scholarly journals Maturation in peas. 1. A visual method of maturity assessment.

1969 ◽  
Vol 17 (2) ◽  
pp. 153-160 ◽  
Author(s):  
P.A. Schippers
Keyword(s):  
Close Correlation ◽  
Harvest Date ◽  
Regression Equations ◽  
Visual Method ◽  
Maturity Assessment ◽  
Average Alcohol ◽  
Crop Maturity ◽  
Green Peas

A method is described for assessing maturity in green peas based on visual estimates of pod maturity. Crop maturity as measured by average pod maturity showed a close correlation with maturity as measured by the average alcohol-insoluble solids of the peas, and the regression equations were reasonably stable. More needs to be known about the behaviour of varieties under various conditions before the method can be used to predict optimum harvest date.-A.G.G.H. (Abstract retrieved from CAB Abstracts by CABI’s permission)

The use of hydroxyproline analyses to predict the nutritional value of the protein in different animal tissues

1972 ◽  
Vol 27 (3) ◽  
pp. 475-481 ◽  
Author(s):  
Z. Dvořák
Keyword(s):  
Amino Acids ◽  
Nutritional Value ◽  
Amino Acid Content ◽  
Close Correlation ◽  
Regression Equations ◽  
Animal Tissues ◽  
Chemical Score ◽  
Limiting Amino Acids ◽  
Net Protein ◽  
Total Amino Acids

1. The amounts of available cystine and tyrosine in the protein of different animal tissues showed a close correlation with the level of hydroxyproline, and may be estimated from hydroxyproline values by regression equations.2. Estimates of ‘chemical score’ have been calculated from the content of hydroxyproline determined in a series of samples for which net protein utilization (NPU) for rats had also been determined. Chemical scores calculated as percentages of the total ‘essential+semiessential’ amino acid content of each material correlated closely with NPU, whereas scores calculated as percentages of total amino acids did not. ‘Methionine+cystine’ were calculated to be first limiting amino acids in every sample.

The relationship of several plant characters with grain yield in sorghum and their use in estimating grain loss through pest activity

1976 ◽  
Vol 16 (78) ◽  
pp. 129
Author(s):  
PN Vance
Keyword(s):  
Grain Yield ◽  
Moisture Stress ◽  
Close Correlation ◽  
Regression Equations ◽  
Grain Number ◽  
Potential Yield ◽  
Sowing Dates ◽  
Single Grain ◽  
Relationship Of ◽  
The Relationship

The relationship between grain yield and five plant characters in grain sorghum hybrid Pioneer 846 was studied. Grain yield was closely correlated with head weight, weight of a standard length of peduncle (WSP), peduncle perimeter (PP), head length and breadth. The close correlation of grain yield on WSP was shown to exist at a number of sites and for a number of varieties. However, regression equations differed for different sites, sowing dates and varieties. Of the two components of grain yield per head, single grain weight and grain number; only grain number was closely correlated with WSP. In one instance where moisture stress affected grain development, grain number but not yield was closely correlated with WSP. WSP was shown not to be affected by damage to the head and could therefore be used to estimate potential yield in agronomic trials where yield loss due to pest activity has occurred.

scholarly journals Determining Fruit Maturity in Research and Industry Applications

HortScience ◽  
1996 ◽  
Vol 31 (4) ◽  
pp. 691b-691
Author(s):  
Randolph M. Beaudry ◽  
Sylvia M. Blankenship
Keyword(s):  
Fruit Quality ◽  
Optimal Choice ◽  
Assessment Methods ◽  
Harvest Date ◽  
Maturity Assessment ◽  
Maturity Indices ◽  
Fruit Maturity ◽  
Industry Applications ◽  
Research Scientists ◽  
External Characteristics

The reasons for knowing the maturity of fruit center around controlling fruit quality after harvest. Farmers are usually concerned with trying to determine harvest date to fit their labor, storage, and marketing needs, whereas research scientists are typically trying to account for the effects of maturity as a variable in experiments. Specific goals for farmer and researcher will, in part, govern what maturity indices are used and what values are acceptable. Restrictions in time and equipment will also affect choice of maturity assessment methods. In some instances, internal or external characteristics might be more important. Because changes in a number of characteristics comprise ripening, there is no single criteria or method that can be termed “best.” However, for each situation, an optimal choice of criteria or method may exist. The logic and information necessary to reach those optimal choices, from the perspective of the researcher and the commercial horticulture operation, is presented and contrasted.

scholarly journals Studying auroral activity using the SME index at the magnetic storm main phase during CIR and ICME events

2021 ◽  
Vol 7 (4) ◽  
pp. 18-23
Author(s):  
Roman Boroev ◽  
Mikhail Vasiliev
Keyword(s):  
Magnetic Storm ◽  
Interplanetary Medium ◽  
Correlation Coefficients ◽  
Close Correlation ◽  
Magnetic Storms ◽  
Main Phase ◽  
Regression Equations ◽  
Storm Main Phase ◽  
Storm Characteristics ◽  
Relationship Of

