Books; IOS: iBooks; Windows and Linux: Calibre.

Access other publications

Access the Agricultural Research Database (BDPA) to consult Embrapa's full library collection and records.
Visit Embrapa Bookstore to purchase books and other publications sold by Embrapa.