-
Article
Open AccessHigh-throughput phenoty** for non-destructive estimation of soybean fresh biomass using a machine learning model and temporal UAV data
Biomass accumulation as a growth indicator can be significant in achieving high and stable soybean yields. More robust genotypes have a better potential for exploiting available resources such as water or sunl...
-
Article
Open AccessAuthor Correction: Increase of isoflavones in the aglycone form in soybeans by targeted crossings of cultivated breeding material
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
-
Article
Open AccessIncrease of isoflavones in the aglycone form in soybeans by targeted crossings of cultivated breeding material
Isoflavones are a group of phytoestrogens, naturally-occurring substances important for their role in human health. Legumes, particularly soybeans (Glycine max (L.) Merr.), are the richest source of isoflavones i...
-
Article
Exploring the performance of genomic prediction models for soybean yield using different validation approaches
Genomic selection is a valuable breeding tool that has a great potential for implementation in a real breeding program, as long as prediction model performance is carefully evaluated for each specific scenario...