scholarly journals A coupled impact of different management and soil moisture on yield of winter wheat (Triticum aestivum L.) in dry conditions at locality Mezőföld, Hungary

2021 ◽  
Vol 69 (1) ◽  
pp. 76-86
Author(s):  
Gabor Milics
Keyword(s):  
Triticum Aestivum ◽  
Soil Moisture ◽  
Winter Wheat ◽  
Vegetation Index ◽  
Nutrient Management ◽  
Sensor Technology ◽  
Soil Conditions ◽  
Variable Rate ◽  
Moisture Index ◽  
Vegetation Monitoring

AbstractVariable rate technology (VRT) in nutrient management has been developed in order to apply crop inputs according to the required amount of fertilizers. Meteorological conditions rarely differ within one field; however, differences in soil conditions responding to precipitation or evaporation results within field variations. These variations in soil properties such as moisture content, evapotranspiration ability, etc. requires site-specific treatments for the produced crops. There is an ongoing debate among experts on how to define management zones as well as how to define the required amount of fertilizers for phosphorus and nitrogen replenishment for winter wheat (Triticum aestivum L.) production. For management zone delineation, vegetation based or soil based data collection is applied, where various sensor technology or remote sensing is in help for the farmers. The objective of the study reported in this paper was to investigate the effect of soil moisture data derived from Sentinel-2 satellite images moisture index and variable rate phosphorus and nitrogen fertilizer by means of variable rate application (VRA) in winter wheat in Mezőföld, Hungary. Satellite based moisture index variance at the time of sowing has been derived, calculated and later used for data comparison. Data for selected points showed strong correlation (R2 = 0.8056; n = 6) between moisture index and yield, however generally for the whole field correlation does not appear. Vegetation monitoring has been carried out by means of NDVI data calculation. On the field level, as indicated earlier neither moisture index values at sowing nor vegetation index data was sufficient to determine yield. Winter wheat production based on VRA treatment resulted significant increase in harvested crop: 5.07 t/h in 2013 compared to 8.9 t/ha in 2018. Uniformly managed (control) areas provided similar yield as VRA treated areas (8.82 and 8.9 t/ha, respectively); however, the input fertilizer was reduced by 108 kg/ha N and increased by 37 kg/ha P.

scholarly journals The Modification of Difference Vegetation Index (DVI) in middle and late growing period of winter wheat and its application in soil moisture inversion

2019 ◽  
Vol 131 ◽  
pp. 01098
Author(s):  
Zhang Hong-wei ◽  
Huai-liang Chen ◽  
Fei-na Zha
Keyword(s):  
Soil Moisture ◽  
Winter Wheat ◽  
Vegetation Index ◽  
Vegetation Coverage ◽  
Growth Stages ◽  
Wheat Growth ◽  
Inversion Result ◽  
Growing Period ◽  
The Difference ◽  
Different Growth Stages

In the middle and late growing period of winter wheat, soil moisture is easily affected by saturation when using MODIS data to retrieve soil moisture. In this paper, in order to reduce the effect of the saturation caused by increasing vegetation coverage in middle and late stage of winter wheat, the Difference Vegetation Index (DVI) model was modified with different coefficients in different growth stages of winter wheat based on MODIS spectral data and LAI characteristics of variation. LAI was divided into three stages, LAI ≤ 1 < LAI ≤, 3 < LAI, and the adjusting coefficient of α=1, α=3, α=5, were taken to modifying the Difference Vegetation Index(DVI). The results show that the Modified Difference Vegetation Index (MDVIα) can effectively reduce the interference of saturation, and the inversion result of soil moisture in the middle and late period of winter wheat growth is obviously superior to the uncorrected inversion model of DVI.

scholarly journals Superabsorbent polymer and rabbit manure improve soil moisture, growth and yield of eggplant (Solanum melongena L.)