In this paper, we examine the relationship of the SME index with magnetic storm characteristics and interplanetary medium parameters during the main phase of magnetic storms caused by CIR and ICME events. Over the period 1990–2017, 107 magnetic storms driven by (64) CIR and (43) ICME events have been selected. In contrast to AE and Kp, a stronger correlation is shown to exist between the average SME index (SMEaver) and interplanetary medium parameters during the magnetic storm main phase. Close correlation coefficients between SMEaver and the SW electric field (southward IMF Bz) have been obtained for CIR and ICME events. SMEaver has been found to increase with the rate of magnetic storm development and |Dstmin|. For CIR and ICME events, no difference has been revealed between SMEaver and |Dstmin| in linear regression equations.

scholarly journals On the informativeness of the shock pulse method for controlling the geocomposite constructions strength

2019 ◽  
Vol 109 ◽  
pp. 00072
Author(s):  
Liliia Prokhorets
Keyword(s):  
Pulse Duration ◽  
Experimental Studies ◽  
Pulse Method ◽  
Close Correlation ◽  
Building Industry ◽  
Regression Equations ◽  
Shock Pulse ◽  
Informative Parameter ◽  
Uniaxial Compression Strength ◽  
Correlation Relationship

This article shows the possibility of using the shock impulse method widely used in the building industry for the control of above-ground concrete structures in relation to elements of underground geocomposite protective constructions. As a result of experimental studies performed in the laboratory on various mortar mixtures that harden, it was established that there is a close correlation relationship between two data arrays: the values of the shock pulse duration and the uniaxial compression strength. The reliability of the obtained regression equations is in the range of 0.82 - 0.9. This shows the possibility of using the shock pulse method in the new version, with the previously unused informative parameter - the shock pulse duration for assessing the strength of mortar mixes that harden, which are widely used to create geocomposite constructions.

Chest wall and lung volume estimation by optical reflectance motion analysis

1996 ◽  
Vol 81 (6) ◽  
pp. 2680-2689 ◽  
Author(s):  
S. J. Cala ◽  
C. M. Kenyon ◽  
G. Ferrigno ◽  
P. Carnevali ◽  
A. Aliverti ◽  
...  
Keyword(s):  
Chest Wall ◽  
Motion Analysis ◽  
Lung Volume ◽  
Close Correlation ◽  
Volume Estimation ◽  
Three Dimensions ◽  
Regression Equations ◽  
Optical Reflectance ◽  
Dimensional Measurements ◽  
Point Data

Cala, S. J., C. M. Kenyon, G. Ferrigno, P. Carnevali, A. Aliverti, A. Pedotti, P. T. Macklem, and D. F. Rochester. Chest wall and lung volume estimation by optical reflectance motion analysis. J. Appl. Physiol. 81(6): 2680–2689, 1996.—Estimation of chest wall motion by surface measurements only allows one-dimensional measurements of the chest wall. We have assessed an optical reflectance system (OR), which tracks reflective markers in three dimensions (3-D) for respiratory use. We used 86 (6-mm-diameter) hemispherical reflective markers arranged circumferentially on the chest wall in seven rows between the sternal notch and the anterior superior iliac crest in two normal standing subjects. We calculated the volume of the entire chest wall and compared inspired and expired volumes with volumes obtained by spirometry. Marker positions were recorded by four TV cameras; two were 4 m in front of and two were 4 m behind the subject. The TV signals were sampled at 100 Hz and combined with grid calibration parameters on a personal computer to obtain the 3-D coordinates of the markers. Chest wall surfaces were reconstructed by triangulation through the point data, and chest wall volume was calculated. During tidal breathing and vital capacity maneuvers and during CO2-stimulated hyperpnea, there was a very close correlation of the lung volumes (Vl) estimated by spirometry [Vl(SP)] and OR [Vl(OR)]. Regression equations of Vl(OR) ( y) vs. Vl(SP) ( x,btps in liters) for the two subjects were given by y = 1.01 x − 0.01 ( r = 0.996) and y = 0.96 x + 0.03 ( r = 0.997), and by y = 1.04 x + 0.25 ( r = 0.97) and y = 0.98 x + 0.14 ( r = 0.95) for the two maneuvers, respectively. We conclude spirometric volumes can be estimated very accurately and directly from chest wall surface markers, and we speculate that OR may be usefully applied to calculations of chest wall shape, regional volumes, and motion analysis.

