scholarly journals The affectivity using of the winter wheat by detailed methoda of the structure harvest

2019 ◽  
Vol 2019 (2) ◽  
pp. 6-14
Author(s):  
G.F. Оlkhovskyi ◽  
М.А. Bobro ◽  
О.F. Chechui
Keyword(s):  
Winter Wheat ◽  
Key Words ◽  
Wheat Yield ◽  
Wheat Crop ◽  
Yield Structure ◽  
Winter Wheat Yield ◽  
Individual Features ◽  
The Individual ◽  
The Relationship

The most difficult but most informative method of determining the structure of winter wheat yield with the use of large bunches of samples is presented. The role of the stem in the formation of allthe elements of winter wheat yield structure is determined. The advantage of our method is that it allows to get deeper information about the structure of the wheat crop, as it reveals the relationship between the individual elements of the crop structure and shows the amplitude of fluctuations in individual features of thewheat crop structure. Key words: winter wheat, yield structure, stem, weight and number of grains.

scholarly journals Elements of Integration in Winter Wheat Protection Programs

2012 ◽  
Vol 58 (1) ◽  
pp. 29-36
Author(s):  
Cecylia Jańczak ◽  
Grażyna Filoda ◽  
Robert Matysiak
Keyword(s):  
Winter Wheat ◽  
Plant Protection ◽  
Wheat Yield ◽  
Weather Conditions ◽  
Nitrogen Fertilizers ◽  
Pests And Diseases ◽  
Plant Infection ◽  
Winter Wheat Yield

In Poland winter wheat is grown on the area of 1.600.000 ha. Most of the plant protection treatments are being done without thorough analysis of real threats from pests and diseases. The aim of the research is to develop the optimal program of wheat protection against pests and diseases based on integration of various methods of plant protection. Two programs: conventional and integrated were compared. In integrated program the eventual needs and terms of treatments were estimated on the basis of detailed observations of plant infection, pest appearance, their natural enemies and thorough analysis of weather conditions and forecasts. The role of disease resistant wheat varietes and nitrogen fertilizers was also analysed. The research took into account beneficial entomofauna and its influence on pest numbers as well as influence of chemicals used in agriculture on their species. As the result the selective pesticides, safe to beneficial organisms, were selected. The quantity and quality of winter wheat yield was analysed, including protein and gluten contents. The economic effectiveness of various programs of wheat protection against pests and diseases was assessed. The results of research are important both in practical and scientific sense.

scholarly journals Влияние бактерий рода Azotobacter Chroococcum на рост и развитие пшеницы озимой в западноукраинской лесостепной провинции

2021 ◽  
Author(s):  
Роман Кордулян ◽  
Keyword(s):  
Winter Wheat ◽  
Grain Yield ◽  
Wheat Yield ◽  
Azotobacter Chroococcum ◽  
Grain Weight ◽  
Yield Structure ◽  
Bacterium Species ◽  
Winter Wheat Yield

The researches results showed the positive the bacterium species Azotobacter chroococcum im-pact on winter wheat yield structure. Especially, the grain yield of Favoritka increased on 0,38 t/ha, or on 10 %; weight 1000 grains – on 2.9 g, or on 7,5%; the spike’s length-on 0,7 cm or on на 9,9 %; the grain’s quantity in one spike is on 2,3 pcs, or on 9 %; one plant’s weight-on 0,23 g, or on 5,6 %; the spike’s weight-0,17g, or on11%, one spike’s grain weight- on 0,4 g, or on 5,3 %.

scholarly journals AMELIORATIVE ROLE OF THE FOREST BELT IN THE FORMATION OF WINTER WHEAT YIELD IN THE ARID ZONE OF STAVROPOL REGION

2018 ◽  
Vol 7 (30) ◽  
pp. 179-182
Author(s):  
L. V. Trubacheva ◽  
◽  
O. V. Mukhina ◽  
N. S. Chukhlebova ◽  
A. M. Nikiforova ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Arid Zone ◽  
Wheat Yield ◽  
Forest Belt ◽  
Stavropol Region ◽  
Winter Wheat Yield

scholarly journals Winter Wheat Response to Preplant Applications of Aminocyclopyrachlor

2011 ◽  
Vol 25 (1) ◽  
pp. 51-57 ◽  
Author(s):  
Andrew R. Kniss ◽  
Drew J. Lyon
Keyword(s):  
Winter Wheat ◽  
Yield Loss ◽  
Wheat Yield ◽  
Field Studies ◽  
Wheat Crop ◽  
Yield Losses ◽  
Fallow Period ◽  
Winter Wheat Yield ◽  
Winter Wheat Crop ◽  
Preceding Winter

