SGB's breeding, plant genomics and agronomy platform has developed a portfolio of high-performing hybrids with significantly improved yields and profitability.
SGB’s intensive breeding and selection program identifies and develops the most productive, regionally adapted material from our extensive array of genetic diversity. We continue to improve the crop economics by improving plant performance while lowering agronomic inputs. Our breeders and agronomists are continually refining all aspects of the company’s crop health and performance related practices, as well as addressing issues related to disease and pest pressure through the development of resistant hybrids. Through SGB’s development and advancement of its hybrids, the annualization and mechanization of this crop is now a reality.
In support of the breeding activities, SGB applies its proprietary, sophisticated genotyping and molecular breeding platform designed to shorten breeding cycles and accelerate the time to marketplace of elite, non-GMO (genetically modified organism) planting material. SGB scientists developed a state of the art, high throughput genotyping pipeline for multi-allelic determinations. This genotyping platform enables rapid and precise DNA barcoding of parental and hybrid lines with unique molecular identifiers.
These technologies, combined with advanced genomic methods, provide the foundation for SGB’s aggressive breeding program. Molecular phylogenies of parental lines constructed from robust GBS data sets provide breeders with predictive information for maximizing hybrid performance, thus reducing the number of hybrid combinations that need to be trialed. This further reduces the time required to produce our advanced hybrids.
SGB’s team of agronomists develops customized agronomic protocols for each project’s local conditions, including land preparation, irrigation, crop nutritional requirements, management of disease, insects and weeds. SGB is also addressing production practices and strategies for the optimization of plantation systems.