Projects & Publications
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Equidistant vs. non-equidistant soybean plant arrangements
Previous studies conducted in the US over the last century explored the effects of equidistant plant arrangement on soybean yield, demonstrating a positive effect of equidistant arrangement. Concurrently, breeding endeavors have progressively enhanced soybean compensation over the years. Hence, nowadays exists a significant gap in recent research investigating the benefits of equidistant arrangements.
The study aims to:
i) assess the effects of equidistant versus non-equidistant plant arrangements on soybean yield and seed quality across different regions in the United States (US);
ii) explore potential correlations between alterations in canopy development resulting from different plant arrangements and their influence on yield and seed quality.
On-Farm data analysis
We are currently exploring different approaches to analyze On-Farm data, specifically focusing on evaluating topographic variables within the farm.
Optimum planting date x maturity group for soybeans under current and future weather conditions in Kansas
Optimizing planting date by maturity group (PD × MG) is critical to increase productivity and reduce production risks. Understanding the effect of management, not only under current, but also future weather conditions, is even more relevant for developing effective mitigation strategies.
This study provides an analysis of the optimum combinations of soybean PD × MG management in the central-eastern region of Kansas (United States) for both current and future weather conditions. Three geographical clusters illustrating the main environmental and management characteristics were defined within the central-eastern region of Kansas.
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Publication:
van Versendaal, E., Carcedo, A. J., Adee, E., Sassenrath, G., Dooley, S., Lingenfelser, J., & Ciampitti, I. A. (2023). Integrating Field Data and a Modeling Approach to Inform Optimum Planting Date× Maturity Group for Soybeans under Current and Future Weather Conditions in Kansas. Sustainability, 15(2), 1081. DOI: https://doi.org/10.3390/su15021081
Nitrogen Nutrition Index initiative
Publications:
Lacasa, J., Makowski, D., Hefley, T., Fernandez, J., van Versendaal, E., Lemaire, G., & Ciampitti, I. (2023). Comparison of statistical methods to fit critical nitrogen dilution curves. European Journal of Agronomy, 145, 126770. DOI: https://doi.org/10.1016/j.eja.2023.126770
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Fernandez, J. A., van Versendaal, E., Lacasa, J., Makowski, D., Lemaire, G., & Ciampitti, I. A. (2022). Dataset characteristics for the determination of critical nitrogen dilution curves: From past to new guidelines. European Journal of Agronomy, 139, 126568. DOI: https://doi.org/10.1016/j.eja.2022.126568
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Ciampitti, I., van Versendaal, E., Rybecky, J. F., Lacasa, J., Fernandez, J., Makowski, D., & Lemaire, G. (2022). A global dataset to parametrize critical nitrogen dilution curves for major crop species. Scientific Data, 9(1), 277. DOI: https://doi.org/10.1038/s41597-022-01395-2
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