Weather-dependent relationships between topographic variables and yield of maize and soybean

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Weather and topography are two important drivers of spatial variability in crop yield, but interactions between these two factors remain poorly understood. To elucidate how spatial yield variability shifts in response to precipitation, we collected data from published literature that examined the yield response of maize (Zea mays L.) or soybean (Glycine max (L.) Merr) to elevation, slope, planar curvature, or profile curvature. From these studies, we extracted correlations between yield and topographic variables for 86 site-years. We assessed the response of yield–topography correlations to the spring and total growing season precipitation of each site-year. Averaged across all site-years, maize yield was negatively correlated to elevation and planar curvature while soybean yield was negatively correlated to slope. For maize, the correlations between yield and elevation, slope, planar curvature, and profile curvature increased from negative to positive with increasing growing season precipitation, whereas for soybean the correlations between yield and elevation and between yield and slope became more negative with increasing growing season precipitation. Spring precipitation was a better predictor of yield–topography correlations than growing season precipitation for soybean but not for maize. We conclude that maize and soybean generally yield higher in low-elevation and low-slope landscape positions, respectively, but the yield–topography relationships vary with precipitation.

Original languageEnglish
Article number108368
JournalField Crops Research
Volume276
DOIs
StatePublished - Feb 1 2022

Bibliographical note

Publisher Copyright:
© 2021 Elsevier B.V.

Funding

This work was supported by the University of Kentucky College of Agriculture Food and the Environment , the University of Kentucky Department of Plant and Soil Sciences , the Southern Sustainable Agriculture Research and Education Graduate Student Grant [ GS19–231 ], the United States Department of Agriculture National Institute of Food and Agriculture Grant Number [ 2020–67013-30860 ], United States Department of Agriculture National Institute of Food and Agriculture Multi-State Funding , the Kentucky Corn Growers Association , and the Karri Casner Environmental Sciences Fellowship . The authors would like to thank the researchers that performed the experiments summarized here for their excellent contributions to the literature, as well as the anonymous peer-reviewers whose insight and recommendations notably increased the strength of this article.

FundersFunder number
Karri Casner Environmental Sciences
Kentucky Corn Growers Association
United States Department of Agriculture National Institute of Food and Agriculture, Agriculture and Food Research Initiative CARE2020–67013-30860
University of Kentucky College of Agriculture Food and the Environment
Department of Plant and Soil Sciences, University of Kentucky
USDA Southern SAREGS19–231

    Keywords

    • Crop yield
    • Curvature
    • Precipitation
    • Slope
    • Spatial variability

    ASJC Scopus subject areas

    • Agronomy and Crop Science
    • Soil Science

    Fingerprint

    Dive into the research topics of 'Weather-dependent relationships between topographic variables and yield of maize and soybean'. Together they form a unique fingerprint.

    Cite this