scholarly journals Identification of the most appropriate adaptation for rice and wheat in the face of climate change in eastern India

2021 ◽  
Author(s):  
Madhuri Dubey ◽  
Ashok Mishra ◽  
Rajendra Singh
Keyword(s):  
Climate Change ◽  
Food Security ◽  
Crop Yield ◽  
Negative Impact ◽  
Wheat Yield ◽  
Sowing Date ◽  
Irrigation Scheduling ◽  
Fertilizer Management ◽  
Eastern India ◽  
Adaptation Options

Abstract The changing climate affects natural resources that impart a negative impact on crop yield and food security. It is thus imperative to identify agro-climate wise, area-specific adaptation options to ensure food security. This study, therefore, evaluated some feasible adaptation options for two staple food grain crops, rice and wheat, in different agro-climatic regions (ACRs) of Eastern India. Alteration in transplanting date, seedling age, and fertilizer management (rate and split of fertilizer) for rice; and sowing date, fertilizer management, and deficit irrigation scheduling for wheat, are assessed as adaptation options. Crop environment and resource synthesis (DSSAT) model is used to simulate the crop yield using different plausible adaptation options to projected climate scenarios. Findings show that shifting transplanting/sowing date, and nitrogen fertilizer application at 120% of recommended nitrogen dose with four splits could be an effective adaptation for rice and wheat crops. Results also emphasize that transplanting of 18 days older seedlings may be beneficial in rice cultivation. In contrast, irrigation at a 30–40% deficit of maximum available water would sustain the wheat yield under climate change conditions. This study suggests the best combination of adaptation options under climate change conditions in diverse ACRs, which may assist agriculturists in coping with climate change.

scholarly journals Modeling the Impact of Climate Changes on Crop Yield: Irrigated vs. Non-Irrigated Zones in Mississippi

2021 ◽  
Vol 13 (12) ◽  
pp. 2249
Author(s):  
Sadia Alam Shammi ◽  
Qingmin Meng
Keyword(s):  
Climate Change ◽  
Crop Yield ◽  
Crop Yields ◽  
Negative Impact ◽  
Positive Impact ◽  
Information Criterion ◽  
Growing Season ◽  
Maximum Temperature ◽  
Linear Regression Models ◽  
The Impact

Climate change and its impact on agriculture are challenging issues regarding food production and food security. Many researchers have been trying to show the direct and indirect impacts of climate change on agriculture using different methods. In this study, we used linear regression models to assess the impact of climate on crop yield spatially and temporally by managing irrigated and non-irrigated crop fields. The climate data used in this study are Tmax (maximum temperature), Tmean (mean temperature), Tmin (minimum temperature), precipitation, and soybean annual yields, at county scale for Mississippi, USA, from 1980 to 2019. We fit a series of linear models that were evaluated based on statistical measurements of adjusted R-square, Akaike Information Criterion (AIC), and Bayesian Information Criterion (BIC). According to the statistical model evaluation, the 1980–1992 model Y[Tmax,Tmin,Precipitation]92i (BIC = 120.2) for irrigated zones and the 1993–2002 model Y[Tmax,Tmean,Precipitation]02ni (BIC = 1128.9) for non-irrigated zones showed the best fit for the 10-year period of climatic impacts on crop yields. These models showed about 2 to 7% significant negative impact of Tmax increase on the crop yield for irrigated and non-irrigated regions. Besides, the models for different agricultural districts also explained the changes of Tmax, Tmean, Tmin, and precipitation in the irrigated (adjusted R-square: 13–28%) and non-irrigated zones (adjusted R-square: 8–73%). About 2–10% negative impact of Tmax was estimated across different agricultural districts, whereas about −2 to +17% impacts of precipitation were observed for different districts. The modeling of 40-year periods of the whole state of Mississippi estimated a negative impact of Tmax (about 2.7 to 8.34%) but a positive impact of Tmean (+8.9%) on crop yield during the crop growing season, for both irrigated and non-irrigated regions. Overall, we assessed that crop yields were negatively affected (about 2–8%) by the increase of Tmax during the growing season, for both irrigated and non-irrigated zones. Both positive and negative impacts on crop yields were observed for the increases of Tmean, Tmin, and precipitation, respectively, for irrigated and non-irrigated zones. This study showed the pattern and extent of Tmax, Tmean, Tmin, and precipitation and their impacts on soybean yield at local and regional scales. The methods and the models proposed in this study could be helpful to quantify the climate change impacts on crop yields by considering irrigation conditions for different regions and periods.

