. Seed zones and breeding zones for Sugar Pine in southwestern Oregon. Sugar pine Oregon; Plants Variation. Table 4—Genetic correlation coefficients; above diagonal for seed sources, below diagonal for families Trait HT 21 HT 25 HT210 HT 31 HT 32 HT 33 DIA 3 DR MN DR SD DRSD .595 Correlations between seed and growth traits at the source level were uniformly positive, and those at the family level were uniformly negative (table 4). Larger heights and diameters of seedlings were associated with faster rates of germination of seeds at the source level but
. Seed zones and breeding zones for Sugar Pine in southwestern Oregon. Sugar pine Oregon; Plants Variation. Table 4—Genetic correlation coefficients; above diagonal for seed sources, below diagonal for families Trait HT 21 HT 25 HT210 HT 31 HT 32 HT 33 DIA 3 DR MN DR SD DRSD .595 Correlations between seed and growth traits at the source level were uniformly positive, and those at the family level were uniformly negative (table 4). Larger heights and diameters of seedlings were associated with faster rates of germination of seeds at the source level but with slower rates at the family level. Consistently more variation was found among individual seeds within those lots with faster mean germination rates. This correlation was stronger at the source level than at the family level. To simplify interpretation of genetic variation patterns, the intercorrelated growth and seed traits were reduced to fewer dimensions by principal component analysis. The genetic correlation matrix at the source level was used as input. The correlation matrices at source and family level were different and the adaptational problems connected with seed transfer were probably more closely connected with source variation than with family variation. The first two principal components explained about 95 percent of the variation in all traits (table 5). The first component (eigenvalue ) explained six times as much of the variation as did the second component (eigenvalue ). Loadings indicated that factor scores of the first principal component (PC-1) were larger in families with a larger final stem diameter and in families that were taller at all measurement periods. Larger factor scores in the second principal component (PC-2) mainly reflected large mean germination rates of seed and larger variation in rates among seeds (table 5). But factor scores for PC-2 were also larger when seedlings were larger at some periods of the second growing seaso
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