Enhancing green bean crop maturity and yield prediction by harnessing the power of statistical analysis, crop records and weather data.

ABSTRACT: Climate change impacts require us to reexamine crop growth and yield under increasing temperatures and continuing yearly climate variability. Agronomic and agro-meteorological variables were concorded for a large number of plantings of green bean (Phaseolus vulgaris L.) in three growing seasons over several years from semi-tropical Queensland. Using the Queensland government's SILO meteorological database matched to sowing dates and crop phenology, we derived planting specific agro-meteorological variables. Linear and nonlinear statistical models were used to predict duration of vegetative and pod filling periods and fresh yield using agro-meteorological variables including thermal time, radiation and days of high temperature stress. High temperatures over 27.5∘C and 30∘C in the pod fill p

SUBMITTER: Mortlock MY 

PROVIDER: S-EPMC11893118 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature