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SUNFLOWER

Improving Estimates of Individual Leaf Area of Sunflower

^a CSIRO Div. of Plant Industry, Cotton Res. Unit, Locked Bag 59, Narrabri, NSW 2390, Australia
^b Queensland Dep. of Primary Industries, Agric. Production Systems Res. Unit (APSRU), 203 Tor St., P.O. Box 102, Toowoomba, QLD 4350, Australia
^c School of Natural and Rural Systems Management, The Univ. of Queensland, Lawes, QLD 4343, Australia

michael.bange{at}pi.csiro.au

Simple, accurate, and nondestructive methods of determining leaf area of plants are important for many experimental comparisons. Determining individual leaf area (LA) of sunflower (Helianthus annuus L.) can involve measuring leaf length (L) and breadth (B). The objectives of this field study were to compare published and new models to determine the most precise model to predict the area of individual leaves of sunflower plants and to test the applicability of these models between sowing times, with three genotypes differing in maturity and stature, and at different times during crop growth. The best model, which included both the L and B factors (LA = aL + dL + eLB + c), accommodated changing leaf shape during crop development. The relationship between leaf dimensions and LA was significantly improved when sowing time and the times of leaf sampling were included in the relationship; however, no significant differences were found among genotypes. The relative increase in precision with more complex models was considered. Both length and breadth measurements were needed to attain precision for all leaf sizes, and given the availability of computer-based statistical packages, the use of relatively complex models in the assessment of individual leaf areas would appear to be a practical option.

Abbreviations: B, breadth of leaf lamina • L, length of leaf lamina • LA, individual leaf area • RMS, residual mean squares • R1, bud visible • R5.1, first anthesis • S1, sowing 13 Sept. 1991 • S2, sowing 5 Mar. 1992 • VE, emergence

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