Characteristics of Climate Change in Sowing Period of Winter Crops

2015 ◽  
Vol 6 (3) ◽  
pp. 203
Author(s):  
Kyo Moon Shim ◽  
Yong Seok Kim ◽  
Myung Pyo Jeong ◽  
In Tae Choi
Author(s):  
N. V. Danilova

Climate change is a change of climatic conditions in the global atmosphere and on the Earth in general (or within its individual zones or territories) caused directly or indirectly due by the human activity on the planet, which are overlaid on the natural climatic variations (fluctuations) and ob-served during comparable periods of time.    Both the climate of Ukraine and the global climate are changing, but warming within our terri-tory progresses even faster than in other regions of the Northern Hemisphere. Ukraine in general and southern regions in particular are becoming increasingly vulnerable to climate change – droughts, extremely high temperatures, inefficient precipitation, reduced irrigated area cause of precipitation amount and regime, severer and more long-lasting droughts, reduced water availability. The majority of arable land in Ukraine are located in zones of unstable and insufficient humidity, it is quite possible that for plant growing, especially for growing winter crops and early spring crops, climate change will rather have a positive effect than negative one. Among the main types of cereals millet is the most common one. It is valuable for its groats, which is known by its high eating quality. Millet as a fast-growing crop having a certain agrotechnical importance: it is used as a backup crop for re-sowing dead winter crops and is suitable for stubble and post-harvest sowing, it also can be used as a cover culture for perennial grass. Millet is one of the most drought-resistant and heat-resistant crops. It is able to withstand heat injuries which is very important in arid areas and during dry years, when other grain crops have reduced yield. Millet suffers less from pests and diseases than other crops. The task was to evaluate the agro-climatic conditions of millet crops formation in the central part of Ukraine under conditions of climate change. The study of the impact of climate change on the formation of millet productivity for different time intervals was performed by comparing the data of the RCP scenario and the average long-term climatic and agro-climatic parameters. The in-fluence of agroclimatic conditions on the dynamics of increase of agroecological yield of different levels is also assessed.


2017 ◽  
Vol 146 (1-2) ◽  
pp. 247-261 ◽  
Author(s):  
Claudio O. Stöckle ◽  
Stewart Higgins ◽  
Roger Nelson ◽  
John Abatzoglou ◽  
Dave Huggins ◽  
...  

2012 ◽  
Vol 9 (11) ◽  
pp. 4487-4496 ◽  
Author(s):  
N. J. Hutchings ◽  
G. J. Reinds ◽  
A. Leip ◽  
M. Wattenbach ◽  
J. F. Bienkowski ◽  
...  

Abstract. Complex dynamic models of carbon and nitrogen are often used to investigate the consequences of climate change on agricultural production and greenhouse gas emissions from agriculture. These models require high temporal resolution input data regarding the timing of field operations. This paper describes the Timelines model, which predicts the timelines of key field operations across Europe. The evaluation of the model suggests that while for some crops a reasonable agreement was obtained in the prediction of the times of field operations, there were some very large differences which need to be corrected. Systematic variations in the date of harvesting and in the timing of the first application of N fertiliser to winter crops need to be corrected and the prediction of soil workability and trafficability might enable the prediction of ploughing and applications of solid manure in preparation for spring crops. The data concerning the thermal time thresholds for sowing and harvesting underlying the model should be updated and extended to a wider range of crops.


2021 ◽  
Vol 70 (1) ◽  
pp. 41-59
Author(s):  
Ružica Stričević ◽  
Mirjam Vujadinović-Mandić ◽  
Nevenka Đurović ◽  
Aleksa Lipovac

