scholarly journals Adaptivity of sweet pepper varieties cultivated in the Astrakhan region

2021 ◽  
Vol 16 (1) ◽  
pp. 30-41
Author(s):  
Elena Georgievna Myagkova
Keyword(s):  
Standard Deviation ◽  
Agricultural Production ◽  
Regression Coefficient ◽  
Regression Line ◽  
Sweet Pepper ◽  
Cultivation Conditions ◽  
Natural Conditions ◽  
High Productivity ◽  
Cultivation Technology ◽  
Variety Testing

In agricultural production, it is important not only to achieve a high productivity, but also to ensure its stability. To obtain high and stable yields, it is necessary to have information on the adaptability of crops varieties and hybrids to a specific cultivation zone. The article analyzes the results of the field experiment on the variety testing of sweet pepper. To assess the variety for adaptability to natural conditions and cultivation technology in the Astrakhan region, such parameters as plasticity and stability of the variety were used. To characterize the ecological plasticity, the regression coefficient bi was determined, which characterizes response of the cultivar to changes in cultivation conditions. To characterize the parameter of stability, the standard deviation from the regression line 2d. was calculated. All calculations were carried out according to S.A. Eberhart, W.A. Russell as presented by V.Z. Pakudin.

scholarly journals The Marketing Mix Affect on the Consumer Buying Decision (Case Study of Sausage Products at PT. Aroma Denpasar)

2017 ◽  
Vol 1 (2) ◽  
pp. 65
Author(s):  
I Made Jaminyasa ◽  
I Made Pulawan ◽  
Anak Agung Media Martadiani ◽  
I Made Suniastha Amerta
Keyword(s):  
Linear Regression ◽  
Product Quality ◽  
Regression Coefficient ◽  
Regression Line ◽  
Positive Influence ◽  
Marketing Mix ◽  
T Test ◽  
Rejection Region ◽  
Line Equation

The more intense competition within the similar business as well as happened in the business of making sausages, especially in Denpasar city. PT. Aroma was one of the companies in Denpasar that produces sausages, corned beef, and nuggets. In an effort to attract consumers to buy sausages, companies pay attention to product quality, price, and promotion. The attitude of each consumer varies before buying and in buying products. Consumer considerations in buying the products that need to be considered by marketers, so that products that are marketed can be accepted and would be bought by the consumers. The linear regression line equation: Y = 0.1920 + 0.2145 X1 + 0.2592 X2 + 0.3828 X3 explains that there was a simultaneous positive influence between product quality, price, and promotion on the buying decision of sausage. The result of t-test of regression coefficient obtained t1-count was 3,3628, t2-count was 3,9879 and t3-count was 6,2641 bigger than t-table equal to 1,980 was in rejection region Ho, hence Ho rejected or Hi accepted. It meant it was true, that there was a positive influence simultaneously between the marketing mix and the consumer buying decision.

scholarly journals ECOLOGICAL-GEOGRAPHIC APPROACHES TO THE STUDY OF GENETIC DIVERSITY OF BARLEY AND OAT FROM THE VIR COLLECTION

2020 ◽  
Author(s):  
Igor Loskutov ◽  
Lubov Novikova ◽  
Olga Kovaleva ◽  
Nadezhda Ivanova ◽  
Elena Blinova ◽  
...  
Keyword(s):  
Environmental Conditions ◽  
Growing Season ◽  
Regression Coefficients ◽  
Cultivation Conditions ◽  
High Productivity ◽  
Sum Of Effective Temperatures ◽  
Economically Valuable Traits ◽  
Effective Temperatures ◽  
The Stability ◽  
Selection Of

Under conditions of climate change, the assessment of the stability of genotypes is of particular importance. To conduct directed selection of genotypes with a narrow or broad reaction rate, it is necessary to assess their stability already in the early stages of breeding. The aim of the study was to study the stability of breeding significant traits of oat and barley samples in contrasting ecological and geographical conditions. 25 oat samples and 25 barley samples were studied over 3 years under contrasting conditions in St. Petersburg and the Tambov region. Varieties are characterized by average values of economically valuable traits and genotype regression coefficients on the influence of the bi environment according to Eberhart and Russell. The most sensitive to a change in the ecological and geographical situation were the durations of the germination-heading, germination-harvest periods and grain yield. These characters varied to a greater extent depending on the cultivation conditions than on the genotype. According to regression coefficients for environmental conditions, significant differences in genotypes were only in yield. Contrasting groups of varieties were distinguished by regression coefficients on environmental conditions, genotypes with high productivity. The durations of germination-heading, germination-harvest, the plant height reacted to the change in the environment the same in different varieties. The duration of the growing season was determined by the sum of effective temperatures above 15C. The reduction of the growing season in both crops was 3 days with an increase in the sum of effective temperatures above 15C by 100C.

