scholarly journals Relationship of irrigated wheat yield with temperature in hot environments of Sudan

Author(s):  
Abuelgasim I. I. Musa ◽  
Mitsuru Tsubo ◽  
Imad-Eldin A. Ali-Babiker ◽  
Toshichika Iizumi ◽  
Yasunori Kurosaki ◽  
...  

AbstractA negative effect of increasing temperature on wheat production in the coming decades has been projected for Sudan, which is a major wheat producer in Sub-Saharan Africa. Wheat is susceptible to high temperature, so trend analysis of historical yields together with observed temperature is critical for understanding the effect of climate change. The objective of this study was to determine the association between yield of irrigated wheat in hot drylands of Sudan and temperature during the growing season (November–February). Regional-scale yield data in three major wheat-producing areas (Northern State, Gezira State, and Kassala State) in 48 crop seasons (1970/71–2017/18) were used to determine the correlation of yield with maximum (TMAX) and minimum temperatures (TMIN) at representative meteorological stations (Dongola, Wad Medani, and New Halfa, respectively). Frequencies of days with maximum temperature above 35 °C (THD) and minimum temperature above 20 °C (THN) were also used for correlation analysis. In all three areas, regression analysis detected upward trends in the growing-season temperature. The increase in temperature was particularly evident at Dongola, although no such trend has been reported previously. The yields were negatively correlated with the growing-season temperature, particularly THN in Northern State, TMAX in Gezira State, and TMIN in Kassala State. These results confirm that the recent increase in the growing-season temperature might have reduced the yield to some extent in the breadbasket of Sudan.

Agriculture ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 550
Author(s):  
Terence Epule Epule

In most parts of sub-Saharan Africa, precipitation is impacted by climate change. In some countries like Cameroon, it is still not clear how maize, millet and rice will respond to changes in growing season precipitation. This work examines the exposure, sensitivity, and adaptive capacity of the above crops to droughts at both the national and sub-national scale. Crop yield data were culled from FAOSTAT while growing season precipitation data were culled from the database of UNDP/Oxford University and the climate portal of the World Bank. Adaptive capacity proxies (literacy, and poverty rate) were collected from KNOEMA and the African Development Bank. The analysis was performed using the vulnerability index equation. Nationally, millet has the lowest vulnerability and rice has the highest. At the sub-national scale, northern maize has the highest vulnerability followed by western highland rice. It is observed that when scales change, the crops that are vulnerable also change. However, at both levels vulnerability has an inverse relationship with adaptive capacity.


2021 ◽  
pp. 026666692110289
Author(s):  
Taiwo Akinlo

The study examined the relationship between information technology and insurance development in 40 sub-Saharan African countries during the period 2000-2017. The study employed System Generalised Method of Moment for the estimations. Life insurance premiums, non-life insurance premiums and total insurance premiums are used to measure life insurance, non-life insurance and total insurance, respectively. The information technology is measured by mobile phone, fixed telephone and Internet penetrations. The study found that the Internet promotes non-life insurance while its effect on life and total insurance is insignificant. The mobile phone produced a negative effect on life insurance, non-life insurance and total insurance. However, fixed telephone significantly contributed to life insurance, non-life insurance and total insurance. Based on these findings, there is a need for insurers to encourage their client to use information technology tools for insurance activities and also increase their interaction with their customers.


2021 ◽  
Vol 3 (5) ◽  
Author(s):  
Terence Epule Epule ◽  
Driss Dhiba ◽  
Daniel Etongo ◽  
Changhui Peng ◽  
Laurent Lepage

AbstractIn sub-Saharan Africa (SSA), precipitation is an important driver of agricultural production. In Uganda, maize production is essentially rain-fed. However, due to changes in climate, projected maize yield targets have not often been met as actual observed maize yields are often below simulated/projected yields. This outcome has often been attributed to parallel gaps in precipitation. This study aims at identifying maize yield and precipitation gaps in Uganda for the period 1998–2017. Time series historical actual observed maize yield data (hg/ha/year) for the period 1998–2017 were collected from FAOSTAT. Actual observed maize growing season precipitation data were also collected from the climate portal of World Bank Group for the period 1998–2017. The simulated or projected maize yield data and the simulated or projected growing season precipitation data were simulated using a simple linear regression approach. The actual maize yield and actual growing season precipitation data were now compared with the simulated maize yield data and simulated growing season precipitation to establish the yield gaps. The results show that three key periods of maize yield gaps were observed (period one: 1998, period two: 2004–2007 and period three: 2015–2017) with parallel precipitation gaps. However, in the entire series (1998–2017), the years 2008–2009 had no yield gaps yet, precipitation gaps were observed. This implies that precipitation is not the only driver of maize yields in Uganda. In fact, this is supported by a low correlation between precipitation gaps and maize yield gaps of about 6.3%. For a better understanding of cropping systems in SSA, other potential drivers of maize yield gaps in Uganda such as soils, farm inputs, crop pests and diseases, high yielding varieties, literacy, and poverty levels should be considered.


