Novel Computed Tomography-based tools reliably quantify plant reproductive investment
Y. M. Staedler, T. Kreisberger, S. Manafzadeh, M. Chartier, S. Handschuh, S. Pamperl, S. Sontag, O. Paun, J. Schoenenberger
The paper introduces CT-based tools to quantify pollen and ovule counts in orchids, finding deceptive flowers have more ovules and higher variance in pollen-ovule ratios than rewarding flowers.
bioRxiv · Aug 30, 2017Plant Biology