Adapting to climate change for food security in the Rift Valley dry lands of Ethiopia: supplemental irrigation, plant density and sowing date

2016 ◽  
Vol 155 (5) ◽  
pp. 703-724 ◽  
Author(s):  
A. MULUNEH ◽  
L. STROOSNIJDER ◽  
S. KEESSTRA ◽  
B. BIAZIN
Keyword(s):  
Climate Change ◽  
Food Security ◽  
Plant Density ◽  
Maize Yield ◽  
Sowing Date ◽  
Supplemental Irrigation ◽  
Dry Spells ◽  
Negative Impacts ◽  
Improve Food Security ◽  
Impacts Of Climate Change

SUMMARYStudies on climate impacts and related adaptation strategies are becoming increasingly important to counteract the negative impacts of climate change. In Ethiopia, climate change is likely to affect crop yields negatively and therefore food security. However, quantitative evidence is lacking about the ability of farm-level adaptation options to offset the negative impacts of climate change and to improve food security. The MarkSim Global Climate Model weather generator was used to generate projected daily rainfall and temperature data originally taken from the ECHAM5 general circulation model and ensemble mean of six models under high (A2) and low (B1) emission scenarios. The FAO AquaCrop model was validated and subsequently used to predict maize yields and explore three adaptation options: supplemental irrigation (SI), increasing plant density and changing sowing date. The maximum level of maize yield was obtained when the second level of supplemental irrigation (SI2), which is the application of irrigation water when the soil water depletion reached 75% of the total available water in the root zone, is combined with 30 000 plants/ha plant density. It was also found that SI has a marginal effect in good rainfall years but using 94–111 mm of SI can avoid total crop failure in drought years. Hence, SI is a promising option to bridge dry spells and improve food security in the Rift Valley dry lands of Ethiopia. Expected longer dry spells during the shorter rainy season (Belg) in the future are likely to further reduce maize yield. This predicted lower maize production is only partly compensated by the expected increase in CO2 concentration. However, shifting the sowing period of maize from the current Belg season (mostly April or May) to the first month of the longer rainy season (Kiremt) (June) can offset the predicted yield reduction. In general, the present study showed that climate change will occur and, without adaptation, will have negative effects. Use of SI and shifting sowing dates are viable options for adapting to the changes, stabilizing or increasing yield and therefore improving food security for the future.

Coastal Poverty, Resource-Dependent Livelihood, Climate Change, and Adaptation

2017 ◽  
pp. 797-812
Author(s):  
Jyotish Prakash Basu
Keyword(s):  
Climate Change ◽  
Food Security ◽  
Policy Implications ◽  
Fuel Wood ◽  
Self Help ◽  
Fishing Resources ◽  
And Migration ◽  
Self Help Groups ◽  
Livestock Rearing ◽  
Adaptation Options

Millions of people in Sunderbans generate their livelihood and sustenance through fishing, honey collection, fuel wood and timber. The paper attempts to examine the issues of coastal poverty, food security as well as livelihood insecurity and the adaptation options that help to the resilience of climate change. The paper is based on field survey conducted in the villages of Sunderans in 2011. The study revealed that fishing and crab collection, honey collection are the important sources of livelihood. The fishing resources have been declining which leads to the insecurity of livelihoods of the fishing communities. The study has identified the key adaptations like dependency of money lenders, fishing and crab collection, formation of Self Help Groups, livestock rearing and migration. This paper has important policy implications for poverty, livelihood vulnerability and migration.

scholarly journals Impact of Climate Change on Crops Adaptation and Strategies to Tackle Its Outcome: A Review

