Bayesian approach for maize yield response to plant density from both agronomic and economic viewpoints in North America.

ABSTRACT: Targeting the right agronomic optimum plant density (AOPD) for maize (Zea mays L.) is a critical management decision, but even more when the seed cost and grain selling price are accounted for, i.e. economic OPD (EOPD). From the perspective of improving those estimates, past studies have focused on utilizing a Frequentist (classical) approach for obtaining single-point estimates for the yield-density models. Alternative analysis models such as Bayesian computational methods can provide more reliable estimation for AOPD, EOPD and yield at those optimal densities and better quantify the scope of uncertainty and variability that may be in the data. Thus, the aims of this research were to (i) quantify AOPD, EOPD and yield at those plant densities, (ii) obtain and compare clusters of yield-dens

SUBMITTER: Lacasa J 

PROVIDER: S-EPMC7525453 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature