AN INTEGRATED STATISTICAL APPROACH TO ESTIMATING PLANT RESPONSES TO SEQUENTIAL AND CONCURRENT GASEOUS POLLUTANTS

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概要

• 論文の詳細を見る

• Controlled environment studies of plant response to multiple environmental stresses frequently have physical (such as chamber space) and analytical (such as experimental design and data summary) limitations. This study demonstrates the use of an efficient, integrated statistical approach in evaluating rutabaga (Brassica napus L. ssp. rapifera (Metzg.) Sinsk cv. Laurentian) and cabbage (Brassica oleracea L. var. capitata cv. Market Prize) shoot growth responses to sulphur dioxide (SO_2) followed by ozone (O_3) at acute doses. The approach combines analysis of covariance, an incomplete factorial experimental design, polynomial dose response functions and a reduced-rank regression procedure to the comparison of functions. Young plants were exposed to SO_2 on one day followed by O_3 on the next day. Growth responses to sequential exposure were compared with previously reported growth responses to concurrent exposure to the same doses. Rutabaga growth was sensitive to both gases in both exposure regimes, whereas cabbage growth was sensitive to only SO_2 in the sequential exposure. Rutabaga leaf area and shoot fresh weight responses to sequential exposures followed the same pattern as concurrent responses, and their magnitudes following sequential exposures were approximately 60% of the concurrent responses. Rutabaga shoot dry weight and cabbage shoot fresh and dry weight, and leaf area responses to the sequential exposures were different in both magnitude and pattern from responses to the concurrent exposures. The importance of this work lies in the method for quantification and comparison of plant response to pollutant mixtures, in different exposure patterns. Using a suite of off-the-shelf statistical techniques, plant response to sequential versus concurrent exposure has been mathematically generalized over a broad range of pollutant mixture concentrations. Particularly for the purpose of environmental risk assessment, this integrated statistical technique has broad application to controlled environment studies of plant response to multiple stresses.

• 九州大学の論文

著者

• Hale B.

  Department Of Horticultural Science

• Allen O.

  Departments Of Mathematics And Statistics And Animal And Poultry Science University Of Guelph

• RYAN D.

  Department of Mathematics and Statistics

• ORMROD D.

  Department of Horticultural Science

関連論文

• AN INTEGRATED STATISTICAL APPROACH TO ESTIMATING PLANT RESPONSES TO SEQUENTIAL AND CONCURRENT GASEOUS POLLUTANTS
• COMPARISON OF TOMATO CULTIVARS IN GROWTH CHAMBERS AND IN AN UNHEATED STRUCTURE
• TEMPERATURE EFFECTS ON TOMATO RESPONSE TO OZONE AT CONSTANT VAPOR PRESSURE DEFICIT

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