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Modeling Height Development of Loblolly Pine Genetic Varieties
Author(s) -
Charles O. Sabatia,
Harold E. Burkhart
Publication year - 2013
Publication title -
forest science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.447
H-Index - 77
eISSN - 1938-3738
pISSN - 0015-749X
DOI - 10.5849/forsci.11-103
Subject(s) - akaike information criterion , mathematics , loblolly pine , statistics , calibration , genetic model , genetic gain , selection (genetic algorithm) , restricted maximum likelihood , tree (set theory) , mixed model , genetic variation , biology , estimation theory , botany , pinus <genus> , genetics , mathematical analysis , artificial intelligence , gene , computer science

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