Effect of climate change on cash crops yield in Pakistan

2020 ◽  
Vol 13 (11) ◽  
Author(s):  
Haseeb Akbar ◽  
Shabbir H. Gheewala
Keyword(s):  
Climate Change ◽  
Cash Crops ◽  
Crops Yield

scholarly journals Herding in Crisis in the Himalaya

2020 ◽  
Vol 14 ◽  
pp. 28-36
Author(s):  
Jiban Mani Poudel
Keyword(s):  
Climate Change ◽  
State Intervention ◽  
Ethnographic Study ◽  
Community Forest ◽  
Private Lands ◽  
Cash Crops ◽  
The People ◽  
Border Policy ◽  
State Programs ◽  
The Himalaya

This paper focuses on the change and transformation of herding over the last seven decades to the Nhāson Valley of Manang based on an ethnographic study in 2018. The findings reveal that herding as a traditional source of living for the mountain dwellers, has gradually been transformed due to the linkage to wider political and economic processes, namely, the changes in open-border policy between China and Nepal, the intervention of state programs and its policies toward the people, the expansion of trade and business with tourism, commercialization of Himalayan herbs, climate change, and intervention of agroforestry in the community forest and plantation of high-value cash crops in private lands, youth opportunities to work in aboard. Hence, looking at herding by placing it in a particular place or in isolation by ignoring the wider political and economic processes is misleading, one-sided, and superficial. Moreover, the market economy and the state intervention have brought some new livelihood opportunities to the Himalayan dwellers, although the questions always remain in its sustainability.

scholarly journals EFFECT OF THE CHANGE OF CLIMATE INDICATORS ON AGRICULTURAL YIELDS IN SON LA

2017 ◽  
Vol 55 (6) ◽  
pp. 756
Author(s):  
Nguyen The Hung ◽  
Nguyen Huu Quyen
Keyword(s):  
Climate Change ◽  
Rice Yield ◽  
Climatic Factors ◽  
Annual Rainfall ◽  
Absolute Minimum ◽  
Spring Crop ◽  
Climate Indicators ◽  
Agricultural Yields ◽  
Crops Yield ◽  
Summer Crop

Due to climate change, the agro-climatic indicators in Son La province has changed in the following trends: (i) the total heat in the Winter - Spring crop and the Summer crop as well as the total annual heat have increased; (ii) The amount of time in a year with temperature below 20 degrees has shortened; the amount of time in a year with temperatures above 25 degrees has lengthened; (iii) the absolute minimum temperature tends to increase rapidly; (iv) the rainfall in Winter - Spring crop has increased slightly whereas the season rainfall and total annual rainfall tend to decrease. The climatic factors in Son La province obviously affect rice yield in the Winter - Spring crop, the Summer crop as well as corn and soybeans. However, compared with other crops, soybean yield is less related to climatic factors. There are major differences in climate characteristics between the high and the low crops yield year. However, these differences depend on the type of the crop and the harvest season.

Impact of climate change on the staple food crops yield in Ethiopia: implications for food security

2021 ◽  
Author(s):  
Ashenafi Yimam Kassaye ◽  
Guangcheng Shao ◽  
Xiaojun Wang ◽  
Eshetu Shifaw ◽  
Shiqing Wu
Keyword(s):  
Climate Change ◽  
Food Security ◽  
Food Crops ◽  
Staple Food ◽  
Impact Of Climate Change ◽  
Crops Yield

scholarly journals Impact of climate change on agricultural crops yield on the territory of the Republic of Armenia

2020 ◽  
Vol 223 ◽  
pp. 03019
Author(s):  
Varduhi Margaryan ◽  
Gennady Tsibulskii ◽  
Elena Fedotova
Keyword(s):  
Climate Change ◽  
Air Temperature ◽  
Crop Yields ◽  
Atmospheric Precipitation ◽  
Agricultural Crops ◽  
Yield Increase ◽  
Impact Of Climate Change ◽  
The Republic ◽  
Crops Yield ◽  
The Impact

