Evaluation of new farming technologies in Ethiopia using the Integrated Decision Support System (IDSS)

Clarke, Neville P.; Bizimana, Jean‐Claude; Dile, Yihun T.; Worqlul, Abeyou W.; Osorio, Javier; Herbst, Brian K.; Richardson, James W.; Srinivasan, Raghavan; Gerik, T. J.; Williams, J. R.; Jones, Charles; Jeong, Jaehak

doi:10.1016/j.agwat.2016.07.023

Cited by 42 publications

(23 citation statements)

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“…Efforts to introduction of rice had probably been started in Ethiopia when the wild rice (O. longistaminata) was observed in the swampy and waterlogged areas of Fogera and Gambella plains [11]. According to the report of MoARD [8] the potential rice production area in Ethiopia is estimated to be about 30 million hectares, of which more than 5 million ha is highly suitable.…”

Section: Introductionmentioning

confidence: 99%

“…This is due to insect pest and diseases occurrence (rice blast and brown spot), weeds and environmental fluctuations. In addition, poor agronomic practices; human and institutional capacity and shortage of adapted varieties for different agro-ecologies are the major rice production constraints in the country.Efforts to introduction of rice had probably been started in Ethiopia when the wild rice (O. longistaminata) was observed in the swampy and waterlogged areas of Fogera and Gambella plains [11]. According to the report of MoARD [8] the potential rice production area in Rice R e s e a rc h: O p e n A c ce ss…”

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confidence: 99%

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Yield and Yield Related Performance of Upland Rice Genotypes in Tselemti district, North Ethiopia, 2015

Kinfe¹,

Tsehaye²,

Redda³

et al. 2017

J Rice Res

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Rice (Oryza sativa L.) is one of the major staple food crops for about 65 % of the world's population. A rice field experiment was conducted at Tselemti district of North Ethiopia during the main wet cropping season 2015-16 and 2016-17. The current study was proposed to evaluate the adaptability and yield performance and to identify stable, high-yielding, disease-resistant and early maturing upland rice genotype(s) in local environments. Sixteen upland rice genotypes including the standard check were evaluated. The tested genotypes are both released and unreleased genotypes and gained from national rice research programs. The experiment was laid out in a randomized complete block design of three replications. Combined analysis of variance revealed significant variations in genotypes for most traits but there is non-significant for genotype by environment interaction based on the selected analyzed traits and this implied the genotypes were not affected by the environment and the superiority genotypes across environment is constant. The highest grain yield of 3.5 t ha -1 was recorded by G4-Tana (41.8 Qt ha -1 ), followed by G2-Getachew (39.5 Qt ha -1 ). So, even if the stability didn't analyzed the Genotype Tana and Getachew were relatively highest in mean grain yield across environments and hence, both genotypes could be recommended for cultivation by the farmers and this variety should be demonstrated and popularized in larger scale to make use of its merits. IntroductionRice (Oryza sativa L.) is the foremost staple food for more than 50% of the world's population. It is estimated that by the year 2025, farmers in the world should produce about 60% more rice than at present to meet the food demands of the expected world population at that time [1]. By 2025 the world population will reach eight billion people, with 80% of those are in developing countries, and these countries will require a rational and efficient production to meet the demand of this population [2]. Among the cereals of great social and economic importance in the world, highlights the rice (Oryza sativa L.), which is an energy source for two-thirds of the world population, providing about 20% of energy and 15% of the protein that human needs [3]. Between 2007 and 2010, rice consumption in Africa increased at a rate of 4.41% per year, despite the upsurge in rice price during the food crisis [4].With this rice is the staple food for more than half of the world's population, contributing over 20% of the total calorie intake of humans [5]. The leading producers of this cereal are China, India, and Indonesia which together account for over 50% of the world's total production [6]. In sub-Saharan Africa (SSA), rice is currently one of the rapidly growing food crops in production and consumption. In a span of ten years the cultivated area has almost doubled reaching 10 million hectares with current annual production of approximately 23 million tons [6]. Rice grain produced is directly used for human consumption with average per capita consumptio...

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Section: Introductionmentioning

confidence: 99%

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confidence: 99%

Yield and Yield Related Performance of Upland Rice Genotypes in Tselemti district, North Ethiopia, 2015

Kinfe¹,

Tsehaye²,

Redda³

et al. 2017

J Rice Res

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“…An advantage of using numerical models is their ability to process big data sets, crucial in tasks such as climate change impact assessments (Shukla et al 2009, Dessu and Melesse 2013, Aich et al 2014. The advance in high-performance computing allows the study of impacts from a range of drivers on interrelated domains or subsystems using model coupling (Guan et al 2015, Clarke et al 2017. The evaluation of different sources of uncertainty in impact projections has been done by, for example, applying an ensemble of impact models (e.g., Kassie et al 2015, Vetter et al 2016.…”

Section: Introductionmentioning

confidence: 99%

Systematic evaluation of scenario assessments supporting sustainable integrated natural resources management: evidence from four case studies in Africa

