Ignacio A. Ciampitti

TL;DR: Improved understanding of the physiological factors underlying progress in maize yield response to N over time, within the context of changing G × E ×-M factors, serves to help guide maize programs focused on achieving further improvements in N use efficiency.

TL;DR: Both plant density and N rate affected growth parameters and grain yield in this study, but hybrid effects were negligible and plant density-driven increases in N uptake by shoot and/or ear components were not enough, by themselves, to increase NUE.

TL;DR: In this paper, the performance of three different algorithms (multivariate OLS linear regression, random forest and LSTM neural networks) for forecasting soybean yield using NDVI, EVI, land surface temperature and precipitation as independent variables, and evaluate how early (during the soybean growing season) this method is able to forecast yield with reasonable accuracy.

TL;DR: Grain N concentration was the main parameter that has changed over time, and reproductive N contributed proportionally more to Grain N for the New Era while r eproductive.

TL;DR: Both floret fertility and individual grain weights decreased quadratically with increasing duration (0–35 d or 49 d during floret development or grain filling stage, respectively) of high temperature stress.