Canonical correlations of seed viability, seed-borne fungi, and environment in bulk grain ecosystems

1969 ◽  
Vol 47 (1) ◽  
pp. 27-34 ◽  
Author(s):  
R. N. Sinha ◽  
H. A. H. Wallace ◽  
F. S. Chebib
Keyword(s):  
Canonical Correlation ◽  
Seed Viability ◽  
Streptomyces Griseus ◽  
Canonical Correlations ◽  
Storage Fungi ◽  
Canonical Variates ◽  
Alternaria Tenuis ◽  
Grain Bulks ◽  
Biological Environment ◽  
Penicillium Spp

Canonical correlation analyses were performed to determine relationships among seed-viability, fungi, and environment in two bulk grain ecosystems. Measurements of 20 variables were made on 8135 samples from two wheat bulks in a farm granary in Winnipeg during 1959–1967. The canonical vectors were interpreted by correlating each set of two canonical variates with the original variates on which they were based. The highest and the second highest significant (P < 0.001) canonical correlation for each combination were field fungi and germination vs. non-biological environment, 0.91 and 0.32; storage fungi vs. non-biological environment, 0.77 and 0.42; field fungi and germination vs. storage fungi, 0.78 and 0.35. In aging grain bulks the attack of the storage fungi Chaetomium funicolum, Streptomyces griseus, Aspergillus spp., and Rhizopus arrhizus involves the loss of grain viability and decrease in the field fungi, Alternaria tenuis, Cochliobolus sativus, and Gonatobotrys simplex. Collectively grain temperature and the granary conditions are most important in the reduction of the field fungi; whereas temperature, moisture content, and time are most involved in the infestation of S. griseus, Penicillium spp., C. funicolum, Aspergillus spp., and R. arrhizus.

FUNGI ASSOCIATED WITH HOT SPOTS IN FARM STORED GRAIN

1962 ◽  
Vol 42 (1) ◽  
pp. 130-141 ◽  
Author(s):  
H. A. H. Wallace ◽  
R. N. Sinha
Keyword(s):  
Hot Spots ◽  
Viable Seed ◽  
Stored Grain ◽  
Surface Layers ◽  
Bulk Heating ◽  
Storage Fungi ◽  
Grain Bulks ◽  
Penicillium Spp ◽  
Water Contents

The temperature, moisture, germination and fungal relationships of normal and heated wheat and oats collected from grain bulks in 13 granaries in Manitoba and Saskatchewan were determined during the falls and winters of 1957–60. Eight bulks were studied in detail. It was found that hot spots could develop anywhere in a bin. Temperatures up to 53 °C. (in winter) were obtained and were usually highest at the base of the bulk. Heating grain was relatively dry (less than 11 per cent) except along the surface. The highest water contents (27 per cent) in the bulks always occurred in the gram along the surface layers. Loss of germinability could occur anywhere in the bulk. Field fungi, such as Alternaria, were common in viable seed, but negligible in heated grain. The seeds in hot spots were predominantly infected by storage fungi, among which Penicillium spp. were the most abundant, even in relatively dry grain at the 6-foot depth. Other fungi commonly found were Aspergillus spp., especially A. flavus Link, A. fumigatus Fresenius, A. versicolor (Vuillemin) Tiraboschi and Absidia spp. Actinomycetes (Streptomyces) were common in some heating grain bulks.

The locomotor activity of Cryptolestes ferrugineus (Stephens) (Coleoptera:Cucujidae) in wheat

1969 ◽  
Vol 47 (6) ◽  
pp. 1177-1182 ◽  
Author(s):  
F. L. Watters
Keyword(s):  
Locomotor Activity ◽  
Moisture Content ◽  
Continuous Illumination ◽  
Cryptolestes Ferrugineus ◽  
Feeding Sites ◽  
Storage Fungi ◽  
Grain Bulks ◽  
Penicillium Spp