Plants ◽  
2019 ◽  
Vol 8 (2) ◽  
pp. 34 ◽  
Author(s):  
Ali Raza ◽  
Ali Razzaq ◽  
Sundas Mehmood ◽  
Xiling Zou ◽  
Xuekun Zhang ◽  
...  
Keyword(s):  
Climate Change ◽  
Food Security ◽  
Crop Production ◽  
Climate Changes ◽  
Heat Waves ◽  
Negative Impact ◽  
Global Climate ◽  
Climate Change Impacts ◽  
Annual Rainfall ◽  
Ozone Level

Agriculture and climate change are internally correlated with each other in various aspects, as climate change is the main cause of biotic and abiotic stresses, which have adverse effects on the agriculture of a region. The land and its agriculture are being affected by climate changes in different ways, e.g., variations in annual rainfall, average temperature, heat waves, modifications in weeds, pests or microbes, global change of atmospheric CO2 or ozone level, and fluctuations in sea level. The threat of varying global climate has greatly driven the attention of scientists, as these variations are imparting negative impact on global crop production and compromising food security worldwide. According to some predicted reports, agriculture is considered the most endangered activity adversely affected by climate changes. To date, food security and ecosystem resilience are the most concerning subjects worldwide. Climate-smart agriculture is the only way to lower the negative impact of climate variations on crop adaptation, before it might affect global crop production drastically. In this review paper, we summarize the causes of climate change, stresses produced due to climate change, impacts on crops, modern breeding technologies, and biotechnological strategies to cope with climate change, in order to develop climate resilient crops. Revolutions in genetic engineering techniques can also aid in overcoming food security issues against extreme environmental conditions, by producing transgenic plants.

scholarly journals Effects of climate change and adaptation options on winter wheat yield under rainfed Mediterranean conditions in southern Portugal

2019 ◽  
Vol 154 (1-2) ◽  
pp. 159-178 ◽  
Author(s):  
Chenyao Yang ◽  
Helder Fraga ◽  
Wim van Ieperen ◽  
Henrique Trindade ◽  
João A. Santos
Keyword(s):  
Climate Change ◽  
Winter Wheat ◽  
Wheat Yield ◽  
Winter Wheat Yield ◽  
Southern Portugal ◽  
Adaptation Options ◽  
Mediterranean Conditions

Verteilungskonflikte durch die Klimaschutzpolitik – Verschärft die EU die Hungerproblematik?

2011 ◽  
Vol 60 (3) ◽  
Author(s):  
Gernot Klepper ◽  
Mareike Lange
Keyword(s):  
Climate Change ◽  
Food Security ◽  
Negative Impact ◽  
Food Prices ◽  
Climate Mitigation ◽  
Tropical Regions ◽  
Price Increases ◽  
Cost Of Energy ◽  
World Markets ◽  
The Cost

AbstractClimate change is one of the grand challenges of this century, but so is the eradication of hunger which is still present for roughly one billion people mainly in tropical countries. Both climate change and climate mitigation have an impact on the availability of food, especially in those regions that are particularly poor. Climate change is expected to affect most strongly the tropical regions thus reducing further the availability of suitable production conditions for agriculture. Climate mitigation can reduce the climate induced risk to food security, at the same time it has also a negative impact on food prices. First of all, climate policies raise the cost of energy which is an important component of the cost of agriculture. More importantly, many countries join the EU in supporting bioenergy production which directly competes with food production thus raising food prices. The world’s poor are most affected by such price increases since they spend most of their income on food products. Thus, increasing food prices directly translate into increasing hunger for those people. The current EU bioenergy policies are not yet strong enough to have a large impact on world markets. However, in the future bioenergy may pose a threat to food security for the poor.

scholarly journals Analysis of meteorological variations on wheat yield and its estimation using remotely sensed data. A case study of selected districts of Punjab Province, Pakistan (2001-14)

