Using the Montgomery-Koyama-Smith equation to calculate the stomatal area per unit lamina area for 12 Magnoliaceae species.

BACKGROUND AND AIMS: The Montgomery-Koyama-Smith (MKS) equation predicts that total leaf area per shoot is proportional to the product of the sum of individual leaf widths and maximum individual leaf length, which has been validated for some herbaceous and woody plants. The equation is also predicted to be valid in describing the relationship between the total stomatal area per micrograph (AT) and the product of the sum of individual stomatal widths (denoted as LKS) and maximum individual stomatal length (denoted by WKS) in any particular micrograph. METHODS: To test the validity of the MKS equation, 69,931 stomata (from 720 stomatal micrographs from 12 Magnoliaceae species) were examined. The area of each stoma was calculated using empirical measurements of stomatal length and width multiplied by a constant. Six equations describing the relationships among AT, LKS, and WKS were compared. The root-mean-square (RMSE) and the Akaike information criterion (AIC) were used to measure the goodness of fit, and the trade-off between the goodness of fit and the structural complexity of each model, respectively. KEY RESULTS: Analyses supported the validity of the MKS equation and the power-law equation AT ∝ (LKS∙WKS)α, where a is a scaling exponent. The estimated values of α at the species level and for the pooled data were all statistically smaller than unity, which did not support the hypothesis that AT ∝ LTS∙WTS. The power-law equation had smaller RMSE and AIC values than the MKS equation for the data from the 12 individual species and the pooled data. CONCLUSIONS: These results indicate that AT tends to allometrically scale with LKS∙WKS, and that increases in AT do not keep pace with increases in LTS∙WTS. In addition, using the product of LKS and WKS is better than using only one of the two variables.

Target gene overexpression and enhanced metabolism confer resistance to nicosulfuron in Eriochloa villosa (Thunb.).

Eriochloa villosa (Thunb.) Kunth is a troublesome weed widely distributed in maize (Zea mays L.) fields in Northeast China. Many populations of E. villosa have evolved resistance to nicosulfuron herbicides, which inhibit acetolactate synthase (ALS). The objectives of this research were to confirm that E. villosa is resistant to nicosulfuron and to investigate the basis of nicosulfuron resistance. Whole-plant dose-response studies revealed that the R population had not developed a high level of cross-resistance and exhibited greater resistant (25.62-fold) to nicosulfuron than that of the S population and had not yet developed a high level of cross-resistance. An in vitro ALS activity assay demonstrated that the I50 of nicosulfuron was 6.87-fold greater in the R population than the S population. However, based on ALS gene sequencing, the target ALS gene in the R population did not contain mutations. Quantitative real-time polymerase chain reaction (qRT-PCR) revealed that ALS gene expression between the R and S populations was significantly different after nicosulfuron application, but no differences were observed in the gene copy number. After the cytochrome P450 inhibitor malathion or the GST inhibitor NBD-Cl was applied, the resistant E. villosa population exhibited increased sensitivity to nicosulfuron. Based on the activities of GSTs and P450s, the activities of the R population were greater than those of the S population after nicosulfuron application. This is the first report that the resistance of E. villosa to ALS inhibitors results from increased target gene expression and increased metabolism. These findings provide a theoretical foundation for the effective control of herbicide-resistant E. villosa.