scholarly journals Wheat yield prediction in relation to climatic parameters using statistical model for Ludhiana district of central Punjab

2021 ◽  
Vol 23 (1) ◽  
pp. 122-126
Author(s):  
MAHESH CHAND SINGH ◽  
VAJINDER PAL ◽  
SOM PAL SINGH ◽  
SANJAY SATPUTE
Keyword(s):  
Crop Production ◽  
Production Management ◽  
Wheat Yield ◽  
Climatic Conditions ◽  
Wheat Crop ◽  
Climatic Data ◽  
Strong Positive Correlation ◽  
Policy Makers ◽  
Production Management System ◽  
Main Determinants

Climate change which is one of the main determinants of agricultural production has started affecting the crop growth pattern and yield from past couple of decades in various agro-climatic zones globally. Under such scenario, the prior forecasting of yield of field crops such as wheat via modeling techniques can help in simplifying the crop production management system starting from farmer’s level to policy makers. The present study was thus undertaken to model the wheat yield of Ludhiana district of  Indian Punjab through regression analysis of historical data (1993-2017) of wheat yield and climatic conditions in the area. The developed model was successfully validated with a strong positive correlation (R2=0.81) between predicted and observed data. Both observed and predicted yields were having similar trend with a minimum and maximum absolute differential error of 0.1 and 13.9% respectively. The developed model may serve as a powerful tool for predicting the future yield of wheat crop with available futuristic climatic data of the study area.

scholarly journals DOES CONCOCTION OF ORGANIC AND INORGANIC FERTILIZATION HAVE POTENTIAL TO ENHANCE WHEAT YIELD?

2019 ◽  
Vol 52 (3) ◽  
pp. 312-319
Author(s):  
A. JAMAL ◽  
D. MUHAMMAD ◽  
M. FAWAD
Keyword(s):  
Crop Production ◽  
Nutrient Management ◽  
Wheat Yield ◽  
Crop Productivity ◽  
Growth And Yield ◽  
Wheat Crop ◽  
Agricultural System ◽  
Inorganic Fertilizers ◽  
Combined Application ◽  
Organic And Inorganic Fertilizers

Soil fertility and maximum crop production can only be achieved through proper fertilization. Proper and balanced fertilization have a considerably positive effect on plant growth and yield. Due to continuous use of chemical fertilizers, the organic matter and nutrient content of the soil decreased gradually. Therefore, in modern era, agriculture scientists are now engaged to establish an agricultural system, which can not only lower the production cost, but also conserve the natural resources. Soil, as a source of nutrients, must be protected from various kinds of external factors, especially from the addition of fertilizers in excessive rates. Any degradation in the quality of soil can significantly produce many undesirable changes in the environment and also reduces the overall crop yield. So, the concoction of organic and inorganic fertilization is an alternative and most effective method for sustainable and cost-effective management for maximum crop production, without effecting the environment. The Integrated Nutrient Management provides an excellent opportunity not only for sustainability of the soil, but also enhances the overall crop productivity. The present review study was carried out with the main aim to evaluate the role of combined application of organic and inorganic fertilizers on wheat crop production. The outcome of the study concluded that combined application of both organic and inorganic fertilizers significantly improve the wheat crop production, as compared with the sole application of either organic or inorganic fertilizers.

scholarly journals Machine learning reveals complex effects of climatic means and weather extremes on wheat yields during different plant developmental stages

2021 ◽  
Vol 169 (3-4) ◽  
Author(s):  
Florian Schierhorn ◽  
Max Hofmann ◽  
Taras Gagalyuk ◽  
Igor Ostapchuk ◽  
Daniel Müller
Keyword(s):  
Machine Learning ◽  
Winter Wheat ◽  
Developmental Stages ◽  
Crop Yields ◽  
Heat Waves ◽  
Wheat Yield ◽  
Climatic Conditions ◽  
Climatic Data ◽  
Weather Extremes ◽  
Tropical Night

