Abstract Crop yield improvement during the last decades has relied on increasing ratio of economic organ to total aboveground biomass, known as harvest index (HI). In most crop models, HI is set a parameter; this empirical approach does not consider that only depends plant genotype, but also affected by environment. An alternative simulate allocation mechanistically, in LPJ-GUESS model, which s...

The occurrence dates of crop phenological events are closely related to the timing agronomic management and therefore key information for agricultural monitoring forecasting as well climate change impact assessment adaptation planning. However, sowing harvesting only variables available in current global datasets. Here, we present 0.5° grid dataset phenology 2000 (the average 1996-2005), called...

Provisioning a sufficient stable source of food requires sound knowledge about current and upcoming threats to agricultural production. To that end machine learning approaches were used identify the prevailing climatic soil hydrological drivers spatial temporal yield variability four crops, comprising 40 years data each from 351 counties in Germany. Effects progress management breeding subtract...

Earlier studies in the horticultural production area around Buenos Aires (Argentina) indicated that field grown leaf lettuce fertilised with 150 kg N ha accumulated NO3-N in the leaves up to concentrations well above the reference limits adopted by European countries. Previous studies also showed that the planning of sowing dates and a sound management may help overcome nutritional quality prob...