scholarly journals APPLICATION OF GEOINFORMATION SYSTEMS AND DIFFERENTIATED DISTRIBUTION OF SEEDS AND FERTILIZERS IN SOWING WINTER WHEAT IN LLC "VANGUARD" RYAZAN DISTRICT OF RYAZAN REGION

2020 ◽  
pp. 92-97
Author(s):  
Н.В. БЫШОВ ◽  
Д.О. ОЛЕЙНИК ◽  
И.Ю. БОГДАНЧИКОВ ◽  
А.Н. БАЧУРИН ◽  
Н.В. ЛИПАТОВ
Keyword(s):  
Winter Wheat ◽  
Vegetation Index ◽  
Fertilizer Application ◽  
Average Yield ◽  
Space Images ◽  
Geoinformation Systems ◽  
The Past ◽  
Winter Crops ◽  
High Good ◽  
Good Medium

Проблема и цель. Целью проводимого исследования является доказательство эффективности дифференцированного распределения семян и удобрений при посеве. Методология. Для достижения цели исследования с помощью геоинформационных систем SkyScout и Спутник Агро были изучены космические снимки полей за прошедшие 3-5 лет. На основе данных снимков исследуемые поля были разделены на участки с высоким, хорошим, средним и низким значением дифференцированного вегетационного индекса (NDVI) развития биомассы из года в год по определенным культурам. Проблемные участки дополнительно обследовались при помощи обхода и выявлялись факторы, отрицательно влияющие на развитие растений на каждом участке. Составлялись карты-задания для дифференцированного сева и внесения удобрений с помощью программного обеспечения SMS Advance Ag Leader Technology, для каждого участка задавались нормы сева и внесения удобрений. Результаты. При севе озимых в 2019 году на поле №7 (74,8 га по факту) было израсходовано в среднем 240,6 кг/га семян и сэкономлено 703,12 кг. На поле №8 (58,3 га по факту) было израсходовано в среднем 240 кг/га семян и сэкономлено 575 кг. На двух исследуемых полях (на 133,1 га) было израсходовано 1 275 кг (семян) или 9 563 руб. При дифференцированном севе на поле №7 урожайность, в среднем, составила 56,7 ц/га, прибавка составила 2,7 ц/га. В пересчёте на общую площадь опыта (133,1 га) прибавка составила 35,9 тонн, что в денежном эквиваленте составляет 467 181 руб. или 3510 руб/га. Выводы. В результате исследования была подтверждена высокая эффективность дифференцированного сева и распределения удобрений. Необходимо продолжить дифференцированный сев озимых в 2020 году на более значительную площадь. Problem and purpose. The purpose of the study is to prove the efciency of diferentiated distribution of seeds and fertilizers when sowing. Methodology. To achieve the purpose space images of felds over the past 3-5 years were studied with the help of geoinformation systems SkyScout and Sputnik Agro. Based on these images, the studied felds were divided into areas with high, good, medium and low diferentiated vegetation index (NDVI) of biomass development from year to year for certain crops. Problem areas were additionally examined by bypass and factors were identifed that negatively afected the development of plants on each site. Maps were drawn up for diferentiated sowing and fertilizer application using SMS Advance Ag Leader Technology software, for each site sowing and fertilizer application standards were set. Results. When winter sowing in 2019, on average 240.6 kg/ha of seeds were spent and 703.12 kg were saved in feld No. 7 (74.8 hectares in fact). On average 240 kg/ha of seeds were spent and 575 kg were saved in feld No. 8 (58.3 hectares in fact). In the two felds under study (133.1 hectares) there were 1,275 kg of seeds or 9,563 rubles. When diferentiated sowing in feld No. 7, the average yield was 56.7 dt/ha and the increase was 2.7 dt/ha. In terms of the total area of experience (133.1 hectares), the increase was 35.9 tons, which in monetary terms was 467,181 rubles or 3,510 rubles/ha. Conclusion. As a result of the study, the high efciency of diferentiated sowing and the distribution of fertilizers were confrmed. It is necessary to continue the diferentiated sowing of winter crops in 2020 to a larger area

Forecasting the fl ood situation using space images in the city of Tavda Sverdlovsk region

