scholarly journals Microsite Influences on Variability in Douglas-Fir Seedling Development

2007 ◽  
Vol 22 (3) ◽  
pp. 156-162 ◽  
Author(s):  
Owen Burney ◽  
Michael G. Wing ◽  
Robin Rose
Keyword(s):  
Seedling Growth ◽  
Information Criterion ◽  
Seedling Development ◽  
Douglas Fir ◽  
Washington State ◽  
Diameter Growth ◽  
Strongly Correlated ◽  
Growth Change ◽  
Soil Impedance ◽  
Over Time

Abstract We examined the microsite characteristics of 6,048 Douglas-fir seedlings at three regeneration sites in Washington state. Our objective was to determine the microsite characteristics that were most influential on seedling growth change over time. We analyzed microsite influences both individually and in concert with one another through regression-based techniques. Microsite parameters included soil impedance, topographic, and physical parameter measurements that were recorded at each seedling's location. Akaike's information criterion (AIC) was used to determine combinations of microsite parameters that were most strongly correlated with seedling growth. Multiparameter models explained between 15 and 39 percent of the variance in diameter growth. Prevalent terms from the strongest multiparameter models included soil penetration, log presence, stump presence, skid road presence, and topography. Individual microsite parameters for each regeneration site were also assessed for importance in explaining diameter growth using two additional methods. The first approach was to isolate the parameters that appeared in the strongest multiparameter models and to sum and contrast the AIC weights of all models in which they appeared. The second approach was to regress single parameters against seedling diameter growth. Results varied by site for both methods. AIC weight sums revealed that topographical depression and berms, the presences of logs and stumps, and soil penetration (pounds per square inch) as measured by a penetrometer were most influential, with values ranging from 0.31 (berm) to 0.82 (log). Regression analysis revealed that topographical depression, log presence, and soil penetration were significantly related to diameter growth, explaining between 6 and 29 percent of the variance in diameter growth. Combined results from the three regeneration sites suggest that preferred planting locations are near berms, in the transition zone associated with skid roads, and in soil that is neither too loose nor too compacted. Results from the Randle and Orting sites indicate that planting in topographical depressions should be avoided. Results from Orting indicate that seedlings should not be placed near logs, and Randle findings suggest not planting next to stumps.

Interaction of Cottonwood Clones with Site and Planting Year

1973 ◽  
Vol 3 (3) ◽  
pp. 329-332 ◽  
Author(s):  
C. A. Mohn ◽  
W. K. Randall
Keyword(s):  
First Year ◽  
Diameter Growth ◽  
Mississippi Valley ◽  
Lower Mississippi Valley ◽  
Large Clone ◽  
Over Time

Height and diameter growth to age three and the number of first year branches were analyzed for 25 cottonwood clones grown in six plantations in central Mississippi. Plantations were on two contrasting sites and planted in three consecutive years. Results showed small clone × planting year interactions and large clone × site interactions for all parameters. In the lower Mississippi Valley, therefore, emphasis should be placed on testing over a range of sites rather than replicating over time.

scholarly journals Pengaruh Pemberian Sub Soil dan Arang Tempurung Kelapa Terhadap Pertumbuhan Semai Akasia (Acacia mangium. Willd) Pada Media Bekas Tambang Pasir

2019 ◽  
Vol 10 (3) ◽  
pp. 166-172
Author(s):  
Basuki Wasis ◽  
Lastiti Sanubari
Keyword(s):  
Key Words ◽  
Seedling Growth ◽  
Acacia Mangium ◽  
Dry Weight ◽  
Coconut Shell ◽  
Diameter Growth ◽  
Sand Mining ◽  
Significant Treatment ◽  
Long Period ◽  
Coconut Charcoal

Sand mining which continuously done may cause the sand of amount in the bottom of river decreasing and may result, to the destruction of the river if occured for a long period. Revegetation activity must be done on some former sand mining river boundaries. Acacia (Acacia mangium) might be able to grow in low nutrient soil. The purposes of this research is to get information about sub soil and coconut charcoal granting effects towards acacia seedling growth on former sand mining medium.The research showed that the interaction of the added sub soil and coconut shell charcoal is significant to the heightand diameter parameter of acacia seedling while sub soil addition is significant to Dry Weight Total (DWK) parameter. Interaction of 250 g sub soil, 60 g charcoal on 750 g sand is the best treatment to enhance seedling tall growth for about 88.73%. Interaction of 750 g sub soil on 250 g sand is the most significant treatment for diameter parameter for about 71.21% diameter growth. The best treatment for Dry Weight Total (DWK) is shown by interaction of 250 g sub soil and 250 g charcoal on 500 g sand. Charcoal granting independently is not significant to addition acacia seedling growth. The addition of sub soil only showed the best result of 750 g sub soil granting with diameter growth around 71.21%. Key words: Acacia mangium. Willd., charcoal, sand mining, sub soil

scholarly journals The correlation strength of the most important cryptocurrencies in the bull and bear market