AbstractRising weather volatility poses a growing challenge to crop yields in many global breadbaskets. However, empirical evidence regarding the effects of extreme weather conditions on crop yields remains incomplete. We examine the contribution of climate and weather to winter wheat yields in Ukraine, a leading crop exporter with some of the highest yield variabilities observed globally. We used machine learning to link daily climatic data with annual winter wheat yields from 1985 to 2018. We differentiated the impacts of long-term climatic conditions (e.g., temperature) and weather extremes (e.g., heat waves) on yields during the distinct developmental stages of winter wheat. Our results suggest that climatic and weather variables alone explained 54% of the wheat yield variability at the country level. Heat waves, tropical night waves, frost, and drought conditions, particularly during the reproductive and grain filling phase, constitute key factors that compromised wheat yields in Ukraine. Assessing the impacts of weather extremes on crop yields is urgent to inform strategies that help cushion farmers against growing production risks because these extremes will likely become more frequent and intense with climate change.

Validating the AquaCrop model for maize under different sowing dates

Water Policy ◽  
2018 ◽  
Vol 20 (4) ◽  
pp. 826-840 ◽  
Author(s):  
Waseem Raja ◽  
Raihana Habib Kanth ◽  
Purshotum Singh
Keyword(s):  
Crop Production ◽  
Canopy Cover ◽  
Climatic Conditions ◽  
Climatic Data ◽  
Production Risk ◽  
Sowing Dates ◽  
Aquacrop Model ◽  
Water Field ◽  
Using Data ◽  
Crop Growth Simulation

Abstract The crop growth simulation driven by daily climatic data can be used to predict the yield under varied climatic conditions. The simulation model can be exploited to reduce production risk and to evaluate the effect of soil, water, field management and climate on crop production. In this study, the FAO AquaCrop model was calibrated and validated for maize under varied sowing dates during 2012 and 2013. The experiment was conducted at Shalimar Campus of Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir during kharif seasons of 2012 and 2013. Calibration was done using data of 28 April sowing of 2012 and validation was done by using data of 10 May and 25 May sowing of 2012, and 28 April, 10 May and 25 May sowing of 2013. The simulated grain yield and crop water use was acceptable as root mean square error (RMSE) between simulated and measured observations was low (≤0.05 t ha−1 and ≤16.72 mm) with high coefficient of efficiency (0.99 and 0.71), respectively. The model also performed satisfactorily for the canopy cover and in-season biomass under varied sowing dates having RMSE ≤9.97% and ≤1.78 t ha−1, respectively.

Crop production under alternate rotations on a Dark Brown Chernozemic soil at Scott, Saskatchewan

1995 ◽  
Vol 75 (4) ◽  
pp. 789-794 ◽  
Author(s):  
S. A. Brandt ◽  
R. P. Zentner
Keyword(s):  
Crop Production ◽  
Wheat Yield ◽  
Soil Surface ◽  
Economic Loss ◽  
Tan Spot ◽  
Yield Variability ◽  
Wheat Crop ◽  
Yield Reduction ◽  
Alfalfa Hay ◽  
Wheat Stubble

Nine rotations of fallow (F), wheat (W), barley (B), canola (C) and alfalfa hay (H) were evaluated to determine whether alternating crops in rotation on Dark Brown soils increases yield or reduces yield variability. Enhanced yield could increase economic returns, while reduced yield variability could reduce risk of economic loss in individual years. Rotations used in the study were F–W, F–C, F–W–W, F–C–W, F–W–B, F–C–B, F–C–B–H, F–C–W–B–H–H, and continuous wheat. Rotation did not affect yield of wheat or canola grown on summerfallow. Yield and quality of wheat and barley grown on stubble were influenced by rotation. Wheat yield on wheat stubble averaged 1980 and 2160 kg ha−1 in the continuous wheat and F–W–W rotations, respectively, while wheat on canola stubble averaged 2340 and 2290 kg ha−1 in the F–C–W and F–C–W–B–H–H rotations. Most of the yield reduction with wheat on wheat stubble occurred during 1987–1991, when pre-seeding tillage on stubble was minimized. Leaf disease (tan spot and septoria) increased noticeably on wheat stubble during 1987–1991 compared with 1980–1986 or with wheat on canola stubble. Presumably, reduced tillage during 1987–1991 left more infected residue on the soil surface, where it could infect a succeeding wheat crop. Yield of canola relative to wheat during 1980–1991 was much higher than reported for this study during 1972–1979; this was likely due to better seedbed preparation and more effective weed control. Coefficients of variability (CV) for yield over years were 20–25% for canola; 27–30% for wheat on fallow; 24–31% for wheat on stubble; 23–34% for barley on stubble; and 51–63% for alfalfa hay. Calculated on a rotation basis, CV tended to be high in wheat monoculture rotations, particularly where summerfallow was eliminated, but tended to be lower where a mix of crops was grown. Implications for more widespread acceptance of extended cropping are discussed. Key words: Crop rotation, wheat, barley, canola, alfalfa, rotation effect, yield variability

