Temperature, maize yield, and civil conflicts in sub-Saharan Africa

2017 ◽  
Vol 142 (1-2) ◽  
pp. 183-197 ◽  
Author(s):  
Tackseung Jun
2020 ◽  
Vol 47 ◽  
pp. 95-105 ◽  
Author(s):  
Sonja Leitner ◽  
David E Pelster ◽  
Christian Werner ◽  
Lutz Merbold ◽  
Elizabeth M Baggs ◽  
...  

2016 ◽  
Vol 23 (1) ◽  
pp. 99-114 ◽  
Author(s):  
Vijayakumar Somasekharan Nair

Abstract:The present article discusses perceptions of cultural heritage and the development of heritage management in Ethiopia against the background of various pieces of legislation. Compared to many colonized countries of sub-Saharan Africa, the enactment of laws for the protection and preservation of cultural heritage is a recent phenomenon in Ethiopia. Even though archaeological research in Ethiopia dates back to the mid-nineteenth century, there have been no formal heritage laws or scientific restoration programs until 1966. However, living heritage, which is economically and spiritually beneficial to the local communities, has been protected and preserved with TMSs in communities such as Yeha, Konso, and Lalibela. Unlike Western management systems that emphasize the authenticity and integrity of physical features, the TMSs of Ethiopia have focused on the ideals and thoughts of the agencies that produce the cultural heritage. It had its own implications, to say, while retaining the ideological aspects, most built heritages in Ethiopia have been subjected to considerable physical interventions. Such physical interventions have disregarded structural authenticity and integrity of the monuments. Due to foreign invasions, continuous civil conflicts, and sporadic famines in the past, attention to cultural heritage and the implementation of heritage legislation has been negligent. However, Ethiopia has witnessed growing interest in the conservation and preservation of its heritage—cultural and natural; tangible and intangible—during the last twenty years. With the support of international collaborators, the Ethiopian government has initiated several measures to protect its heritage assets.


2013 ◽  
Vol 119 ◽  
pp. 22-34 ◽  
Author(s):  
Christian Folberth ◽  
Hong Yang ◽  
Thomas Gaiser ◽  
Karim C. Abbaspour ◽  
Rainer Schulin

NeoBiota ◽  
2018 ◽  
Vol 40 ◽  
pp. 25-50 ◽  
Author(s):  
Regan Early ◽  
Pablo González-Moreno ◽  
Sean T. Murphy ◽  
Roger Day

Fall armyworm, Spodopterafrugiperda, is a crop pest native to the Americas, which has invaded and spread throughout sub-Saharan Africa within two years. Recent estimates of 20–50% maize yield loss in Africa suggest severe impact on livelihoods. Fall armyworm is still infilling its potential range in Africa and could spread to other continents. In order to understand fall armyworm’s year-round, global, potential distribution, we used evidence of the effects of temperature and precipitation on fall armyworm life-history, combined with data on native and African distributions to construct Species Distribution Models (SDMs). We also investigated the strength of trade and transportation pathways that could carry fall armyworm beyond Africa. Up till now, fall armyworm has only invaded areas that have a climate similar to the native distribution, validating the use of climatic SDMs. The strongest climatic limits on fall armyworm’s year-round distribution are the coldest annual temperature and the amount of rain in the wet season. Much of sub-Saharan Africa can host year-round fall armyworm populations, but the likelihoods of colonising North Africa and seasonal migrations into Europe are hard to predict. South and Southeast Asia and Australia have climate conditions that would permit fall armyworm to invade. Current trade and transportation routes reveal Australia, China, India, Indonesia, Malaysia, Philippines and Thailand face high threat of fall armyworm invasions originating from Africa.


2021 ◽  
Author(s):  
Vincent G. Vyamana ◽  
Shabani A.O. Chamshama ◽  
Samora Macrice Andrew

Abstract Agriculture forms a backbone of many countries in sub-Saharan Africa (SSA) thus has the potential to contribute to achieving Sustainable Development Goals (SDGs). However, agriculture in the SSA is characterized by low production due to soil fertility depletion. Use of appropriate low input agricultural technologies may increase production and benefit smallholder farmers through increased productivity in already degraded land. A field experiment was established to assess tree coppice intercropping of Albizia harveyi and Albizia versicolor for soil fertility and maize yield improvements in Morogoro, Tanzania. Tree fallows of A. versicolor aged three years increased significantly soil organic Carbon, Calcium, Magnesium and Potassium. Yields of maize grain, cobs and stover in maize fields intercropped with A. versicolor were significantly higher than those with A. harveyi. Fields with continuous maize cropping had the least yields of grain, cobs and stover. The studied agroforestry tree species are recommended for rotational woodlots and short rotation coppice systems to enhance agricultural productivity for achieving SDGs.


2021 ◽  
Author(s):  
Sarah Collinson ◽  
Esnath Hamidziripi ◽  
Hugo De Groote ◽  
Michael Ndegwa ◽  
Jill Cairns ◽  
...  

