Soil Fertilization and Texture on Boron Accumulation and Wood Volume in Corymbia citriodora (Hook) K.D. Hill & L.A.S Johnson

This study aimed to evaluate the effects of soil fertilization and texture on leaf Boron (B) accumulation and its relation with wood volume of Corymbia citriodora Hill & Johnson. The experiment was set in randomized block with four replications, four B fertilization levels (0, 1.1, 2.2 and 4.4 g.plant-1) in two soils types (sandy and clayey). To determine leaf B content, 25 leaves were collected from the median portion of four trees for each treatment. Leaves were dried on oven and B content was determined by the Azomethine-H method using extract obtained by dry digestion. The diameter at breast height and the total height of 25 trees were collected in all treatments and wood volume was calculated. Data were submitted to analysis of variance and the means adjusted to regression equations. The regression coefficients were evaluated by t-test at 1 and 5% probability. It was verified that clay soil produces more wood, compared to sandy soil. There was a gain increase in foliar B as B doses increased in both soil types. Leaf B affected Corymbia citriodora productivity only in clay soil.

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Contribution of some Acacia Species on Carbon Sequestration in Blue Nile State, Sudan

10.51527/v2i1.13me ◽

2021 ◽

pp. 97-105

Keyword(s):

Carbon Sequestration ◽

Wood Density ◽

Carbon Stock ◽

Tree Height ◽

Biomass Estimation ◽

Expansion Factor ◽

Wood Volume ◽

Crown Diameter ◽

Breast Height ◽

Acacia Seyal

Background: The current challenge is to reduce the uncertainties in obtaining accurate and reliable data of carbon stock changes and emission factors essential for reporting national inventories. Improvements in above ground biomass estimation can also help account for changes in carbon stock in forest areas that may potentially participate in the Reducing emissions from deforestation and forest degradation and other initiatives. Current objectives for such estimates need a unified approach which can be measurable, reportable, and verifiable. This might result to a geographically referenced biomass density database for Sudanese forests that would reduce uncertainties in estimating forest aboveground biomass. The main objective: of this study is to assess potential of some selected forest variables for modeling carbon sequestration for Acacia seyal, vr. Seyal, Acacia seyal, vr. fistula, Acacia Senegal. The specific objectives include development of empirical allometric models for forest biomass estimation, estimation of carbon sequestration for these tree species, estimation of carbon sequestration per hectare and comparing the amount with that reported to the region. A total of 10 sample trees for biomass and carbon determination were selected for each of the three species from El Nour Natural Forest Reserve of the Blue Nile State, Sudan. Data of diameter at breast height, total tree height, tree crown diameter, crown height, and upper stem diameters were measured. Then sample trees were felled and sectioned to their components, and weighed. Subsamples were selected from each component for oven drying at 105 ˚C. Finally allometric models were developed and the aboveground dry weight (dwt) and carbon sequestered per hector were calculated. The results: presents biomass equations, biomass expansion factor and wood density that developed for the trees. In case of inventoried wood volume, corrections for biomass expansion factor and wood density value were done, and new values are suggested for use to convert wood volume to biomass estimates. The results also, indicate that diameter at breast height, crown diameter and tree height are good predictors for estimation of tree dwt and carbon stock. Conclusion: The developed allometric equations in this study gave better estimation of dwt than default value. The average carbon stock was found to be 22.57 t/ha.

