scholarly journals BIOMETRICAL-STATISTICAL ANALYSIS OF THE GEOGRAPHIC VARIABILITY OF APIS MELLIFERA L. I. Material and Methods

Apidologie ◽  
1978 ◽  
Vol 9 (4) ◽  
pp. 363-381 ◽  
Author(s):  
F. RUTTNER ◽  
Lucienne TASSENCOURT ◽  
J. LOUVEAUX
Keyword(s):  
Statistical Analysis ◽  
Apis Mellifera ◽  
Geographic Variability

scholarly journals The Effects of Some Drugs Used to Treat Honeybee (Apis mellifera L.) Diseases and Pests on Lifespan of Honeybees

2017 ◽  
Vol 5 (7) ◽  
pp. 720
Author(s):  
Duran Özkök ◽  
Ethem Akyol
Keyword(s):  
Statistical Analysis ◽  
Apis Mellifera ◽  
Variance Analysis ◽  
Control Group ◽  
Analysis Method ◽  
Control Groups ◽  
Average Lifespan ◽  
Group A ◽  
Observation Hive ◽  
And Control

This study was conducted to determine the effects of Bayvarol®, Fumidil-B®, Neo-Terramycin® on adult honeybee lifespan. Total twenty honeybee colonies were used and randomly divided into four groups (each group consisted of five colonies). Experimental groups: Bayvarol ®, Fumidil-B® and Neo-Terramycin® were treated to first, second and third groups, respectively. No treatment was done to forth group taken as control group. A hundred one day old worker bees were taken from each group and marked with different colors and numbered on the thorax. After the marked, all worker bees were given into the observation hive. Marked worker bees were controlled and counted daily. Statistical analysis of data was done by variance analysis method and between groups comparisons were done with Duncan's multiple range tests. Average lifespans of the first, second, third and control groups were 44.97±4.90, 46.86±6.56, 45.38±6.12 and 47.72±6.06 days, respectively. There were found statistically significant differences among average lifespan of first, second, third and control groups (P

scholarly journals Modelos matemáticos aplicados no crescimento de colméias de Apis mellifera l. No cariri paraibano.

2009 ◽  
Vol 60 (229) ◽  
pp. 137-140
Author(s):  
D. N. Souza ◽  
A. Evangelista-Rodrigues ◽  
G. R. B. Cruz ◽  
M. L. Rodrigues ◽  
M. C. Silva ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Apis Mellifera ◽  
Statistical Analysis System ◽  
Analysis System

Buscando avaliar a potencialidade da apicultura no Cariri Paraibano, objetivou-se a utilização de modelos matemáticos adequados para estimar o crescimento das colônias. Os dados foram tomados semanalmente com a pesagem de ninhos de 20 colméias instaladas na Estação Experimental de São João do Cariri (CCA/UFPB). A estimativa dos parâmetros foi feita por meio de regressões não-lineares, pelo procedimento NLIN do programa SAS (Statistical Analysis System), utilizando-se o método modificado de Gauss-Newton. Para a escolha do melhor modelo, utilizou-se número de interações, o coeficiente de determinação () e o gráfico de distribuição de resíduo. Entre os modelos estudados, o que apresentou melhor ajuste foi a quadrático logarítmico.

Statistical analysis of the characteristics complex of Apis mellifera caucasica Gorb

2013 ◽  
pp. 29-33
Author(s):  
L.Ya. Moreva ◽  
I.A. Morev ◽  
A.V. Abramchuk ◽  
L.S. Pimakhova ◽  
M.A. Kozub
Keyword(s):  
Statistical Analysis ◽  
Apis Mellifera ◽  
Apis Mellifera Caucasica

scholarly journals Variability of enzymatic systems in natural populations of Anthyllis vulneraria s. 1. from three geographic regions of Poland. Part II. Geographic variability of enzymatic systems in six woundwort populations

