Open AccessResearch Article Genetic parameters prediction (REML/BLUP) for morphological, physical-chemical, phytochemical, and mineral components of primocane-fruiting raspberries
Author(s) -
Priscila Monalisa Marchi,
I.R. Carvalho,
Daniela Höhn,
Bruno Carra,
Vinícius Jardel Szareski,
Maximiliano Dini,
M. Vizzotto,
L. E. C. Antunes
Publication year - 2019
Publication title -
genetics and molecular research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.356
H-Index - 48
ISSN - 1676-5680
DOI - 10.4238/gmr18254
Subject(s) - phytochemical , best linear unbiased prediction , restricted maximum likelihood , biology , maximum likelihood , botany , statistics , mathematics , computer science , machine learning , selection (genetic algorithm)
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