Improved modeling of rice under environmental stresses

By Tao Li & Samarendu Mohanty, IRRI

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Photo Credit: IRRI

The worldwide usage of and increasing citations for ORYZA2000 has established it as a robust and reliable ecophysiological model for predicting the growth and yield of rice in an irrigated lowland ecosystem. Because of its focus on irrigated lowlands, its computation ability is limited in the representation of the effects of the highly dynamic environments of upland, rainfed, and aerobic ecosystems on rice growth and yield. Additional modules and routines to quantify daily variations in soil temperature, carbon, nitrogen, and environmental stresses were then developed and integrated into ORYZA2000 to capture their effects on primary production, assimilate allocation, root growth, and water and nitrogen uptake.

The newest version has been renamed “ORYZA version 3 (v3)”. Case studies have shown that the root mean square errors (RMSE) between simulated and measured values for total biomass and yields ranged from 11.2% to 16.6% across experiments in non-drought and drought and/or nitrogen-deficient environments. ORYZA (v3) showed a significant reduction of the RMSE by at least 20%, thereby improving the model’s capability to represent values measured under extreme conditions. It has also been significantly improved in representing the dynamics of soil water and crop leaf nitrogen contents. With an enhanced capability to simulate rice growth and development and predict yield in non-stressed, water-stressed and nitrogen-stressed environments, ORYZA (v3) is a reliable successor of ORYZA2000.

Download the paper here

Fish to 2050 in the ASEAN region

By Chin Yee Chan, WorldFish

ASEAN

The fisheries and aquaculture sectors in the countries of the Association of Southeast Asian Nations (ASEAN), provide income, employment opportunities, poverty alleviation, and improved food and nutrition security for the region. Extending the previous work from the Fish to 2030 report with the effort of updating parameters of the IMPACT fish model in consultation with regional experts and stakeholders, this WorldFish/IFPRI working paper highlights the business-as-usual projections of fish supply, net trade, prices, consumption, and nutrition intake from fish to 2050. Fish production in the ASEAN region will likely to grow faster than the regional population growth, benefitting the region both by improved food and nutrition security and economic opportunities.

Both aquaculture and capture fisheries production in the ASEAN will continue to grow. Capture fisheries continue to be the dominant fish supply by 2050, while aquaculture will supply more than half of fish for human consumption in coming decade. Regional net exports will continue to increase. Real prices of wild fish will grow slightly faster than farmed fish. Recognizing the complementary roles between capture fisheries and aquaculture sectors, policies need to focus not only on promoting aquaculture expansion, but also to strengthen regional fisheries governance and management to ensure sustainable growth of both sectors.

Download the paper here.

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Cassava: Subsistence Crop or Trendy Commodity?

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Some crops have it easy. They’re planted, they grow, they’re harvested and, finally, they’re eaten. No such luck with cassava. Cassava, as food, at the very least must be cooked in order to remove certain toxins. More interesting, however, is that cassava serves as a basis for the manufacture of many by-products ranging from chips as feed to processed food, starch and alcohol.

When many people hear the word cassava, they immediately think of a subsistence crop. Is this really the case? It depends on who you ask.

Read more on CIAT's blog

Heat stress could be a problem for livestock living outdoors under climate change

By Ricky Robertson (IFPRI)

Cattle grazing in Bahia Blanca, Argentina.   Credit: Milo Mitchell / International Food Policy Research Institute / 2014

Cattle grazing in Bahia Blanca, Argentina. Credit: Milo Mitchell (IFPRI), 2014.

It began with an innocent enquiry: do we have relative humidity data, under climate change for possible future situations, that could be used to think about a direct effect on animal productivity?

Currently, in our economic modeling, the cattle, hogs, chickens, etc., are only indirectly affected by changes in feed/fodder prices when those are affected by climate change. But, we are not capturing any direct effect from hot animals.

We would like to end up with global maps of some index that can tell us something about the stress that animals would experience under typical conditions at each place on the map.

The problem, of course, is that the climate data we normally use for crop modeling do not include relative humidity. That is not quite right: some of the raw data do, but not in the data we have cleaned up and arranged for using in the crop models. In order to try to keep things internally consistent, we would like to build up a rough approximation based on what we do have.

Read more on IFPRI's Climate Change blog.

Crop and bio-economic modeling for an uncertain climate

By Gideon Kruseman (CIMMYT)

The potential impact of climate change on agriculture and the complexity of possible adaptation responses require the application of new research methods and tools to develop adequate strategies. At a recent five-day training workshop titled “Crop and Bio-economic Modeling under Uncertain Climate,” scientists applied crop and bio-economic models to estimate biophysical and economic impacts of climate variability and change.