2020 ◽  
Vol 4 (2) ◽  
pp. 4-13
Author(s):  
Emmanuel Otitolaiye ◽  
Tunji Siyanbola

Dividend policy remains an important topic in modern corporate finance. Researchers, managers, and business owners seek to understand the optimal dividend policy. This study examined dividend policy as a driver of corporate growth in sub-Saharan Africa: evidence in Nigeria. The ex-post facto research design was adopted to analyse how dividend policy spur the growth of active insurance companies in the Nigerian Stock Exchange using secondary data of the sampled firms for 2007 – 2018 while utilising descriptive and inferential (regression) statistics in data analysis. The findings reveal that dividend policy in terms of dividend payout has an insignificant negative effect on corporate growth of insurance companies in Nigeria (?= -8.09E-05, p=0.77; Adjusted R2=0.4093; F(4,139)=3.29; p=0.00 with the controlling effect of efficiency, firm age and leverage which have a significant effect on corporate growth of insurance companies in Nigeria. Specifically, the study reveals that efficiency has a significant negative effect on corporate growth (?=-5.29, p<0.05); while firm age discloses a significant positive influence on corporate growth (?=0.417, p<0.05); as leverage exerts a significant negative effect on corporate growth (?=0.052, p<0.05). Therefore, the study concludes that dividend policy does not significantly drive insurance companies' dividend payout growth. The study recommends that insurance companies' management retain more of their profits, improve their efficiency, and control their leverage to further growth.


2012 ◽  
Vol 16 (9) ◽  
pp. 3083-3099 ◽  
Author(s):  
H. Xie ◽  
L. Longuevergne ◽  
C. Ringler ◽  
B. R. Scanlon

Abstract. Irrigation development is rapidly expanding in mostly rainfed Sub-Saharan Africa. This expansion underscores the need for a more comprehensive understanding of water resources beyond surface water. Gravity Recovery and Climate Experiment (GRACE) satellites provide valuable information on spatio-temporal variability in water storage. The objective of this study was to calibrate and evaluate a semi-distributed regional-scale hydrologic model based on the Soil and Water Assessment Tool (SWAT) code for basins in Sub-Saharan Africa using seven-year (July 2002–April 2009) 10-day GRACE data and multi-site river discharge data. The analysis was conducted in a multi-criteria framework. In spite of the uncertainty arising from the tradeoff in optimising model parameters with respect to two non-commensurable criteria defined for two fluxes, SWAT was found to perform well in simulating total water storage variability in most areas of Sub-Saharan Africa, which have semi-arid and sub-humid climates, and that among various water storages represented in SWAT, water storage variations in soil, vadose zone and groundwater are dominant. The study also showed that the simulated total water storage variations tend to have less agreement with GRACE data in arid and equatorial humid regions, and model-based partitioning of total water storage variations into different water storage compartments may be highly uncertain. Thus, future work will be needed for model enhancement in these areas with inferior model fit and for uncertainty reduction in component-wise estimation of water storage variations.


Author(s):  
Mavhungu Abel Mafukata

The main objective of this paper is to predict the consequences of China's impending economic crisis on global economy – with reference to Sub-Saharan Africa (SSA) in particular. The specific objective of this paper is to investigate and explore the increasing dominance of economic practice of China in SSA. China is a critical principal player in the economy of SSA. China's influence and dominance of the SSA economy might have negative effect on SSA in case of any implosion of the Chinese economy. Data were collected from print and electronic sources extracted from the vast body of empirical scholarship of different disciplines on China in SSA.  The results of this paper revealed that China is indeed dominating the economy in SSA. Pointers are that China's economic implosion would have consequences for SSA in the same way as the 2008-2009 global economic recession had around the world. This  paper positively predicts that China's economic and financial implosion remains a possibility, and would impact on SSA.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Emmanuel Sarpong-Kumankoma ◽  
Joshua Yindenaba Abor ◽  
Anthony Q. Q. Aboagye ◽  
Mohammed Amidu

PurposeThis study aims to analyze the potential implications of economic freedom and competition for bank stability.Design/methodology/approachUsing system generalized method of moments and data from 139 banks across 11 Sub-Saharan African (SSA) countries during the period 2006–2012, this study considers whether the degree of economic freedom affects the relationship between competition and bank stability.FindingsThe results show evidence of the competition-fragility hypothesis in SSA banking, but suggests that beyond a setting threshold, increases in market power may also be damaging to bank stability. Financial freedom has a negative effect on bank stability, suggesting that banks operating in environments with greater financial freedom generally tend to be less stable or more risky. The authors also find evidence of a conditional effect of economic freedom on the competition–stability relationship, implying that bank failure is more likely to occur in countries with greater economic freedom, but with low competition in the banking sector.Practical implicationsThe results suggests to policy makers that a moderate level of competition and economic freedom may be the appropriate policy to ensure the stability of banks.Originality/valueThe study provides insight on the competition–bank stability relationship, by providing new empirical evidence on the effect of economic freedom, which has not been previously considered.


