Company Filing History:
Years Active: 2012
Title: L Radu Totir: Innovator in Maize Breeding Technology
Introduction
L Radu Totir is a notable inventor based in Johnston, IA, who has made significant contributions to the field of maize breeding. His innovative approach leverages genetic information to enhance the efficiency of breeding programs. With one patent to his name, Totir's work is paving the way for advancements in agricultural science.
Latest Patents
Totir's patent, titled "Statistical approach for optimal use of genetic information collected on historical pedigrees, genotyped with dense marker maps, into routine pedigree analysis of active maize breeding populations," presents a groundbreaking method for predicting plant phenotypes. This invention utilizes previously unusable dense marker data derived from historical pedigrees. The method involves collecting information from a population regarding one or more loci, which is then used to construct matrices that calculate the probability of alleles being identical by descent. These matrices facilitate the development of additional matrices that represent the likelihood of individuals descending from specific ancestral genotypes. This innovative approach can significantly enhance breeding programs by improving the selection and classification of individuals, ultimately leading to better plant phenotypes.
Career Highlights
Throughout his career, L Radu Totir has worked with prominent organizations such as Pioneer Hi-Bred International, Inc. and Wageningen University. His experience in these institutions has allowed him to collaborate with leading experts in the field and contribute to significant advancements in maize breeding technology.
Collaborations
Some of Totir's notable coworkers include Marinus C A M Bink and Carl J F Ter Braak. Their collaborative efforts have further enriched the research and development of innovative breeding techniques.
Conclusion
L Radu Totir's contributions to maize breeding through his innovative patent demonstrate the potential of integrating genetic information into agricultural practices. His work not only enhances the efficiency of breeding programs but also holds promise for improving crop yields and sustainability in agriculture.