Workshop participants. Photo credit: CIMMYT.

Workshop participants. Photo credit: CIMMYT.

Crop system modeling is used to simulate yields for specific weather patterns, nutrient input levels and bio-economic household modeling involves using quantitative economic methodology to incorporate biological, chemical and/or physical processes to analyze the impact of technology development, policy interventions and such exogenous shocks as extreme weather events on the decision-making processes of smallholder farmers and related development indicators. Events influence results in two ways: the probability of occurrence will shape decision-making and actual occurrence will shape realized results.

Read more on the CIMMYT blog.

Training workshop for the National Agricultural Investment Plans appraisal and design process for Sub-Saharan Africa: Introduction to Foresight Analysis

By Tim Sulser (IFPRI)

With several members of AGRODEP and governmental/university researchers from Nigeria, Uganda, and the Ivory Coast, in September 2016 I led a successful training workshop focused on using strategic foresight analyses to inform the review and development process of country-level National Agricultural Investment Plans (NAIPs).

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We first worked to develop a common understanding of the basic theory behind using scenarios and structural modeling to generate an evidence- and science-based perspective aimed at informing the agricultural/food policy process. Afterwards, we “dove into the deep end” of foresight analysis with a hands-on practical exercise to jointly develop our own scenarios for possible future trajectories of the agricultural economies of Sub-Saharan Africa. These scenarios focused on (1) the impact of violent conflict on the agricultural sector and (2) the potential impact of increased investment in agricultural research and development if more of Sub-Saharan Africa were to achieve the goals set out in the CAADP agreement.

This workshop was just a first step along the path to build national and regional level capacity for using strategic foresight studies to inform agricultural and food policy processes for the participants. We look forward to future interactions!

This workshop was supported by IFPRI’s West and Central Africa Office (WCAO) in partnership with the African Union Commission (AUC) and the New Partnership for Africa's Development (NEPAD) Planning and Coordinating Agency. The foresight work upon which this workshop was based was supported by funding from the Bill & Melinda Gates Foundation and the CGIAR Research Programs on Policies, Institutions, and Markets (PIM) and Climate Change, Agriculture, and Food Security (CCAFS) to GFSF.

 

Global Futures and Strategic Foresight participating in the Global Action Plan for Agricultural Diversity (GAPAD)

Global Futures and Strategic Foresight was invited to share their foresight perspective at the Global Action Plan on Agricultural Diversification (GAPAD) SDG2 Roundtable Forum in Nairobi, Kenya at the end of October 2016.  GAPAD (gapad.org) is an initiative by the Association of International Research and Development Centers for Agriculture (www.airca.org) to promote agricultural diversification as a tool to address many of the challenges we face today (and will be facing in the future) in food and agricultural systems at the local to global scale.

Global Futures and Strategic Foresight participating in the Global Action Plan for Agricultural Diversity (GAPAD)

Global Futures and Strategic Foresight participating in the Global Action Plan for Agricultural Diversity (GAPAD)

This Roundtable Forum focused specifically on how agricultural diversification could contribute to the UN Sustainable Development Goal 2 to end hunger, achieve food and nutrition security, and promote sustainable agriculture (SDG2; sustainabledevelopment.un.org/sdg2) and involved a broad representation of different experts, scientists, and stakeholders from the agricultural development community.  The successful workshop (Workshop Report from CABI.org) provided crucial material (Workshop Archive from AIRCA) for the GAPAD leaders to bring with them as they participated in the UNFCCC COP22 in Morocco in November (UNFCCC-COP22) and COP13 of UN Convention on Biological Diversity in Mexico in December (UNCBD-COP13).  This Forum also caught the attention of regional media outlets (KTN News Kenya; www.standardmedia.co.ke; www.pamacc.org).

 

Conservation Agriculture: strengthening crop production in marginal areas

Conservation Agriculture has the potential to enhance soil fertility and reduce erosion across 260,000 hectares (ha) of fragile and degraded cereal land in Tunisia, according to a joint study by the country’s National Institute of Agronomic Research (INRAT) and ICARDA.

A Zero Tillage seeder on fragile and degraded cereal land in North East Tunisia (Photo credit: INGC Tunisia).

A Zero Tillage seeder on fragile and degraded cereal land in North East Tunisia (Photo credit: INGC Tunisia).

