Integrative investigation shows promise for narrowing candidate genes in forage sorghum yield and other complex traits

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.

Sorghum GC1 Encodes an Atypical Gγ-like Subunit that Controls Glume Coverage

Naturally truncated variations of GC1 (Glume Coverage 1) were found to result in low glume coverage relative to wild sorghum varieties, presenting a possible target for gene editing.

Phosphorus Efficiency in Sorghum Hybrids Shows Potential for Increasing Production in Nutrient-Difficient Soils

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.

Evidence Found Supporting Stay-Green Alleles Involvement in Drought Adaptation in Sorghum

Researchers studied 590 West African sorghum lines under different types of drought stress conditions and identified drought-tolerant loci.

Genetic Factors Behind Sorghum Leaf Angle Show Promise for Increasing Yield

RNA seq was performed on sorghum collar tissue from different canopy levels. Differentially expressed genes (DEGs) were filtered and 11 candidate genes that can be leveraged to improve leaf angle.

Quicker, More Cost Effective Method for Assessing the Phenotypic Characteristics Associated with Stalk Lodging

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

Performance Prediction Through Genomic Selection in Hybrid Sorghum

Researchers study the utility of genomic selection for predicting the performance of hybrid grain sorghum, and identify an effective method that models the interaction between genotypes and the environment to optimize crop outcomes.

Inadvertent Introgression: Pleiotropy and the Sorghum Genome

Mural et al. analyzed existing trait datasets and found evidence for the presence of previously unknown pleiotropic genes in the sorghum genome.

QTL Identified for Source-Sink Relationships in a Bi-Parental Recombinant Inbred Line Population

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