2018 ◽  
Vol 934 (4) ◽  
pp. 46-52
Author(s):  
A.S. Bruskova ◽  
T.I. Levitskaya ◽  
D.M. Haydukova
Keyword(s):  
Water Levels ◽  
Economic Damage ◽  
Geoinformation System ◽  
Space Images ◽  
Geoinformation Systems ◽  
Emergency Situations ◽  
The Earth ◽  
Maximum Water ◽  
The City

Flooding is a dangerous phenomenon, causing emergency situations and causing material damage, capable of damaging health, and even death of people. To reduce the risk and economic damage from flooding, it is necessary to forecast flooding areas. An effective method of forecasting emergency situations due to flooding is the method of remote sensing of the Earth with integration into geoinformation systems. With the help of satellite imagery, a model of flooding was determined based on the example of Tavda, the Sverdlovsk Region. Space images are loaded into the geoinformation system and on their basis a series of thematic layers is created, which contains information about the zones of possible flooding at given water level marks. The determination of the area of flooding is based on the calculation of the availability of maximum water levels at hydrological stations. According to the calculated security data, for each hydrological post, flood zones are constructed by interpolation between pre-calculated flood zones of standard security. The results of the work can be used by the Main Directorate of the Ministry for Emergency Situations of Russia for the Sverdlovsk Region.

Alpine sparsely vegetated areas in the eastern Qilian Mountains shrank with climate warming in the past 30 years

2018 ◽  
Vol 42 (4) ◽  
pp. 415-430 ◽  
Author(s):  
Biao Zeng ◽  
Fuguang Zhang ◽  
Taibao Yang ◽  
Jiaguo Qi ◽  
Mihretab G Ghebrezgabher
Keyword(s):  
Climate Change ◽  
Climate Warming ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Regional Scale ◽  
Qilian Mountains ◽  
Visual Interpretation ◽  
Hydrothermal Conditions ◽  
The Past ◽  
Distribution Ranges

Alpine sparsely vegetated areas (ASVAs) in mountains are sensitive to climate change and rarely studied. In this study, we focused on the response of ASVA distribution to climate change in the eastern Qilian Mountains (EQLM) from the 1990s to the 2010s. The ASVA distribution ranges in the EQLM during the past three decades were obtained from the Thematic Mapper remote sensing digital images by using the threshold of normalized difference vegetation index (NDVI) and artificial visual interpretation. Results indicated that the ASVA shrank gradually in the EQLM and lost its area by approximately 11.4% from the 1990s to the 2010s. The shrunken ASVA with markedly more area than the expanded one was mainly located at altitudes from 3700 m to 4300 m, which were comparatively lower than the average altitude of the ASVA distribution ranges. This condition led to the low ASVA boundaries in the EQLM moving upwards at a significant velocity of 22 m/decade at the regional scale. This vertical zonal process was modulated by topography-induced differences in local hydrothermal conditions. Thus, the ASVA shrank mainly in its lower parts with mild and sunny slopes. Annual maximum NDVI in the transition zone increased significantly and showed a stronger positive correlation with significantly increasing temperature than insignificant precipitation variations during 1990–2015. The ASVA shrinkage and up-shifting of its boundary were attributed to climate warming, which facilitated the upper part of alpine meadow in the EQLM by releasing the low temperature limitation on vegetation growth.

Components of test weight of ten varieties of winter wheat grown with two rates of nitrogen fertilizer application

1975 ◽  
Vol 85 (3) ◽  
pp. 559-563 ◽  
Author(s):  
Fiona M. Pushman ◽  
J. Bingham
Keyword(s):  
Winter Wheat ◽  
Protein Content ◽  
Nitrogen Fertilizer ◽  
Ventral Surface ◽  
Fertilizer Application ◽  
Test Weight ◽  
Varietal Differences ◽  
Flour Yield ◽  
Packing Efficiency ◽  
Xylene Separation

SUMMARYVarietal and environmental factors which influence test weight were investigated in a field trial with ten varieties of winter wheat and two rates of nitrogen fertilizer. Varietal differences in test weight were correlated positively with the protein content of the grain and inversely with grain yield but they were not related to 1000-grain weight or to flour yield. Variation in test weight associated with varietal and environmental effects in protein content was due to differences in the density of the grain, as measured by displacement of xylene. Separation into density grades within a sample by a flotation method showed a similar relationship with protein content. There were also varietal differences in packing efficiency of the grain. In the case of Maris Huntsman a poor packing efficiency was considered to stem from morphological features of the floret and developing grain which lead to characteristic transverse folds in the ventral surface of the mature grain. For wheat grown in the United Kingdom, test weight may provide a useful guide to flour yield for samples of one variety but it is likely to be misleading for comparisons between varieties.