Reinhardt¹,

Liersch²,

Abdeladhim³

et al. 2018

E&S

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ABSTRACT. Scenarios have become a key tool for supporting sustainability research on regional and global change. In this study we evaluate four regional scenario assessments: first, to explore a number of research challenges related to sustainability science and, second, to contribute to sustainability research in the specific case studies. The four case studies used commonly applied scenario approaches that are (i) a story and simulation approach with stakeholder participation in the Oum Zessar watershed, Tunisia, (ii) a participatory scenario exploration in the Rwenzori region, Uganda, (iii) a model-based prepolicy study in the Inner Niger Delta, Mali, and (iv) a model coupling-based scenario analysis in upper Thukela basin, South Africa. The scenario assessments are evaluated against a set of known challenges in sustainability science, with each challenge represented by two indicators, complemented by a survey carried out on the perception of the scenario assessments within the case study regions. The results show that all types of scenario assessments address many sustainability challenges, but that the more complex ones based on story and simulation and model coupling are the most comprehensive. The study highlights the need to investigate abrupt system changes as well as governmental and political factors as important sources of uncertainty. For an in-depth analysis of these issues, the use of qualitative approaches and an active engagement of local stakeholders are suggested. Studying ecological thresholds for the regional scale is recommended to support research on regional sustainability. The evaluation of the scenario processes and outcomes by local researchers indicates the most transparent scenario assessments as the most useful. Focused, straightforward, yet iterative scenario assessments can be very relevant by contributing information to selected sustainability problems.

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“…We apply the Agricultural Policy Environmental eXtender (APEX) model, which simulates nutrient and water balances of the soil and plant growth, is able to simulate the effect of a wide variety of agricultural management practices and has been applied for a wide variety of cases (Wang et al, 2012;Gassman et al, 2010;Liu et al, 2016;Clarke et al, 2017;Chen et al, 2017). As a case study, we simulate irrigated-maize growth for 20 years (1993)(1994)(1995)(1996)(1997)(1998)(1999)(2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012) at Badajoz in Spain on loam soil in a semi-arid environment.…”

Section: Introductionmentioning

confidence: 99%

Grey water footprint reduction in irrigated crop production: effect of nitrogen application rate, nitrogen form, tillage practice and irrigation strategy

Chukalla

Krol

Hoekstra

2018

Hydrol. Earth Syst. Sci.

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Abstract. Grey water footprint (WF) reduction is essential given the increasing water pollution associated with food production and the limited assimilation capacity of fresh water. Fertilizer application can contribute significantly to the grey WF as a result of nutrient leaching to groundwater and runoff to streams. The objective of this study is to explore the effect of the nitrogen application rate (from 25 to 300 kg N ha −1 ), nitrogen form (inorganic N or manure N), tillage practice (conventional or no-tillage) and irrigation strategy (full or deficit irrigation) on the nitrogen load to groundwater and surface water, crop yield and the N-related grey water footprint of crop production by a systematic model-based assessment. As a case study, we consider irrigated maize grown in Spain on loam soil in a semi-arid environment, whereby we simulate the 20-year period 1993-2012. The water and nitrogen balances of the soil and plant growth at the field scale were simulated with the Agricultural Policy Environmental eXtender (APEX) model. As a reference management package, we assume the use of inorganic N (nitrate), conventional tillage and full irrigation. For this reference, the grey WF at a usual N application rate of 300 kg N ha −1 (with crop yield of 11.1 t ha −1 ) is 1100 m 3 t −1 , which can be reduced by 91 % towards 95 m 3 t −1 when the N application rate is reduced to 50 kg N ha −1 (with a yield of 3.7 t ha −1 ). The grey WF can be further reduced to 75 m 3 t −1 by shifting the management package to manure N and deficit irrigation (with crop yield of 3.5 t ha −1 ). Although water pollution can thus be reduced dramatically, this comes together with a great yield reduction, and a much lower water productivity (larger green plus blue WF) as well. The overall (green, blue and grey) WF per tonne is found to be minimal at an N application rate of 150 kg N ha −1 , with manure, no-tillage and deficit irrigation (with crop yield of 9.3 t ha −1 ). The paper shows that there is a trade-off between grey WF and crop yield, as well as a trade-off between reducing water pollution (grey WF) and water consumption (green and blue WF). Applying manure instead of inorganic N and deficit instead of full irrigation are measures that reduce both water pollution and water consumption with a 16 % loss in yield.

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Evaluation of new farming technologies in Ethiopia using the Integrated Decision Support System (IDSS)

Cited by 42 publications

References 46 publications

Yield and Yield Related Performance of Upland Rice Genotypes in Tselemti district, North Ethiopia, 2015

Yield and Yield Related Performance of Upland Rice Genotypes in Tselemti district, North Ethiopia, 2015

Systematic evaluation of scenario assessments supporting sustainable integrated natural resources management: evidence from four case studies in Africa

Grey water footprint reduction in irrigated crop production: effect of nitrogen application rate, nitrogen form, tillage practice and irrigation strategy

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