2020 ◽  
Vol 2 (1) ◽  
Author(s):  
Elisha Otieno Gogo ◽  
Annah Wanjala Mnyika ◽  
Simon Muti Mbuvi
Keyword(s):  
Soil Moisture ◽  
Soil Water ◽  
Nutrient Management ◽  
Block Design ◽  
Solanum Melongena ◽  
Growth And Yield ◽  
Soil Conditions ◽  
Superabsorbent Polymer ◽  
And Control ◽  
Rabbit Manure

Production of eggplant (Solanum melongena L.) is influenced by limited soil water and fertility conditions that affect its growth and yield. The use of superabsorbent polymer (SAP), also known as slush powder and rabbit manure are among the strategies that can improve soil conditions, hence growth and yield of crops. The objective of the study was to evaluate the effects of SAP and rabbit manure on soil moisture, growth and yield of eggplant. The study was conducted at Pwani University, Kilifi, Kenya. A randomized complete block design with three replications was used. The treatments were SAP, rabbit manure, SAP plus rabbit manure and control (without SAP or rabbit manure). Soil moisture, growth and yield parameters were determined. Superabsorbent polymer and/or rabbit manure improved soil moisture, growth and yield of eggplant compared with the control. Use of SAP had a better soil moisture retention, growth and yield comparable to SAP combined with rabbit manure. The finding demonstrates that use of SAP and/or rabbit manure may help in better soil water and nutrient management particularly in arid and semi-arid areas to improve growth and yield of eggplant.

scholarly journals Detecting Winter Wheat Irrigation Signals Using SMAP Gridded Soil Moisture Data

2019 ◽  
Vol 11 (20) ◽  
pp. 2390 ◽  
Author(s):  
Hao ◽  
Zhao ◽  
Zhang ◽  
Wang ◽  
Jiang
Keyword(s):  
Soil Moisture ◽  
Winter Wheat ◽  
Signal Detection ◽  
Spatial Resolution ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Irrigation Management ◽  
Hebei Province ◽  
Signal Frequency ◽  
Modis Ndvi

The southern part of the Hebei Province is one of China’s major crop-producing regions. Due to the continuous decline in groundwater level, agricultural water use is facing significant challenges. Precision agricultural irrigation management is undoubtedly an effective way to solve this problem. Based on multisource data (time series soil moisture active passive (SMAP) data, Moderate Resolution Imaging Spectroradiometer (MODIS) normalized difference vegetation index (NDVI) and evapotranspiration (ET), and meteorological station precipitation), the irrigation signal (frequency, timing and area) is detected in the southern part of the Hebei Province. The SMAP data was processed by the 5-point moving average method to reduce the error caused by the uncertainty of the microwave data derived SM. Irrigation signals can be detected by removing the precipitation effect and setting the SM change threshold. Based on the validation results, the overall accuracy of the irrigation signal detection is 77.08%. Simultaneously, considering the spatial resolution limitation of SMAP pixels, the SMAP irrigation area was downscaled using the winter wheat area extracted from MODIS NDVI. The analytical results of 55 winter wheat samples (5 samples in a group) showed that winter wheat covered by one SMAP pixel had an 82.72% growth consistency in surface water irrigation period, which can indicate a downscaling effectiveness. According to the above statistical analysis, this paper considers that although the spatial resolution of SMAP data is insufficient, it can reflect the change of SM more sensitively. In areas where the crop pattern is relatively uniform, the introduction of high-resolution crop pattern distribution can be used not only to detect irrigation signals but also to validate the effectiveness of irrigation signal detection by analyzing crop growth consistency. Therefore, the downscaling results can indicate the true winter wheat irrigation timing, area and frequency in the study area.

