Defining Optimal Soybean Sowing Dates across the US.

ABSTRACT: Global crop demand is expected to increase by 60-110% by 2050. Climate change has already affected crop yields in some countries, and these effects are expected to continue. Identification of weather-related yield-limiting conditions and development of strategies for agricultural adaptation to climate change is essential to mitigate food security concerns. Here we used machine learning on US soybean yield data, collected from cultivar trials conducted in 27 states from 2007 to 2016, to examine crop sensitivity to varying in-season weather conditions. We identified the month-specific negative effect of drought via increased water vapor pressure deficit. Excluding Texas and Mississippi, where later sowing increased yield, sowing 12 days earlier than what was practiced during this decade acro

SUBMITTER: Mourtzinis S 

PROVIDER: S-EPMC6391372 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature