We explored the capability of fusing high dimensional phenotypic trait (phenomic) data with
a machine learning (ML) approach to provide plant breeders the tools to do both in-season …

Context Quantifying historical changes in maize harvest index (HI), the fraction of above-
ground biomass allocated to grain yield, can enhance our ability to explain grain yield trends …

On-farm soybean yield has increased considerably in the last 50 years in southern Brazil,
but there is still little information about how selection and breeding for yield increase has …

The potential grain yield of maize increased tremendously from the 1980s to 2010s, as did
the optimal plant density. However, cultivars were always bred in different environments …

On-farm attainable soybean yields are primarily limited by nutrient and water supply. High-
yielding soybeans is related to high nutrient uptake. A proposed theoretical framework …

As global warming intensifies climatic extremes, the need to understand their effects on
farming systems, particularly under rainfed conditions, grows. During the last three decades …

Few studies have investigated changes over time in nutrient uptake and yield, in addition to
the study of nutrient stoichiometry as a metric of nutrient limitations in soybean [Glycine max …

Assessing yield gap (Yg) is required to identify opportunities for future yield increases.
Central Argentina is one of the most productive soybean regions in the world. In this region …

Plant density and row spacing are management practices that farmers use to maximize
soybean (Glycine max (L.) Merr.) yield. Other canopy aspects related to seedling …

Abstract Soybean [Glycine max (L.) Merr.] is the most important oilseed crop for animal
industry due to its high protein concentration and high relative abundance of essential and …