Ploidy Predictor
Differentiating diploid from triploid fish or bivalve larvae at the earliest life stage possible allows for a more efficient use of hatchery resources, including production time and rearing space. Thus, a reliable flow cytometric (FCM) method has been developed to discriminate triploids from diploids at this early larval stage. In order to simplify this process, we present a simple website tool for predicting the percentage of triploid larvae within a single spawn after processing larvae from that spawn, followed by FCM analysis.
To calculate the predicted triploidy range, follow these 3 steps:
1. Select number of larvae (trial size):
2. Enter the flow cytometrically generated, observed triploidy percentage (between 0% and 100%):
| Lower Limit | Predicted Value | Higher Limit |
|---|---|---|
Chart
This tool is based on the publication:Jenkins, J.A., R. Draugelis-Dale, R.P. Glennon, A.M. Kelly, B.L. Brown, and J.R. Morrison. 2017. An accurate method for measuring triploidy of larval fish spawns. North American Journal of Aquaculture 79:224-237. https://doi.org/10.1080/15222055.2017.1296517
If you have questions about the article, please contact Dr. Jill Jenkins at jenkinsj@usgs.gov.
Website hosting/maintenance provided by:
USGS Wetland and Aquatic Research Center (WARC) Advanced Applications Team (warc_aat@usgs.gov).
Original client side source code authored by: Bogdan Chivoiu (chivoiub@contractor.usgs.gov).
This software has been approved for release by the U.S. Geological Survey (USGS). Although the software has been subjected to rigorous review, the USGS reserves the right to update the software as needed pursuant to further analysis and review. No warranty, expressed or implied, is made by the USGS or the U.S. Government as to the functionality of the software and related material nor shall the fact of release constitute any such warranty. Furthermore, the software is released on condition that neither the USGS nor the U.S. Government shall be held liable for any damages resulting from its authorized or unauthorized use.