Tag: soil

New digital maps to support soil fertility management in Nepal

Written by on December 4, 2018. Posted in News.

KATHMANDU, Nepal (CIMMYT) — The International Maize and Wheat Improvement Center (CIMMYT) is working with Nepal’s Soil Management Directorate and the Nepal Agricultural Research Council (NARC) to aggregate historic soil data and, for the first time in the country, produce digital soil maps. The maps include information on soil PH, organic matter, total nitrogen, clay content and boron content. Digital soil mapping gives farmers and natural resource managers easy access to location-specific information on soil properties and nutrients, so they can make efficient and localized management decisions.

As part of CIMMYT’s Nepal Seed and Fertilizer (NSAF) project, researchers used new satellite imagery that enabled the resolution of the maps to be increased from 1×1 km to 250×250 m. They have updated the web portal to make it more user friendly and interactive. When loaded onto a smartphone, the map can retrieve the soil properties information from the user’s exact location if the user is within areas with data coverage. The project team is planning to produce maps for the whole country by the end of 2019.

CIMMYT scientist David Guerena talks about the role of the new digital maps to combat soil fertility problems in Nepal.

At a World Soil Day event in Nepal, CIMMYT soil scientist David Guerena presented the new digital soil maps to scientists, academics, policymakers and other attendees. Guerena explained the role this tool can play in combatting soil fertility problems in Nepal.

These interactive digital maps are not simply visualizations. They house the data and analytics which can be used to inform site-specific integrated soil fertility management recommendations.

The first high-resolution digital soil maps for the Terai region have been produced with support from the data assets from the National Land Use Project, developed by Nepal’s Ministry of Agriculture and Livestock Development. These maps will be used to guide field programming of the NSAF project, drive the development of market-led fertilizer products, and inform and update soil management recommendations. The government of Nepal can use the same information to align policy with the needs of farmers and the capacity of local private seed and fertilizer companies.

In 2017, 16 scientists from Nepal’s Soil Management Directorate, NARC and other institutions attended an advanced digital soil mapping workshop where they learned how to use different geostatistical methods for creating soil maps. This year, as part of the NSAF project, four NARC scientists attended a soil spectroscopy training workshop and learned about digitizing soil data management and using advanced spectral methods to convert soil information into fertilizer recommendations.

Soil data matters

Soil properties have a significant influence on crop growth and the yield response to management inputs. For farmers, having access to soil information can make a big difference in the adoption of integrated soil fertility management.

Farmer motivation and decision-making relies heavily on the perceived likeliness of obtaining a profitable return at minimized risk. This largely depends on the yield response to management inputs, such as improved seeds and fertilizers, which depends to a large extent on site-specific soil properties and variation in agro-ecological conditions. Therefore, quantitative estimates of the yield response to inputs at a given location are essential for estimating the risks associated with these investments.

The digital soil maps can be accessed at https://nsafmap.github.io/.

The Nepal Seed and Fertilizer project is funded by the United States Agency for International Development (USAID) and is a flagship project in Nepal. The objective of the NSAF is to build competitive and synergistic seed and fertilizer systems for inclusive and sustainable growth in agricultural productivity, business development and income generation in Nepal.

K.V. Naga Madhuri, Principal Scientist for Soil Science at Acharya N. G. Ranga Agricultural University (front), explains soil spectra during the opening of the soil spectroscopy lab at the Regional Agricultural Research Station in Tirupati, Andhra Pradesh.

New Soil Intelligence System for India provides high-quality data using modern analytics

Written by on December 4, 2018. Posted in Features.

NEW DELHI (CIMMYT) — The new Soil Intelligence System (SIS) for India will help the states of Andhra Pradesh, Bihar and Odisha rationalize the costs of generating high-quality soil data and build accessible geospatial information systems based on advanced geostatistics. The SIS initiative will rely on prediction rather than direct measurements to develop comprehensive soil information at scale. The resulting data systems will embrace FAIR access principles — findable, accessible, interoperable, and reproducible — to support better decision-making in agriculture.

SIS is a $2.5 million investment funded by the Bill & Melinda Gates Foundation. This initiative is led by the International Maize and Wheat Improvement Center (CIMMYT), in collaboration with numerous partners including the International Food Policy Research Institute (IFPRI), World Soil Information (ISRIC), the Andhra Pradesh Space Applications Center (APSAC), and the state governments and state agriculture universities of Andhra Pradesh and Bihar. The initiative runs from September 2018 through February 2021.

“SIS will make important contributions towards leveraging soil information for decision-making in Indian agriculture by devising new soil health management recommendations,” explained Andrew McDonald, CIMMYT’s Regional Team Leader for Sustainable Intensification and Project Leader for the Cereal Systems Initiative for South Asia (CSISA). Researchers and scientists will combine mapping outputs with crop response and landscape reconnaissance data through machine-learning analytics to derive precise agronomy decisions at scale.