scholarly journals Potential soil moisture deficit: A useful approach to save water with enhanced growth and productivity of wheat crop

2021 ◽  
Author(s):  
Shahbaz Khan ◽  
Atif Rasool ◽  
Sohail Irshad ◽  
Muhammad Bilal Hafeez ◽  
Madad Ali ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Grain Yield ◽  
Crop Production ◽  
Field Experiments ◽  
Wheat Yield ◽  
Growth And Yield ◽  
Wheat Crop ◽  
Soil Moisture Deficit ◽  
Moisture Deficit ◽  
The Impact

Abstract Wheat is the main crop in the world ranks after rice and the largest grain source of Pakistan. Among several reasons for diminishing wheat yield in Pakistan, water stress throughout the growing season decreases crop production because of the short life span. Two years (2015–16 and 2016–17) field experiments were conducted to assess the impact of various water regimes (full irrigation, irrigation at 45, 60, and 75 mm potential soil moisture deficit (PSMD)) on the growth and yield of wheat. Maximum crop growth rate was recorded by application of irrigation at 45 mm PSMD. Application of irrigation at 45 mm PSMD ensured maximum radiation use efficiency regarding total dry matter production and grain yield. The maximum number of productive tillers, spike length, and grain yield were recorded under 45 mm PSDM treatment. The present results show that the effect of water is more pronounced regarding the growth and productivity of wheat. Application of irrigation at 45 mm PSMD ensures higher economical yield.

scholarly journals Study of Winter Wheat Yield Quality Analysis at ARDS Turda

2016 ◽  
Vol 73 (2) ◽  
pp. 159
Author(s):  
Ovidiu Adrian Ceclan ◽  
Ionuţ Racz ◽  
Rozalia Kadar ◽  
Adina Varadi ◽  
Diana Hiriscau
Keyword(s):  
Winter Wheat ◽  
Quality Indicators ◽  
Active Substance ◽  
Wheat Yield ◽  
Climatic Conditions ◽  
Quality Analysis ◽  
Wheat Crop ◽  
Yield And Quality ◽  
Applied Technology ◽  
Fertilization Level

The purpose of this research is to study the potential for yield and quality indicators for winter wheat genotypes in terms of pedological and climate condition and applied technology, at ARDS Turda during 2014 – 2015. Depending on the climatic conditions that are associated with applied technology is a decisive factor in successful wheat crop for all genotypes that were studied at Ards Turda during the 2014 – 2016. That’s wy each genotype responded differently to the conditions of the ARDS Turda also through the two levels of fertilisations applied in the winter with fertilizers 20:20:0, 250 kg/ha assuring 50 kg/ha N and P active substance and second level of fertilisations with 150 kg/ha ammonium nitrate assuring 50 kg/ha N active substance. All genotype that were studied in terms of yield and quality indicators were influenced by the fertilization level. The influence of pedo-climatic conditions, applied technologies and fertilizers level at ARDS Turda showed that all genotypes with small yield had higher protein and gluten content respectively Zeleny index.

scholarly journals Different approaches on pre harvest forecasting of wheat yield

2015 ◽  
Vol 7 (2) ◽  
pp. 839-843
Author(s):  
Y. A. Garde ◽  
B. S. Dhekale ◽  
S. Singh
Keyword(s):  
Crop Yield ◽  
Crop Production ◽  
Function Analysis ◽  
Wheat Yield ◽  
National Income ◽  
Uttar Pradesh ◽  
Forecast Model ◽  
Wheat Crop ◽  
Yield Forecast ◽  
Rabi Crops