Moisture content was the factor that most affected locomotor activity of Cryptolestes ferrugineus in wheat at 15°, 22°, and 28 °C. More insects emigrated from dry than from damp wheat; accelerated emigration from damp wheat after 4 days at 28° was attributed to the growth of storage fungi, primarily Aspergillus spp. and Penicillium spp. Emigration was not different at insect densities ranging from 5 to 50 insects per 98 g of wheat.C. ferrugineus was positively geotactic except in wheat which had been previously infested. Emigration was stimulated in daylight and by continuous illumination, but was depressed in darkness.Starved insects were less active than unstarved insects in dry wheat, but both groups were equally active in damp wheat. Insects were more active in dry than in damp wheat, but activity did not differ when both wheats were cracked to provide more accessible feeding sites. Locomotor activity in moldy wheat was related to preconditioning; more insects preconditioned for 3 days in dry wheat remained in moldy wheat than did those preconditioned for 3 days on damp wheat.The results suggest that insects concentrate in damp or cracked wheat because they can feed, oviposit, and develop more readily than is possible in dry wheat. Thus, in grain bulks C. ferrugineus tends to disperse in dry regions and to concentrate in moister regions.

Depression and Health Behavior of Adolescents

1987 ◽  
Vol 61 (1) ◽  
pp. 111-113 ◽  
Author(s):  
Robert J. McDermott ◽  
Wesley E. Hawkins ◽  
David F. Duncan
Keyword(s):  
Mental Health ◽  
Health Behavior ◽  
Health Behaviors ◽  
Canonical Correlation ◽  
Age Group ◽  
Positive Health ◽  
Symptoms Of Depression ◽  
Canonical Variates ◽  
The Relationship

This study examined the relationship between two sets of variables, symptoms of depression and health behaviors of adolescents. Analysis using canonical correlation produced two significant canonical variates. Results suggest that addressing symptoms of negative mental health in adolescents may be an important step toward facilitating positive health behaviors in this age group.

scholarly journals Kernel functional canonical correlation analysis

2017 ◽  
Vol 5 (325) ◽  
Author(s):  
Mirosław Krzyśko ◽  
Łukasz Waszak
Keyword(s):  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
Functional Data ◽  
Canonical Correlation ◽  
Multivariate Data ◽  
Research Interest ◽  
Canonical Correlations ◽  
Canonical Variables ◽  
Correlation Methods ◽  
The Subject

Canonical correlation methods for data representing functions or curves have received much attention in recent years. Such data, known in the literature as functional data (Ramsay and Silverman, 2005), has been the subject of much recent research interest. Examples of functional data can be found in several application domains, such as medicine, economics, meteorology and many others. Unfortunately, the multivariate data canonical correlation methods cannot be used directly for functional data, because of the problem of dimensionality and difficulty in taking into account the correlation and order of functional data. The problem of constructing canonical correlations and canonical variables for functional data was addressed by Leurgans et al. (1993), and further developments were made by Ramsay and Silverman (2005). In this paper we propose a new method of constructing canonical correlations and canonical variables for functional data.

On the Interpretation of Canonical Analysis

1972 ◽  
Vol 9 (2) ◽  
pp. 187-192 ◽  
Author(s):  
Mark I. Alpert ◽  
Robert A. Peterson
Keyword(s):  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Canonical Analysis ◽  
Canonical Correlations ◽  
Independent Variables ◽  
Shared Variation ◽  
Marketing Problems

Canonical correlation analysis has been increasingly applied to marketing problems. This article presents some suggestions for interpreting canonical correlations, particularly for avoiding overstatement of the shared variation between sets of independent variables and for explicating relationships among variables within each set.

Robust feature screening for multi-response trans-elliptical regression model with ultrahigh-dimensional covariates

2019 ◽  
Vol 09 (04) ◽  
pp. 2150001
Author(s):  
Yong He ◽  
Hao Sun ◽  
Jiadong Ji ◽  
Xinsheng Zhang
Keyword(s):  
Regression Model ◽  
Canonical Correlation ◽  
Main Idea ◽  
Tail Dependence ◽  
Real Data ◽  
Feature Screening ◽  
Canonical Correlations ◽  
Heavy Tailed Distributions ◽  
Sure Screening ◽  
Heavy Tailed

In this paper, we innovatively propose an extremely flexible semi-parametric regression model called Multi-response Trans-Elliptical Regression (MTER) Model, which can capture the heavy-tail characteristic and tail dependence of both responses and covariates. We investigate the feature screening procedure for the MTER model, in which Kendall’ tau-based canonical correlation estimators are proposed to characterize the correlation between each transformed predictor and the multivariate transformed responses. The main idea is to substitute the classical canonical correlation ranking index in [X. B. Kong, Z. Liu, Y. Yao and W. Zhou, Sure screening by ranking the canonical correlations, TEST 26 (2017) 1–25] by a carefully constructed non-parametric version. The sure screening property and ranking consistency property are established for the proposed procedure. Simulation results show that the proposed method is much more powerful to distinguish the informative features from the unimportant ones than some state-of-the-art competitors, especially for heavy-tailed distributions and high-dimensional response. At last, a real data example is given to illustrate the effectiveness of the proposed procedure.

