In developing countries, tree seedlings are often produced in polybags filled with mixtures of locally available materials. Seedling growth and quality can be affected by the type and amount of these substrates used in the mixture. Differences in seedling growth and quality can also be significantly affected when fertilization is employed during the nursery growing period. In this study, we assessed the effects of five different growing media and two fertilization regimes on nursery growth, seedling morphology and early post-planting response to drought of Eucalyptus benthamii (Maiden & Cambage) seedlings. First, we evaluated the effects of each media by fertilizer treatment combination on morphological attributes during a nursery growing period. Seedlings raised in fertilized media without rice hulls yielded higher growth, root dry mass, shoot dry mass, total dry mass, Dickson quality index (DQI) scores, and number of first order lateral roots (FOLRs). Root to shoot ratio (R:S ratio) was, however, greater in non-fertilized media that contained rice hulls. We then conducted a simulated outplanting and drought hardiness experiment, in which seedlings were planted in 13.2 L containers and irrigated for one month, followed by the imposition of drought stress. Seedlings in fertilized media composed of sand, topsoil and compost showed greater growth than those in rice hull-containing media, during the irrigation phase. With the discontinuation of irrigation and prevention of precipitation reaching the seedlings, seedlings grown in non-fertilized media containing rice hulls survived longer than those in other media. There were no large differences in survival among other media or between fertilized and other non-fertilized seedlings. Seedling total size and shoot height at the time of planting played a major role in survival. Smaller seedlings with smaller shoot sizes and greater R:S ratios survived longer. This study demonstrates that growing media and fertilization can be manipulated to affect seedling morphology in the nursery and, ultimately, seedling performance and survival under water stressed conditions.

The correspondence between breeding values of 65 loblolly pine (Pinus taeda L.) genotypes from clonal genetic tests and half-sib seedling progeny tests was studied in the southern United States. The two experiments were established separately, 10 years apart. Additive genetic variance estimates from clonal tests were larger compared with the estimates from the half-sib progeny tests, regardless of the covariance structure used in the statistical models and the traits. However, clone-mean and half-sib family-mean heritability estimates were comparable for all traits, ranging between 0.88 and 0.99. Based on the independent analysis, the correlation between the breeding values of the same genotypes from two propagule types was moderate (0.59) for tree height and stem volume. The combined analysis resulted in a strong genetic correlation (>0.93) between the breeding values of two propagule types. Herein the large discrepancy is mainly the outcome of different data analytical approaches. Conclusively, selecting genotypes for deployment based on clonal testing may not be optimal, but forest tree breeders can use the results from clonal tests to make some informed decisions. Study Implications: Selection of next-generation parents in loblolly pine breeding could be enhanced by clonal testing for growth traits; however, the results indicated that the ranking of genotypes from clonal testing and seedling progeny testing is far from perfect (rank correlation, r = 0.60). This outcome could be partially an artifact of the data and the experimental design as two propagule types were not tested in the same environment. For fusiform rust, clonal testing would not be informative because of the low incidence observed in the clonal tests. Breeders may still benefit from using clonal data by culling the lower-ranking genotypes and deploying a larger number of higher-ranking clones in their seed orchards to account for uncertainty. Once more data become available for the genotypes, they can rogue the seed orchards to increase the genetic gain. In the near future, DNA markers will likely play an important role for within-family selection in forest trees. If proved successful, breeders may forgo cloned genetic tests for conifers. Genomic selection studies are underway at major breeding centers.

Summary: The Government of the Islamic Republic of Afghanistan (GIRoA), in power during 2002–2021, initiated the process of instituting community-based forest governance and building local capacity for natural resource management. These efforts coincided with the presence of international security forces and the mobilization of civil society organizations, and they were in response to community aspirations to protect and restore often degraded local forests. Legislation was passed to enable forest protection and management, including a provision to encourage participatory management by local community user groups organized as Forest Management Associations (FMAs). By the end of the GIRoA era, c. 20 registered FMAs were operating with c. 400 others in various stages of development across Afghanistan. Our analysis of relevant policy documents revealed that the policy framework developed during the GIRoA era scores favourably on the ideal criteria for community-based resource management. Despite the change in political administration with the inception of the current Islamic Emirate of Afghanistan regime, the influence of the GIRoA era serves as a starting point and may have enduring influences on rural communities in Afghanistan and the natural resources that support them. Anecdotal evidence suggests that community-based forest management may persist under the current national leadership despite international isolation and funding constraints. The model developed in Afghanistan may be relevant to other fragile states, especially in contexts where rural forest-dependent communities have strong local institutions, such asshuras, and where forests are not prone to heavy extraction pressure.

In this study, 723 Pinus taeda L. (loblolly pine) clonal varieties genotyped with 16920 SNP markers were used to evaluate genomic selection for fusiform rust disease caused by the fungus Cronartium quercuum f. sp. fusiforme. The 723 clonal varieties were from five full-sib families. They were a subset of a larger population (1831 clonal varieties), field-tested across 26 locations in the southeast US. Ridge regression, Bayes B, and Bayes Cπ models were implemented to study marker-trait associations and estimate predictive ability for selection. A cross-validation scenario based on a random sampling of 80% of the clonal varieties for the model building had higher (0.71–0.76) prediction accuracies of genomic estimated breeding values compared with family and within-family cross-validation scenarios. Random sampling within families for model training to predict genomic estimated breeding values of the remaining progenies within each family produced accuracies between 0.38 and 0.66. Using four families out of five for model training was not successful. The results showed the importance of genetic relatedness between the training and validation sets. Bayesian whole-genome regression models detected three QTL with large effects on the disease outcome, explaining 54% of the genetic variation in the trait. The significance of QTL was validated with GWAS while accounting for the population structure and polygenic effect. The odds of disease incidence for heterozygous AB genotypes were 10.7 and 12.1 times greater than the homozygous AA genotypes for SNP11965 and SNP6347 loci, respectively. Genomic selection for fusiform rust disease incidence could be effective in P. taeda breeding. Markers with large effects could be fit as fixed covariates to increase the prediction accuracies, provided that their effects are validated further.