The inheritance of ozone (O(3)) insensitivity in common bean (Phaseolus vulgaris L.) was evaluated using F(2) and F(3) populations under ambient conditions. This study was conducted over two growing seasons (1987, 1988) at Virginia State University, Randolph Research Farm, Petersburg, Virginia. Two populations were obtained by crossing insensitive plant introductions with sensitive commercial cultivars. Ratings on the scale of 1 to 5 (1 = 0 to 20% leaf injury, 2 = 21 to 40%, 3 = 41 to 60%, 4 = 61 to 80%, and 5 > 80%) were made on 160 F(2), F(3) progenies, and parental lines. Population mean injury ratings were recorded and estimates of genotypic, environmental, and phenotypic variances were computed. Estimates of heritability in the broadsense and of genetic advance were calculated for each population using F(2) and family component variance methods. Population means of the F(2) and F(3) progenies were not significantly different from their mid-parent values, suggesting that genetic variance was primarily additive. Broad-sense heritability estimates using F(2) variance method ranged from 51.4 to 70.5% and using family component variance method ranged from 62.1 to 75.6%. In this study, the computed genetic advance values closely parallel those of heritability estimated values. The high heritable nature of insensitivity would indicate that effective levels of insensitivity could be transferred to agronomically superior cultivars in a relatively short time.
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http://dx.doi.org/10.1016/0269-7491(90)90173-a | DOI Listing |
Environ Sci Technol
November 2024
Department of Environmental Health & Engineering, Johns Hopkins University, Baltimore, Maryland 21212, United States.
Sci Total Environ
December 2024
Department of Environmental Engineering Sciences, University of Florida, Gainesville, FL 32611, USA. Electronic address:
There are numerous air pollutants indoors including chemicals emitted from building environments as well as outdoor-origin species due to human activities. Despite the significance of indoor air quality, the atmospheric process indoors is not well studied. In this study, the secondary organic aerosol (SOA) formation from the oxidation of α-pinene blended with toluene was simulated under varying indoor environments (lamps, NO, ozone, and inorganic seed) using the UNIfied Partitioning Aerosol Reaction (UNIPAR) model.
View Article and Find Full Text PDFSci Total Environ
November 2024
Key Laboratory of Environmental Optical and Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China.
The vertical distribution of tropospheric ozone (O) is crucial for understanding atmospheric physicochemical processes. A Convolutional Neural Networks (CNN) method for the retrieval of tropospheric O vertical distribution from ground-based Multi-AXis Differential Optical Absorption Spectroscopy (MAX-DOAS) measurements to tackle the issue of stratospheric O absorption interference faced by MAX-DOAS in obtaining tropospheric O profiles. Firstly, a hybrid model, named PCA-F_Regression-SVR, is developed to screen features sensitive to O inversion based on the MAX-DOAS spectra and EAC4 reanalysis O profiles, which incorporates Principal Component Analysis (PCA), F_Regression function, and Support Vector Regression (SVR) algorithm.
View Article and Find Full Text PDFMicromachines (Basel)
March 2024
School of Information Science and Engineering (ISE), Shandong University, Qingdao 266237, China.
Ozone (O) is a critical gas in various industrial applications, particularly in semiconductor manufacturing, where it is used for wafer cleaning and oxidation processes. Accurate and reliable detection of ozone concentration is essential for process control, ensuring product quality, and safeguarding workplace safety. By studying the UV absorption characteristics of O and combining the specific operational needs of semiconductor process gas analysis, a pressure-insensitive ozone gas sensor has been developed.
View Article and Find Full Text PDFACS Earth Space Chem
December 2023
School of Science, Technology, Engineering and Mathematics, University of Washington Bothell, 18115 Campus Way NE, Bothell, Washington 98011, United States.
Salt Lake City (SLC), UT, is an urban area where ozone (O) concentrations frequently exceed health standards. This study uses an observationally constrained photochemical box model to investigate the drivers of O production during the Salt Lake Regional Smoke, Ozone, and Aerosol Study (SAMOZA), which took place from August to September 2022 in SLC. During SAMOZA, a suite of volatile organic compounds (VOCs), oxides of nitrogen (NO), and other parameters were measured at the Utah Technical Center, a high-NO site in the urban core.
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