scholarly journals Wheat Production Simulation Based on the ALMANAC Model of North China Region

2013 ◽  
Vol 2 (3) ◽  
pp. 148 ◽  
Author(s):  
Liming Rong ◽  
Chengliang Zhang ◽  
Xuexia Zhang ◽  
Shineng Wu ◽  
Zijun Wang
Keyword(s):  
Climate Change ◽  
Technological Progress ◽  
North China ◽  
Agricultural Land ◽  
Climatic Factors ◽  
Wheat Yield ◽  
Dominant Factor ◽  
Wheat Production ◽  
North China Region ◽  
China Region

<p>Wheat (<em>Triticumaestivum</em>) is one of the world's three major food crops, whose production is related to regional food security issues. Studies have shown that technological progress and climate change have a significant impact on wheat yield. We selected North China region as the study site because it is the main producer of wheat and because it experiences active climate change. Using the Agricultural Land Management Alternatives with Numerical Assessment Criteriamodel and statistical analysis method, the following factors were considered to determine the dominant factor that affects wheat production: temperature, precipitation, sunshine, and other climatic factors, mechanical power, irrigation area, chemical fertilizer amount, reservoir total storage capacity, and other technical factors.Results showed that wheat productionis affected by both climatic and non-climatic factors in North China region. Increased temperature has a positive impact on wheat production, whereas reduceds unshine has a negative effect. Warm and dry climate trends areconducive to wheat production. Mechanical tillage and fertilization, irrigation, and water conditions are conducive to the production of wheat, among which water condition has the most significant effect onwheat yield improvement. Compared withthe effects of climaticfactors, those of technical factors are more obvious and direct. In the premise of guaranteed technical conditions, the impactof climate changeonwheat production is more evidentindeveloped areas. Underdeveloped areas of wheat production are more dependent on technological progress; in particular, they rely on the use of chemical fertilizers.</p><p> </p>

scholarly journals Wheat Yield Responses to Rising Temperature: Insights from North Indian Plains of India

2021 ◽  
Author(s):  
Philip Kuriachen ◽  
Asha Devi ◽  
Anu Susan Sam ◽  
Suresh Kumar ◽  
Jyoti Kumari ◽  
...  
Keyword(s):  
Climate Change ◽  
Management Practices ◽  
Climatic Factors ◽  
Technological Development ◽  
Wheat Yield ◽  
Significant Rise ◽  
Yield Reduction ◽  
Growth Stages ◽  
Annual Increment ◽  
The Impact

Abstract Climate change and consequent variations in temperature pose a significant challenge for sustaining wheat production systems globally. In this study, the potential impact of rising temperature on wheat yield in the north Indian plains, India's major wheat growing region, was analyzed using panel data from the year 1981 to 2009. This study deviates from the majority of the previous studies by including non-climatic factors in estimating the impact of climate change. Two temperature measures were used for fitting the function, viz., Growing Season Temperature (GST) and Terminal Stage Temperature (TST), to find out the differential impact of increased temperature at various growth stages. Analysis revealed that there was a significant rise in both GST as well as TST during the study period. The magnitude of the annual increment in TST was twice that of GST. Wheat yield growth in the region was driven primarily by increased input resources such as fertilizer application and technological development like improved varieties and management practices. Most importantly, the study found that the extent of yield reduction was more significant for an increase in temperature at terminal crop growth stages. The yield reduction due to unit increase in TST was estimated to be 2.26 % while rise in GST by 1◦C resulted in yield reduction of 2.03%.

scholarly journals Determination and Assessments the Yield Gap Between the Wheat Yield and Potential Yield in Turkey

2018 ◽  
Vol 6 (10) ◽  
pp. 1339
Author(s):  
Bekir Atar
Keyword(s):  
Climatic Factors ◽  
Wheat Yield ◽  
Growing Season ◽  
Steady Increase ◽  
Yield Gap ◽  
Potential Production ◽  
Potential Yield ◽  
Genetic Characteristics ◽  
Wheat Production ◽  
Actual Yield

Knowing the current and the potential production amount of wheat is essential to meet the growing needs. Yield is determined by many factors. The main factors that limit the potential yield are genetic characteristics, and climatic factors such as rainfall and radiation, and management. Wheat is mostly grown in non-irrigated areas in Turkey. The most significant factors that limit dry agriculture wheat production yield in the Mediterranean climatic type are rainfall and its distribution in the growing season. A steady increase in yield is observed in Turkey in recent years. Average annual wheat production is 20.6 million tons. The potential production in this work is determined as 54 million tons. The gap is about 33 million ton. The actual production is 39% of the potential production. The average yield of the Growing Season Rainfall (GSRF) 500 mm areas is 2.2 t ha-1, and the potential yield is 8.8 t ha-1. The gap between the actual yield and potential yield is quite large. The current yield between the areas (GSRF 500 mm) is very small. So it is difficult to explain the gap just because of the rainfall.