The article assesses the change in air temperature and precipitation, and also examines the impact of climate change on crop yields in the Republic of Armenia. As a source of information, the actual data of agrometeorological observations of the GEO "Center for Hydrometeorology and Monitoring" of the Ministry of Environment of the Republic of Armenia and the National Statistical Service are used. As a result of the study, it turned out that there are trends towards an increase in the average annual values of air temperature and heat provision of crops (in total temperatures above 10.0 ° C). In the studied area, there are no regular changes in the amount of atmospheric precipitation over the year. The impact of climate change will only worsen and lead to various problems in water industry, agriculture, energy, health and other sectors. In the republic in 2000-2018 are observed of both the gross harvest and agricultural crops yield increase, with the exception of the tobacco crop. However, this does not mean that agricultural crops are not affected by climate change.

scholarly journals Effects of Fermenter Technology on the Yield of Various Crops in Khyber Pakhtunkhwa Pakistan

2019 ◽  
pp. 1-6
Author(s):  
Asmatullah . ◽  
Ayesha Khan ◽  
Urbooba Parvaiz ◽  
Rehmat Ullah
Keyword(s):  
T Test ◽  
Wheat Crop ◽  
Test Results ◽  
Khyber Pakhtunkhwa ◽  
Farming Community ◽  
Cash Crops ◽  
Increasing Demand ◽  
Crops Yield ◽  
Principle Objective

The principle objective of this research was to investigate the effects of fermenter technology on yield of various cash crops grown in Malakand division of Khyber Pakhtunkhwa Pakistan. A total of 128 farmers using fermenter technology in six districts of Malakand division were the universes of the study.50.8% of the farmers using fermenter were holding a land between the groups of 1.6 to 2.5 hectares. Majority of the farmer’s 84.4% source of awareness about the fermenter technology were extension worker. Major cash crops grown by the respondents in the study area were tomato, onion and wheat. T-test results reveal a highly significant (P=0.000) increase in yield of tomato, onion and wheat. On average 1668.868 kg ha-1 increased were recorded in tomato, 1293.478 kg  ha-1 increased in onion and 98.791 kg ha-1 in wheat crop. The finding of study suggests that various crops yield were increased with adopting fermenter technology. So the fermenter technology should be promoted and imparted to the entire farming community to meet with the increasing demand.

scholarly journals Exploring the possibilities of remote yield estimation using crop water requirements for area yield index insurance in a data-scarce dryland

2020 ◽  
Author(s):  
Emmanuel Eze ◽  
Atkilt Girma ◽  
Amanuel Zenebe ◽  
Jean Moussa Kourouma ◽  
Gebreyohannes Zenebe
Keyword(s):  
Climate Change ◽  
Index Insurance ◽  
Northern Ethiopia ◽  
Crop Water ◽  
Water Requirements ◽  
Crop Water Requirements ◽  
Cropping Season ◽  
Crops Yield ◽  
Semi Arid ◽  
Impacts Of Climate Change

Abstract The need for accurate and meaningful agricultural data as the means of making vibrant policies and informed decisions, is an increasing concern for policymakers in developing countries such as Ethiopia, where such information is usually scarce. In Ethiopia, the impacts of climate change on crops yields is rarely available at the lowest administrative levels such as wards/villages, for the benefits of the grassroots’ populace. Thus, this research sought to evaluate the use of crop water requirements in the estimation of crops’ yield. FAO’s CROPWAT 8.0 application was used to pre-determine the possibility, preceding the use of CROWRAYEM. Both CROPWAT and CROWRAYEM had high coefficients of determination, when tested with a survey data of barley and sorghum farmers’ yield for the 2015 to 2018 cropping season in semi-arid southern Tigray, northern Ethiopia. Furthermore, the infusion of the crop yield into a recently published area yield index insurance payout structure, increases the functionality of the proposed yield estimated model (CROWRAYEM).

scholarly journals Assessment of climate change and its impact on cashcrops in Lwang Ghalel of Kaski district

2013 ◽  
Vol 21 (1) ◽  
pp. 31-34 ◽  
Author(s):  
CB Khadka ◽  
MK Balla ◽  
KR Tiwari
Keyword(s):  
Climate Change ◽  
Crop Production ◽  
Meteorological Data ◽  
Household Survey ◽  
Primary Data ◽  
Temperature Pattern ◽  
Adaptation Measures ◽  
Cash Crops ◽  
The Mean ◽  
Impacts Of Climate Change

