scholarly journals Variability and heredity of some qualitative and quantitative grapevine characteristics

Genetika ◽  
2018 ◽  
Vol 50 (2) ◽  
pp. 549-560
Author(s):  
Dragan Nikolic ◽  
Tijana Banjanin ◽  
Zorica Rankovic-Vasic
Keyword(s):  
Standard Deviation ◽  
Botrytis Cinerea ◽  
Coefficient Of Variation ◽  
Sugar Content ◽  
Plasmopara Viticola ◽  
Berry Skin ◽  
Qualitative And Quantitative ◽  
Leaf Resistance ◽  
Grape Yield ◽  
F1 Generation

Variability and mode of heredity of some important qualitative and quantitative grapevine characteristics in 45 seedlings of F1 generation obtained from crossing combination Seedling 113 x Muscat Hamburg were investigated in this study. The seedlings of F1 generation for the investigated characteristics were arranged in certain number of categories by the OIV method. As variability indexes, standard deviation (S) and coefficient of variation (V) were used. Evaluation of the mode of heredity was done by ?2 test and t-test. Considering examined characteristics, the highest variability showed grape yield (V=58.9%), and the lowest sugar content in must (V=16.3%). Color of berry skin, cluster resistance to Botrytis cinerea and leaf resistance to Plasmopara viticola showed monogenic mode of heredity. Exception from the monogenic mode of heredity was determined for the flavor of berry. Grape yield, bunch weight and berry weight showed negative heterosis. For the sugar content in must, domination of the parent with low sugar content in must was determined.

scholarly journals Components of variance and heritability of resistance to important fungal diseases agents in grapevine

2006 ◽  
Vol 51 (1) ◽  
pp. 47-54 ◽  
Author(s):  
Dragan Nikolic
Keyword(s):  
Botrytis Cinerea ◽  
Analysis Of Variance ◽  
Phenotypic Variation ◽  
Genetic Variance ◽  
Plasmopara Viticola ◽  
Fungal Diseases ◽  
Components Of Variance ◽  
Leaf Resistance ◽  
Total Variability

In four interspecies crossing combinations of grapevine (Seedling 108 x Muscat Hamburg, Muscat Hamburg x Seedling 108, S.V.I8315 x Muscat Hamburg and Muscat Hamburg x S.V.I2375) during three years period, resistance to important fungal diseases agents (Plasmopara viticola and Botrytis cinerea) were examined. Based on results of analysis of variance, for investigated characteristics, components of variance, coefficients of genetic and phenotypic variation and coefficient of heritability in a broader sense were calculated. It was established that for both characteristics and in all crossing combinations, genetic variance took the biggest part in total variability. The lowest coefficients of genetic and phenotypic variation were established for both properties in crossing combination Seedling 108 x Muscat Hamburg. The highest coefficients of genetic and phenotypic variation were determined for leaf resistance to Plasmopara viticola in crossing combination Muscat Hamburg x S.V.I2375, and for bunch resistance to Botrytis cinerea in crossing combination Muscat Hamburg x Seedling 108. Considering all investigated crossing combinations, coefficient of heritability for leaf resistance to Plasmopara viticola was from 87.23% to 94.88%, and for bunch resistance to Botrytis cinerea from 88.04% to 93.32%. .

scholarly journals Classification of the coefficient of variation to variables in beef cattle experiments

2017 ◽  
Vol 47 (11) ◽  
Author(s):  
Marcos André Braz Vaz ◽  
Paulo Santana Pacheco ◽  
Enio Júnior Seidel ◽  
Angela Pellegrin Ansuj
Keyword(s):  
Standard Deviation ◽  
Beef Cattle ◽  
Coefficient Of Variation ◽  
Theses And Dissertations

ABSTRACT: This research was conducted to propose a classification of the coefficient of variation (CV%) in many categories of variables of production and carcass of beef cattle experiments. The data was collected from theses and dissertations. We used the methods of classification considering mean and standard deviation, and considering median and pseudo-sigma. The two methods showed similar results so both can be used to classify CV%. We propose only three categories to rank CV%: low, medium and high.

scholarly journals Sugar accumulation in winter wheat crops depending on the sowing dates

2019 ◽  
Vol 49 (2) ◽  
pp. 27-33
Author(s):  
S. I. Anosov ◽  
A. S. Surnachev ◽  
K. K. Musinov
Keyword(s):  
Winter Wheat ◽  
Coefficient Of Variation ◽  
Sugar Content ◽  
Weather Conditions ◽  
Sugar Accumulation ◽  
Planting Dates ◽  
Air Temperatures ◽  
Sowing Dates ◽  
Soft Winter Wheat ◽  
Growing Conditions