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PROBLEMS FOR ANTI-CRISIS ANALYTICAL PROCEDURES OF FINANCIAL STABILITY OF TRADE ENTERPRISES

10.32782/2224-6282/161-25 ◽

2020 ◽

Author(s):

Ludmila Anipko ◽

◽

Irina Klimovych ◽

Keyword(s):

Financial Stability ◽

Regression Equation ◽

Regression Coefficients ◽

Regression Equations ◽

Financial Condition ◽

Financial Audit ◽

Analytical Procedures ◽

Financial Monitoring ◽

Complex Indicators

Anti-crisis analytical procedures the financial stability of trade enterprises (hereinafter – AP FS) are part of the internal financial audit of economic activity. The system of financial monitoring is practically acceptable for the implementation of AP FS. The developed classification allows to determine the ability of the enterprise to implement AP FS. An analytical method has been developed that allows, based on the analysis of the financial condition and multivariate forecast, to develop measures to ensure the financial stability of the trade enterprise continuously. By interpolation, the study of the current financial situation, and extrapolation – a multivariate forecast, the numerical value of the integrated (complex) indicator that characterizes financial stability is determined by the regression equation, including factors listed in the classification, the significance of which is determined by regression equations. Based on the analysis of the numerical values of the regression coefficients, it is possible to determine the most important factors that affect the financial stability of trade enterprises, and those that have almost no effect on it. Components with significantly small numerical values of the regression coefficients can be generally discarded. This will reduce the number of indicators that affect financial stability and thus, you can reduce the number of components in the regression equation to the two three most important, which allows you to solve the problem of optimization. The expediency of using integrated and complex indicators is shown. The obtained results are only an information basis for the economic administration of the trade enterprise in making management decisions, the formation of long-term plans. The developed approaches to assessing the financial stability of enterprises are universal and can be used for enterprises in other sectors of the economy.

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. Reflection of individual typological properties in the tremorogram (Predicting the indicators of Rusalov’s test according to the indicators of the tremorogram)

Journal of Education, Health and Sport ◽

10.12775/jehs.2021.11.05.022 ◽

2021 ◽

Vol 11 (5) ◽

pp. 213-222

Author(s):

B. A. Lobasyuk ◽

L. N. Akimova ◽

A. N. Stoyanov ◽

A. V. Zamkovaya

Keyword(s):

Linear Regression ◽

Multiple Linear Regression ◽

Regression Coefficients ◽

Regression Equations ◽

Target Feature ◽

Left Hand ◽

Right Hand ◽

Postural Load ◽

Significant Regression ◽

The Right

Rationale for choosing. An increase in physiological tremor (Tr) in emotionally saturated situations is reflected not only in fiction, but also in scientific literature. In other words, tremors and emotional responses are interconnected. Purpose. To investigate the reflection of individual-typological properties in a tremorogram using V. M. Rusalov’s mathematical modeling. Material and methods. Tr was recorded using a linear transducer. Tr was recorded under postural load (arms extended forward). The sensor was alternately placed on the outstretched right and left arms in front of oneself, under conditions of “eyes open” (operative rest). The analysis of the tremorogram (TrG) files was carried out after the end of the study using the "Analist - 2" software according to the half - period analysis algorithm. To study the individual psychological characteristics of the personality, we used the method of determining the properties of the temperament by V.M. Rusalov. Each of the many indicators of Rusalov’s test selected in the analysis was considered as a target feature (Y-s), and the amplitudes and frequencies of TrG were considered as influencing variables (sets of X - s) and multiple linear regression equations of the form were built: The parameters of the amplitude and frequency of EEG rhythms were used as Xs. Own research. In multiple regression analysis of the influence of TrG indices of the right hand on the indices of Rusalov’s test, 12 statistically significant regression coefficients were determined, and 11 statistically significant regression coefficients for the left hand. After obtaining the diagnostic equations of multiple linear regression, describing the influence of TrG indicators on the indicators of Rusalov’s test, an attempt was made, using these equations, to obtain the indicators of Rusalov’s test, using the tremor indicators. On average, the% discrepancy between the determined and predicted indicators was 97.42% for the right hand, and 101.98 for the left. Conclusions. 1. With the use of diagnostic equation, it was possible to predict the indicators of psychological testing according to Rusalov’s test by the indicators of tremor of the right and left hands.2. Influence of Rusalov’s test indicators on TrG indicators were less in modulus than the influence of TrG indicators on the indicators of Rusalov’s test, i.e. did not participate in the control of the mechanisms of TrG generation.3. The results obtained indicate that tremor indicators contain information about the subject-activity and communicative aspects of temperament according to V. M. Rusalov.

