AQD garners best research awards

AQD scientist Dr. MR Eguia (center) receiving her trophyAQD scientist Dr. Maria Rowena Eguia received the prestigious Dr. Elvira O. Tan Memorial Award for her paper on Genetic changes during mass selection for growth in Nile tilapia, Oreochromis niloticus (L), assessed by microsatellites. The paper was recognized as the Best published paper in aquaculture and inland fisheries by the Philippine Department of Science & Technology in a ceremony held 27 July at Los BaƱos, Laguna.

Dr. Eguia and her co-authors -- Dr. Minuro Ikeda, Dr. Zubaida Basiao, and Dr. Nobuhiko Taniguchi -- worked on the National Inland Fisheries Institute (NIFI) or Chitralada Nile tilapia strain, noting that there were changes in both the control (unselected) and selected (or improved) tilapia in terms of genetic diversity indices (alleles, heterozygosity, and inbreeding rate). They concluded that inbreeding levels in aquatic animal stocks can be detected using genetic markers, information that would be useful in formulating effective stock management protocols to minimize stock deterioration.

AQD Senior Technical Assistant Ms. Dianne Hope TormonAnother AQD research staff, Ms. Dianne Hope Tormon, was awarded the Best scientific paper for her work on Identifying women’s roles in sustainable aquaculture livelihood development: experiences from the oil spill crisis in Guimaras Strait in the Philippines during the 5th National conference of the national network on women in fisheries in the Philippines that was held 15-17 September in Cagayan de Oro City, Philippines.

Ms. Tormon co-wrote the paper with AQD’s associate scientist Dr. Nerissa Salayo and socioeconomist Mr. Renato Agbayani, noting that the women were interested in every livelihood option and were willing to learn new skills to augment household income. Aquaculture offers opportunities for the productive use of skills of both genders but the activities are different though interrelated.

1 comment:

mic_comte said...

For reference, here is how to compute inbreeding:
Inbreeding computation