The object of the research was to study the influence of sowing dates on sugar accumulation in different varieties of soft winter wheat. Less winterhardy variety of soft winter wheat Novosibirskaya 2 was compared with more winter-hardy ones Novosibirskaya 3, Novosibirskaya 40 and Krasnoobskaya ozimaya. The research was carried out in 2016-2018 inthe established experimental plot in the foreststeppe of Priobye, theObregion. The predecessor was bare fallow. The planting dates were August 20, September 1, September 10. Weather conditions of the autumn growing season, during which the accumulation of sugars occurs, differed significantly depending on the year of study and the sowing dates. The warmest conditions were in 2018, whereas the coolest – in 2017. The amount of accumulated sugars varied depending on the growing conditions and genotypic characteristics of varieties. The highest amount of sugars was accumulated by all varieties during the third term of planting, the lowest amount – during the second term. Lower air temperatures contributed to the increase in the amount of sugars, even when the duration of their accumulation period was shortened, which can be explained by a change in carbohydrate balance in crops when the accumulation of sugars is greater than their consumption for crop respiration. The genotype plays an important role in the carbohydrate metabolism of plants. In more winter-hardy varieties (Novosibirskaya 40, Novosibirskaya 3), the change in the amount of accumulated sugars in contrasting conditions ranged insignificantly (the coefficient of variation was 9.1 and 8.7%, respectively). At the same time, plants of the less winter-hardy variety of Novosibirskaya 2 showed a significantly greater variation in the sugar content under similar conditions (the coefficient of variation 24.7%). Cooler conditions of a later term of sowing contributed to the greatest amount of accumulated sugars. Varietal differences also determined changes in carbohydrate balance.

On the Measurement of Participation Equality

2014 ◽  
Vol 10 (4) ◽  
pp. 32-48 ◽  
Author(s):  
Bruce A. Reinig ◽  
Roberto J. Mejias
Keyword(s):  
Standard Deviation ◽  
Gini Coefficient ◽  
Coefficient Of Variation ◽  
Exploratory Study ◽  
Support Systems ◽  
Collaborative Work ◽  
Group Support Systems ◽  
Group Support ◽  
Work Practices ◽  
Team Members

Participation equality is often a key process construct in research models that examine the effects of group support systems (GSS) technology and e-collaboration. GSS are generally thought to reduce the dispersion of participation among team members and thus make participation more equally distributed. However, research conclusions in the literature regarding participation equality are not always consistent with this finding. Researchers have used a variety of approaches to operationalize participation equality including unit-based measures, such as the standard deviation, and dimensionless measures such as the Gini coefficient and the coefficient of variation. Researchers have also varied in their measurement of participation units with some counting phenomena such as comments, words, or remarks. The authors report on an exploratory study that demonstrates conditions in which research conclusions regarding the participation equality construct are dependent on both the participation unit analyzed and whether a unit-based or dimensionless measure is used to compute participation equality. The authors conclude with recommendations for researchers investigating participation equality and practitioners that seek to measure and track participation equality in their collaborative work practices.

Measuring the variance of customer waiting time in service operations

2014 ◽  
Vol 52 (2) ◽  
pp. 296-312 ◽  
Author(s):  
Xiaofeng Zhao ◽  
Jianrong Hou ◽  
Kenneth Gilbert
Keyword(s):  
Standard Deviation ◽  
Waiting Time ◽  
Coefficient Of Variation ◽  
Service Operations ◽  
Exact Expression ◽  
Service Industries ◽  
Significant Feature ◽  
Content Type ◽  
Queuing Models ◽  
Spreadsheet Model

Purpose – Waiting lines and delays have become commonplace in service operations. As a result, customer waiting time guarantee is a widely used competition strategy in service industries. To implement waiting time guarantee strategy, managers need to not only know the average of waiting time, but also the variance around average waiting time. This paper aims to discuss these issues. Design/methodology/approach – This research provides a mathematically exact expression for the coefficient of variation of waiting time for Markov queues. It then applies the concept of isomorphism to approximate the variance of customer waiting time in a general queue. Simulation experiments are conducted to verify the accurate approximations. Findings – A significant feature of the approximation method is that it is mathematically tractable and can be implemented in a spreadsheet format. It provides a practical way to estimate the variance of customer waiting time in practice. The results demonstrate the usefulness of the queuing models in providing guidance on implementing appointment scheduling and waiting time guarantee strategy. Also, the spreadsheet can be used to conduct what-if analysis by inputting different parameters. Originality/value – This paper develops a simple, easy-to-use spreadsheet model to estimate the standard deviation of waiting time. The approximation requires only the mean and standard deviation or the coefficient of variation of the inter-arrival and service time distributions, and the number of servers. A spreadsheet model is specifically designed to analyze the variance of waiting time.