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COMPARISON OF OBSERVATIONS AND MACROCLIMATIC MODEL ESTIMATES OF MONTHLY WINTER SOIL TEMPERATURES AT OTTAWA

Canadian Journal of Soil Science ◽

10.4141/cjss85-012 ◽

1985 ◽

Vol 65 (1) ◽

pp. 109-122 ◽

Cited By ~ 1

Author(s):

L. M. DWYER ◽

H. N. HAYHOE

Keyword(s):

Snow Cover ◽

Predictive Models ◽

Regression Models ◽

Stepwise Regression ◽

Regression Coefficients ◽

Data Sets ◽

Regression Equations ◽

Grass Cover ◽

Partial Regression ◽

Soil Temperatures

Estimates of monthly soil temperatures under short-grass cover across Canada using a macroclimatic model (Ouellet 1973a) were compared to monthly averages of soil temperatures monitored over winter at Ottawa between November 1959 and April 1981. Although the fit between monthly estimates and Ottawa observations was generally good (R for all months and depths 0.10, 0.20, 0.50, 1.00 and 1.50 m was 0.90), it was noted that midwinter estimates were generally below observed temperatures at all soil depths. Data sets used in the development of the original Ouellet (1973a) multiple regression equations were collected from stations across Canada, many of which have reduced snow cover. It was found that the buffering capability of the snow cover accumulated at Ottawa during the winter months was underestimated by the pertinent partial regression coefficients in these equations. The coefficients were therefore modified for the Ottawa station during the winter months. The resultant regression models were used to estimate soil temperature during the winters of 1981–1982 and 1982–1983. Although the Ottawa-based models included fewer variables because of the smaller data base available from a single site, comparisons of model estimates and observations were good (R = 0.84 and 0.91) and midwinter estimates were not consistently underestimated as they were using the original Ouellet (1973a) model. Reliable monthly estimates of soil temperatures are important since they are a necessary input to more detailed predictive models of daily soil temperatures. Key words: Regression model, snowcover, stepwise regression, variable selection

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Determinant of Capital structure of Nepalese hydropower companies

Pravaha ◽

10.3126/pravaha.v25i1.31950 ◽

2020 ◽

Vol 25 (1) ◽

pp. 149-158

Author(s):

Prem Lal Rajbanshi

Keyword(s):

Capital Structure ◽

Regression Coefficients ◽

Regression Equations ◽

Debt Ratio ◽

Tax Shield ◽

Total Debt ◽

Independent Variable ◽

Debt Tax Shield ◽

Size Variable

This study examines the effect of profitability, liquidity, size, tangibility and tax shield on capital structure of Nepalese Hydropower Companies. Debt ratio and long term debt to total assets ratio are taken as dependent variable and Profitability, liquidity, size, tangibility and tax shield are as independent variable. The study reveals that tangibility and non debt tax shield are positively influence the total debt where as profitability and liquidity are negatively influence on the total debt decision of the Nepalese Hydropower Companies. The regression coefficients for size are neither consistent nor statistically insignificant in all regression equations indicating that size variable is not the major factor of determinant of total debt as well as long term debt.

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The effect of spacing on the growth ofEucalyptus camaldulensison salt-affected soils of the Punjab, Pakistan

Canadian Journal of Forest Research ◽

10.1139/x08-085 ◽

2008 ◽

Vol 38 (9) ◽

pp. 2434-2444 ◽

Cited By ~ 8

Author(s):

Javaid Akhtar ◽

Z. A. Saqib ◽

R. H. Qureshi ◽

M. A. Haq ◽

M. S. Iqbal ◽

...

