ORIGINAL RESEARCH article

Front. Plant Sci.

Sec. Functional and Applied Plant Genomics

Volume 16 - 2025 | doi: 10.3389/fpls.2025.1525128

Intensifying cropping sequences in the US Central Great Plains: An in-silico analysis of a sorghum-wheat sequence

Provisionally accepted
  • 1Kansas State University, Manhattan, United States
  • 2Centre for Crop Science, Queensland Alliance for Agriculture and Food Innovation, University of Queensland, St Lucia, Queensland, Australia
  • 3Corteva Agriscience, Johnston, Iowa, United States

The final, formatted version of the article will be published soon.

In the Central Plains of the United States (US), wheat (Triticum aestivum L.) is predominantly grown as a monocrop, limiting profits, and compromising environmental sustainability. In the context of recent reports on crop yield stagnation and the increased frequency and intensity of climate extremes, this study aims to i) evaluate the economic feasibility of double cropping sorghum (Sorghum bicolor L.) with winter wheat; ii) identify regional environmental drivers for yield; and iii) map the spatial distribution of the most profitable crop sequences. The APSIM classic model was used to simulate the baseline wheat and sorghum monocrops and the diversified crop sequence (sorghum-wheat) over 30 years of climatology (1990 to 2020), across 194 sites in Kansas, United States. Each site was characterized in APSIM, with the predominant soil type and current farming crop management practices. Using terciles of historical input costs for all crop sequences we calculated three cost scenarios low, intermediate, and high. A fuzzy-C means algorithm was used to classify regions based on crop sequences' profits, resulting in four clusters.Results included two regions where sorghum-wheat was more profitable than the monocrops i.e., one with lower profits (S+W lower), and a second one with higher profits (S+W higher); a third cluster where wheat monocrop was most profitable (W), and lastly one cluster showing no difference between the sorghum-wheat sequence and the wheat monocrop (S+W or W). Principal component analyses were used to identify environmental drivers of profit in each cluster. Resultsshowed that the profitability of the sorghum-wheat sequence was higher in counties in the southeast and south-central of Kansas. Wheat monocrops were the most profitable option for counties of the west and central regions. Counties from the north-east of the state showed similar patterns amongst scenarios. These results highlight potential avenues for diversifying and intensifying the current wheat monocrop sequence while maintaining or increasing profitability. Lastly, this study delineates a map in Kansas with areas where it would be more profitable for farmers to expand their rotations by adding a second crop per year.

Keywords: Sorghum, wheat, Cropping Sequence, Great Plains, APSIM, modelling

Received: 11 Nov 2024; Accepted: 18 Apr 2025.

Copyright: © 2025 Marziotte, Carcedo, Rodriguez, Mayor, Prasad and Ciampitti. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Lucia Marziotte, Kansas State University, Manhattan, United States
Ignacio Antonio Ciampitti, Kansas State University, Manhattan, United States

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