THE ROLE OF THE SYSTEM OF PASTURE TERMS AND TOPONYMS OF SARYARKA IN DETERMINING LANDSCAPE FEATURES

2021 ◽  
Vol 101 (2) ◽  
pp. 52-62
Author(s):  
A.Ye. Yeginbayeva ◽  
◽  
K.T. Saparov ◽  
Z.K. Myrzalieva ◽  
M.A. Aralbekova ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Agricultural Production ◽  
Animal Husbandry ◽  
Land Resources ◽  
Natural Conditions ◽  
Cattle Breeding ◽  
Urgent Task ◽  
Key Issues ◽  
Effective Use

In market conditions, one of the key issues of management is the effective use of available natural resources. In agricultural production, these are the problems of using land resources. An urgent task is the rational use of pasture resources according to the seasons of the year for the management of pasture cattle breeding. The article considers the reflection in geographical names of pasture names and terms used in traditional animal husbandry, which provide important information about the features of the landscape. In addition, the regularities of the use of natural conditions by the ethnic group that inhabited this territory, the spatial distribution of pasture terms characteristic ofa particular landscape are determined.

Incorrect least-squares regression coefficients in method-comparison analysis.

1979 ◽  
Vol 25 (3) ◽  
pp. 432-438 ◽  
Author(s):  
P J Cornbleet ◽  
N Gochman
Keyword(s):  
Standard Deviation ◽  
Least Squares ◽  
Least Squares Method ◽  
Regression Line ◽  
Method Comparison ◽  
Regression Coefficients ◽  
Least Squares Regression ◽  
Data Set ◽  
Data Points ◽  
Regression Slopes

Abstract The least-squares method is frequently used to calculate the slope and intercept of the best line through a set of data points. However, least-squares regression slopes and intercepts may be incorrect if the underlying assumptions of the least-squares model are not met. Two factors in particular that may result in incorrect least-squares regression coefficients are: (a) imprecision in the measurement of the independent (x-axis) variable and (b) inclusion of outliers in the data analysis. We compared the methods of Deming, Mandel, and Bartlett in estimating the known slope of a regression line when the independent variable is measured with imprecision, and found the method of Deming to be the most useful. Significant error in the least-squares slope estimation occurs when the ratio of the standard deviation of measurement of a single x value to the standard deviation of the x-data set exceeds 0.2. Errors in the least-squares coefficients attributable to outliers can be avoided by eliminating data points whose vertical distance from the regression line exceed four times the standard error the estimate.

Relation between oxygen consumption and pressure-volume area of in situ dog heart

1987 ◽  
Vol 253 (1) ◽  
pp. 1-1 ◽  
Author(s):  
T. Nozawa ◽  
Y. Yasumura ◽  
S. Futaki ◽  
N. Tanaka ◽  
Y. Igarashi ◽  
...  
Keyword(s):  
Oxygen Consumption ◽  
Standard Deviation ◽  
Degrees Of Freedom ◽  
Regression Line ◽  
Computer Software ◽  
Confidence Limits ◽  
Sampled Data ◽  
Dog Heart ◽  
Data Points

Page H31: T. Nozawa, Y. Yasumura, S. Futaki, N. Tanaka, Y. Igarashi, Y. Goto, and H. Suga. “Relation between oxygen consumption and pressure-volume area of in situ dog heart.” Page H37: Fig. 6: Although the last sentence of the legend states “Solid lines are linear regression lines, and inner and outer pairs of dashed curves around them are 95% confidence limits of regression lines and data points, respectively,” these dashed lines show one standard deviation of both the slope of the regression line and the sampled data from the regression line. The authors forgot to multiply these standard deviation values by t value (2.069 for degrees of freedom = 23) for P le 0.05 in the computer software to obtain the 95% confidence limits. The other statistical results in Fig. 6 are correct.

scholarly journals Agroecological estimation of the new soybean lines developed in the Agricultural Research Center “Donskoy”