Keyword(s):

Electrical Conductivity ◽

Tree Growth ◽

Soil Salinity ◽

Eucalyptus Camaldulensis ◽

Wood Volume ◽

Breast Height ◽

Salt Affected Soils ◽

Eucalyptus Camaldulensis Dehnh ◽

The Impact ◽

I 31

This study compared the performance of Eucalyptus camaldulensis Dehnh. planted at four spacings (2.0 m × 2.0 m, 2.5 m × 2.5 m, 3.0 m × 3.0 m, and 3.5 m × 3.5 m) at three experimental saline sites in Punjab province of Pakistan over 5 years and assessed the impact of these planting densities on soil salinity amelioration. Tree response was assessed by measuring survival, height, and diameter at breast height (DBH) of trees at 1, 2, and 5 years as well as wood volume after 5 years. Wood volume per hectare, height, and DBH were greater at sites I and II than at site III. The 3.0 m × 3.0 m spacing resulted in taller trees, but DBH and wood volume were greater with the 3.5 m × 3.5 m spacing. The study confirmed that initial tree spacing or density has a significant impact on the subsequent height, DBH, and wood volume of E. camaldulensis plants. The study also showed that broad spacing could be a better option in saline environments. There was a definite reduction in soil salinity (electrical conductivity, ECe) at five soil depths after 5 years of tree growth at all sites and spacing treatments, with reductions varying from 46% to 47% at site I, 31% to 52% at site II, and 25% to 58% at site III. Soil ECewas generally higher in surface (0–15 cm) soils.

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Allometric equations for crown fuel biomass of Aleppo pine (Pinus halepensis Mill.) in Greece

International Journal of Wildland Fire ◽

10.1071/wf06038 ◽

2007 ◽

Vol 16 (5) ◽

pp. 642 ◽

Cited By ~ 21

Author(s):

I. D. Mitsopoulos ◽

A. P. Dimitrakopoulos

Keyword(s):

Pinus Halepensis ◽

Allometric Equation ◽

Aleppo Pine ◽

Allometric Equations ◽

Fuel Load ◽

Coefficient Of Determination ◽

Regression Equations ◽

Diameter At Breast Height ◽

Breast Height ◽

Average Load

Allometric equations for the estimation of crown fuel weight of Aleppo pine (Pinus halepensis Mill.) trees in the Mediterranean Basin were developed. Forty trees were destructively sampled and their crown fuels were weighed separately for each fuel category. Crown fuel components, both living and dead, were separated into size classes and regression equations that estimate crown fuel load by diameter class were derived. The allometric equation y = axb with diameter at breast height as the single predictor was chosen, because the addition of other parameters did not decrease the residual sum of squares significantly. The adjusted coefficient of determination (R2adj) values were high (R2adj = 0.82–0.88) in all cases. Diameter at breast height was the most significant determinant of crown fuel biomass. The aerial fuels that are consumed during crown fires (i.e. needles and twigs with diameter less than 0.63 cm) comprised 29.3% of the total crown weight. Live fuels constituted ~96.3% of total crown biomass, distributed as follows: needles 16.7% (average load 12.07 kg), branches with 0.0–0.63-cm diameter 12.6% (average load 9.18 kg), 0.64–2.5-cm diameter 37.3% (27.99 kg), 2.51–7.5-cm diameter 25.4% (18.59 kg), and >7.5-cm diameter 3.7% (2.65 kg). The equations provide quantitative fuel biomass attributes for use in crown fire behaviour models, fire management and carbon assessment in Aleppo pine stands.