Frequent occurrence of droughts over the last two decades, as well as increases in the air temperature increase have led to the rise farmers' concerns that field crop production would not be possible without irrigation. The aim of this research is to assess how two adaptation measures, sowing dates and irrigation and water excess impacts the yields of wheat, maize and sunflower in Serbia. In order to assess the future of climatic condition five representative locations have been selected for the analysis (Novi Sad, Valjevo, Kragujevac, Negotic and Leskovac). For the analysis of future climatic conditions, results of the ensemble of nine regional climate models from the Euro-CORDEX database were used. The period between 1986 and 2005 was used as a reference, while time slices in the future are: 2016-2035 (near future), 2046-2065 (mid-century) and 2081-2100 (end of the century). Analyses were made for the scenario of GHG emmisions RCP8.5. Aquacrop model v.6.1 was used for the yield, sowing period, and irrigation requirement assessment. The analysis and the results have indicated that earlier start of the growing season of maize and sunflower for 5, 11 and 19 days in near future, mid and end of the century, respectively, whereas optimal sowing period for rainfed wheat will vary from September 20 to November 30, depending on rainfall occurrence, and for irrigated one in optimal sowing period (beginning of October). The warmer climate will shorten the growing cycle of all studied crops. However, the shortening significantly differs among locations. The growing cycle of maize shortened from 34 up to 48 days in Valjevo in near future through the end of the century, while in Negotin it could be less only for 6 days. The increase in air temperature and earlier start of the growing season will enable the most sensitive phenophases, flowering and fruit formation, to appear in a period of more favorable weather conditions, together with the increase in CO2 concentration, can help mitigate the negative impact of the climate change, so that there will be no reduction in sunflower yields. Slight increment of sunflower yields could be expected by the end of century (2.3 - 13.8%), whereas yield of maize will remain on the present level. The increase of wheat yield could be expected only in the near future (up to 8.3 %), but also it can be reduced at some locations by the end of the century. Irrigation water requirements of all studied crops will remain at the same level the same level as the present, but only if sowing applied in the optimal period. Although it is known that irrigation changes microclimatic conditions, ie., the air humidity increases, and the air temperature decreases (the so-called oasis effect), which can affect the extension of the vegetation period, and thus the increase in yield. Such subtle changes in the microclimate cannot be "recognized" by models, so even simulated yields cannot be fully (accurately) predicted. This research come to the conclusion that in addition to irrigation, shifting the sowing dates earlier can have an impact on mitigating the consequences of climate change in crop production, which is of great importance for areas where there is not enough water for irrigation. The risk of drought will exist on shallow and sandy soils as well as on overwetted lands that cannot be plowed until drained to be sown in optimal terms and all crops sown in the late spring.


2019 ◽  
Vol 11 (4) ◽  
pp. 1177-1190 ◽  
Author(s):  
S. S. Sandhu ◽  
Prabhjyot Kaur ◽  
K. K. Gill ◽  
B. B. Vashisth

Abstract The productivity of wheat is highly vulnerable to climate change. Optimizing the sowing period of a crop may be one of the most important climate resilient strategies to optimize yield. First, the CERES-Wheat model was used to analyze effects of climate change on the optimum sowing window of wheat. Second, it was used to determine the optimum sowing window for different zones within Punjab state, India. The simulation results suggested that climate change has caused a shift in the optimum sowing window of wheat. The current (2006–2015 weather data) optimum sowing window is 22–28 October in north eastern Punjab, 24–30 October in central Punjab, and 21–27 October in south western Punjab. The rate of decrease in productivity with delay in sowing from the optimum sowing window by each day was lowest for north eastern Punjab (36.09 kg ha−1 day−1) and highest for south western Punjab (70.80 kg ha−1 day−1). The methodology followed in this study can be useful in determining the optimum sowing time of various crops.


2012 ◽  
Vol 9 (8) ◽  
pp. 10583-10614 ◽  
Author(s):  
N. J. Hutchings ◽  
G. J. Reinds ◽  
A. Leip ◽  
M. Wattenbach ◽  
J. F. Bienkowski ◽  
...  

Abstract. Complex dynamic models of carbon and nitrogen are often used to investigate the consequences of climate change on agricultural production and greenhouse gas emissions from agriculture. These models require high temporal resolution input data regarding the timing of field operations. This paper describes the Timelines model, which predicts the timelines of key field operations across Europe. The evaluation of the model suggests that it is broadly capable of simulating the timing of field operations for a range of arable crops at different locations. Systematic variations in the date of harvesting and in the timing of the first application of N fertiliser to winter crops need to be corrected and the prediction of soil workability and trafficability might enable the prediction of ploughing and applications of solid manure in preparation for spring crops. The data concerning the thermal time thresholds for sowing and harvesting underlying the model should be updated and extended to a wider range of crops.


Author(s):  
M. Moriondo ◽  
M. Bindi ◽  
L. Brilli ◽  
S. Costafreda-Aumedes ◽  
C. Dibari ◽  
...  

