Publisher Summary The chapter describes the history of the Morrow Plots and the effects of
their experimental treatments on corn yield and soil variables. Statistical analyses of the …

Projections of the impacts of climate change on agriculture require flexible and accurate
yield response models. Typically, estimated yield response models have used fixed …

Rainfall and temperature are the two important weather factors that affect crop yields due to
their direct and indirect influences on agricultural practices. This study has negated the …

Abstract Using a Monte Carlo experiment, the performance of the ordinary least squares
(OLS) and the MM‐estimator, a robust regression technique, is compared in an application …

A Kalman filter algorithm and 1895–1988 data were used to estimate a US corn yield model
which incorporates a stochastic trend term and monthly weather indices. Yield growth …

Historical data on weather extremes and their effects on the nation's economy since the
1940s were assessed to develop annual measures of nationwide losses and to assess their …

This study examines three alternative models of correcting for heteroskedasticity in wheat
yield: the time trend variance, the GARCH, and an econometric model that includes the …

Canola yield functions that account for plant breeders' rights, changes in technology,
measures of varietal diversity and environmental conditions are estimated for the province of …

Climatic and technological factors are two remarkable aspects that are thought to contribute
to crop yield change. However, the most significant factors and their contribution rate remain …

Regional corn yield models incorporating stochastic trends, prices and weather variables
are estimated. Hypothesis tests suggest yield variability has increased because of an …