Analysis of genotypic variation for normalized difference vegetation index and its relationship with grain yield in winter wheat under terminal heat stress

2012 ◽  
Vol 131 (6) ◽  
pp. 716-721 ◽  
Author(s):  
Shahnoza Hazratkulova ◽  
Ram C. Sharma ◽  
Safar Alikulov ◽  
Sarvar Islomov ◽  
Tulkin Yuldashev ◽  
...  
Keyword(s):  
Heat Stress ◽  
Winter Wheat ◽  
Grain Yield ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Genotypic Variation ◽  
Terminal Heat Stress

scholarly journals Assessing the Effect of Drought on Winter Wheat Growth Using Unmanned Aerial System (UAS)-Based Phenotyping

2021 ◽  
Vol 13 (6) ◽  
pp. 1144
Author(s):  
Mahendra Bhandari ◽  
Shannon Baker ◽  
Jackie C. Rudd ◽  
Amir M. H. Ibrahim ◽  
Anjin Chang ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Vegetation Indices ◽  
Grain Filling ◽  
Unmanned Aerial Systems ◽  
High Temporal Resolution ◽  
Wheat Growth ◽  
Spatial Domains ◽  
Temporal And Spatial

Drought significantly limits wheat productivity across the temporal and spatial domains. Unmanned Aerial Systems (UAS) has become an indispensable tool to collect refined spatial and high temporal resolution imagery data. A 2-year field study was conducted in 2018 and 2019 to determine the temporal effects of drought on canopy growth of winter wheat. Weekly UAS data were collected using red, green, and blue (RGB) and multispectral (MS) sensors over a yield trial consisting of 22 winter wheat cultivars in both irrigated and dryland environments. Raw-images were processed to compute canopy features such as canopy cover (CC) and canopy height (CH), and vegetation indices (VIs) such as Normalized Difference Vegetation Index (NDVI), Excess Green Index (ExG), and Normalized Difference Red-edge Index (NDRE). The drought was more severe in 2018 than in 2019 and the effects of growth differences across years and irrigation levels were visible in the UAS measurements. CC, CH, and VIs, measured during grain filling, were positively correlated with grain yield (r = 0.4–0.7, p < 0.05) in the dryland in both years. Yield was positively correlated with VIs in 2018 (r = 0.45–0.55, p < 0.05) in the irrigated environment, but the correlations were non-significant in 2019 (r = 0.1 to −0.4), except for CH. The study shows that high-throughput UAS data can be used to monitor the drought effects on wheat growth and productivity across the temporal and spatial domains.

scholarly journals Climate Change Patterns of Wild Blueberry Fields in Downeast, Maine over the Past 40 Years

Water ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 594
Author(s):  
Rafa Tasnim ◽  
Francis Drummond ◽  
Yong-Jiang Zhang
Keyword(s):  
Climate Change ◽  
Vegetation Index ◽  
Potential Evapotranspiration ◽  
Growing Season ◽  
Spatial Average ◽  
Climate Variables ◽  
Threshold Values ◽  
The Past ◽  
Wild Blueberry ◽  
Crop Health

Maine, USA is the largest producer of wild blueberries (Vaccinium angustifolium Aiton), an important native North American fruit crop. Blueberry fields are mainly distributed in coastal glacial outwash plains which might not experience the same climate change patterns as the whole region. It is important to analyze the climate change patterns of wild blueberry fields and determine how they affect crop health so fields can be managed more efficiently under climate change. Trends in the maximum (Tmax), minimum (Tmin) and average (Tavg) temperatures, total precipitation (Ptotal), and potential evapotranspiration (PET) were evaluated for 26 wild blueberry fields in Downeast Maine during the growing season (May–September) over the past 40 years. The effects of these climate variables on the Maximum Enhanced Vegetation Index (EVImax) were evaluated using Remote Sensing products and Geographic Information System (GIS) tools. We found differences in the increase in growing season Tmax, Tmin, Tavg, and Ptotal between those fields and the overall spatial average for the region (state of Maine), as well as among the blueberry fields. The maximum, minimum, and average temperatures of the studied 26 wild blueberry fields in Downeast, Maine showed higher rates of increase than those of the entire region during the last 40 years. Fields closer to the coast showed higher rates of warming compared with the fields more distant from the coast. Consequently, PET has been also increasing in wild blueberry fields, with those at higher elevations showing lower increasing rates. Optimum climatic conditions (threshold values) during the growing season were explored based on observed significant quadratic relationships between the climate variables (Tmax and Ptotal), PET, and EVImax for those fields. An optimum Tmax and PET for EVImax at 22.4 °C and 145 mm/month suggest potential negative effects of further warming and increasing PET on crop health and productivity. These climate change patterns and associated physiological relationships, as well as threshold values, could provide important information for the planning and development of optimal management techniques for wild blueberry fields experiencing climate change.

