scholarly journals Grain yield of repetitive mung bean variety Marjon, after autumn wheat

2021 ◽  
Vol 937 (2) ◽  
pp. 022132
Author(s):  
S H Isaev ◽  
H H Safarova ◽  
M M Najmiddinov ◽  
F N Jumabaev
Keyword(s):  
Soil Moisture ◽  
Grain Yield ◽  
Mung Bean ◽  
Coefficient Of Determination ◽  
Alluvial Soils ◽  
Bean Variety

Abstract The article presents the dependence of mung beans yield on the number of pods and in the care of variety “Marjon” as a recurring crop in alluvial soils of meadows in Bukhara region, equalities are revealed, that is, the coefficient of determination r = 0.6108, the coefficient for determining the mass of beans r = 0.8183, the coefficient of determination of the grain mass r = 0.6431; The coefficient of determination of the number of beans in the Durdona variety r = 0.4415, the coefficient of determination of the weight of beans was r = 0.5954 and it is recommended to sow in the second half of June at the rate of 18 kg/hectare of seeds per hectare and water at the rate of N-60, P-80, K-60 kg/hectare and 70-70-65% of the maximum soil moisture before irrigation.

scholarly journals Soil Water Retention Modeling Using Pedotransfer Functions

2013 ◽  
Vol 2013 ◽  
pp. 1-7
Author(s):  
R. K. Jaiswal ◽  
T. Thomas ◽  
R. V. Galkate ◽  
Jaivir Tyagi
Keyword(s):  
Soil Moisture ◽  
Soil Water ◽  
Water Retention ◽  
Graphical Representation ◽  
Numerical Models ◽  
Pedotransfer Functions ◽  
Coefficient Of Determination ◽  
Soil Water Retention ◽  
Soil Moisture Retention

The unsaturated hydraulic functions are key input data in numerical models of vadose zone processes. The direct measurement of soil moisture at different suction heads requires detailed analysis of soil samples with sophisticated instruments which can be replaced with the help of pedotransfer functions (PTFs) which are empirical relationships between the soil hydraulic properties and the more easily obtainable basic soil properties. The CalcPTF software has been used to compute the parameters of the most commonly used models of Brooks and Corey (BC) and Van Genuchten (VG) from PTFs for determination of soil water retention curves on seventeen sites in the commands of Benisagar and Rangawan reservoirs in Chhatarpur district (MP), India. The parameters of sixteen PTFs have been estimated and results have been compared with observed data using root mean square error (RMSE), coefficient of determination (R2), Radj2, and graphical representation. The PTF of BC model suggested by Rawls and Brakensiek, 1985 (BC-RB), has been found to be the best-fit PTF for sites 1, 2, 5, 6, 10, 11, 14, 15, and 17, where BC model by Saxton et al., 1986 (BC-SEL), can be used for modeling the soil moisture for sites 3, 4, 9, 12, and 16. It may be concluded that the PTF suggested by Rawls and Brakensiek, 1985 (BC-RB), or Saxton et al., 1986 (BC-SEL), can be used for computation of soil moisture retention curves in the region.

Effects of Plastic Mulching Modes on Soil Moisture and Grain Yield in Dryland Winter Wheat

2015 ◽  
Vol 41 (5) ◽  
pp. 787 ◽  
Author(s):  
Shou-Xi CHAI ◽  
Chang-Gang YANG ◽  
Shu-Fang ZHANG ◽  
Heng-Hong CHEN ◽  
Lei CHANG
Keyword(s):  
Soil Moisture ◽  
Winter Wheat ◽  
Grain Yield ◽  
Plastic Mulching

A Simple Spectrofluorometric Method for the Determination of Total Auxins in Mung Bean Sprouts

2020 ◽  
Vol 75 (11) ◽  
pp. 1404-1407
Author(s):  
Aziguli Yigaimu ◽  
Jiahua Chang ◽  
Amina Hoji ◽  
Turghun Muhammad ◽  
Burabiye Yakup ◽  
...  
Keyword(s):  
Mung Bean ◽  
Mung Bean Sprouts ◽  
Spectrofluorometric Method ◽  
Bean Sprouts

scholarly journals Modeling Population Spatial-Temporal Distribution Using Taxis Origin and Destination Data

2021 ◽  
Vol 13 (7) ◽  
pp. 3727
Author(s):  
Fatema Rahimi ◽  
Abolghasem Sadeghi-Niaraki ◽  
Mostafa Ghodousi ◽  
Soo-Mi Choi
Keyword(s):  
Regression Analysis ◽  
Mean Squared Error ◽  
Population Distribution ◽  
Temporal Distribution ◽  
Coefficient Of Determination ◽  
Temporal Modeling ◽  
Location Data ◽  
Time Period ◽  
Proposed Model

During dangerous circumstances, knowledge about population distribution is essential for urban infrastructure architecture, policy-making, and urban planning with the best Spatial-temporal resolution. The spatial-temporal modeling of the population distribution of the case study was investigated in the present study. In this regard, the number of generated trips and absorbed trips using the taxis pick-up and drop-off location data was calculated first, and the census population was then allocated to each neighborhood. Finally, the Spatial-temporal distribution of the population was calculated using the developed model. In order to evaluate the model, a regression analysis between the census population and the predicted population for the time period between 21:00 to 23:00 was used. Based on the calculation of the number of generated and the absorbed trips, it showed a different spatial distribution for different hours in one day. The spatial pattern of the population distribution during the day was different from the population distribution during the night. The coefficient of determination of the regression analysis for the model (R2) was 0.9998, and the mean squared error was 10.78. The regression analysis showed that the model works well for the nighttime population at the neighborhood level, so the proposed model will be suitable for the day time population.

scholarly journals A Multimethod Analysis for Average Annual Precipitation Mapping in the Khorasan Razavi Province (Northeastern Iran)

Atmosphere ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 592
Author(s):  
Mehdi Aalijahan ◽  
Azra Khosravichenar
Keyword(s):  
Regional Planning ◽  
Interpolation Method ◽  
Absolute Error ◽  
Rain Gauge ◽  
Annual Precipitation ◽  
Coefficient Of Determination ◽  
Distance Weighting ◽  
Average Annual Precipitation ◽  
Inverse Distance

The spatial distribution of precipitation is one of the most important climatic variables used in geographic and environmental studies. However, when there is a lack of full coverage of meteorological stations, precipitation estimations are necessary to interpolate precipitation for larger areas. The purpose of this research was to find the best interpolation method for precipitation mapping in the partly densely populated Khorasan Razavi province of northeastern Iran. To achieve this, we compared five methods by applying average precipitation data from 97 rain gauge stations in that province for a period of 20 years (1994–2014): Inverse Distance Weighting, Radial Basis Functions (Completely Regularized Spline, Spline with Tension, Multiquadric, Inverse Multiquadric, Thin Plate Spline), Kriging (Simple, Ordinary, Universal), Co-Kriging (Simple, Ordinary, Universal) with an auxiliary elevation parameter, and non-linear Regression. Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and the Coefficient of Determination (R2) were used to determine the best-performing method of precipitation interpolation. Our study shows that Ordinary Co-Kriging with an auxiliary elevation parameter was the best method for determining the distribution of annual precipitation for this region, showing the highest coefficient of determination of 0.46% between estimated and observed values. Therefore, the application of this method of precipitation mapping would form a mandatory base for regional planning and policy making in the arid to semi-arid Khorasan Razavi province during the future.

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