Cover crops did not change optimal corn nitrogen rate over three variable precipitation seasons in the Western Corn Belt

Tauana Ferreira de Almeida, Lucas Pecci Canisares, Emily Robinson, Gustavo Pesini, Hanna Poffenbarger, Andrea Basche

Research output: Contribution to journalArticlepeer-review

Abstract

Recommending the agronomic optimal nitrogen rate (AONR) for corn remains an elusive agronomic challenge in spite of many decades of research. Adding cover crops to corn production increases the challenge of determining optimum nitrogen (N) rates because of their impact on N cycling. We evaluated the AONR and the corn yield at the AONR following cereal rye, hairy vetch, a rye–vetch mixture, and a no-cover crop treatment in the cover crop-corn growing seasons of 2020–2021, 2021–2022, and 2022–2023 in an experiment that included six N rates (0, 45, 90, 180, 270, and 360 kg N ha−1) in Eastern Nebraska. The only consistent pattern found across years was that cover crops did not decrease the corn grain yield at the AONR, nor did they increase the AONR compared to the no-cover crop treatment. In 2021, a year with near-normal precipitation, the corn yield at the AONR and the AONR were the highest of all 3 years following cover crop treatments. In 2022, the total rainfall during the corn-growing season was approximately half of the 30-year average, decreasing yield at the AONR across treatments. In 2023, growing season total precipitation was closer to normal (86% of the 30-year average), and although there was no significant effect of cover crop treatments on the AONR, there was a decrease in yield compared to near-normal precipitation in 2021. These results highlight weather as a dominant factor driving AONR and do not support the need for higher N rates following winter cover crops.

Original languageEnglish
Article numbere70129
JournalAgronomy Journal
Volume117
Issue number4
DOIs
StatePublished - Jul 1 2025

Bibliographical note

Publisher Copyright:
© 2025 The Author(s). Agronomy Journal published by Wiley Periodicals LLC on behalf of American Society of Agronomy.

Funding

The experiment is a part of the Precision Sustainable Agriculture (PSA), a collaborative project supported by the Agriculture and Food Research Initiative's Sustainable Agricultural System Coordinated Agricultural Projects from the United States Department of Agriculture (USDA) (Award number 2019‐68012‐29818). The authors would like to thank Precision Sustainable Agriculture (PSA) and the Robert B. Daugherty Water for Food Global Institute (DWFI) for funding support as well as Tom Galusha for their support with field research.

FundersFunder number
U.S. Department of Agriculture2019‐68012‐29818

    ASJC Scopus subject areas

    • Agronomy and Crop Science

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