The shade avoidance syndrome (SAS) in soybean can have destructive effects on yield, as
essential carbon resources reserved for yield are diverted to the petiole and stem for …

Due to depleting water supplies and the cultivation of high water-demanding crops like rice,
water deficit in crop production has become a major concern, especially in semi-arid regions …

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 …

Understanding how crop plants changed to accommodate historical yield improvement
contributes to a fuller understanding of the response of the crop to management practices …

Seed development is a temperature-sensitive process that is much more vulnerable than
vegetative tissues to abiotic stresses. High temperatures during soybean (Glycine max) seed …

Digital imagery can help to quantify seasonal changes in desirable crop phenotypes that
can be treated as quantitative traits. Because limitations in precise and functional …

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 …

Genetic progress is assessed to estimate its contribution to on‐farm yield increases and to
identify traits that have been improved over some period of time. Although Argentina is a …

A genome-wide association study (GWAS) is currently one of the most recommended
approaches for discovering marker-trait associations (MTAs) for complex traits in plant …

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 …