Alfalfa water productivity and yield gaps in the U.S. central Great Plains

Authors

Kaylin P. Fink, Kansas State University
Patricio Grassini, University of Nebraska-LincolnFollow
Alexandre Rocateli, Oklahoma State University
Leonardo M. Bastos, University of Georgia
Jude Kastens, The University of Kansas
Luke P. Ryan, Kansas State University
Xiaomao Lin, Kansas State University
Andres Patrignani, Kansas State University
Romulo P. Lollato, Kansas State University

Date of this Version

10-11-2022

Citation

Field Crops Research 289 (2022) 108728. https://doi.org/10.1016/j.fcr.2022.108728

Comments

Open Access.

Abstract

Context: Yield gap (Yg) analyses using farmer-reported yield and management data have been performed for a number of annual grain crops, but it lacks for perennial forages. The U.S. accounts for 21 % of the global alfalfa production with a large rainfed area located in the central Great Plains, serving as an interesting case-study for Yg in perennial forages. Most existing alfalfa Yg analyses quantified the magnitude of the Yg but failed to identify associated management practices to reduce it. Challenging this analysis, a systematic benchmark for alfalfa water productivity [WP, kg dry matter per mm evapotranspiration (ETc)] that allows for the quantification of Yg in farmer fields does not exist.

Objectives: Our objectives were to (i) benchmark alfalfa WP, (ii) quantify Yg in alfalfa farmer fields, and (iii) identify management opportunities to improve alfalfa yield.

Methods: We conducted a systematic review of literature and compiled a database on alfalfa yield and ETc (n = 68 papers and 1027 treatment means) from which a WP boundary function was derived. We collected management and yield data from 394 commercial rainfed alfalfa fields during 2016–2019 in central Kansas. We then used satellite imagery to define the growing season (and corresponding water supply) for each field. The boundary function was then used to calculate Yg of each field, and conditional inference trees (CIT) explored the impact of management practices associated with increased yield.

Results: Our boundary function suggested an alfalfa WP of 34 kg ha^-1 mm^-1. Farmer-reported yield ranged from 0.9 to 19.0 Mg ha^-1, averaging 7.6 Mg ha^-1. Alfalfa water-limited yield potential (Yw) ranged from 11.1 to 23.2 Mg ha^-1, resulting in an average yield gap of 54–60 % of Yw. Row spacing, seeding rates, and management of phosphorus fertilizer were major agronomic practices explaining alfalfa yields in farmer fields, followed by surrogate variables as sowing season, stand age, and soil pH.

Conclusions: Our study provided the first systematic analysis estimating attainable alfalfa WP as function of ETc, suggesting that large alfalfa Yg exist in the U.S. central Great Plains. We also identified key agronomic practices associated with increased alfalfa yield.

Significance: The WP here derived can be used for future studies aiming at quantifying alfalfa Yg across the globe. This was an initial step in quantifying Yg and its associated causes at farmer fields, and we highlight limitations and future directions for perennial forages yield gap analyses.