scholarly journals Plant Genetic Diversity: Statistical Methods for Analyzing Distribution and Diversity of Species

2016 ◽  
pp. 189-203
Author(s):  
M Singh ◽  
A Damania ◽  
Y Chaubey
Keyword(s):  
Genetic Diversity ◽  
Statistical Methods

scholarly journals Application of various statistical methods to analyze genetic diversity of Austrian (Pinus nigra Arn.) and Scots pine (Pinus sylvestris L.) based on protein markers

Genetika ◽  
2011 ◽  
Vol 43 (3) ◽  
pp. 477-486 ◽  
Author(s):  
Aleksandar Lucic ◽  
Vasilije Isajev ◽  
Ljubinko Rakonjac ◽  
Milan Mataruga ◽  
Vojka Babic ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Pinus Sylvestris ◽  
Statistical Methods ◽  
Scots Pine ◽  
Correspondence Analysis ◽  
Pinus Nigra ◽  
Genetic Distances ◽  
Protein Markers ◽  
Observation Units ◽  
Precise Understanding

This paper presents the results of studies on protein polymorphism in seeds of Scots pine (Pinus sylvestris L.) and Austrian pine (Pinus nigra Arn.) as the most important economic species of the genus Pinus in Serbia. Polymorphism of protein markers was determined in selected genotypes originating from seven populations (Scots pine) and six populations (Austrian pine). Analysis of protein markers was performed using two statistical methods, NTSYS and correspondence analysis. Both methods give the same arrangement of the analyzed populations, whereby, because of a different view of genetic distances, they can and should be combined, enabling easier and more precise understanding of mutual relationships of the observation units.

scholarly journals Application of Statistical Methods for Evaluation of Local Phaseolus vulgaris L. Experimental Data

2013 ◽  
Vol 14 (3) ◽  
pp. 421
Author(s):  
Nikolaya Velcheva ◽  
Liliya Krasteva ◽  
Petar Chavdarov ◽  
Stefan Neykov
Keyword(s):  
Experimental Data ◽  
Genetic Diversity ◽  
Phaseolus Vulgaris ◽  
Statistical Methods ◽  
Climatic Conditions ◽  
Initial Material ◽  
Phaseolus Vulgaris L ◽  
Cooperation Project ◽  
Vegetable Field ◽  
Bilateral Cooperation

Beans are a traditional crop grown almost anywhere in the country. The local forms are well adapted to specific agro-climatic conditions in the growing areas and are an interesting initial material for selection programs. The aim of the study is the implementation of statistical methods for evaluation of genetic diversity in the local Phaseolus vulgaris L. collection and to indicate correlation relationships between the studied parameters and economical characteristics. The included genotypes were collected from expeditions by bilateral cooperation project with China. The experiment was conducted in the vegetable field of IPGR, Sadovo. Plants are characterized by quantitative and qualitative indicators, according to the International descriptor of IBPGRI (1982). The results indicate genetic diversity in the studied collection and correlation relationships between the studied parameters and yield per plant.

Statistics and parallaxes

1978 ◽  
Vol 48 ◽  
pp. 7-29
Author(s):  
T. E. Lutz
Keyword(s):  
Experimental Design ◽  
Statistical Methods ◽  
Review Paper ◽  
Systematic Errors ◽  
Past Experience ◽  
Random Errors ◽  
Trigonometric Parallaxes ◽  
Systematic And Random Errors

This review paper deals with the use of statistical methods to evaluate systematic and random errors associated with trigonometric parallaxes. First, systematic errors which arise when using trigonometric parallaxes to calibrate luminosity systems are discussed. Next, determination of the external errors of parallax measurement are reviewed. Observatory corrections are discussed. Schilt’s point, that as the causes of these systematic differences between observatories are not known the computed corrections can not be applied appropriately, is emphasized. However, modern parallax work is sufficiently accurate that it is necessary to determine observatory corrections if full use is to be made of the potential precision of the data. To this end, it is suggested that a prior experimental design is required. Past experience has shown that accidental overlap of observing programs will not suffice to determine observatory corrections which are meaningful.

Review of Statistical Methods for Rates and Proportions.

1973 ◽  
Vol 18 (11) ◽  
pp. 562-562
Author(s):  
B. J. WINER
Keyword(s):  
Statistical Methods

Review of Statistical Methods in Education and Psychology.

1996 ◽  
Vol 41 (12) ◽  
pp. 1224-1224
Author(s):  
Terri Gullickson
Keyword(s):  
Statistical Methods

Review of Statistical methods in education and psychology.

1979 ◽  
Vol 24 (6) ◽  
pp. 536-536
Author(s):  
JOHN W. COTTON
Keyword(s):  
Statistical Methods
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