Partitioning of multivariate phenotypes using regression trees reveals complex patterns of adaptation to climate across the range of black cottonwood (Populus trichocarpa)

MLA

Oubida, Regis Wendpouire. Partitioning of Multivariate Phenotypes Using Regression Trees Reveals Complex Patterns of Adaptation to Climate across the Range of Black Cottonwood (Populus Trichocarpa). Mar. 2014. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.od......2485..8102a4c626d56124001fef4c7a5322e0&authtype=sso&custid=ns315887.

APA

Oubida, R. W. (2014). Partitioning of multivariate phenotypes using regression trees reveals complex patterns of adaptation to climate across the range of black cottonwood (Populus trichocarpa).

Chicago

Oubida, Regis Wendpouire. 2014. “Partitioning of Multivariate Phenotypes Using Regression Trees Reveals Complex Patterns of Adaptation to Climate across the Range of Black Cottonwood (Populus Trichocarpa),” March. http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.od......2485..8102a4c626d56124001fef4c7a5322e0&authtype=sso&custid=ns315887.