Disease–weather relationships for wheat powdery mildew under climate change in China

2017 ◽  
Vol 155 (8) ◽  
pp. 1239-1252
Author(s):  
L. ZHANG ◽  
B. Y. YANG ◽  
S. LI ◽  
A. H. GUO
Keyword(s):  
Climate Change ◽  
Powdery Mildew ◽  
Climatic Factors ◽  
Wheat Yield ◽  
Disease Process ◽  
Assessment Method ◽  
Climatic Variables ◽  
Weather Factors ◽  
Wheat Powdery Mildew ◽  
Multiple Stepwise Regression Analysis

SUMMARYLittle is known about the quantitative relationships between wheat powdery mildew (Blumeria graminis f.sp. tritici) epidemics and climatic variables at the provincial scale in China, particularly under climate change. The present study assesses the actual disease process and corresponding impact on wheat yield and addresses climatic-driven variables that affect a powdery mildew epidemic. Powdery mildew increased in frequency from 1981 to 2010, and wheat yield decreased in most regions. It was clear that differences in disease and yield loss occurred temporally and spatially. Although particular weather variables were positively or negatively related to the disease, multiple stepwise regression analysis indicated that mostly fewer than three variables affected prevalence and severity of powdery mildew in each province. In most cases, some combination of higher temperature, humidity, rainfall and wind led to higher disease severity. These weather factors had different effects on disease development. The influence of climatic variables on powdery mildew tended to decrease from 1981 to 2010, whereas the effect of non-climatic factors increased and was attributed mainly to the use of fungicides and resistant cultivars. Therefore, the results of the current study suggest that wheat powdery mildew in China will not increase consistently in the future. In addition, the quantitative assessment method used in the current study can generally provide a good way to identify disease epidemics under climate change.

scholarly journals Responses of Winter Wheat Yield to Drought in the North China Plain: Spatial–Temporal Patterns and Climatic Drivers

Water ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3094
Author(s):  
Jianhua Yang ◽  
Jianjun Wu ◽  
Leizhen Liu ◽  
Hongkui Zhou ◽  
Adu Gong ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Time Scale ◽  
North China Plain ◽  
North China ◽  
Climatic Factors ◽  
Wheat Yield ◽  
Response Patterns ◽  
The North ◽  
The North China Plain ◽  
Winter Wheat Yield

Understanding the winter wheat yield responses to drought are the keys to minimizing drought-related winter wheat yield losses under climate change. The research goal of our study is to explore the response patterns of winter wheat yield to drought in the North China Plain (NCP) and then further to study which climatic factors drive the response patterns. For this purpose, winter wheat yield was simulated by the Environmental Policy Integrated Climate (EPIC) crop model. Drought was quantified by standardized precipitation evapotranspiration index (SPEI), and the contributions of the various climatic factors were evaluated using predictive discriminant analysis (PDA) method. The results showed that the responses of winter wheat yield to different time-scale droughts have obvious spatial differences from the north part to the south part in the NCP. Winter wheat yield is more sensitive to the medium (6–9 months) and long (9–12 months) time-scale droughts that occurred in the key growth periods (April and May). The different response patterns of winter wheat yield to the different time-scale droughts are mainly controlled by temperature and water balance (precipitation minus potential evapotranspiration) in winter in the NCP. Compared with the water balance, temperature plays a more important role in driving the response pattern characteristics. These findings can provide a reference on how to reduce drought influences on winter wheat yield in the NCP.

Selecting traits to increase winter wheat yield under climate change in the North China Plain

2017 ◽  
Vol 207 ◽  
pp. 30-41 ◽  
Author(s):  
Qin Fang ◽  
Xiying Zhang ◽  
Suying Chen ◽  
Liwei Shao ◽  
Hongyong Sun
Keyword(s):  
Climate Change ◽  
Winter Wheat ◽  
North China Plain ◽  
North China ◽  
Wheat Yield ◽  
The North ◽  
The North China Plain ◽  
Winter Wheat Yield

scholarly journals Understanding meteorological influences on PM<sub>2.5</sub> concentrations across China: a temporal and spatial perspective

2018 ◽  
Vol 18 (8) ◽  
pp. 5343-5358 ◽  
Author(s):  
Ziyue Chen ◽  
Xiaoming Xie ◽  
Jun Cai ◽  
Danlu Chen ◽  
Bingbo Gao ◽  
...  
Keyword(s):  
North China ◽  
Meteorological Factors ◽  
Mapping Method ◽  
National Scale ◽  
The North ◽  
Spatial Differences ◽  
Meteorological Influences ◽  
Temporal And Spatial ◽  
North China Region ◽  
China Region

Abstract. With frequent air pollution episodes in China, growing research emphasis has been put on quantifying meteorological influences on PM2.5 concentrations. However, these studies mainly focus on isolated cities, whilst meteorological influences on PM2.5 concentrations at the national scale have not yet been examined comprehensively. This research employs the CCM (convergent cross-mapping) method to understand the influence of individual meteorological factors on local PM2.5 concentrations in 188 monitoring cities across China. Results indicate that meteorological influences on PM2.5 concentrations have notable seasonal and regional variations. For the heavily polluted North China region, when PM2.5 concentrations are high, meteorological influences on PM2.5 concentrations are strong. The dominant meteorological influence for PM2.5 concentrations varies across locations and demonstrates regional similarities. For the most polluted winter, the dominant meteorological driver for local PM2.5 concentrations is mainly the wind within the North China region, whilst precipitation is the dominant meteorological influence for most coastal regions. At the national scale, the influence of temperature, humidity and wind on PM2.5 concentrations is much larger than that of other meteorological factors. Amongst eight factors, temperature exerts the strongest and most stable influence on national PM2.5 concentrations in all seasons. Due to notable temporal and spatial differences in meteorological influences on local PM2.5 concentrations, this research suggests pertinent environmental projects for air quality improvement should be designed accordingly for specific regions.

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