2017 ◽  
Vol 12 (3) ◽  
Author(s):  
Rafia Mumtaz ◽  
Shahbaz Baig ◽  
Iram Fatima
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Crop Yield ◽  
Vegetation Index ◽  
Wheat Yield ◽  
Least Square ◽  
Wheat Crop ◽  
Main Challenge ◽  
Normalised Difference Vegetation Index ◽  
The Impact

Land management for crop production is an essential human activity that supports life on Earth. The main challenge to be faced by the agriculture sector in coming years is to feed the rapidly growing population while maintaining the key resources such as soil fertility, efficient land use, and water. Climate change is also a critical factor that impacts agricultural production. Among others, a major effect of climate change is the potential alterations in the growth cycle of crops which would likely lead to a decline in the agricultural output. Due to the increasing demand for proper agricultural management, this study explores the effects of meteorological variation on wheat yield in Chakwal and Faisalabad districts of Punjab, Pakistan and used normalised difference vegetation index (NDVI) as a predictor for yield estimates. For NDVI data (2001-14), the NDVI product of Moderate Resolution Imaging spectrometer (MODIS) 16-day composites data has been used. The crop area mapping has been realised by classifying the satellite data into different land use/land covers using iterative self-organising (ISO) data clustering. The land cover for the wheat crop was mapped using a crop calendar. The relation of crop yield with NDVI and the impact of meteorological parameters on wheat growth and its yield has been analysed at various development stages. A strong correlation of rainfall and temperature was found with NDVI data, which determined NDVI as a strong predictor of yield estimation. The wheat yield estimates were obtained by linearly regressing the reported crop yield against the time series of MODIS NDVI profiles. The wheat NDVI profiles have shown a parabolic pattern across the growing season, therefore parabolic least square fit (LSF) has been applied prior to linear regression. The coefficients of determination (<em>R</em><sup>2</sup>) between the reported and estimated yield was found to be 0.88 and 0.73, respectively, for Chakwal and Faisalabad. This indicates that the method is capable of providing yield estimates with competitive accuracies prior to crop harvest, which can significantly aid the policy guidance and contributes to better and timely decisions.

Coastal Poverty, Resource-Dependent Livelihood, Climate Change, and Adaptation

2016 ◽  
pp. 441-454
Author(s):  
Jyotish Prakash Basu
Keyword(s):  
Climate Change ◽  
Food Security ◽  
Policy Implications ◽  
Fuel Wood ◽  
Self Help ◽  
Fishing Resources ◽  
And Migration ◽  
Self Help Groups ◽  
Livestock Rearing ◽  
Adaptation Options

Millions of people in Sunderbans generate their livelihood and sustenance through fishing, honey collection, fuel wood and timber. The paper attempts to examine the issues of coastal poverty, food security as well as livelihood insecurity and the adaptation options that help to the resilience of climate change. The paper is based on field survey conducted in the villages of Sunderans in 2011. The study revealed that fishing and crab collection, honey collection are the important sources of livelihood. The fishing resources have been declining which leads to the insecurity of livelihoods of the fishing communities. The study has identified the key adaptations like dependency of money lenders, fishing and crab collection, formation of Self Help Groups, livestock rearing and migration. This paper has important policy implications for poverty, livelihood vulnerability and migration.

Effect of Global Warming on Food Security

2022 ◽  
pp. 115-133
Author(s):  
Arti Yadav ◽  
Badar Alam Iqbal
Keyword(s):  
Climate Change ◽  
Global Warming ◽  
Food Security ◽  
Developing Economies ◽  
Negative Impact ◽  
Point Of View ◽  
Security Level ◽  
Indian Food ◽  
Agricultural Yields ◽  
The Impact

This chapter will aim to explicate the challenges posed by global warming or the climate change conditions on food security especially from the point of view of India. The negative impact of global warming has been seen, especially in developing economies, on the agricultural yields leading towards food insecurity. The four pillars of food security (i.e., availability, accessibility, utilization, and stability) are having an impact on climate change. The present study will begin by highlighting the concept of global warming. It will further provide an overview of the Indian food security system followed by the impact of global warming on the food security level in India. The study will also highlight the global warming and food security scenario in the present situation of the ongoing COVID-19 pandemic in India.

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