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ARS Home » Midwest Area » Columbus, Ohio » Soil Drainage Research » Research » Publications at this Location » Publication #142875


item Vantoai, Tara
item YANG, Y
item LING, P
item KACIRA, M
item BORU, G
item Roberts, Virginia
item HUA, D

Submitted to: Crop Science Society Of America
Publication Type: Book / Chapter
Publication Acceptance Date: 11/22/2002
Publication Date: 2/1/2004
Citation: VANTOAI, T.T., YANG, Y., LING, P., KACIRA, M., BORU, G., ROBERTS, V.S., HUA, D., BISHOP, B. 2004. MONITORING SOYBEAN'S TOLERANCE TO FLOOD STRESS USING IMAGE PROCESSING TECHNIQUE. Digital Imaging and Spectral Techniques: Applications to Precision Agriculture and Crop Physiology. ASA Special Publication No 66. The American Society of Agronomy. Madison, WI. p 43-51.

Interpretive Summary:

Technical Abstract: Flooding is a common environmental stress that suppresses plant growth. Varietal differences in responses to flooding were generally reported as seed yield, but plant height, biomass, leaf color and chlorophyll content have also been used. Manual measurement of these traits is tedious and often time-consuming. This study was conducted to test the use of machine vision extracted plant features for early, non-contact, and quantitative detection of plant responses to flooding. Top projected canopy area (TPCA) of soybean plants during the two-week flooding was obtained by an image processing technique. Leaf movement was calculated from the average daily TPCA. Leaf movement in response to flooding can be divided into two phases: the first "reactive" phase occurs immediately after the stress and is followed by the second "acclimatized" phase. During the reactive phase, flooded plants moved at greater amplitude in both positive and negative directions than control plants. During the acclimatized phase, flooded plants and control plants moved at similar amplitude. The duration of the reactive phase was 2 to 4 days shorter in the flood-tolerant "107" genotype than the flood-susceptible "157" genotype, indicating that the flood-tolerant genotype acclimatized more quickly to flooding stress than the flood-susceptible genotype. Within the first day of flooding, canopy growth detected by TPCA was reduced by about 50%. Regression analysis of the daily maximum TPCA values against day of flooding fits the two-straight-line spline models with R-square values from 8.15 to 9.84. The slope of the growth curve and the point at which the slope changes reveal the more flood-tolerant characteristics of genotype "107" as compared to genotype "157". TPCA offers a non-destructive technique, more sensitive than plant height and less time consuming than biomass, to quantify canopy growth and detect genotypic differences of soybean to flooding stress.