2015 ◽  
Vol 7 (4) ◽  
pp. 30 ◽  
Author(s):  
Danjuma Maijama'a ◽  
Shamzaeffa Samsudin ◽  
Shazida jan Mohd Khan

<p>This study investigates the effects of the HIV and AIDS epidemic on economic growth in 42<br />sub-Saharan African countries using data spanning from 1990-2013. Unlike previous studies,<br />we use a longer data horizon and take the time lag effect of the epidemic’s incubation period<br />that is, after it might have developed to AIDS into consideration in our estimations. We<br />estimated an empirical growth equation within an augmented Solow model and applied the<br />dynamic system GMM estimator. The results suggest that current HIV prevalence rate –<br />associated with rising morbidity, has a negative effect on GDP per capita growth, conversely<br />AIDS – associated with higher mortality in addition to morbidity, increases per capita GDP<br />growth.</p>


Author(s):  
Sam T. Ntuli ◽  
Gboyega A. Ogunbanjo

Background: In sub-Saharan Africa including South Africa, maternal mortality rates remain unacceptably high due to a shortage of registered nurses with advanced midwifery diplomas.Objective: To determine the profile of registered nurses (RNs) involved in maternity care in public referral hospitals of the Limpopo Province, South Africa.Method: A cross-sectional descriptive study was conducted in all maternity units of Limpopo’s public referral hospitals. The study population comprised of 210 registered nurses, who became the study sample. Data on their educational profile and work experience in midwifery was analysed using STATA version 9.0.Results: The mean age of the 210 registered nurses was 44.5 ± 9.1 years (range 21 to 62). The majority (152/210; 70%) were 40 years and older, 56% (117/210) had been working for more than 10 years, and 63/210 (30%) were due to retire within 10 years. Only 22% (46/210) had advanced midwifery diplomas, i.e. after their basic undergraduate training. Only six (2.9%) of the RNs providing maternity care in these referral hospitals were studying for advanced midwifery diplomas at the time of the study.Conclusion: This study demonstrated a shortage of registered nurses with advanced midwifery training/diplomas in referral hospitals of the Limpopo Province. This has a potentially negative effect in reducing the high maternal mortality rate in the province.


2020 ◽  
Vol 12 (24) ◽  
pp. 4030
Author(s):  
Gohar Ghazaryan ◽  
Simon König ◽  
Ehsan Eyshi Rezaei ◽  
Stefan Siebert ◽  
Olena Dubovyk

Drought is one of the extreme climatic events that has a severe impact on crop production and food supply. Our main goal is to test the suitability of remote sensing-based indices to detect drought impacts on crop production from a global to regional scale. Moderate resolution imaging spectroradiometer (MODIS) based imagery, spanning from 2001 to 2017 was used for this task. This includes the normalized difference vegetation index (NDVI), land surface temperature (LST), and the evaporative stress index (ESI), which is based on the ratio of actual to potential evapotranspiration. These indices were used as indicators of drought-induced vegetation conditions for three main crops: maize, wheat, and soybean. The start and end of the growing season, as observed at 500 m resolution, were used to exclude the time steps that are outside of the growing season. Based on the three indicators, monthly standardized anomalies were estimated, which were used for both analyses of spatiotemporal patterns of drought and the relationship with yield anomalies. Anomalies in the ESI had higher correlations with maize and wheat yield anomalies than other indices, indicating that prolonged periods of low ESI during the growing season are highly correlated with reduced crop yields. All indices could identify past drought events, such as the drought in the USA in 2012, Eastern Africa in 2016–2017, and South Africa in 2015–2016. The results of this study highlight the potential of the use of moderate resolution remote sensing-based indicators combined with phenometrics for drought-induced crop impact monitoring. For several regions, droughts identified using the ESI and LST were more intense than the NDVI-based results. We showed that these indices are relevant for agricultural drought monitoring at both global and regional scales. They can be integrated into drought early warning systems, process-based crop models, as well as can be used for risk assessment and included in advanced decision-support frameworks.


Sign in / Sign up

Export Citation Format

Share Document