2020 ◽  
Vol 17 (3) ◽  
pp. 67-81
Author(s):  
Sebastian Lahajnar ◽  
Alenka Rožanec
Keyword(s):  
Correlation Coefficient ◽  
Strong Correlation ◽  
Pearson Correlation ◽  
Pearson Correlation Coefficient ◽  
Strongly Correlated ◽  
Moderate Correlation ◽  
Bear Market ◽  
Research Findings ◽  
Correlation Strength ◽  
Over Time

The article explores the correlation strength of the ten most important cryptocurrencies, emphasizing the examination of differences during the periods of rising and falling prices. The daily and weekly returns of selected cryptocurrencies are taken as the basis for calculating and determining the correlation strength using the Pearson correlation coefficient. The survey covers the period from the beginning of 2017 to Bitcoin’s last local bottom in mid-March 2020. Research findings are as follows: 1) the most important cryptocurrencies are mostly moderately positively correlated with each other over time; 2) correlation strength decreases slightly during the bull period, but mostly remain in the range of moderate correlation; 3) correlation strength increases significantly during the bear period, with most cryptocurrencies strongly correlated with each other. The results do not change significantly if the daily or weekly cryptocurrency returns are used as the basis. A strong correlation in the period of falling prices prevents the effective diversification of the cryptocurrency portfolio, which must be considered when investing funds in the cryptocurrency market.

scholarly journals Random regression for modeling yield genetic trajectories in Jatropha curcas breeding

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0244021
Author(s):  
Marco Antônio Peixoto ◽  
Rodrigo Silva Alves ◽  
Igor Ferreira Coelho ◽  
Jeniffer Santana Pinto Coelho Evangelista ◽  
Marcos Deon Vilela de Resende ◽  
...  
Keyword(s):  
Jatropha Curcas ◽  
Repeated Measures ◽  
Variance Components ◽  
High Reliability ◽  
Genetic Selection ◽  
Information Criterion ◽  
Random Regression ◽  
Ratio Test ◽  
Sib Families ◽  
Over Time

Random regression models (RRM) are a powerful tool to evaluate genotypic plasticity over time. However, to date, RRM remains unexplored for the analysis of repeated measures in Jatropha curcas breeding. Thus, the present work aimed to apply the random regression technique and study its possibilities for the analysis of repeated measures in Jatropha curcas breeding. To this end, the grain yield (GY) trait of 730 individuals of 73 half-sib families was evaluated over six years. Variance components were estimated by restricted maximum likelihood, genetic values were predicted by best linear unbiased prediction and RRM were fitted through Legendre polynomials. The best RRM was selected by Bayesian information criterion. According to the likelihood ratio test, there was genetic variability among the Jatropha curcas progenies; also, the plot and permanent environmental effects were statistically significant. The variance components and heritability estimates increased over time. Non-uniform trajectories were estimated for each progeny throughout the measures, and the area under the trajectories distinguished the progenies with higher performance. High accuracies were found for GY in all harvests, which indicates the high reliability of the results. Moderate to strong genetic correlation was observed across pairs of harvests. The genetic trajectories indicated the existence of genotype × measurement interaction, once the trajectories crossed, which implies a different ranking in each year. Our results suggest that RRM can be efficiently applied for genetic selection in Jatropha curcas breeding programs.

scholarly journals Saliva viral load is a dynamic unifying correlate of COVID-19 severity and mortality

2021 ◽  
Author(s):  
Julio Silva ◽  
Carolina Lucas ◽  
Maria Sundaram ◽  
Benjamin Israelow ◽  
Patrick Wong ◽  
...  
Keyword(s):  
Viral Load ◽  
Disease Severity ◽  
T Cell Subsets ◽  
Temporal Association ◽  
Strongly Correlated ◽  
Immunological Parameters ◽  
Viral Loads ◽  
Patient Demographics ◽  
Over Time

While several clinical and immunological parameters correlate with disease severity and mortality in SARS-CoV-2 infection, work remains in identifying unifying correlates of coronavirus disease 2019 (COVID-19) that can be used to guide clinical practice. Here, we examine saliva and nasopharyngeal (NP) viral load over time and correlate them with patient demographics, and cellular and immune profiling. We found that saliva viral load was significantly higher in those with COVID-19 risk factors; that it correlated with increasing levels of disease severity and showed a superior ability over nasopharyngeal viral load as a predictor of mortality over time (AUC=0.90). A comprehensive analysis of immune factors and cell subsets revealed strong predictors of high and low saliva viral load, which were associated with increased disease severity or better overall outcomes, respectively. Saliva viral load was positively associated with many known COVID-19 inflammatory markers such as IL-6, IL-18, IL-10, and CXCL10, as well as type 1 immune response cytokines. Higher saliva viral loads strongly correlated with the progressive depletion of platelets, lymphocytes, and effector T cell subsets including circulating follicular CD4 T cells (cTfh). Anti-spike (S) and anti-receptor binding domain (RBD) IgG levels were negatively correlated with saliva viral load showing a strong temporal association that could help distinguish severity and mortality in COVID-19. Finally, patients with fatal COVID-19 exhibited higher viral loads, which correlated with the depletion of cTfh cells, and lower production of anti-RBD and anti-S IgG levels. Together these results demonstrated that viral load – as measured by saliva but not nasopharyngeal — is a dynamic unifying correlate of disease presentation, severity, and mortality over time.