Farmers will be the primary beneficiaries of this initiative, as they will get more reliable soil health management recommendations to increase yields and profits. SIS will also be useful to state partners, extension and agricultural development institutions, the private sector and other stakeholders who rely on high-quality soil information. Through SIS, scientists and researchers will have an opportunity to receive training in modern soil analytics.

The SIS initiative aims to facilitate multi-institutional alliances for soil health management and the application of big data analytics to real-world problems. These alliances will be instrumental for initiating broader discussions at the state and national levels about the importance of robust data systems, data integration and the types of progressive access policies related to ‘agronomy at scale’ that can bring India closer to the Sustainable Development Goals.

CIMMYT scientist Shishpal Poonia places a soil sample on the Tracer instrument for soil spectroscopy analysis.

Better soil analysis

Spectroscopy enables precise soil analysis and can help scientists identify appropriate preventive and rehabilitative soil management interventions. The technology is also significantly faster and more cost-effective than wide-scale wet chemistry-based soil analysis.

As part of the CSISA project, led by CIMMYT and funded by the Bill & Melinda Gates Foundation, two new soil spectroscopy labs were recently set up in Andhra Pradesh and Bihar, in collaboration with the state departments of agriculture. One lab is now operating at the Regional Agricultural Research Station (RARS) in Tirupati, Andhra Pradesh; and the other one at Bihar Agricultural University (BAU Sabour), in Bhagalpur, Bihar.

“The support from CIMMYT through the Gates Foundation will contribute directly to bringing down the cost of providing quality soil health data and agronomic advisory services to farmers in the long run,” said K.V. Naga Madhuri, Principal Scientist for Soil Science at Acharya N. G. Ranga Agricultural University. “We will also be able to generate precise digital soil maps for land use planning. The greatest advantage is to enable future applications like drones to use multi-spectral imagery and analyze rapidly large areas and discern changes in soil characteristics in a fast and reliable manner.”

Under the SIS initiative, soil spectroscopy results will be validated with existing gold standard wet chemistry methods. They will also be integrated with production practice data collected from the ground level, through new statistical tools.

Precise predictive models

Drawing information from a limited number of soil observations from a sample dataset, digital soil mapping (DSM) uses (geo)statistical models to predict the soil type or property for locations where no samples have been taken.

“These ‘unsampled locations’ are typically arranged on a regular grid,” explained Balwinder Singh, CIMMYT scientist and Simulation Modeler, “so DSM produces gridded — raster — soil maps at a specific spatial resolution — grid cell or pixel size — with a spatial prediction made for each individual grid cell.”

“Adopting DSM methods, combined with intelligent sampling design, could reduce the strain on the soil testing system in terms of logistics, quality control and costs,” noted Amit Srivastava, a geospatial scientist at CIMMYT. “Improving digital soil mapping practices can also help create the infrastructure for a soil intelligence system that can drive decision-making at scale.”

In partnership with state government agencies and the Bill & Melinda Gates Foundation, CIMMYT will continue to support the expansion of digital soil mapping and soil analysis capacity in India. The CSISA project and the SIS initiative are helping to deliver soil fertility recommendations to farmers, an important step towards the sustainable intensification of agriculture in South Asia.

For more details, contact Balwinder Singh, Cropping System Simulation Modeler, CIMMYT at Balwinder.SINGH@cgiar.org.

An example of digital soil mapping (DSM), showing pH levels of soil in the state of Bihar. (Map: Amit Kumar Srivastava/CIMMYT)

Fighting hidden hunger from the ground up: the powerful link between soils and nutritious food

Written by on October 15, 2018. Posted in News.

Conserving organic matter in soils improves vital nutrients in wheat, according to new study in Ethiopia. On World Food Day, CIMMYT Systems Agronomist Frédéric Baudron highlights the role of healthy soils as a tool for fighting malnutrition, in an article published on The Conversation.

The study by Baudron and Stephen A. Wood of The Nature Conservancy found that wheat grown on soils rich in organic matter, especially near the forest, had more essential nutrients like zinc and protein. Ethiopia faces varying levels of hidden hunger: a deficiency in vitamins and minerals in food, despite rising yields.

In Ethiopia and many low and middle-income countries, Nitrogen-based fertilizers are out of reach for farmers. But low-cost techniques like agroforestry, minimum tillage, and planting nitrogen-fixing legumes can help African farmers enhance soils, and have been successfully implemented in different African farming systems. The study found that wheat farms near forests had richer soils due to decomposing trees and plants, and more livestock manure, pointing to the benefits of an integrated approach.