Abstract Maize is a staple crop in sub-Saharan Africa, but yields remain sub-optimal. Improved breeding and seed systems are vital to increase productivity. We describe a novel hybrid seed production technology that will benefit seed companies and farmers. This technology reduces the cost of seed production by preventing the need for detasseling. The resulting hybrids segregate 1:1 for pollen production, conserving resources for grain production and conferring a 200 kg ha-1 benefit across a range of yield levels. This represents a 10% increase for farmers operating at national average yield levels in sub-Saharan Africa. The yield benefit of fifty-percent non-pollen producing hybrids is equivalent to approximately six years of progress in plant breeding. Benefits to seed companies in the form of reduced production cost and improved seed purity will provide incentives to improve smallholder farmer access to higher quality seed of climate-smart hybrids. Demonstrated farmer preference for these hybrids will help drive their adoption.


2007 ◽  
Vol 47 (8) ◽  
pp. 1000 ◽  
Author(s):  
E. K. Cheruiyot ◽  
S. M. Mwonga ◽  
L. M. Mumera ◽  
J. K. Macharia ◽  
I. M. Tabu ◽  
...  

The traditional natural fallows are no longer practicable in sub-Saharan Africa and technologies to replace them are being popularised through management of short fallow systems. Dolichos [Lablab purpureus (L.) Sweet] is among the legumes used to improve such fallows and its residues are incorporated to improve yield of succeeding cereal. Two field studies were conducted to determine dolichos residue mineralisation schedule and response of maize to timing of the residue incorporation, to establish if the current residue incorporation practice maximises nutrient benefit to succeeding cereal. Dolichos residue was applied at 2 t/ha in litterbags, buried in the field at 15-cm depth and retrieved after 1, 2, 4, 8 and 16 weeks, and the remaining debris analysed for loss of weight, N, P and K. A parallel split-plot experiment was set up to determine response of maize to time of residue incorporation, with or without fertiliser nitrogen supplementation. The main plot treatments were nitrogen fertiliser applied at 0, 30 and 60 kg/ha at sixth fully opened leaf in maize. The subplot treatments were residue management regimes, which included four residue incorporation times of 2, 4, 6, and 8 weeks before sowing maize, residue removal off the field, residue mulched on surface and traditional weedy fallow. Results show rapid loss of N, with 50% being released within the first 2–4 weeks after burying. Residue incorporated at 2 and 4 weeks before sowing improved maize yield, while residue removal off-field reduced yield comparably with the traditional weedy fallow. However, there were no statistical differences among the timing of the dolichos residue incorporation. These results reflect poor synchrony of mineralised N and uptake by succeeding maize as currently practiced and suggest residue incorporation closer to sowing maize to benefit the cereal.


2015 ◽  
Vol 7 (1) ◽  
pp. 1237-1261
Author(s):  
P. Musinguzi ◽  
P. Ebanyat ◽  
J. S. Tenywa ◽  
T. A. Basamba ◽  
M. M. Tenywa ◽  
...  

Abstract. Simple and affordable soil fertility ratings are essential, particularly for the resource-constrained farmers in sub-Saharan Africa (SSA) in planning and implementing prudent interventions. A study was conducted on Ferralsols in Uganda, to evaluate farmer-field-based soil fertility assessment procedures, hereafter referred to as farmer' field experiences (FFE), for ease of use (simplicity) and precision, against more formal scientific quantitative ratings using soil organic carbon (SQR-SOC). A total of 30 fields were investigated and rated using both approaches, as low, medium and high in terms of soil fertility, with maize as the test crop. Based on maize yield, both rating techniques were fairly precise in delineating soil fertility classes, though the FFE approach showed mixed responses. Soil organic carbon in the top soil (0–15 cm) was exceptionally influential, explaining > 70% in yield variance. Each unit rise in SOC concentration resulted in 966–1223 kg ha−1 yield gain. The FFE approach was effective in identifying low fertility fields, which was coherent with the fields categorized as low (SOC < 1.2%). Beyond this level, its precision can be remarkably increased when supplemented with the SOC procedure.


2008 ◽  
Vol 307 (1-2) ◽  
pp. 1-19 ◽  
Author(s):  
Gudeta Sileshi ◽  
Festus K. Akinnifesi ◽  
Oluyede C. Ajayi ◽  
Frank Place

2021 ◽  
Author(s):  
Donghoon Lee ◽  
Frank Davenport ◽  
Shraddhanand Shukla ◽  
Greg Husak ◽  
Chris Funk

&lt;p&gt;In Sub-Saharan Africa, forecasting of agricultural production is becoming increasingly important for the management of the agricultural supply chain, market prediction, and food aid. More importantly, agricultural forecasts can enhance the ability of governments and humanitarian organizations to respond better to food production shocks and price spikes caused by extreme droughts. Here, we use earth observation (EO) and machine learning (ML) techniques to develop 1-6 months ahead end-of-season maize yield forecast models for several regions in Sub-Saharan Africa. We find that ML models present different aspects of forecast accuracy compared to baseline regression models. Specifically, we investigate 1) skillful EO predictors and their predictability in a given region and lead-time and 2) the benefits of using finer time resolution of EO data that can potentially capture temporal dynamics in early reproductive stages. Overall, this study provides the groundwork for an operational crop yield forecast and famine warning system. Actionable famine risk predictions can radically improve existing disaster management practices of aid organizations by providing advanced preparedness and response strategies.&lt;/p&gt;


Sign in / Sign up

Export Citation Format

Share Document