TEMPERATURE AND ALDICARB EFFECTS ON COTTON ROOT GROWTH AND DEVELOPMENT
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概要
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The effects of temperature on cotton (Gossypium hirsutum L.) canopy growth is well documented, but there have been few studies on root growth and root distribution patterns. The purpose of this study was to determine how cotton root growth at different soil depths responded to temperature during the early growing stages, so that these responses could be incorporated into plant growth models used to manage cotton production. In addition, the effect of aldicarb, a systemic insecticide widely used in the cotton growing regions, on root growth was also evaluated. Cotton plants (cv. DES-119) were grown in outdoor sunlit soil-plant-atmosphere-research units at four day/night temperatures (20/12, 30/22, 35/27, 40/32℃). Aldicarb was applied to soil at sowing at 0.84kg ha^<-1> and at initial flower bud formation at 2.24kg ha^<-1>. Root number, length, and distribution in various soil depths were determined weekly during a 56 day experimental period. Plants grown at 30/22℃ produced more growing roots than those grown at either 20/12℃ or 40/32℃ at the end of the experiment. Root length at 30/22 and 35/27℃ was also 20% greater than that at 40/32℃. Total root dry weight at 30/22℃ was 1.5 and 5 times as much as those at 40/32 and 20/12℃, respectively. Increases in day/night temperatures resulted in increases in rooting depth and the percentages of root distribution in the deeper soil depths. Aldicarb not only increased total root dry weight for all four temperatures, but also altered root distribution in favor of the 20-40 and >40cm soil depths over the top 20cm layer. Our results showed that the optimum range of temperature for cotton root growth is 30/22 to 35/27℃, and that both high temperatures and aldicarb altered the distribution of roots, favoring deeper root systems under optimum water and nutrient conditions.
- 九州大学の論文
著者
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Reddy K.
Plant And Soil Science Department Mississippi State University
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REDDY V.
Remote Sensing and Modeling Laboratory
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WANG Z.
Remote Sensing and Modeling Laboratory