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Using Bootstrapped Confidence Intervals for Improved Inferences with Seemingly Unrelated Regression Equations

Econometric Theory ◽

10.1017/s026646660000685x ◽

1996 ◽

Vol 12 (3) ◽

pp. 569-580 ◽

Cited By ~ 16

Author(s):

Paul Rilstone ◽

Michael Veall

Keyword(s):

Monte Carlo ◽

Regression Model ◽

Confidence Intervals ◽

Seemingly Unrelated Regression ◽

Regression Coefficients ◽

Standard Errors ◽

Regression Equations ◽

Unrelated Regression ◽

Seemingly Unrelated Regression Model ◽

Downward Bias

The usual standard errors for the regression coefficients in a seemingly unrelated regression model have a substantial downward bias. Bootstrapping the standard errors does not seem to improve inferences. In this paper, Monte Carlo evidence is reported which indicates that bootstrapping can result in substantially better inferences when applied to t-ratios rather than to standard errors.

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Regression analysis of milk production traits in simmental cows

Biotechnology in Animal Husbandry ◽

10.2298/bah1104433p ◽

2011 ◽

Vol 27 (4) ◽

pp. 1433-1441

Author(s):

M.D. Petrovic ◽

V. Bogdanovic ◽

M.M. Petrovic ◽

S. Rakonjac

Keyword(s):

Regression Analysis ◽

Milk Production ◽

Milk Fat ◽

Regression Coefficients ◽

Regression Equations ◽

Production Traits ◽

Milk Production Traits ◽

Partial Regression ◽

Three Generations ◽

Lactation Length

The relationship between milk production traits over whole lactations was evaluated across three generations of Simmental cows, i.e. between daughters, dams and grand dams, by a phenotypic regression analysis with whole lactation traits in the daughter generation being used as the dependent variables (x1), and those in the dam and grand dam generations being used as the independent variables (x2 and x3). The results were obtained from a sample of 1170 daughters and as many dams and grand dams. The significance of the partial regression coefficients b2 and b3 was separately evaluated by a t-test. An analysis of variance was used to estimate the significance of the simultaneous effect of the production traits of dams and grand dams on the milk production achieved in the daughter generation. The calculated value of the partial regression coefficients for the whole lactation production traits across three generations (grand dams, dams and daughters) and their statistical significances determined by the t and F tests, as well as the regression equations used, suggested that the effect of the grand dam generation on the milk production traits in granddaughters was substantially lower than the effect of dams. The calculated partial regression coefficients (b2 and b3) were positive and statistically very significant (P<0.01), excepting the regression coefficients b3 for lactation length and b2 for milk fat content that were not statistically significant (P>0.05). A very significant change (P<0.01) was observed in all production traits in the daughter generation as simultaneously affected by the traits in the dam and grand dam generations.

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The relationship between live weight of ewe at mating and weight of newborn lamb

Animal Science ◽

10.1017/s000335610003885x ◽

1970 ◽

Vol 12 (2) ◽

pp. 273-280 ◽

Cited By ~ 41

Author(s):

H. P. Donald ◽

W. S. Russell

Keyword(s):

Birth Weight ◽

Regression Coefficient ◽

Live Weight ◽

Regression Coefficients ◽

Regression Equations ◽

Newborn Lamb ◽

Litter Weight ◽

The Relationship

SUMMARYRegression of litter weight of newborn lambs on the live weight of ewes at mating has been estimated from data on 15 breeds after conversion of group means of ewes and lambs to natural logarithms. Regression coefficients were estimated to be 0·721 for single lambs, 0·741 for twins and 0·773 for triplets. These values are not signi-ficantly different from each other. Data from ewes with single lambs and from ewes with twins are consistent with the hypothesis that litter weight at birth as a proportion of ewe weight at mating tends to dechne as ewe weight rises from small to large breeds. In a breed with ewes averaging 25 kg the expected birth weight of singles is 9·6% and of twins 15·2%, of ewe weight. For a breed with ewes of 100 kg the corresponding weights would be 6·5% and 10·6% of ewe weight. Since the estimated regression coefficient and the coefficient in the expression for metabolic weight (0·730) are alike, the regression equations can be interpreted as showing that single lambs were 22·6% and twin pairs 36·1% of ewes' metabolic weight.

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