Field studies were conducted in Wyoming and Nebraska in 2007 through 2009 to evaluate winter wheat response to aminocyclopyrachlor. Aminocyclopyrachlor was applied at rates between 15 and 120 g ai ha−1 6, 4, and 2 mo before winter wheat planting (MBP). Redroot pigweed control was 90% with aminocyclopyrachlor rates of 111 and 50 g ha−1 when applied 4 or 2 MBP. Aminocyclopyrachlor at 37 g ha−1 controlled Russian thistle 90% when applied 6 MBP. At Sidney, NE, winter wheat yield loss was > 10% at all aminocyclopyrachlor rates when applied 2 or 4 MBP, and at all rates > 15 g ha−1 when applied 6 MBP. At Lingle, WY, > 40% winter wheat yield loss was observed at all rates when averaged over application timings. Although the maturing wheat plants looked normal, few seed were produced in the aminocyclopyrachlor treatments, and therefore preharvest wheat injury ratings of only 5% corresponded to yield losses ranging from 23 to 90%, depending on location. The high potential for winter wheat crop injury will almost certainly preclude the use of aminocyclopyrachlor in the fallow period immediately preceding winter wheat.

scholarly journals Winter Wheat Cultivar Recommendation Based on Expected Environment Productivity

Agriculture ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 522
Author(s):  
Marzena Iwańska ◽  
Jakub Paderewski ◽  
Michał Stępień ◽  
Paulo Canas Rodrigues
Keyword(s):  
Environmental Factors ◽  
Winter Wheat ◽  
Mixed Model ◽  
Wheat Yield ◽  
Analysis Of Covariance ◽  
Hydrothermal Coefficient ◽  
Soil Suitability ◽  
Winter Wheat Yield ◽  
Wide Adaptation ◽  
The Relationship

We used 5 years of data from multi-environmental trials conducted in Poland to assess average winter wheat yield based on selected environmental factors to recommend cultivars depending on their performance in environments of different productivity. Average expected yields in particular environments were calculated using a model based on analysis of covariance (ANCOVA), which describes the relationship between winter wheat yield and environmental factors of soil suitability and pH, drought length and Selyaninov’s Hydrothermal Coefficient (HTC) in 10-day periods. The cultivar performance was evaluated using linear regression. The cultivar yield estimated by the mixed model was considered the dependent variable, whereas the environmental mean yields, estimated by ANCOVA, were considered independent variables. The cultivars were ranked according to the estimated yield in environments of determined average wheat productivity. Higher yielding cultivars were divided into two groups: widely and narrowly adapted cultivars, which were then recommended. The novelty of this study stems from the consideration of the environmental productivity in the recommendation process, the indication of widely adapted cultivars to be grown in a broad range of productivity sites and the selection of cultivars with narrow adaptation, which may outperform cultivars of wide adaptation in homogeneous fields. This study confirmed the importance of soil suitability and HTC for winter wheat yield. Direct application of our results is possible in Poland and in other countries with similar conditions.

scholarly journals Modeling the role of irrigation in winter wheat yield, crop water productivity, and production in China

2007 ◽  
Vol 26 (1) ◽  
pp. 21-33 ◽  
Author(s):  
Junguo Liu ◽  
David Wiberg ◽  
Alexander J. B. Zehnder ◽  
Hong Yang
Keyword(s):  
Winter Wheat ◽  
Water Productivity ◽  
Wheat Yield ◽  
Crop Water ◽  
Crop Water Productivity ◽  
Winter Wheat Yield

scholarly journals Yield Estimation of Winter Wheat in Pre-harvest Season by Satellite Imagery Based Regression Models

2020 ◽  
pp. 390-403
Author(s):  
Ediz UNAL ◽  
Hakan YILDIZ ◽  
Ali MERMER ◽  
Metin AYDOGDU
Keyword(s):  
Winter Wheat ◽  
Wheat Yield ◽  
Flowering Period ◽  
Yield Model ◽  
Management Plans ◽  
Winter Wheat Yield ◽  
The Mean ◽  
Actual Yield ◽  
Crop Parameters ◽  
The Relationship

Early crop yield estimates could provide up-to-date information on supply, demand, stocks, and export availability through which governing bodies can make better agricultural management plans. This study aims to develop a yield model estimating pre-harvest winter wheat yield at both tillering and flowering stages using a multiple linear regression approach based on the relationship between actual yield and satellite derived crops’ phenological parameters. Four crop parameters (NDVI, Cumulative NDVI, LAI and FPAR) were regressed in combination to find the best applicable model. Regression results showed that correlations for all models among the variables of the flowering period are higher than that of tillering (0.63>0.53). The mean RMSE’s of the observed vs predicted yields for tillering period was 645.9 kg ha-1 and 574.5 kg ha-1 for flowering period. The optimal developed model which consists of NDVI and CNDVI variables provided 76% and 79% of predicting accuracy 3 and 1.5 months before harvest respectively.

scholarly journals Comparison of Proximal and Remote Sensing for the Diagnosis of Crop Status in Site-Specific Crop Management

Sensors ◽  
2021 ◽  
Vol 22 (1) ◽  
pp. 19
Author(s):  
Jiří Mezera ◽  
Vojtěch Lukas ◽  
Igor Horniaček ◽  
Vladimír Smutný ◽  
Jakub Elbl
Keyword(s):  
Remote Sensing ◽  
Winter Wheat ◽  
Vegetation Indices ◽  
Wheat Yield ◽  
Nitrogen Fertilizers ◽  
Wheat Crop ◽  
Significant Difference ◽  
Winter Wheat Crop ◽  
The Individual ◽  
Sentinel 2

