RNA-Seq and GWAS were used to analyze sorghum forage yield traits across four environments and two locations. This integrative approach to analyzing omics data shows potential in the identification of candidate genes for complex traits.
Hydroponically grown sorghum hybrids in low and high phosphorus environments were assessed for the efficiency of their phosphorus absorption in an effort to determine which lines could best be grown under low-phosphorus conditions.
Using a stereoscope and a semi-automated image processing algorithm, the researchers are able to produce finite element models of plant stalks in under a day with a relatively low equipment cost
Sorghum grown under favorable conditions has high production potential. Photoassimilate production at the source (leaf) and transport to the sink (grain) are primary determinants of the yield. Mapping Quantitative Trait Loci (QTL) for source-sink relationships is of interest to biologists
