2 edition of Interactions between genotype, site and silvicultural treatment found in the catalog.
Interactions between genotype, site and silvicultural treatment
E. K. Morgenstern
by Petawawa National Forestry Institute, Canadian Forestry Service, Dept. of the Environment in Chalk River, Ont
Written in English
|Series||Information report -- PI-X-14, Information report PI-X -- 14.|
|Contributions||Petawawa National Forestry Institute., Canadian Forestry Service., Canada. Environment Canada.|
|The Physical Object|
|Pagination||i, 18 p.|
|Number of Pages||18|
The four main treatments, each tested at a superior and inferior level, were species selection, genetic improvement, silvicultural intensity and level of site capture (planting density). The aim of this study was to investigate the effects of and interactions between the four treatments on fibre production over a rotation across a range of sites. We assessed the interaction effects of the genotypes with the silvicultural treatments and site conditions. Preliminary results indicate that the relation between growth and leaf-level physiology is not clear. There were interaction effects among site by silvicultural treatments and site by genotype. At the Piedmont site, the OP family had the.
Phenotype (from Greek pheno-, meaning 'showing', and type, meaning 'type') is the term used in genetics for the composite observable characteristics or traits of an organism. The term covers the organism's morphology or physical form and structure, its developmental processes, its biochemical and physiological properties, its behavior, and the products of behavior. Tree taper Defined as the change in stem dia between two measurement points divided by the length of the stem between these two points Taper equations attempt to describe it as a function of tree variables such as dbh, height, etc. •Tree form •Tree form theories •Form ratios •Taper equation•Taper equation
Although there is evidence of some genotype by site interaction, there is controversy about the responses of different genotypes to silvicultural systems. There is a need to understand how these interactions affect forest productivity, in order to improve the site-specific prescriptions. The regulation of gene expression is central to many biological processes. Gene regulatory networks (GRNs) link transcription factors (TFs) to their target genes and represent maps of potential transcriptional regulation. Here, we analyzed a large number of publically available maize (Zea mays) transcriptome data sets including > RNA sequencing samples to generate 45 coexpression .
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Genotype × silvicultural treatment interactions were positive, with the best overall performing families responding the greatest to intensive treatment. There were changes in slash pine family rankings between locations, which were partly explained by reductions in growth associated with a combination of fusiform rust infection [ Cronartium Cited by: Considerable differences between treatments were observed between silvicultural intensities (ranging from to km 2 s −2) and genotypes (ranging from to km 2 s −2).
However, because there was a significant genotype × silviculture interaction (p = ), it was necessary to examine these effects in by: The complex interactions found in this study suggest that growth responses among loblolly pine genotypes may vary over time, and differ between sites and silvicultural treatments.
Overall, the varieties did not differ in the stem growth response to the silvicultural treatment and planting density, as was by: 8.
Favourable interactions between genotype, site and silviculture are desired for growing radiata pine, site and silviculture being two components of environment.
Our challenge is to characterise the interactions so as to exploit them to advantage. Four classes of interaction are involved: three first-order interactions between pairs of factors; and one second-order interaction involving all Cited by: 8.
Gene–environment interaction (or genotype–environment interaction or GxE or G×E) is when two different genotypes respond to environmental variation in different ways. A norm of reaction is a graph that shows the relationship between genes and environmental factors when phenotypic differences are continuous.
They can help illustrate GxE interactions. When the norm of reaction is not. Zhu L, Brüggemann R, Uy J, Colbers A, Hruska M, Chung E, et al. CYP2C19 Genotype-Dependent Pharmacokinetic Drug Interaction Between Voriconazole and Ritonavir-Boosted Atazanavir in.
Clones can thus provide a sensitive means of detecting genotype–environment interactions and evaluating genotypic stability (Bentzer et al., ). However, despite the increase in aspen clonal forestry, little is known about basic genetics such as clonal genetic variation, repeatabilities, inter-trait and inter-site correlations and G×E.
Background Favourable interactions between genotype, site and silviculture are desired for growing radiata pine, site and silviculture being two components of environment. Silvicultural systems. The origin of forestry in German-speaking Europe has defined silvicultural systems broadly as high forest (Hochwald), coppice with standards (Mittelwald) and compound coppice, short rotation coppice, and coppice (Niederwald).There are other systems as well.
These varied silvicultural systems include several harvesting methods, which are often wrongly said to be a. No significant interaction (p>) was found between clone and stocking level. Tree diameter exhibited a significant (p. However, crown characteristics varied between the varieties due to site, silvicultural treatment, and planting density effects.
Varieties responded differently in crown width and HTLC, and this. Sofosbuvir Drug-Drug Interactions with HIV Medications. Tipranavir (TPV) is a PI that is indicated for treatment of resistant HIV genotype-1 infected patients in combination with other antiretroviral agents .TPV is a P-gp inhibitor and therefore may increase the plasma concentration of SOF, a P-gp substrate.
difference in level between the two lines would indicate a main effect of gender; a difference in level for both lines between treatment and control would indicate a main effect of treatment. When ordinal interactions are significant, it is necessary to follow up the omnibus F-test with one of the focused comparison procedures described below.
Abstract. Silvicultural treatments and the development of site-adapted genotypes can aid in the management of drought-stress in forest species. Both pre- and post-planting silvicultural treatments of the seedling and site have proven effective in enhancing survival.
Replication sample. To examine the interaction between the MTHFR genotype and TCEs on depressive symptoms, the total BDI score was regressed on TCEs, MTHFR genotype, their interaction and covariates using the following model: BDI= β 0 +(β 1 *covariate)+(β 2 * rs)+(β 3 *TCEs)+(β 4 * rs*TCEs).
As covariates we included cannabis. We examined genotype (family) by environmental interactions (G × E) through age 5 years using a factorial experiment consisting of silvicultural treatment intensity (operational versus intensive. Signiﬁcant interactions between silvicultural treatment and site Analysis.
Soil Sci. Soc. Am Book Series No. the potential impacts of introducing a novel genotype on ecological. Few studies have quantified the combined effects of silvicultural treatments and genetic improvement on unit area production of full-sib family blocks of loblolly and slash pine.
We examined genotype (family) by environmental interactions (G × E) through age five years using a factorial experiment consisting of silvicultural treatment intensity, planting density and full-sib families Five.
There was no significant interaction between stress and DRD4 on the CGI-P (F 2, =, p), but a significant effect of genotype (F 2, =, pgenotype displayed more severe symptoms than those with the 4/7 genotype.
There is a known interaction between vitamin D and the epigenome, but the interaction with breast cancer remains unclear. Although there is some evidence to suggest there is an interaction between vitamin D levels and modification of the epigenome that might have an impact on the development of breast cancer [ ], further work needs to be.
Mean survival at years for all treatments combined within the trial was 92% with no significant differences observed for any of the factors or their interactions. Small, but significant differences were detected for early Dbh growth (up to years) for the main effects of .Treatments may include bedding, burning, chemical spraying, chopping, disking, drainage, raking, and scarifying.
All treatments are designed to modify the soil, litter, and vegetation and to create microclimate conditions conducive to the establishment and growth of desired species. Site Quality (Productivity). Autism spectrum disorder: interaction of air pollution with the MET receptor tyrosine kinase gene.
Epidemiology 25(1) [Abstract Volk HE, Kerin T, Lurmann F, Hertz-Picciotto I, McConnell R, Campbell DB. Autism spectrum disorder: interaction of air pollution with the MET receptor tyrosine kinase gene. Epidemiology 25(1)].