Leaf area prediction model for sugar beet (<Emphasis Type="Italic">Beta vulgaris</Emphasis> L.) cultivars |
| |
Authors: | J T Tsialtas N Maslaris |
| |
Institution: | (1) Hellenic Sugar Industry SA, Greece;(2) Department of Experimentation, Larissa factory, 411 10 Larissa, Hellas;(3) Agronomic Research Service, 574 00 Sindos, Hellas;(4) Present address: Cotton and Industrial Plants Institute, NAGREF, 574 00 Sindos, Hellas |
| |
Abstract: | In two successive years (2003 and 2004), a set of 16 commercial sugar beet cultivars was established in Randomized Complete
Block experiments at two sites in central Greece. Cultivar combination was different between years, but not between sites.
Leaf sampling took place once during the growing season and leaf area, LA cm2], leaf midvein length, L cm] and maximum leaf width, W cm] were determined using an image analysis system. Leaf parameters
were mainly affected by cultivars. Leaf dimensions and their squares (L2, W2) did not provide an accurate model for LA predictions. Using L×W as an independent variable, a quadratic model (y = 0.003
x2 − 1.3027 x + 296.84, r
2 = 0.970, p<0.001, n = 32) provided the most accurate estimation of LA. With compromises in accuracy, the linear relationship between L×W and
LA (y = 0.5083 x + 31.928, r
2 = 0.948, p<0.001, n = 32) could be used as a prediction model thanks to its simplicity. |
| |
Keywords: | Additional" target="_blank">Additional leaf length leaf width morphology non-destructive methods |
本文献已被 SpringerLink 等数据库收录! |
|