BIOM-43. CROSS-PLATFORM ROBUSTNESS IN THE GLUCOCORTICOID RESPONSE PHARMACODYNAMIC BIOMARKER

2021 ◽  
Vol 23 (Supplement_6) ◽  
pp. vi20-vi20
Author(s):  
Emily Tang ◽  
John Wiencke ◽  
Gayathri Warrier ◽  
Helen Hansen ◽  
Lucie McCoy ◽  
...  
Keyword(s):  
Association Studies ◽  
Elastic Net ◽  
Strongly Correlated ◽  
Methylation Index ◽  
Cpg Sites ◽  
Glucocorticoid Response ◽  
Cross Platform ◽  
Adult Glioma ◽  
Epic Array ◽  
Over Time

Abstract The neutrophil dexamethasone methylation index (NDMI) is an algorithm-based biomarker to assess individuals’ exposures to dexamethasone, a synthetic glucocorticoid commonly administered for inflammation. Cortisol is the main endogenous glucocorticoid that controls vital processes including the immune response and lipid and carbohydrate metabolism. Variations in the NDMI score reflect individuals’ sensitivities of exposures to both exogenous and endogenous glucocorticoids, and this biomarker was trained using elastic net regression on Illumina’s most recent DNA methylation beadarray, the EPIC array, which contains 850,000 cytosine-guanine (CpG) sites. While technology for microarray research continues to advance over time, researchers are capable of conducting more comprehensive epigenome-wide association studies (EWAS). However, many studies are still run and archived using Illumina’s historical 450K platform with approximately 450,000 CpGs, and there are fewer published databases using the 850K EPIC array. To evaluate the cross-platform bioinformatic comparability, we performed elastic net regression modeling using predictors available in the 450K to train the NDMI. Among the 135 pre-surgery glioma cases from the UCSF Immune Profiles Study (IPS), NDMI scores between the 450K and 850K model were strongly correlated (r = 0.99, p < 0.0001). In the 311 controls from the UCSF Adult Glioma Study (AGS), similar correlations were observed (r = 0.96, p < 0.0001). We observe that NDMI remains a robust tool using historical 450K data and conclude that this algorithmic tool is capable of detecting the variations in individuals’ responses to dexamethasone.

Relationship of Pacific Madrone Sprout Growth to Productivity of Douglas-Fir Seedlings and Understory Vegetation

1990 ◽  
Vol 5 (1) ◽  
pp. 20-24 ◽  
Author(s):  
Thomas F. Hughes ◽  
John C. Tappeiner ◽  
Michael Newton
Keyword(s):  
Pseudotsuga Menziesii ◽  
Secondary Succession ◽  
Douglas Fir ◽  
Understory Vegetation ◽  
Diameter Growth ◽  
Area Index ◽  
Old West ◽  
Pacific Madrone ◽  
Relationship Of ◽  
Sprout Growth

Abstract We studied the development of Pacific madrone (Arbutus menziesii) sprout clumps of various initial densities and their effect on Douglas-fir (Pseudotsuga menziesii) seedling growth and understory vegetation. Five years after density treatments, average leaf area index (LAI) of 9-year-oldmadrone sprouts ranged from 3.6-1.0 m²/m² and total aboveground biomass from 25,630-8,390 kg/ha on the high- and low-density plots, respectively. Diameter of 9-year-old Douglas-fir was inversely related to madrone LAI and ranged from about 27 mm on the high-density plots to 54 mmin the absence of madrone. Analyses of diameter growth trends also indicated that, in the absence of madrone, Douglas-fir grew significantly (P = 0.001 to 0.023) faster than in other treatments. An index of shrub, forb, and grass density was inversely related to madrone LAI, suggesting thatunderstory species are quickly excluded from young madrone stands during secondary succession. We provide equations relating the 5-year growth of 9-year-old Douglas-fir to measures of madrone density and seedling size made when the plantation was 5 years old. West. J. Appl. For. 5(1):20-24.

Correlations Between Overtopping Vegetation and Development of Douglas-Fir Saplings in the Oregon Coast Range

1987 ◽  
Vol 2 (4) ◽  
pp. 117-119 ◽  
Author(s):  
Samuel S. Chan ◽  
John D. Walstad
Keyword(s):  
Pseudotsuga Menziesii ◽  
Tree Height ◽  
Douglas Fir ◽  
Morphological Features ◽  
Diameter Growth ◽  
Coast Range ◽  
Oregon Coast Range ◽  
Oregon Coast ◽  
Sapling Growth ◽  
Stem Diameter Growth

Abstract The response of Douglas-fir (Pseudotsuga menziesii) saplings to overtopping vegetation on three northeast-facing sites in the Oregon Coast Range was studied for two years. As amount of overtopping brush increased, sapling growth (as indicated by size) generally decreased. Basal stem diameter growth was most reduced, but similar reductions in growth occurred for tree height and other morphological features. West. J. Appl. For. 2(4):117-119, October 1987.

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