Managing Global Resources for a Secure Future

2017 Annual Meeting | Oct. 22-25 | Tampa, FL

105610 Attributing Soybean Yield Increases from 1940s to 1990s in Canada to the Genotype Improvement and Climate Change.

Poster Number 1429

See more from this Division: ASA Section: Climatology and Modeling
See more from this Session: Examples of Model Applications in Field Research Poster (includes student competition)

Monday, October 23, 2017
Tampa Convention Center, East Exhibit Hall

Qi Jing, Agriculture and Agri-Food Canada, Ottawa Research and Developemnt Centre, Ottawa, ON, CA, Malcolm Morrison, Agriculture & Agri-Food Canada, Ottawa Research and Development Centre, Ottawa, ON, Canada and Budong Qian, Agriculture and Agri-Food Canada, Ottawa Research and Development Centre, Ottawa, ON, Canada
Abstract:
Attributing soybean yield increases from 1940s to 1990s in Canada to the genotype improvement and climate change

Qi Jing, Malcolm J. Morrison, Budong Qian

Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON K1A 0C6, Canada

Abstract

The genotype improvement together with advancing management practices may have contributed to the increasing yield and quality of soybean in the past century. However, very few studies systemically clarified the contributions to soybean yield increases in Canada from genotype improvement and climate change. Quantifying contributions to yield increase from genotype improvement and climate change will provide useful information for developing adaptation strategies for soybean industry to climate change. It is difficult and costly to mimic historical climate for a long-term field experiment. On the other hand, crop models are valuable tools to simulate crop growth with historical climate data. The objectives were to quantify contributions to soybean yield increases from genotype improvement and climate change from 1940s to 1990s in Canada, using an approach combining field experiments and crop modelling. A total of 37 cultivars of maturity group (MG) 00 and 0, released from 1940s to 1990s, were grown in eastern Canada in 1993 and 1994. The CSM-CROPGRO-Soybean model was used to simulate soybean yields under water limited and unlimited conditions and varied CO2 concentration levels. Soybean yield trends from statistical datasets, experiments and simulations were fitted to the linear regression models, respectively. The relative yield change per year was calculated based on the linear regression and the average yield. The results showed that soybean yield increased 1.28% per year in eastern Canada. Genotype improvement led to yield increase 0.5% per year. Soybean yield annually increased 0.7% attributed to climate change, of which 0.29% to the increased CO2 concentration, deducting yield decrease 0.07% caused by increased temperature. Therefore, the soybean yield increases could be attributed to genotype improvement by 40%, climate change in CO2and temperature by 17%. Rainfall might determine over 30%, and management improvement like weed control and applications of pesticide and herbicide for the rest of yield increase.

Keywords: Crop model, Temperature, CO2, Genotype, Environment

See more from this Division: ASA Section: Climatology and Modeling
See more from this Session: Examples of Model Applications in Field Research Poster (includes student competition)