2015 ◽  
Vol 48 (4) ◽  
pp. 575-593
Author(s):  
Andrzej Kalinowski ◽  
Zygmunt Kaczmarek ◽  
Sławomir Bartkowiak
Keyword(s):  
Statistical Analysis ◽  
Phenolic Compounds ◽  
Natural Populations ◽  
Morphological Features ◽  
Geographic Variability ◽  
Enzyme Systems ◽  
Anthyllis Vulneraria ◽  
Enzymatic Systems ◽  
Geographic Regions ◽  
Two Populations

Differences between populations of <i>Anthyllis vulneraria</i> s.l. from three distinct geographic regions of Poland for four enzyme systems showed different variability and various patterns of isoenzymes. The smallest differences between populations from similar habitats were found for two populations from dune. Data from statistical analysis of enzyme variation in the examined natural populations of <i>Anthyllis vulneraria</i> were correlated with data of statistical analyses of morphological features, features of flowers, and analyses of phenolic compounds.

scholarly journals Hygroregulation, a key ability for eusocial insects: Native Western European bees as a case study

2018 ◽  
Author(s):  
Iris Eouzan ◽  
Lionel Garnery ◽  
M. Alice Pinto ◽  
Damien Delalande ◽  
Cátia J. Neves ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Apis Mellifera ◽  
Evolutionary History ◽  
Physical Factors ◽  
Pupal Development ◽  
Eusocial Insects ◽  
History Of ◽  
Western European ◽  
One Year

AbstractSociality has brought many advantages to various hymenoptera species, including their ability of regulating physical factors in their nest (e.g., temperature). Although less studied, humidity is known to be important for egg, larval and pupal development. Two subspecies of Apis mellifera of the M branch, also called black bees, were used as models to test the “hygroregulation hypothesis”, by means of monitoring hygrometry in hives during one year in four conservation centers: two in France (A. m. mellifera) and two in Portugal (A. m. iberiensis). We investigated the ability of both subspecies to regulate the hygrometry daily, but also during the seasons and one complete year. Our data and statistical analysis probed the capacity of the bees to regulate humidity in their hive, regardless of the day, season or subspecies. Furthermore, the study showed that humidity in beehives is very stable even during winter, when brood is absent, and when temperature is known to be less stable in the beehives. These results would support that hygrometry could prevail over temperature in maintaining nest homeostasis, maybe because of a bigger importance of hygrometry for all the population during a year, or because of the ‘imprint’ of the evolutionary history of this hymenopteran lineage.

Statistical analysis of classification

1966 ◽  
Vol 24 ◽  
pp. 188-189
Author(s):  
T. J. Deeming
Keyword(s):  
Multivariate Analysis ◽  
Statistical Analysis ◽  
Classification Scheme ◽  
Analytical Procedure ◽  
Narrow Band ◽  
Scientific Research ◽  
Maximum Amount ◽  
Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

Quantitative parallel EELS spectrum imaging developed as a new tool in AEM

1992 ◽  
Vol 50 (2) ◽  
pp. 1202-1203
Author(s):  
Gianluigi Botton ◽  
Gilles L'espérance
Keyword(s):  
Statistical Analysis ◽  
Spatial Resolution ◽  
Personal Computer ◽  
Systematic Study ◽  
Present Author ◽  
Chemical Elements ◽  
Detection Limits ◽  
Research Groups ◽  
Quantitative Performance ◽  
Spectrum Imaging

As interest for parallel EELS spectrum imaging grows in laboratories equipped with commercial spectrometers, different approaches were used in recent years by a few research groups in the development of the technique of spectrum imaging as reported in the literature. Either by controlling, with a personal computer both the microsope and the spectrometer or using more powerful workstations interfaced to conventional multichannel analysers with commercially available programs to control the microscope and the spectrometer, spectrum images can now be obtained. Work on the limits of the technique, in terms of the quantitative performance was reported, however, by the present author where a systematic study of artifacts detection limits, statistical errors as a function of desired spatial resolution and range of chemical elements to be studied in a map was carried out The aim of the present paper is to show an application of quantitative parallel EELS spectrum imaging where statistical analysis is performed at each pixel and interpretation is carried out using criteria established from the statistical analysis and variations in composition are analyzed with the help of information retreived from t/γ maps so that artifacts are avoided.

Sign in / Sign up

Export Citation Format

Share Document