Agriculture is backbone of Indian economy, contributing about 40 per cent towards the Gross National Product and provide livelihood to about 70 per cent of the population. According to the national income published in Economic survey 2014-15, by the CSO, the share of agriculture in total GDP is 18 percent in 2013-14. The Rabi crops data released by the Directorate of Economics and Statistics recently indicates that the total area coverage has declined; area under wheat has gone down by 2.9 per cent. Therefore needs to be do research to study weathersituation and effect on crop production. Pre harvest forecasting is true essence, is a branch of anticipatory sciences used for identifying and foretelling alternative feasible future. Crop yield forecast provided useful information to farmers, marketers, government agencies and other agencies. In this paper Multiple Linear Regression (MLR) Technique and discriminant function analysis were derived for estimating wheat productivity for the district of Varanasi in eastern Uttar Pradesh. The value of Adj. R2 varied from 0.63 to 0.94 in different models. It is observed that high value of Adj. R2 in the Model-2 which indicated that it is appropriate forecast model than other models, also the value of RMSE varied from minimum 1.17 to maximum 2.47. The study revealed that MLR techniques with incorporating technical and statistical indicators (Model 2) was found to be better for forecasting of wheat crop yield on the basis of both Adjusted R2 and RMSE values.

ON THE ANALYSIS AND EVALUATION OF THE FINANCIAL ACTIVITIES OF AN ENTERPRISE IN THE TOKTOGUL REGION OF KYRGYZSTAN IN ACCORDANCE WITH INTERNATIONAL STANDARDS

2020 ◽  
Vol 2 (10) ◽  
pp. 77-79
Author(s):  
M. U. USUPOV ◽  
Keyword(s):  
Management System ◽  
Production Management ◽  
Organizational Structures ◽  
International Standards ◽  
Analysis And Evaluation ◽  
Financial Condition ◽  
Economic Entity ◽  
Production Management System ◽  
Provision Of Services

The article discusses the issues of improving the management of the financial condition of the economic entity, which change due to variable conditions of formation in organizational structures at the levels of levels, the production management system, the provision of services and the distribution of the company's profit. Such a management system can significantly affect the performance of the firm and accelerate the transition to international standards.

scholarly journals Fungicide Application Affects Nitrogen Utilization Efficiency, Grain Yield, and Quality of Winter Wheat

Agronomy ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1295
Author(s):  
Ahossi Patrice Koua ◽  
Mirza Majid Baig ◽  
Benedict Chijioke Oyiga ◽  
Jens Léon ◽  
Agim Ballvora
Keyword(s):  
Synergistic Effect ◽  
Grain Yield ◽  
Crop Production ◽  
Agronomic Traits ◽  
Yellow Rust ◽  
Wheat Yield ◽  
Utilization Efficiency ◽  
High Nitrogen ◽  
Available N ◽  
Fungicide Application

Nitrogen (N) is a vital component of crop production. Wheat yield varies significantly under different soil available N. Knowing how wheat responds to or interacts with N to produce grains is essential in the selection of N use efficient cultivars. We assessed in this study variations among wheat genotypes for productivity-related traits under three cropping systems (CS), high-nitrogen with fungicide (HN-WF), high-nitrogen without fungicide (HN-NF) and low-nitrogen without fungicide (LN-NF) in the 2015, 2016 and 2017 seasons. ANOVA results showed genotypes, CS, and their interactions significantly affected agronomic traits. Grain yield (GY) increased with higher leaf chlorophyll content, importantly under CS without N and fungicide supply. Yellow rust disease reduced the GY by 20% and 28% in 2015 and 2016, respectively. Moreover, averaged over growing seasons, GY was increased by 23.78% under CS with N supply, while it was greatly increased, by 52.84%, under CS with both N and fungicide application, indicating a synergistic effect of N and fungicide on GY. Fungicide supply greatly improved the crop ability to accumulate N during grain filling, and hence the grain protein content. Recently released cultivars outperformed the older ones in most agronomic traits including GY. Genotype performance and stability analysis for GY production showed differences in their stability levels under the three CS. The synergistic effect of nitrogen and fungicide on grain yield (GY) and the differences in yield stability levels of recently released wheat cultivars across three CS found in this study suggest that resource use efficiency can be improved via cultivar selection for targeted CS.

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