Abstract

An approach to the exact quantitative analysis of seed traits without using reference material is proposed basing on the quantum (discreet) nature of seed distribution is seed lots. The approach has been proven theoretically and supported experimentally with the analysis of the presence of seeds of soybean lines A2704-12, A5547-127 and GTS 40-3-2 in seed lots with the use of PCR in real-time mode tracing the transformation events. The approach may be applied not to PCR techniques only but to seed testing with whatever physical method provide the observed signal is obtained in exact values and the correlation between the signal and concentration of traced seeds is known. The approach can be of significant value in the issues of adventitious/technically unavoidable presence (AP), labeling, low level presence (LLP) and thus significantly simplify and decrease the cost of seeds breeding and trade.

Keywords

Biotechnology seeds, seed testing, quantitative analysis, hypergeometric distribution, statistical algorythm, real-time PCR, certified reference materials, self-reference