2020 ◽  
pp. 7-11 ◽  
Author(s):  
A. R. Ashiev ◽  
K. N. Khabibullin ◽  
M. V. Skulova
Keyword(s):  
Computer Technology ◽  
Statistical Data ◽  
Agricultural Research ◽  
Vegetation Period ◽  
Research Center ◽  
Cultivation Conditions ◽  
Seed Productivity ◽  
Speed Up ◽  
Early Ripening ◽  
Variety Testing

The current paper has presented a material on agroecological estimation of the new soybean lines developed in the Agricultural Research Center “Donskoy”. As a result of the competitive variety testing in 2017–2019, five soybean lines of the middle-early ripening group were selected with a vegetation period less than 120 days, exceeding the standard variety “Don 21” in seed productivity. The temperature and water conditions during the years of study were different, which allowed evaluating the lines in contrasting cultivation conditions. Statistical data processing was carried out by B. A. Dospekhov’s analysis of variance (2012). Agroecological estimation of the new soybean lines was carried out according to S. A. Eberhart and W. A. Russell’s method (1984) and according to V. V. Khangildin’s method (1984). Based on the conducted study, there were identified the lines “L-1016” and “L-1017”, which are characterized by stabile productivity, and the lines “L-1001”, “L-1012” and “L-1013” which are responsive to the improvement of the agricultural background. The identified soybean lines “L-1016” and “L-1017” will be used in future breeding as the sources of adaptability, and the lines “L-1001”, “L-1012” and “L1013” to develop varieties of intensive type. Comparing the time cost, the need for computer technology to carry out calculations according to the methods of agroecological estimation proposed by S. A. Eberhart / W. A. Russell and V. V. Khangildin, the first method is more labor-intensive. According to the first method, the indicators of agroecological estimation must be recalculated if the number of samples changes, since they affect the final result of the calculations, but the second method does not need it. It has been recommended when working with a large number of breeding material to use the method proposed by V. V. Khangildin to speed up math calculations in agroecological estimation.

scholarly journals Improving Greenhouse Microclimate Control with the Help of Plant Temperature Measurements

1995 ◽  
Author(s):  
Marcel Fuchs ◽  
Ishaiah Segal ◽  
Ehude Dayan ◽  
K. Jordan
Keyword(s):  
Transfer Functions ◽  
Warm Season ◽  
Sweet Pepper ◽  
Ventilation Rate ◽  
Critical Parameters ◽  
Vegetable Crops ◽  
Climate Control ◽  
High Productivity ◽  
Leaf Resistance ◽  
Layer Resistance

A model of the energy balance of a transpiring crop in a greenhouse was developed in a format suitable for use in climate control algorithms aimed at dissipating excess heat during the warm periods. The model's parameters use external climatic variables as input. It incorporates radiation and convective transfer functions related to the operation of control devices like shading screens, vents, fans and enhanced evaporative cooling devices. The model identified the leaf boundary-layer resistance and the leaf stomatal and cuticular resistance as critical parameters regulating the temperature of the foliage. Special experiments evaluated these variables and established their relation to environmental factors. The research established that for heat load conditions in Mediterranean and arid climates transpiring crops maintained their foliage temperature within the range allowing high productivity. Results specify that a water supply ensuring minimum leaf resistance to remain below 100 s m-1, and a ventilation rate of 30 air exchanges per hour, are the conditions needed to achieve self cooling. Two vegetable crops, tomato and sweet pepper fulfilled maintained their leaf resistance within the prescribed range at maturity, i.e., during the critical warm season. The research evaluates the effects of additional cooling obtained from wet pad systems and spray wetting of foliage.

scholarly journals Loose smut resistance and adaptability of spring soft wheat varieties of VIR collection

2020 ◽  
Vol 21 (1) ◽  
pp. 18-27
Author(s):  
A. V. Kharina ◽  
O. S. Amunova
Keyword(s):  
Plant Genetic Resources ◽  
Total Yield ◽  
Grain Filling ◽  
Soft Wheat ◽  
Loose Smut ◽  
Cultivation Conditions ◽  
Sources Of Resistance ◽  
Wheat Varieties ◽  
High Productivity ◽  
Spring Soft Wheat