Conservation Agriculture (CA) – the practice of not plowing and leaving crop residue in fields for enhanced soil fertility and moisture conservation – was first introduced to Tunisia in 1999, where it was pilot-tested on 11 farms in the country’s North-East. While the area cultivated under CA has since grown, the practice is still applied on only 12,000 ha of agricultural land – an area distributed among 200 farmers and operated by some 102 seeders.

Taxing red meat may cut emissions and disease

By Daniel Mason D'Croz, Keith Wiebe, and Sherman Robinson

Growth in agricultural productivity and expanding markets have made more food available to more people than ever before. The options available to the average consumer visiting a supermarket are richer and more varied than at any time in history. But this abundance comes at a cost to our health and the planet.

REUTERS/Marcos Brindicci. Cows graze on a farm near Chascomus, Argentina. A new study shows that carbon taxes on carbon-intensive products such as beef could help slow climate change while boosting public health.

REUTERS/Marcos Brindicci. Cows graze on a farm near Chascomus, Argentina. A new study shows that carbon taxes on carbon-intensive products such as beef could help slow climate change while boosting public health.

Obesity, diabetes, and hypertension are increasing significantly across the world, particularly in middle- and high-income countries.

Meanwhile, food production is a major contributor to climate change: agriculture (excluding land use change) accounts for 11 percent of global carbon emissions.

To achieve the Paris climate agreement’s emission reduction targets and try to limit global temperature increases to 2 degrees Celsius by 2100, nations will have to deploy creative new policies to limit carbon emissions on both the supply and demand sides.

A carbon tax on food, if done right, could help nations meet emission reduction targets while improving nutrition and public health. Researchers from IFPRI and the Oxford Martin School recently modeled the potential consequences and tradeoffs of levying carbon taxes on food.

Read more on the IFPRI blog.

Structural Approaches and Technology Adoption: A new paper in Global Food Security

By Shahnila Islam

Trends in population and income growth along with climate change pose significant risks to achieving sustainable food security. As challenges to the agricultural sector grow, we need improved tools to understand the risks, and to evaluate alternative solutions to mitigate some of these risks. In order for these tools to be useful, they need to capture the reality of a sector where farmers react to both biophysical changes in crop productivity, as well as to the economic impacts from the market they face.

In a new paper titled “Structural Approaches to Modeling the Impact of Climate Change and Adaptation Technologies and Crop Yields and Food Security”, Islam et al. (2016) look at the “structural approach” (Figure 1). This is a modeling method that combines both biophysical and economic modeling in order to answer some of the questions related to how climate change may affect agricultural production and what role improved crop varieties may have to reduce some of the negative impacts. The authors found that adoption of drought and heat tolerant maize, wheat, potatoes, sorghum, and groundnut in select countries have the potential to reduce the negative impacts from climate change, even though the biophysical yield gains are dampened through market responses.

Figure 1: Primary components of the structural approach used in research on climate impacts in agriculture and food systems.

Figure 1: Primary components of the structural approach used in research on climate impacts in agriculture and food systems.

The work in this in paper was possible due to our long-term collaboration with partner centers across the CGIAR and the collaboration of a multi-disciplinary team through the Global Futures & Strategic Foresight (GFSF) program. The methodology enabled us to combine information from crops trials to parameterize alternative drought and heat tolerant technologies into crop models (in this case the DSSAT crop model). The link between crop models and the IMPACT economic model (Robinson et al., 2015) allowed us to take into consideration market effects, and therefore obtain a better estimate of production following adoption of these improved varieties, as well as estimate effects on world prices and trade.

Global Futures and Strategic Foresight (GFSF) is a CGIAR initiative led by IFPRI and funded by the Bill and Melinda Gates Foundation, the CGIAR Research Program on Policies, Institutions and Markets (PIM), and the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS).

References

Islam, S., Cenacchi, N., Sulser, T.B., Gbegbelegbe, S., Hareau, G., Kleinwechter, U., Mason-D'Croz, D., Nedumaran, S., Robertson, R., Robinson, S. and Wiebe, K., 2016. Structural approaches to modeling the impact of climate change and adaptation technologies on crop yields and food security. Global Food Security, 10, pp.63-70.

Robinson, S., Mason-D’Croz, D., Islam, S., Cenacchi, N., Creamer, B., Gueneau, A., Hareau, G., Kleinwechter, U., Mottaleb, K., Nedumaran, S., Robertson, R., Rosegrant, M.W., Gbegbelegbe, S., Sulser, T.B., and Wiebe, K., 2015b. New Crop Varieties and Climate Change Adaptation: Ex-Ante Analysis of Promising and Alternative Technologies. IFPRI Discussion Paper Series, Washington, DC: International Food Policy Research Institute (IFPRI).