The researchers conclude that healthy soils are an important tool for “feeding the world well” and achieving Zero Hunger, one of the Sustainable Development Goals. “The finding offers a new solution in addressing growing malnutrition,” writes Baudron.

Read the article: Study in Ethiopia links healthy soils to more nutritious cereals on The Conversation.

Original study: Wood SA and Baudron F. 2018. Soil organic matter underlies crop nutritional quality and productivity in smallholder agriculture. Agriculture, Ecosystems & Environment 266 (100-108). https://doi.org/10.1016/j.agee.2018.07.025

New publications: Toxin-producing fungal strains can now be detected in maize field soils with a new technique

Written by Carolyn Cowan on August 23, 2018. Posted in Publications.

A novel approach allows the detection of aflatoxin-producing fungi in maize fields. A new study explains the technique and how it was tested. “Detection of Aflatoxigenic and Atoxigenic Mexican Aspergillus Strains by the Dichlorvos–Ammonia (DV–AM) Method” was developed in collaboration between scientists from the International Maize and Wheat Improvement Center (CIMMYT), the Japanese National Agriculture and Food Organization (NARO) and Fukui University of Technology, funded in part by the CGIAR Research Program on Maize (MAIZE).

Aflatoxins are harmful compounds produced by the fungi Aspergillus flavus, which can be found in the soil, plants and grain of a variety of cereals and commodities including maize, nuts, cottonseed, spices and dried fruit. The toxic carcinogenic qualities of aflatoxins pose serious health hazards to humans and animals when contaminated crops are ingested. These health risks include cancers of the liver and gallbladder, stunted development in children, premature births and abnormal fetal development.

Not all strains of A. flavus produce aflatoxins however, so it is important to be able to detect and distinguish between A. flavus strains that are benign (atoxigenic) and those that produce dangerous toxins (aflatoxigenic). Current methods of detection are often complicated by the fact that the fungal strains display very similar physiological and molecular traits, thus a new approach is required.

In the study, a novel approach to detect and distinguish A. flavus strains was tested. Using soil samples from a CIMMYT experimental maize field in Mexico, fungal isolates were chemically treated in-line with a method recently developed in Japan, resulting in a color change indicative of toxicity. The method was found to be effective and accurate in the detection of the aflatoxigenic strains of the fungus.

This study is foundational work in the development of a simple, cost-effective and efficient method of detecting aflatoxigenic strains of A. flavus, which will help inform growers about the potential aflatoxin contamination of their crops. This is of particular importance in the developing world, where the resources for effective control of the fungus are often lacking.

To read the original study, “Detection of Aflatoxigenic and Atoxigenic Mexican Aspergillus Strains by the Dichlorvos–Ammonia (DV–AM) Method”, please click here.

Original citation: Kushiro, M.; Hatabayashi, H.; Yabe, K.; Loladze, A. Detection of Aflatoxigenic and Atoxigenic Mexican Aspergillus Strains by the Dichlorvos–Ammonia (DV–AM) Method. Toxins 2018, 10, 263.

This article was originally published on the website of the CGIAR Research Program on Maize.

Maize ear infected with Aspergillus flavus. (Photo: Maize Pathology Laboratory/CIMMYT)

Check out other recent publications by CIMMYT researchers below:

Genetic analysis of tropical midaltitude-adapted maize populations under stress and nonstress conditions. 2018. Makumbi, D., Assanga, S., Diallo, A., Magorokosho, C., Asea, G., Regasa, M.W., Bänziger, M. In: Crop Science v. 58, no. 4, p. 1492-1507.
Interactions among genes Sr2/Yr30, Lr34/Yr18/Sr57 and Lr68 confer enhanced adult plant resistance to rust diseases in common wheat (Triticum aestivum L.) line ‘Arula’. 2018. Randhawa, M.S., Caixia Lan, Basnet, B.R., Bhavani, S., Huerta-Espino, J., Forrest, K.L., Hayden, M., Singh, R.P. In: Australian Journal of Crop Science v. 12, no. 6, p. 1023-1033.
Practical breeding strategies to improve resistance to Septoria tritici blotch of wheat. 2018. Tabib Ghaffary, S.M., Chawade, A., Singh, P.K. In: Euphytica v. 214, art. 122.
Sashaydiall : A SAS program for hayman’s diallel analysis. 2018. Makumbi, D., Alvarado Beltrán, G., Crossa, J., Burgueño, J. In: Crop Science v. 58, no. 4, p. 1605-1615.
Soil bacterial diversity under conservation agriculture-based cereal systems in indo-gangetic plains. 2018. Choudhary, M., Sharma, P.C., Jat, H. S., Dash, A., Rajashekar, B., McDonald, A., Jat, M.L. In: 3 Biotech v. 8, art. 304.