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Published online 19 March 2008
Published in Crop Sci 48:408-416 (2008)
© 2008 Crop Science Society of America
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Seed Size Variation in Grain Crops: Allometric Relationships between Rate and Duration of Seed Growth

V. O. Sadrasa,* and D. B. Eglib

a South Australian Research and Development Institute and Univ. of Adelaide, Waite Campus, Adelaide, Australia
b Dep. of Plant and Soil Sciences, Univ. of Kentucky, Lexington, KY 40546-0312

* Corresponding author (sadras.victor{at}saugov.sa.gov.au).

Genetic control and environmental modulation of seed size operate through their influences on rate and duration of seed filling, and their interaction. To account for this interaction, here we advance an allometric model centered on the scaling exponent {alpha} calculated as the slope of the linear regression between duration and rate of grain filling in a log-log scale. The scaling exponent allows for three types of responses: seed size is stable as a result of full compensation between rate and duration ({alpha} = –1), seed size is variable as a result of rate ({alpha} > –1), or duration-dominated growth ({alpha} < –1). The concept was tested with 45 data sets from the literature involving nine crop species, and sources of variation including genotype, environment, and their interaction. Relative variation in seed size ranged from 5 to 274%, and the scaling exponent was strongly concentrated in the range from 0 (large, rate-driven seed size range) to –1 (narrow seed size range due to mutually cancelled effects of rate and duration). The range of seed size declined when the scaling exponent declined from approximately 0 to –1. An {alpha} {approx} –1 (rate and duration effects cancel each other) is necessary and sufficient for small variation in seed size, whereas {alpha} {approx} 0 is necessary but not sufficient for large seed size variation. The magnitude of seed size variation is dependent on the variation in the rate of seed growth when {alpha} {approx} 0. This double condition for seed size variability is summarized in a multiple regression model with {alpha} and range of rate of grain filling as independent variables, which accounted for 73% of the variation in range of seed size.

Abbreviations: GxE, genotype x environment • LS, least squares • RMA, reduced major axis


We thank G.A. Slafer for discussion of temperature effects on the rate and duration of seed growth. Work by VOS is partially funded by the River Murray Improvement Program and DBE was funded by the Kentucky Agricultural Experiment Station.

All rights reserved. No part of this periodical may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or any information storage and retrieval system, without permission in writing from the publisher. Permission for printing and for reprinting the material contained herein has been obtained by the publisher.

Received for publication May 23, 2007.





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