This paper focuses on climate change, its impact on cash crop production, perception of local people and their adaptation measures against the impacts of climate change in Lwang Ghalel Village Development Commitee (VDC) of Kaski district. Cash-crops such as tea, Amriso (broom grass) and cardamom were the main products in the study area. Primary data were collected through household survey with semi-structured questionnaires, interview with key informants, and formal and informal discussion. Thirty years meteorological data (rainfall and temperature) were collected from Narayani Basin Office, Pokhara to study the rainfall and temperature pattern. The rainfall pattern seemed to be increased at the rate of 2.74 mm per year while the mean annual maximum and minimum temperature also seemed to be increased by 0.064°C and 0.01°C per year, respectively. Tea was affected more due to climate change than other cash-crops. Amriso was the best adapted species against climate change due to its extended root system. DOI: http://dx.doi.org/10.3126/banko.v21i1.9061 Banko Janakari, Vol. 21, No. 1 2011; 31-34

scholarly journals Climate Change Modelling and Its Roles to Chinese Crops Yield

2013 ◽  
Vol 12 (5) ◽  
pp. 892-902 ◽  
Author(s):  
Hui JU ◽  
Er-da LIN ◽  
Tim Wheeler ◽  
Andrew Challinor ◽  
Shuai JIANG
Keyword(s):  
Climate Change ◽  
Crops Yield ◽  
Climate Change Modelling

scholarly journals Adaptations of Three Cash Crops to Climate Change

2020 ◽  
Vol 12 (2) ◽  
pp. 247-253
Author(s):  
Eming Sudiana ◽  
Edy Yani ◽  
Lucky Prayoga ◽  
Darsono Darsono ◽  
Edy Riwidiharso ◽  
...  
Keyword(s):  
Climate Change ◽  
Common Bean ◽  
Block Design ◽  
Winged Bean ◽  
Flower Number ◽  
Crop Species ◽  
Test Species ◽  
Cash Crops ◽  
Randomized Complete Block Design ◽  
Two Factors

Climate change is likely to lead to adaptations among important crop species. Elevational gradients can be used to illustrate the effects of climate change on crop adaptation patterns. The research aimed to determine adaptation patterns in crop species across an elevational (and therefore temperature and humidity) gradient. A factorial design was applied with two factors within a simple Randomized Complete Block Design, wherein the primary factor was elevation (10 – 1,000 m). Three crop species (long bean, common bean, and winged bean) were used as test species. Growth rate and flower number were used as adaptation parameters. The results indicated that these three cash crop species showed different adaptation patterns. Common bean showed the greatest vegetative growth at approximately 600 m in elevation, long bean at 400 m in elevation, and winged bean at 10 m in elevation. The results of this study indicate that the three tested agricultural crops have different adaptation patterns, and these results was the first finding to be published in Indonesia. For agriculture practices, it can be recommended that planting of these cash crops be adapted to the elevation of the planting area. 

scholarly journals Intelligent Computational Techniques for Crops Yield Prediction and Fertilizer Management over Big Data Environment

2019 ◽  
Vol 8 (12) ◽  
pp. 3521-3526
Keyword(s):  
Climate Change ◽  
Big Data ◽  
Crop Yield ◽  
Precision Agriculture ◽  
Data Analytics ◽  
Seed Quality ◽  
Big Data Analytics ◽  
Computational Techniques ◽  
Yield Prediction ◽  
Crops Yield

Agriculture is one of the biggest fields to improve the economic rate of the country. Crop yield prediction is a new emerging idea in agriculture. There are several challenges of crops yield prediction in the field of precision agriculture are (i). Obtain minimized production due to climate change; (ii). Lead to different diseases; (iii). Availability of Water; (iv). No awareness of fertilizers and crop features; (v). Climate change; (vi). Unexpected weather events.Other loss factors in the agriculture are lowly seed quality, unplanned irrigation and exploitation of insecticides and fertilizers. The main aim of this research is to design the effective crop yield production and health risk analysis model by big data analytics model. Hence in this research our focus is on optimizing the significant parameters such as rainfall, temperature and fertilizers rate to obtain the P-values for testing the crop and also analyze the human health safety (farmers and suppliers) due to the dynamic change of environment and also soil nutrients. Big data analytics is the feasible platform to test and measure the crop grow in the particular agriculture field. It helps in climate, weather events prediction and also it is used to compute the sufficient resources for crop cultivation.

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