scholarly journals Trends on the Artificial Fertilizer Market and in Fertilizers Use in Hungary

2018 ◽  
Vol 12 (3-4) ◽  
pp. 5-12
Author(s):  
Gergő Ács
Keyword(s):  
Base Material ◽  
World Market ◽  
Fertilizer Application ◽  
Jel Classification ◽  
Energy Costs ◽  
Fertilizer Use ◽  
The Past ◽  
Crude Oil Prices ◽  
The World ◽  
Primary Base

The fertilizer market in Hungary is rather concentrated, which has a strong influence on the price of the fertilizer. Our domestic fertilizer use is primarily determined by that of nitrogen. The use of phosphorus is also significant but the trends in the use of potassium do not match the total quantities applied in individual years. Consequently, it can be concluded that the majority of farmers still focus on the application of nitrogen and also apply phosphorus but either neglect or do not pay enough attention to potassium fertilization. The changes in fertilizer prices between 2006 and 2017 can be broken down into two periods. Until 2012 a very important and dynamic increase was observed as a result of which the prices of N, P and K fertilizers increased by 80-120%, 160% and about 120%, respectively. This was followed by a downturn in the market and in relation to 2012 prices there were 20-30/ decreases experienced until 2017 but the rate of this lagged behind the prices in other European countries. Owing to this trend the prices of N, P and K have increased by 60%, 100% and 80%, respectively, over the past ten years. The correlation between fertilizer application and the prices of fertilizers in any given year is low but there is a positive one observed between fertilizer application and the fertilizer prices in the preceding year. This means supposedly that farmers mostly buy the fertilizers they wish to apply not in the current but in the preceding year and store them until these are applied. There is a strong correlation seen between fertilizer prices and the prices of corn and wheat, which means that fertilizer traders also keep tabs on economic results and also increase fertilizer prices under the influence of higher prices. Furthermore, it can be claimed that there is no correlation between crude oil prices on the world market and domestic N fertilizer prices. This is an important factor since the primary base material of N fertilizers is natural gas and their production involves considerable energy costs as well. It can be seen, however, that this is not what determines our domestic fertilizer prices, which can be explained by the fact that the price calculations by the determining actors on the Hungarian fertilizer market is not based on costs but on the demand. JEL Classification: Q13

scholarly journals Nova Bosanka: New variety of winter wheat

Genetika ◽  
2011 ◽  
Vol 43 (3) ◽  
pp. 569-574 ◽  
Author(s):  
Dragan Mandic ◽  
Goran Djurasinovic ◽  
Bojana Savic ◽  
Senad Kikic
Keyword(s):  
Winter Wheat ◽  
Protein Content ◽  
Seed Size ◽  
Plant Diseases ◽  
Standard Variety ◽  
Average Yield ◽  
Good Resistance ◽  
New Variety ◽  
Early Maturing ◽  
Technological Quality

Highly yielding, early maturing, excellent technological quality, resistent to lodging, optimal seed size, good resistance to plant diseases. New variety of winter wheat under the name Nova Bosanka was created by crossing the genetically divergent parents. According to overall three-year average, the variety Nova Bosanka achieved an average yield of 6.918 kg ha-1 which is 479,3 kg or 7,45% more than the values of standard variety Tina. Three-year average of protein content was 12,8%, water apsorption 59%, energy of dough 100 cm2, belongs to B1 - quality group. By the trait of resistance to lodging variety is at the level of standard.

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