Rotation, tillage and seeder effects on winter wheat performance and soil moisture regime

1995 ◽  
Vol 75 (1) ◽  
pp. 109-116 ◽  
Author(s):  
C. W. Lindwall ◽  
F. J. Larney ◽  
J. M. Carefoot
Keyword(s):  
Soil Moisture ◽  
Winter Wheat ◽  
Management System ◽  
Soil Conditions ◽  
Moisture Regime ◽  
Continuous Cropping ◽  
Zero Tillage ◽  
Hordeum Vulgare L ◽  
Soil Moisture Regime ◽  
Southern Alberta

The optimum management system for winter wheat (Triticum aestivum L.) production in southern Alberta has not been adequately defined. A 9-yr (1978–1986) study was conducted to determine the effects of three rotations (continuous winter wheat, winter wheat–fallow and winter wheat–barley (Hordeum vulgare L.)–fallow), two tillage systems (conventional tillage, zero tillage) and two seeder types (hoe-drill, disc drill) on winter wheat growth, yield and water use. Continuous cropping to winter wheat was terminated after 4 yr because of a heavy downy brome (Bromus tectorum L.) infestation. Soil moisture reserves to 1.5-m depth fell to only 61% of that under the wheat–fallow rotation. Wheat grown in the wheat–barley–fallow rotation yielded on average 4% higher than that in the wheat–fallow rotation. Yields under zero tillage were significantly higher in 3 of the 9 study years, and slightly higher in 5 yr, due to better soil moisture conservation once the zero-tillage treatment was established for 2 yr. Zero tillage was most beneficial when precipitation at fall planting was less than normal. The hoe-drill provided more effective seed placement than the disc drill when surface soil conditions were dry at or soon after seeding. A management system which incorporates zero tillage (and preferably seeding with a hoe drill) into a 3-yr (wheat–barley–fallow) rotation is best suited for winter wheat production in southern Alberta. Key words: Wheat (winter), crop rotation, zero tillage, seed drill, soil moisture regime

Effects of two kinds of variable‐rate nitrogen application strategies on the production of winter wheat (Triticum aestivum)

2009 ◽  
Vol 37 (2) ◽  
pp. 149-155 ◽  
Author(s):  
Chunjiang Zhao ◽  
Pengfei Chen ◽  
Wenjiang Huang ◽  
Jihua Wang ◽  
Zhijie Wang ◽  
...  
Keyword(s):  
Triticum Aestivum ◽  
Winter Wheat ◽  
Variable Rate ◽  
Nitrogen Application

Competitive Relationships Among Winter Wheat (Triticum aestivum), Jointed Goatgrass (Aegilops cylindrica), and Downy Brome (Bromus tectorum)

Weed Science ◽  
1988 ◽  
Vol 36 (4) ◽  
pp. 479-486 ◽  
Author(s):  
Gwen F. Fleming ◽  
Frank L. Young ◽  
Alex G. Ogg
Keyword(s):  
Triticum Aestivum ◽  
Soil Moisture ◽  
Winter Wheat ◽  
Bromus Tectorum ◽  
Relative Yield ◽  
Growth Chamber ◽  
Downy Brome ◽  
Replacement Series ◽  
Aegilops Cylindrica ◽  
Jointed Goatgrass

In three replacement series experiments, winter wheat (Triticum aestivumL.), jointed goatgrass (Aegilops cylindricaHost. #3AEGCY), and downy brome (Bromus tectorumL. # BROTE) were paired in all possible combinations to determine competitive relationships during vegetative growth. Under growth chamber conditions of ample fertility and soil moisture and day/night temperatures of 18/10 C, relative yield totals for the three species were similar, indicating that they compete for the same resources. Both winter wheat and jointed goatgrass had greater plant growth and higher relative crowding coefficients than downy brome, which indicated a hierarchy of relative competitiveness of winter wheat > jointed goatgrass >> downy brome. In other growth chamber studies, winter wheat was slightly more competitive than jointed goatgrass regardless of fertility levels. Winter wheat was the superior competitor at 18/10 C and −33 kPa (soil moisture), whereas jointed goatgrass was superior at 27/10 C and −300 kPa, conditions that are frequently encountered in the Pacific Northwest.

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