Monthly Archive:: November 2016

29 Nov 2016

Improving prediction accuracy and selection of open-pollinated seed-lots in Eucalyptus dunnii Maiden using a multivariate mixed model approach

Multivariate mixed models can be used to combine complex data into a single-step analysis to improve prediction accuracy of open-pollinated seed lots for all attributes and candidates, and identify elite seed lots. Abstract Data available for genetic
29 Nov 2016

Hierarchical model-based inference for forest inventory utilizing three sources of information

The study presents novel model-based estimators for growing stock volume and its uncertainty estimation, combining a sparse sample of field plots, a sample of laser data, and wall-to-wall Landsat data. On the basis of our detailed simulation,