3 results about "Unfertilized Eggs" patented technology

A method for processing a plurality of bird eggs, particularly unfertilized eggs, comprising: a step of transporting a first egg (E1) having a first eggshell color and a second egg (E2) having a second eggshell color along a transport path, wherein the first eggshell color is different from the second eggshell color; a step of illuminating the first egg (E1) with an illumination beam (B) of infrared light, wherein at least a portion of the light is transmitted through the egg (E1) and detected by a near-infrared light detector (5); a step of illuminating the second egg (E2) with an illumination beam (B) of near-infrared light, wherein at least a portion of the light is transmitted through the egg (E2) and detected by a near-infrared light detector (5); and to determine the shell condition of each egg (E1, E2), the step of processing the light detection result of the infrared light detector (5) is included, and the detection of the illumination and / or transmitted light of the eggs (E1, E2) is performed under substantially the same illumination and / or detection conditions, respectively.

Methods for improving parthenogenesis efficiency by DWT1 and BABY BOOM transcription factors in plants are provided. A rice embryo trigger transcription factor BABY BOOM1 can initiate embryogenesis when expressed in the unfertilized egg cell through a process called parthenogenesis (Khanday et al., 2019. Nature 565: 91-95). The parthenogenesis efficiency by BABY BBOM1 itself is 10-29%. This invention describes methods of high frequency of parthenogenesis by simultaneous expression of BABY BOOM and DWT1 transcription factors. When BABY BOOM1 and DWT1 are expressed together through egg cell-specific promoters, parthenogenesis efficiencies of up to 90% are achieved. These high parthenogenesis efficiencies are a prerequisite for field applications of synthetic apomixis in crop plants.

Methods and systems are described for predicting probabilities of unfertilized eggs becoming blastocysts. For example, a method can include a trained machine-learning model receiving images of unfertilized eggs. The trained machine-learning model can determine predictions for each of the unfertilized eggs becoming blastocysts based at least on the appearance of the unfertilized eggs in the images. The predictions can be provided by the trained machine-learning model. Based on the predictions, a distribution of the unfertilized eggs into cohorts can be determined, including. Then, based on the cohorts, a second prediction of a cohort producing at least one blastocysts can be determined.