Title: Prediction of wood density breeding values of Pinus taeda elite parents from unbalanced data: A method for adjustment of site and age effects using common checklots
Abstract: • Wood density of elite parents of loblolly pine (Pinus taeda L.) was investigated in 6 to 18 year-old progeny trials. The sampling was carried out separately in seven testing regions in the southeastern US. A checklot was the only connection between elite parents planted at different trials in a testing region.
• We used a data normalization method suggested for unbalanced designs in cDNA microarray experiments to remove confounding site and age effects using the checklot as a reference sample. Wood density breeding values of parents were predicted by fitting a linear mixed model to the normalized data.
• Using the reference samples to remove site and age effects appears to be an effective method for analysis of unbalanced progeny tests data. In general, wood density (kg/m3) decreased from coastal to inland plantings and from the southern to the northern planting. Considerable genetic variation for wood density was detected among these fast-growing elite parents in six of seven testing regions, with half-sib family mean heritabilities ranging from 0.71 to 0.97 within a testing region. With the exception of two regions, checklots were stable across trials in a region, based on regressing the checklot means on trial means.