Grape berry skin features related to ontogenic resistance to Botrytis cinerea

2009 ◽  
Vol 125 (4) ◽  
pp. 551-563 ◽  
Author(s):  
Christelle Deytieux-Belleau ◽  
Laurence Geny ◽  
Jean Roudet ◽  
Valérie Mayet ◽  
Bernard Donèche ◽  
...  
Keyword(s):  
Botrytis Cinerea ◽  
Grape Berry ◽  
Berry Skin ◽  
Ontogenic Resistance

Collaborative Study of Gas-Liquid Chromatographic Method for Determining Fluometuron

1977 ◽  
Vol 60 (3) ◽  
pp. 716-719
Author(s):  
Arthur H Hofberg ◽  
Lee C Heinrichs ◽  
V Michael Barringer ◽  
Maung Tin ◽  
Gene A Gentry
Keyword(s):  
Liquid Chromatography ◽  
Standard Deviation ◽  
Coefficient Of Variation ◽  
Collaborative Study ◽  
Internal Standard ◽  
Relative Difference ◽  
Peak Height ◽  
Matched Pair ◽  
Flame Ionization ◽  
Liquid Chromatographic

Abstract A gas-liquid chromatographic (GLC) method for determining fluometuron in a wettable powder formulation containing about 80% active ingredient was collaboratively studied using a matched pair scheme. The samples were dissolved in chloroform containing diethyl phthalate as an internal standard, derivatized with trifluoroacetic anhydride, and chromatographed on OV-3, using a flame ionization detector. Analyses of the 2 samples by 14 collaborators, using peak height measurements, showed the following results: 0.99% overall coefficient of variation, 1.08% coefficient of variation for the random error, and no evidence of systematic error. The validity of these results was verified by a concurrent collaborative effort using high pressure liquid chromatography. Analyses of the 2 samples by 8 collaborators, using peak height measurements, showed a 1.17 standard deviation of the total for liquid chromatography vs. 0.76 standard deviation of the total for GLC. The averages for Sample A and Sample B by liquid chromatography showed a relative difference of 0.19 and 0.00%, respectively, when compared with the results by the GLC method. The GLC method has been adopted as official first action.

Effects of diabetes duration and HgA1C level on corneal endothelial morphology

2020 ◽  
pp. 112067212091481
Author(s):  
Salih Çolak ◽  
Burcu Kazanci ◽  
Dilek Ozçelik Soba ◽  
Yasemin Ozdamar Erol ◽  
Pelin Yilmazbas
Keyword(s):  
Diabetes Mellitus ◽  
Diabetic Retinopathy ◽  
Endothelial Cell ◽  
Standard Deviation ◽  
Proliferative Diabetic Retinopathy ◽  
Coefficient Of Variation ◽  
Corneal Thickness ◽  
Healthy Individuals ◽  
Significant Difference ◽  
Corneal Endothelial Cell Density

Objective: The aim of this study is to investigate the effects of the HbA1c level and the duration of diabetes mellitus on the corneal endothelium morphology and to compare between healthy individuals and diabetes mellitus patients with non-proliferative diabetic retinopathy and proliferative diabetic retinopathy. Material and methods: Ninety patients who applied to the Health Sciences University Ulucanlar Eye Training and Research Hospital between January 2016 and January 2017 were included in this prospective randomized study. In the study, 45 diabetes mellitus patients and 45 healthy individuals were evaluated. The diabetes patients were compared in terms of HbA1c level, diabetes mellitus duration, corneal endothelial cell density, coefficient of variation, standard deviation, and hexagonality with healthy control group. Results: A statistically significant difference was found in the endothelial cell densitometer, coefficient of variation, and standard deviation measurements between the diabetes mellitus patients and the control (healthy) group. But, there was no statistically significant difference between 6A (hexagonality) and central corneal thickness measurements. There was a negative correlation between HbA1c levels and diabetes mellitus times and endothelial cell densitometer values in the patients with diabetes mellitus diagnosis and standard deviation values in the positive direction. There was a statistically significant difference between diabetes mellitus patients with the diagnosis of non-proliferative diabetic retinopathy and proliferative diabetic retinopathy in the endothelial cell densitometer and standard deviation values. But there was not any statistically significant difference between coefficient of variation, 6A, and central corneal thickness values. Conclusion: The endothelial cell densitometer in diabetes mellitus patients with retinopathy is lower than that in healthy individuals. There is a negative correlation between retinopathy severity and corneal endothelial cell density. Diabetes affects negatively not only vascular tissues but also avascular cornea.

Sign in / Sign up

Export Citation Format

Share Document