The nutritive value of grasses grown in Uganda when fed to zebu cattle I. The relation between the percentage of crude protein and other nutrients

1963 ◽  
Vol 61 (1) ◽  
pp. 101-104 ◽  
Author(s):  
R. M. Bredon ◽  
K. W. Harker ◽  
B. Marshall
Keyword(s):  
Crude Protein ◽  
Dry Matter ◽  
Nutritive Value ◽  
Close Correlation ◽  
Regression Equation ◽  
Zebu Cattle ◽  
Regression Equations

The use of the percentage of crude protein in grass consumed by cattle as a means of estimating the nutritive value of grass was investigated. Regression equations expressing the correlation between crude protein and the digestibility coefficients of crude protein, organic and dry matter were calculated.A close correlation between the percentage of crude protein in faeces and in consumed grass was found, and a regression equation was calculated.

Predictive Value of Human Footprints in a Forensic Context

1998 ◽  
Vol 38 (4) ◽  
pp. 341-346 ◽  
Author(s):  
S L Barker ◽  
J L Scheuer
Keyword(s):  
United States ◽  
Normal Distribution ◽  
Predictive Value ◽  
Quantitative Method ◽  
Close Correlation ◽  
The United States ◽  
Regression Equations ◽  
Foot Length ◽  
Dental Schools ◽  
Adult Volunteers

Previous work from the United States has shown close correlation between an individual's size and weight and predetermined measurements taken from his or her footprints. This study investigated the situation in a group of United Kingdom subjects, for which there is at present little data. Walking and standing footprints, fleshed foot measurements and stature were obtained from 105 adult volunteers from the staff and students of the United Medical and Dental Schools of Guy's and St Thomas' Hospitals, London. The footprints were measured using predetermined landmarks and the results analysed to investigate the significance of the parameters in a forensic context. Inter-observer and intra-observer errors were within acceptable limits. Regression equations were calculated for foot length from various parameters measured on a footprint. Topinard's finding that foot length represents between 14.9%–18.1% of stature in a given individual was confirmed. Footprint length showed a normal distribution in both sexes but male footprint length was greater than female footprint length for any given height. This study provides a quantitative method that could be used both with partial footprints and in the absence of dermatoglyphics to assist in the identification of an individual in a forensic context.

Correlation-Regression Analysis of Economic Traits in Breeding of Oil Flax

2020 ◽  
pp. 92-101
Keyword(s):  
Regression Analysis ◽  
Linseed Oil ◽  
Maximum Yield ◽  
Mutual Effect ◽  
Close Correlation ◽  
Regression Equation ◽  
Weak Links ◽  
Main Task ◽  
Regression Equations ◽  
Breeding Work

The main task of plant breeding is to increase yields. The crop is the result of the life cycle that the plant has passed, and the maximum yield is the realization of the most favorable equilibrium between all its components. Breeding for high yields of linseed oil is one of the priority areas, along with breeding for oilseed and altered fatty acid composition of oil. Zaporizhzhya breeding school is successfully working in this direction and the result of this work - created in different years 13 varieties, developed a model variety for the Steppe zone, a variety of source material and methodological basis for the creation of varieties. Statistical correlation-regression analysis is increasingly used to establish patterns of correlation between quantitative and qualitative traits, to clarify the complex relationships between many different causes and their mutual effect on one another. The purpose of our research was to establish correlation relationships of yield with the main economically valuable features of linseed oil and to obtain regression equations of productivity elements to improve the efficiency of further breeding work. We found correlation between the main economically valuable traits of the nine flax varieties of Zaporizhzhya breeding. Five-year estimates show significant correlations of yields with basic economic values that are high and stable enough in different weather conditions. The absence of very weak ones and the small number of weak links between the variables are probably due to the presence of similar complexes of selected features in the studied varieties. A very close direct correlation between yield and seed weight per plant (r = 0.99), yield and number of lateral stems per plant (r = 0.92) was established. Evaluation of the link strength showed the existence of a direct close correlation between the mass of seeds per plant and the number of lateral stems (r = 0.93), as well as a close correlation between the duration of the growing season and height (r = 0.87 ) and between height and number of lateral stems (r = 0.83). Seed yield is the most important trait that characterizes the genetic potential of modern oilseed flax varieties. Therefore, we performed a paired correlation-regression analysis of the dependence of yield on the studied economic and valuable features. As a result of our analysis, it was found that the most closely correlated yield was correlated with the seed mass of 1 plant (r = 0.99 ± 0.01). In our opinion, as a result of purposeful breeding work, genotypes have been selected that are capable of forming a large number of seeds on each plant. In the course of the researches the regression equation was calculated and the degree and orientation of the relationships between a number of investigated breeding traits were revealed. In the course of the researches the regression equation was calculated and the degree and orientation of the relationships between a number of investigated breeding traits were revealed. The diagrams we have constructed and the calculated regression equations will allow us to influence the formation, control the quantitative traits and control the systemic phenomena in the selection process of linseed oil in further studies. The use of correlation regression analysis allowed us to obtain models of the elements of cultural productivity. The calculated regression equations will allow us to predict with precision the various important economically valuable features of linseed oil and to increase the efficiency of further breeding work.

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