AbstractThe impact of climate change on the agricultural systems of three major islands in the Mediterranean basin, namely Sicily, Crete and Cyprus, was evaluated using a suite of specifically calibrated crop models and the outputs of a regional circulation model for Representative Concentration Pathway (RCP) 4.5 and 8.5 downscaled to 12 km of resolution and tested for its effectiveness in reproducing the local meteorological data. The most important annual (wheat, barley, tomato and potato) and perennial (grapevine and olive tree) crops were selected to represent the agricultural systems of the islands. The same modelling framework was used to test the effectiveness of autonomous adaptation options, such as shifting sowing date and the use of varieties with different growing season length. The results highlighted that, on average, warmer temperatures advanced both anthesis and maturity of the selected crops, but at different magnitudes depending on the crop and the island. Winter crops (barley, wheat and potato) experienced the lowest impact in terms of yield loss with respect to the baseline, with even some positive effects, especially in Sicily where both wheat and barley showed a general increase of 9% as compared to the baseline, while potato increased up to + 17%. Amongst perennial crops, olive tree showed low variation under RCP 4.5, but on average increased by 7% under RCP 8.5 on the three islands. Climate change had a detrimental effect specifically on tomato (− 2% on average in RCP 8.5 and 4.5 on the three islands) and grapevine (− 7%). The use of different sowing dates, or different varieties, revealed that for winter crops early autumn sowing is still the best option for producing wheat and barley in future periods on the three islands under both future scenarios. For tomato and potato, advancing sowing date to early winter is a winning strategy that may even increase final yield (+ 9% for tomato and + 17% for potato, on average). For grapevine, the use of late varieties, while suffering the most from increasing temperatures and reduced rainfall (− 15%, on average), is still a valuable option to keep high yield levels with respect to earlier varieties, which even if showing some increases with respect to the baseline have a generally much lower production level. The same may be applied to olive tree although the production differences between late and early varieties are less evident and climate change exerts a favourable influence (+ 4 and + 3% for early and late varieties, respectively).


2019 ◽  
Vol 3 (6) ◽  
pp. 723-729
Author(s):  
Roslyn Gleadow ◽  
Jim Hanan ◽  
Alan Dorin

Food security and the sustainability of native ecosystems depends on plant-insect interactions in countless ways. Recently reported rapid and immense declines in insect numbers due to climate change, the use of pesticides and herbicides, the introduction of agricultural monocultures, and the destruction of insect native habitat, are all potential contributors to this grave situation. Some researchers are working towards a future where natural insect pollinators might be replaced with free-flying robotic bees, an ecologically problematic proposal. We argue instead that creating environments that are friendly to bees and exploring the use of other species for pollination and bio-control, particularly in non-European countries, are more ecologically sound approaches. The computer simulation of insect-plant interactions is a far more measured application of technology that may assist in managing, or averting, ‘Insect Armageddon' from both practical and ethical viewpoints.


2019 ◽  
Vol 3 (2) ◽  
pp. 221-231 ◽  
Author(s):  
Rebecca Millington ◽  
Peter M. Cox ◽  
Jonathan R. Moore ◽  
Gabriel Yvon-Durocher

Abstract We are in a period of relatively rapid climate change. This poses challenges for individual species and threatens the ecosystem services that humanity relies upon. Temperature is a key stressor. In a warming climate, individual organisms may be able to shift their thermal optima through phenotypic plasticity. However, such plasticity is unlikely to be sufficient over the coming centuries. Resilience to warming will also depend on how fast the distribution of traits that define a species can adapt through other methods, in particular through redistribution of the abundance of variants within the population and through genetic evolution. In this paper, we use a simple theoretical ‘trait diffusion’ model to explore how the resilience of a given species to climate change depends on the initial trait diversity (biodiversity), the trait diffusion rate (mutation rate), and the lifetime of the organism. We estimate theoretical dangerous rates of continuous global warming that would exceed the ability of a species to adapt through trait diffusion, and therefore lead to a collapse in the overall productivity of the species. As the rate of adaptation through intraspecies competition and genetic evolution decreases with species lifetime, we find critical rates of change that also depend fundamentally on lifetime. Dangerous rates of warming vary from 1°C per lifetime (at low trait diffusion rate) to 8°C per lifetime (at high trait diffusion rate). We conclude that rapid climate change is liable to favour short-lived organisms (e.g. microbes) rather than longer-lived organisms (e.g. trees).


2001 ◽  
Vol 70 (1) ◽  
pp. 47-61 ◽  
Author(s):  
Robert Moss ◽  
James Oswald ◽  
David Baines

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