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Sensor-assisted breeding of high-performance soybean varieties with increased tolerance to abiotic stresses (SENSOJA)

Project


Project code: 2820EPS030
Contract period: 01.03.2023 - 28.02.2026
Budget: 106,285 Euro
Purpose of research: Applied research
Keywords: remote sensing, climate protection, climate protection, sustainability, plant genetic resources, soybean

Soybeans are the world's most important legume, with a current cultivation area of 135 million hectares. Demand for soybeans is also very high in Germany, with around 3.6 million tons imported in 2019. In contrast, only 107 thousand tons of soybeans were produced in Germany in 2021. In addition to the use of soybeans as animal feed, the use of soybeans directly in human nutrition continues to increase. Therefore, the market is far from being able to be served by domestic soybeans. By breeding new varieties, plant breeding can help to ensure that significantly more soybeans are grown in Germany so that the many positive aspects of legume cultivation can be exploited even more. In order to achieve a further expansion of area, average yields in particular should continue to rise. This is possible through intensive breeding with modern breeding methods and the development of genetic resources. The year 2022 has made it abundantly clear that weather extremes such as drought are increasing sharply, so breeding must deal intensively with abiotic stress. The overall goal of the project is therefore to optimize plant breeding processes to produce improved soybean breeding material and make it available for agricultural practice. This will be reached by: Establishing new soybean lines with improved protein yield, gaining knowledge on whether the recently developed phenomic selection methodology can speed up soybean breeding, gaining knowledge on drought stress tolerance of early maturing soybeans and its implementation in the breeding process, and establishing a modern soybean breeding program using soybean genetic resources and the use of modern sensor technology.

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