In 2013-2019 in the conditions of Kirov region 178 varieties of spring soft wheat from the collection of the Federal Research Center of N.I.Vavilov All-Russian Institute of Plant Genetic Resources (VIR) were studied according to loose smut resistance, plasticity and yield stability. Among studied varieties 36 immune and 12 practically immune to loose smut infestation samples have been revealed. They can be used as sources of resistance in selection. The most favourable conditions for infestation of spring soft wheat plants with loose smut develop since the beginning of blossoming till grain filling. The higher the air temperature and the amount of precipitation during this period, the higher is the percentage of wheat plants affected with this disease. As the percentage of the stems affected by loose smut increased, total yield losses grew as well (r = 0.99). Nineteen varieties of spring wheat significantly exceeded the standard variety Bazhenka (Russia) in yield on an infection background. Five mid-susceptible varieties which showed tolerance to the disease have been selected. They are Tulaykovskaya Nadezhda (Russia), Samgau, Dostyk, Karabalykskaya 91 (Kazakhstan) and Visa (Belarus). During the years the following varieties revealed the highest and stable productivity: Stepnaya 50, Dostyk (Kazakhstan), Kazanskaya Yubileynaya, Niva 2, Provincia, Egisar 29, Sudarushka, Tulaykovskaya Nadezhda (Russia), Hoffman (Canada), UL Pettit (USA) and Leguan (Czechoslovakia). The following varieties were designated as the intensive type: Tyumenskaya 26, Elizaveta, Maria 1, Melodiya, Niva 2 (Russia), Kharkovskaya 10 (Ukraine), Samgau (Kazakhstan), Visa (Belarus), and American varieties Ranger and UL Pettit (b i > 1). Varieties Ranger and UL Pettit showed high productivity in favorable cultivation conditions. Varieties Mazhor (Ukraine), Favorit (Russia) and Karabalykskaya 91(Kazakhstan) (bi<1) should be used on an extensive background. By deterioration of cultivation conditions the productivity of these varieties decreased insignificantly. The relationship between productivity and adaptability parameters has been established (bi , Ноm). The highyielding varieties have been characterized as more plastic (r = 0.69) and stress resistant (r = 0.73).

Linear regression and correlation

2017 ◽  
Author(s):  
Andrew Gelman ◽  
Deborah Nolan
Keyword(s):  
Standard Deviation ◽  
Linear Regression ◽  
Regression Line ◽  
World Population ◽  
Regression To The Mean ◽  
Straight Line ◽  
The Mean ◽  
Line Fitting ◽  
Single Predictor ◽  
Over Time

This chapter addresses the descriptive treatment of linear regression with a single predictor: straight-line fitting, interpretation of the regression line and standard deviation, the confusing phenomenon of “regression to the mean,” correlation, and conducting regressions on the computer. These concepts are illustrated with student discussions and activities. Many examples are of the sort commonly found in statistics textbooks, but the focus here is on how to work the examples into student-participation activities rather than simply examples to be read or shown on the blackboard. Topics include the following relationships: height and income, height and hand span, world population over time, and exam scores.

scholarly journals Base temperature, thermal time and phyllochron of escarole cultivation

2018 ◽  
Vol 36 (4) ◽  
pp. 466-472
Author(s):  
Denise Schmidt ◽  
Braulio O Caron ◽  
Oscar Valera ◽  
Daniela Meira ◽  
Daniele C Fontana ◽  
...  
Keyword(s):  
Standard Deviation ◽  
Coefficient Of Variation ◽  
Regression Coefficient ◽  
Block Design ◽  
Thermal Time ◽  
Base Temperature ◽  
Degree Days ◽  
Randomized Block Design ◽  
Number Of Leaves ◽  
Santa Maria

ABSTRACT The objective of this study was to determine the base temperature of escarole and to apply in the phenological analysis of crop during four growing periods. The study was carried out with escarole (Chicorium endivia) ‘Escarola Lisa’ cultivar, at the Federal University of Santa Maria, campus Frederico Westphalen-RS. The experiment was performed in a randomized block design with four sowing periods (P1: 2/15/2015; P2: 04/29/2015, P3: 07/22/2015, P4: 10/16/2015) and 10 replicates, each replicate being one plant. The evaluations consisted of counting the number of leaves, performed three times a week after transplanting date until the harvesting point. To determine the base temperature, the following methods were used: standard deviation in degree-days (SDgd), standard deviation in days (SDd), coefficient of variation in degree-days (CVgd), coefficient of variation in days (CVd), regression coefficient (RC) and X-intercept. The base temperature for emission of two successive leaves in the escarole is 4.7°C, obtained by values of 4.0 and 5.5°C, observed in the SDgd and RC methods. For two leaves emission, the temperature between 16.6 and 27.8°C day leaf-1 is necessary.

Sign in / Sign up

Export Citation Format

Share Document