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Tag: adaptation

Adapting growing seasons to climate change can boost yields of world’s staple crops

Rising global temperatures due to climate change are changing the growth cycles of crops worldwide. Recent records from Europe show that wild and cultivated plants are growing earlier and faster due to increased temperatures.

Farmers also influence the timing of crops and tend to grow their crops when weather conditions are more favorable. With these periods shifting due to climate change, sowing calendars are changing over time.

Over thousands of years of domesticating and then breeding crops, humans have also managed to artificially change how crop varieties respond to both temperature and day length, and in turn have been able to expand the area where crop species can be grown. Farmers can now choose varieties that mature at different rates and adapt them to their environment.

Including farmers’ decisions on when to grow crops and which varieties to cultivate are vital ingredients for understanding how climate change is impacting staple crops around the world and how adaptation might offset the negative effects.

In a ground-breaking study, a team of researchers from the Potsdam Institute for Climate Impact Research (PIK), the Technical University of Munich and the International Maize and Wheat Improvement Center (CIMMYT) investigated how farmers’ management decisions affect estimates of future global crop yields under climate change.

“For long time, the parametrization of global crop models regarding crop timing and phenology has been a challenge,” said Sara Minoli, first author of the study. “The publication of global calendars of sowing and harvest have allowed advancements in global-scale crop model and more accurate yield simulations, yet there is a knowledge gap on how crop calendars could evolve under climate change. If we want to study the future of agricultural production, we need models that can simulate not only crop growth, but also farmers’ management decisions.”

Using computer simulations and process-based models, the team projected the sowing and maturity calendars for five staple crops, maize, wheat, rice, sorghum and soybean, adapted to a historical climate period (1986–2005) and two future periods (2060–2079 and 2080–2099). The team then compared the crop growing periods and their corresponding yields under three scenarios: no adaptation, where farmers continue with historical sowing dates and varieties; timely adaptation, where farmers adapt sowing dates and varieties in response to changing climate; and delayed adaptation, where farmers delay changing their sowing dates and varieties by 20 years.

The results of the study, published last year in Nature Communications, revealed that sowing dates driven by temperature will have larger shifts than those driven by precipitation. The researchers found that adaptation could increase crop yields by 12 percent, compared to non-adaptation, with maize and rice showing the highest potential for increased crop yields at 17 percent. This in turn would reduce the negative impacts of climate change and increase the fertilization effect of increased levels of carbon dioxide (CO2) in the atmosphere.

They also found that later-maturing crop varieties will be needed in the future, especially at higher latitudes.

“Our findings indicate that there is space for maintaining and increasing crop productivity, even under the threat of climate change. Unfortunately, shifting sowing dates – a very low-cost measure – is not sufficient, and needs to be complemented by the adaptation of the entire cropping cycle through the use of different cultivars,” said Minoli.

Another important aspect of this study, according to Anton Urfels, CIMMYT systems agronomist and co-author of the study, is that it bridges the GxMxE (Gene-Management-Environment) spectrum by using crop simulations as an interdisciplinary tool to evaluate complex interactions across scientific domains.

“Although the modeled crops do not represent real cultivars, the results provide information for breeders regarding crop growth durations (i.e. the need for longer duration varieties) needed in the future as well as agronomic information regarding planting and harvesting times across key global climatic regimes. More such interdisciplinary studies will be needed to address the complex challenges we face for transitioning our food systems to more sustainable and resilient ones,” said Urfels.

Read the study: Global crop yields can be lifted by timely adaptation of growing periods to climate change

Cover photo: Work underway at the International Maize and Wheat Improvement Center in Zimbabwe (CIMMYT), is seeking to ensure the widespread hunger in the country caused by the 2015/6 drought is not repeated, by breeding a heat and drought tolerant maize variety that can still grow in extreme temperatures. CIMMYT maize breeders used climate models from the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) to inform breeding decisions. (Photo: L. Sharma/Marchmont Communications)

Fast Tracking Climate Solutions from CGIAR Germplasm Banks

The Fast Tracking Climate Solutions from CGIAR Germplasm Banks project, led by the International Maize and Wheat Improvement Center (CIMMYT), is expanding the use of common bean and maize biodiversity, held in trust for humanity in the genebanks of CGIAR, to develop the raw ingredients of new climate-smart crop varieties for small-scale farmers in the Northern Triangle: Guatemala, Honduras and El Salvador.

Aligned with, and building upon the Mining Useful Alleles for Climate Change Adaptation from CGIAR Genebanks project, this project aims to identify common bean accessions in genebanks that contain alleles, or gene variations, responsible for characteristics such as heat, drought or salt tolerance, and to facilitate their use in breeding climate-resilient crop varieties. Additionally, within the maize work, the project focuses on transferring valuable novel genetic variation identified from landraces under the aligned project into breeding materials suitable for variety development in the Northern Triangle.

Through this project, breeders will learn how to use genebank materials more effectively and efficiently to develop climate-smart versions of important food crops.

Building on ten years of support to CIMMYT from the Mexican government, CGIAR Trust Fund contributors, the UK Biotechnology and Biological Sciences Research Council, and the ongoing Mining Useful Alleles for Climate Change Adaptation from CGIAR Genebanks project, this project combines the use of cutting-edge technologies and approaches, high-performance computing, GIS mapping, and new plant breeding methods to identify and use accessions with high value for climate-adaptive breeding of varieties needed by farmers and consumers.

Objectives:

  • Support faster and more cost-effective discovery and deployment of climate-adaptive alleles from the world’s germplasm collections.
  • Test integrated approaches for the rapid and cost-effective discovery and deployment of climate-adaptive alleles.

Mining Useful Alleles for Climate Change Adaptation from CGIAR Genebanks

The Mining Useful Alleles for Climate Change Adaptation from CGIAR Genebanks project, led by the International Maize and Wheat Improvement Center (CIMMYT), is expanding the use of biodiversity held in the world’s genebanks to develop new climate-smart crop varieties for millions of small-scale farmers worldwide. It aims to identify plant accessions in genebanks that contain alleles, or gene variations, responsible for characteristics such as heat, drought or salt tolerance, and to facilitate their use in breeding climate-resilient crop varieties.

Through this project, breeders will learn how to use genebank materials more effectively and efficiently to develop climate-smart versions of important food crops, including cassava, maize, sorghum cowpea, and rice.

Building on 10 years of support to CIMMYT from the Mexican government, CGIAR Trust Fund contributors, and the UK Biotechnology and Biological Sciences Research Council, the Mining Useful Alleles for Climate Change Adaptation from CGIAR Genebanks project combines the use of cutting-edge technologies and approaches, high-performance computing, GIS mapping, and new plant breeding methods to identify and use accessions with high value for climate-adaptive breeding of varieties needed by farmers and consumers.

This project works closely with the Fast Tracking Climate Solutions from CGIAR Germplasm Banks project.

Objectives

  • Support faster and more cost-effective discovery and deployment of climate -adaptive alleles from the world’s germplasm collections
  • Test integrated approaches for five major crops (i.e., cassava, maize, sorghum, cowpea, and rice), providing a scalable model for the rapid and cost-effective discovery and deployment of climate-adaptive alleles.