Tree improvement in Poland has been most advanced for Scots pine, but existing seed orchards have not been progeny-tested yet. We examined variation in growth traits-tree height at ages 4 and 8 years, and diameter at age 13 years-in the common garden experiment testing open-pollinated progenies of 31 seed orchards and 5 commercial seed stands (referred to as populations) at 5 locations. We also examined bud burst phenology at two to five sites at three growing seasons. At one experimental site during the 5th growing season, we measured shoot growth rhythm on all populations. Similar measurements of shoot growth were done on a subset of populations during the 6th growing season together with the analysis of needle growth and foliar chemistry. We found significant variation among populations in growth traits, but also significant population 9 site (G 9 E) interactions. We used the regression approach and ecovalence analysis to examine populations' performance stability. Most populations had average responsiveness to environment, and a set of least-responsive poor-growing populations contributed the most to the G 9 E interaction. Variation in bud burst phenology was associated with geographical distribution of tested progenies. The early bud-bursting populations originated from the north-eastern to north-central Poland, and a group of late bud-bursting populations originated mainly from the south-eastern region. Correlations between bud burst and growth traits were weak to medium and varied by site, but early bud-bursting populations tended to show stronger growth on height and diameter. We found significant differences among populations in final leader length, shoot elongation time and relative growth rate (RGR). However, RGR and shoot elongation time explained less than 30% of variation in leader length and were weakly correlated with tree height. Populations varied in needle length, specific leaf area and foliar nitrogen concentration, but time trends in these traits did not vary among populations or predefined groups of populations. Therefore, the analysis of growth rhythm or needle traits did not help resolve variation in tree growth to support selection decisions. Contrary to our expectation, progeny of seed orchards did not perform significantly better than that of commercial seed stands. This finding, however, should not be extrapolated beyond our set of populations. Nonetheless, the local seed sources were not always the best. From a selection standpoint, our results help culling the worst populations rather than selecting the best ones. Therefore, testing individual family progeny and genetic roguing of existing seed orchards is highly recommended.

The dormancy and the growth of trees in temperate climates are synchronized with seasons. Preparation for dormancy and its proper progression are key for survival and development in the next season. Using a unique approach that combined microscopy and proteomic methods, we investigated changes in Norway spruce (Picea abies (L.) H. Karst.) embryonic shoots during four distinct stages of dormancy in natural weather conditions. We identified 13 proteins that varied among dormancy stages, and were linked to regulation of protein level; functioning of chloroplasts and other plastids; DNA and RNA regulation; and oxidative stress. We also found a group of five proteins, related to cold hardiness, that did not differ in expression among stages of dormancy, but had the highest abundancy level. Ultrastructure of organelles is tightly linked to their metabolic activity, and hence may indicate dormancy status. The observed ultrastructure during endodormancy was stable, whereas during ecodormancy, the structural changes were dynamic and related mainly to nucleus, plastids and mitochondria. At the ultrastructural level, the lack of starch and the presence of callose in plasmodesmata in all regions of embryonic shoot were indicators of full endodormancy. At the initiation of ecodormancy, we noted an increase in metabolic activity of organelles, tissue-specific starch hyperaccumulation and degradation. However, in proteomic analysis, we did not find variation in expression of proteins related to starch degradation or to symplastic isolation of cells. The combination of ultrastructural and proteomic methods gave a more complete picture of vegetative bud dormancy than either of them applied separately. We found some changes at the structural level, but not their analogues in the proteome. Our study suggests a very important role of plastids' organization and metabolism, and their protection in the course of dormancy and during the shift from endo- to ecodormancy and the acquisition of growth competence.

In multisite forest genetic experiments, the presence of genotype × environment interaction (GEI) is common. GEI may negatively affect the estimates of genetic variance and hamper selection decisions in tree breeding programs. Several measures exist to evaluate the stability of tested genotypes’ performance across environments with a choice of the method likely affecting breeders’ decisions. In this study, we evaluated variation in diameter and height growth performance in the progeny test established at 4 sites with 80 open-pollinated half-sib families of Scots pine. We found significant variation among examined progeny at age 10, reaching up to 31% for diameter and 20% for height depending on site, and significant GEI in both traits. We estimated contribution of each family to GEI using various methods and tools of GEI analysis—AMMI, GGE biplots, heterogeneity of regression coefficients (bi’s), the deviation mean squares from regression (s2di) and Kang’s yield-stability index (YSi). Despite the presence of the cross-over interaction, family ranks did not vary much among sites. The selections based on the phenotype, YSi and restricted bi corresponded well to each other leading to the expected response to selection up to 7.8% on diameter and 4.4% on height, whereas those based on the AMMI stability variance were different and lead to a slight loss in both traits. We discuss our results in the context of the usefulness of those measures of genotype stability for tree breeding programs and propose the procedure to follow for making selection decisions in forest experiments with GEI.