Improving modeling of low-altitude particulate matter emission and dispersion: A cotton gin case study.

Monitoring and modeling of airborne particulate matter (PM) from low-altitude sources is becoming an important regulatory target as the adverse health consequences of PM become better understood. However, application of models not specifically designed for simulation of PM from low-altitude emissions may bias predictions. To address this problem, we describe the modification and validation of an air dispersion model for the simulation of low-altitude PM dispersion from a typical cotton ginning facility. We found that the regulatory recommended model (AERMOD) overestimated pollutant concentrations by factors of 64.7, 6.97 and 7.44 on average for PM2.5, PM10, and TSP, respectively. Pollutant concentrations were negatively correlated with height (p < 0.05), distance from source (p < 0.05) and standard deviation of wind direction (p < 0.001), and positively correlated with average wind speed (p < 0.001). Based on these results, we developed dispersion correction factors for AERMOD and cross-validated the revised model against independent observations, reducing overestimation factors to 3.75, 1.52 and 1.44 for PM2.5, PM10 and TSP, respectively. Further reductions in model error may be obtained from use of additional observations and refinement of dispersive correction factors. More generally, the correction permits the validated adjustment and application of pre-existing models for risk assessment and development of remediation techniques. The same approach may also be applied to improve simulations of other air pollutants and environmental conditions of concern.

A Rapid and Reliable Method for Evaluating Cotton Resistance to Fusarium Wilt Race 4 Based on Taproot Rot at the Seed Germination Stage.

Fusarium oxysporum f. sp. vasinfectum race 4 (FOV4) is a soilborne fungal pathogen threatening U.S. cotton production. The objective of this study was to develop a reliable and efficient method to evaluate cotton for FOV4 resistance based on taproot rot during seed germination through five growth chamber tests and two greenhouse tests. Seeds from eight cotton cultivars (Set 1) were germinated in a paper towel for 6 days, and taproots were inoculated with a FOV4 conidial suspension using three inoculation methods (i.e., taproot dipping, taproot wounding, and paper towel drenching), in addition to seed soaking before germination. The taproot rot-based disease incidence (DI) and disease severity rating (DSR), seed germination percentage (SGP), and plant fresh weight (PFW) were measured 7 days after inoculation. Taproot dipping was the most efficient and reliable evaluation method. The SGP and PFW were not significantly correlated with the DI and DSR, making them inappropriate to use in resistance evaluation. Pima DP 359 RF and PHY 881 RF were the most resistant with the lowest root rot. The taproot dipping method was repeated in another test and confirmed in two tests using another set of eight cultivars (Set 2). The taproot rot-based DSR at germination was significantly correlated with the DSR at the seedling stage in the greenhouse in both sets and with previous results in seedling mortality in the greenhouse and field in Set 2. The results suggest that the response to FOV4 infections at the seed germination stage is overall congruent with that at the seedling stage.

Studies of Evaluation Methods for Resistance to Fusarium Wilt Race 4 (Fusarium oxysporum f. sp. vasinfectum) in Cotton: Effects of Cultivar, Planting Date, and Inoculum Density on Disease Progression.

Fusarium wilt caused by Fusarium oxysporum f. sp. vasinfectum race 4 (FOV4) is an early season disease causing root rot, seedling wilt, and death. To develop an appropriate field evaluation method for resistance to FOV4 in cotton breeding, the objectives of this study were to investigate the effects of cultivar, planting date, and inoculum density on disease progression in 2020-2021. Results showed that the usual local mid-April planting had the lowest disease severity (DSR) or mortality rate (MR) in 2020 and 2021. DSR or MR increased at the late April and early May plantings in both years and reached the highest at the early May planting in 2020, while MR in 2021 was followed by a decrease in the late May planting and reached the highest in the mid-June planting. Local daily low temperatures between mid-April and mid-June were favorable for FOV4 infections, whereas daily high temperatures at 35°C or higher suppressed wilt severity. When seedlings at the 2-true leaf stage were inoculated with 104, 105, 106, and 107 conidia ml-1 per plant in 2020, DSR was low but a linear relationship between inoculum density and DSR was observed. When a FOV4-infested soil supplemented with artificial inoculation was used, disease progression in three moderately susceptible or moderately resistant cultivars followed a linear model, while it followed a quadratic model in the highly susceptible Pima S-7 cultivar only. Among the other three cultivars, FM 2334GLT had the lowest DSR or MR except for one planting date in both years, followed by PHY 725 RF and Pima PHY 881 RF in ascending order, which were consistent with the difference in regression coefficients of the linear models. This study demonstrates that disease progression curves due to FOV4 can be used to compare responses to FOV4 infections among cotton genotypes in cotton breeding and genetic studies, regardless of planting date and inoculation method.