Interactive effects of carbon dioxide, low temperature, and ultraviolet-B radiation on cotton seedling root and shoot morphology and growth

Abstract

Interactive effects of multiple environmental stresses are predicted to have a negative effect on cotton growth and development and these effects will be exacerbated in the future climate. The objectives of this study were to test the hypothesis that cotton cultivars differ in their responses to multiple environmental factors of (CO₂) [400 and 750 µmol·mol⁻¹ (+(CO₂)], temperature [28/20 and 20/12°C (−T)], and UV−B radiation [0 and 10 kJ·m⁻²·d⁻¹ (+UV−B)]. A genetic and molecular standard (TM-1) and three modern cotton cultivars (DP1522B2XF, PHY496W3R, and ST4747GLB2) were grown in eight sunlit, controlled environment chambers with control treatment 400 µmol·mol⁻¹ [CO₂], 28/21°C temperature, and 0 kJ UV−B. The results showed significant differences among the cultivars for most of the shoot and root parameters. Plants grown under low temperature alone or as a combination with+UV−B treatment caused more detrimental effects on root and shoot vigor. Although the elevated CO₂ treatments weakened the damaging effects of higher UV−B levels on cotton growth on all cultivars, increased CO₂ could not mask the negative effects of low temperature. When comparing all cultivars, genetic standard TM-1 produced the smallest values for the majority of traits under CO₂, UV−B, and low temperature either alone or in combination with other treatments. Based on principal component analysis, the four cultivars were classified as tolerant (DP1522B2XF), intermediate (PHY496W3R and ST4747GLB2) and sensitive (TM-1) to multiple environmental stresses.Low temperature was identified as the most damaging treatment to cotton early seedling vigor while elevated CO₂ caused the least. Existing variability of cotton cultivars in response to multiple environmental stresses could allow for selection of cultivars with the best coping ability and higher lint yield for future climate change environments.

Keywords

Cotton / Climate change / winRHIZO / Principal component analysis. / Stress tolerance. / Abbreviations: DAP, Days after planting / SPAR- Soil-Plant-Atmosphere-Research / PCA, Principal component analysis / SGR, Seed germination rate / PH, Plant height / NOD, Node number / NAR, Node addition rate / LA, Leaf area / LW, Leaf weight / SW, Shoot weight / RW, Root weight / TD, Total dry weight / RS, Root/shoot ratio / RL, Root length / RSA, Root surface area / RD, Root diameter / RLV, Root length per soil volume / RV, Root volume / RT, Number of tips / RF, Number of forks / RC, Number of crossings / SPAD, Total chlorophyll / PHOL, phenolic content

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Acknowledgement

This work is partially supported by the USDA NIFA projects (2014-34263-22038, G-89701-1 and 2015-34263-24070, G-14901-1) and the Cotton Incorporated, Inc., USA. We would like to thank fellow graduate students for their help in taking measurements and processing samples in the lab. This study is a contribution of the Department of Plant and Soil Sciences, Mississippi State University, and the Mississippi Agricultural and Forestry Experiment Station.

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