Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Martin Arbelbide"'
Autor:
Martin Arbelbide, Rex Bernardo
Publikováno v:
Crop Science. 44:401-404
In maize (Zea mays L.) inbred development programs, F 2 and BC 1 populations between two inbreds are usually not random-mated before selfing. Previous results suggest random mating is not useful in F 2 populations. A one-locus model, however, suggest
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5748b5e5b8620a9f9bfcb40ef75ae6f6
https://doi.org/10.2135/cropsci2004.4010
https://doi.org/10.2135/cropsci2004.4010
Autor:
Andy Baumgarten, Martin P. Boer, Mark E. Cooper, L. Radu Totir, Christopher R. Winkler, Deanne Wright, Matthew David Smalley, Keith Boldman, Dean Podlich, Fred A. van Eeuwijk, Martin Arbelbide, Cajo J. F. ter Braak, Marco C. A. M. Bink
Publikováno v:
Theoretical and Applied Genetics, 120(2), 429-440
Theoretical and Applied Genetics 120 (2010) 2
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik
Theoretical and Applied Genetics 120 (2010) 2
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik
Two outlines for mixed model based approaches to quantitative trait locus (QTL) mapping in existing maize hybrid selection programs are presented: a restricted maximum likelihood (REML) and a Bayesian Markov Chain Monte Carlo (MCMC) approach. The met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d43156c483bcaba34f642eff94455446