The presented paper deals with the issue of selecting a suitable system for monitoring the winter wheat crop in order to determine its condition as a basis for variable applications of nitrogen fertilizers. In a four-year (2017–2020) field experiment, 1400 ha of winter wheat crop were monitored using the ISARIA on-the-go system and remote sensing using Sentinel-2 multispectral satellite images. The results of spectral measurements of ISARIA vegetation indices (IRMI, IBI) were statistically compared with the values of selected vegetation indices obtained from Sentinel-2 (EVI, GNDVI, NDMI, NDRE, NDVI and NRERI) in order to determine potential hips. Positive correlations were found between the vegetation indices determined by the ISARIA system and indices obtained by multispectral images from Sentinel-2 satellites. The correlations were medium to strong (r = 0.51–0.89). Therefore, it can be stated that both technologies were able to capture a similar trend in the development of vegetation. Furthermore, the influence of climatic conditions on the vegetation indices was analyzed in individual years of the experiment. The values of vegetation indices show significant differences between the individual years. The results of vegetation indices obtained by the analysis of spectral images from Sentinel-2 satellites varied the most. The values of winter wheat yield varied between the individual years. Yield was the highest in 2017 (7.83 t/ha), while the lowest was recorded in 2020 (6.96 t/ha). There was no statistically significant difference between 2018 (7.27 t/ha) and 2019 (7.44 t/ha).

scholarly journals Estimation of Winter Wheat Yield from UAV-Based Multi-Temporal Imagery Using Crop Allometric Relationship and SAFY Model

Drones ◽  
2021 ◽  
Vol 5 (3) ◽  
pp. 78
Author(s):  
Yang Song ◽  
Jinfei Wang ◽  
Bo Shan
Keyword(s):  
Winter Wheat ◽  
Wheat Yield ◽  
Yield Prediction ◽  
Yield Estimation ◽  
Allometric Relationship ◽  
Area Index ◽  
Crop Height ◽  
Winter Wheat Yield ◽  
The Relationship ◽  
Height Model

Crop yield prediction and estimation play essential roles in the precision crop management system. The Simple Algorithm for Yield Estimation (SAFY) has been applied to Unmanned Aerial Vehicle (UAV)-based data to provide high spatial yield prediction and estimation for winter wheat. However, this crop model relies on the relationship between crop leaf weight and biomass, which only considers the contribution of leaves on the final biomass and yield calculation. This study developed the modified SAFY-height model by incorporating an allometric relationship between ground-based measured crop height and biomass. A piecewise linear regression model is used to establish the relationship between crop height and biomass. The parameters of the modified SAFY-height model are calibrated using ground measurements. Then, the calibrated modified SAFY-height model is applied on the UAV-based photogrammetric point cloud derived crop height and effective leaf area index (LAIe) maps to predict winter wheat yield. The growing accumulated temperature turning points of an allometric relationship between crop height and biomass is 712 °C. The modified SAFY-height model, relative to traditional SAFY, provided more accurate yield estimation for areas with LAI higher than 1.01 m2/m2. The RMSE and RRMSE are improved by 3.3% and 0.5%, respectively.

scholarly journals Dependence of winter wheat yield on the content and composition of organic matter of typical chernozem

2021 ◽  
Vol 32 ◽  
pp. 02008
Author(s):  
Nina Masyutenko ◽  
Alexey Kuznetsov ◽  
Maxim Masyutenko ◽  
Tatiana Pankova
Keyword(s):  
Organic Matter ◽  
Soil Organic Matter ◽  
Winter Wheat ◽  
Wheat Yield ◽  
Optimal Parameters ◽  
Hydrothermal Conditions ◽  
Typical Chernozem ◽  
Winter Wheat Yield ◽  
The Relationship

The article is devoted to the study of the relationship and the determination of the dependence of winter wheat yield on the content and composition of the organic matter of typical chernozem, the determination of its optimal parameters in different by hydrothermal conditions years. The research was carried out in 2018-2019 in a typical heavy-loamy chernozem in the experimental field of the Kursk FARC. Coupled studies of the yield of winter wheat Synthetics and indicators of soil organic matter in the topsoil were carried out on 30-meter sites during the harvest period. The range of fluctuations in the content and composition of organic matter in the soil, the yield of winter wheat at the studied sites allowed us to apply information and logical analysis within the framework of the analyzed soil-plant system. A high dependence of winter wheat yield on the content and composition of soil organic matter was established, in 2018 the coefficients of information transfer efficiency varied from 0.23 to 0.17, in 2019 from 0.32 to 0.18. It was found that in dry 2019 the dependence of winter wheat yield on the biogenicity of mobile humus substances, the lability of humus, and microbial biomass has increased, and the influence of humus has decreased. It is established that in the studied years the significance of the parameters for the formation of winter wheat yield remained, the degree of their influence and sometimes the nature of the direction of the relationship changed. The optimal parameters of indicators of soil organic matter in the arable layer of chernozem typical for obtaining the yield of winter wheat Synthetic 5.45-7.24 t/ha in a favorable by hydrothermal conditions year and 4.78-7.19 t/ha in a dry year were established.

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