Canonical correlation analysis of abiotic and biotic variates in insect-infested grain bulks

Oecologia ◽  
1972 ◽  
Vol 8 (4) ◽  
pp. 321-333 ◽  
Author(s):  
R. N. Sinha ◽  
J. E. M. H. van Bronswijk ◽  
H. A. H. Wallace
Keyword(s):  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Grain Bulks

scholarly journals A Statistical Method for Correlating Paired Wave Spectra

2015 ◽  
Vol 32 (11) ◽  
pp. 2130-2146 ◽  
Author(s):  
Clarence O. Collins ◽  
C. Linwood Vincent ◽  
Hans C. Graber
Keyword(s):  
Correlation Analysis ◽  
Statistical Method ◽  
Canonical Correlation Analysis ◽  
Standard Method ◽  
Canonical Correlation ◽  
Ocean Wave ◽  
Correlation Structure ◽  
Wave Spectra ◽  
Canonical Correlations ◽  
The Matrix

AbstractOcean wave spectra are complex. Because of this complexity, no widely accepted method has been developed for the comparison between two sets of paired wave spectra. A method for intercomparing wave spectra is developed based on an example paradigm of the comparison of model spectra to observed spectra. Canonical correlation analysis (CCA) is used to investigate the correlation structure of the matrix of spectral correlations. The set of N ranked canonical correlations developed through CCA (here termed the r-sequence) is shown to be an effective method for understanding the degree of correlation between sets of paired spectral observation. A standard method for intercomparing sets of wave spectra based on CCA is then described. The method is elucidated through analyses of synthetic and real spectra that span a range of correlation from random to almost equal.

scholarly journals Canonical correlation analysis for studying the relationship between egg production traits and body weight, egg weight and age at sexual maturity in layers

2011 ◽  
Vol 50 (No. 4) ◽  
pp. 163-168 ◽  
Author(s):  
Y. Akbaş ◽  
Ç. Takma
Keyword(s):  
Body Weight ◽  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Sexual Maturity ◽  
Egg Production ◽  
Production Traits ◽  
Egg Weight ◽  
Canonical Correlations ◽  
The Relationship

In this study, canonical correlation analysis was applied to layer data to estimate the relationships of egg production with age at sexual maturity, body weight and egg weight. For this purpose, it was designed to evaluate the relationship between two sets of variables of laying hens: egg numbers at three different periods as the first set of variables (Y) and age at sexual maturity, body weight, egg weight as the second set of variables (X) by using canonical correlation analysis. Estimated canonical correlations between the first and the second pair of canonical variates were significant (P &lt; 0.01). Canonical weights and loadings from canonical correlation analysis indicated that age at sexual maturity had the largest contribution as compared with body weight and egg weight to variation of the number of egg productions at three different periods. &nbsp;

Home Environment and Adjustment in Families with Handicapped Children: A Canonical Correlation Study

1987 ◽  
Vol 7 (2) ◽  
pp. 67-82
Author(s):  
Paul Petersen ◽  
Richard L. Wikoff
Keyword(s):  
Socioeconomic Status ◽  
Home Environment ◽  
Canonical Correlation ◽  
Subjective Assessment ◽  
Correlation Study ◽  
Handicapped Child ◽  
Handicapped Children ◽  
Canonical Correlations ◽  
Environment Variables ◽  
The Family

The hypothesis that adjustment within the family of a handicapped child is due to more than just the presence of the child was investigated using canonical correlation. Five borne environment variables—handicapped-related events, resources available, severity of symptoms, other sources of stress, and socioeconomic status—and three adjustment variables—subjective assessment of the child's presence, marital adjustment, and maternal health—were used. Data were collected from 105 mothers of handicapped children. Two significant variates emerged with canonical correlations of .776 and .447. The total redundancy for the adjustment variables across both variates was .346. For the environment variables, the total redundancy was .251. The resources available and the number of handicapped-related events were the most important environment variables, and socioeconomic status was the least important.

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