Hostname: page-component-78c5997874-t5tsf Total loading time: 0 Render date: 2024-11-14T05:42:57.824Z Has data issue: false hasContentIssue false

13Carbon Isotope Discrimination in Roots and Shoots of Major Weed Species of Southern U.S. Rice Fields and Its Potential Use for Analysis of Rice–Weed Root Interactions

Published online by Cambridge University Press:  20 January 2017

David R. Gealy*
Affiliation:
U.S. Department of Agriculture Agricultural Research Service, Dale Bumpers National Rice Research Center, 2890 Highway 130 East, Stuttgart, AR 72160
Glenn S. Gealy
Affiliation:
Johns Hopkins University Applied Physics Laboratory, Laurel, MD
*
Corresponding author's E-mail: david.gealy@ars.usda.gov

Abstract

Assessing belowground plant interference in rice has been difficult in the past because intertwined weed and crop roots cannot be readily separated. A 13C discrimination method has been developed to assess distribution of intermixed roots of barnyardgrass and rice in field soils, but the suitability of this approach for other rice weeds is not known. 13C depletion levels in roots and leaves of rice were compared with those of 10 troublesome weed species grown in monoculture in the greenhouse or field. Included were C4 tropical grasses: barnyardgrass, bearded sprangletop, Amazon sprangletop, broadleaf signalgrass, fall panicum, and large crabgrass; C4 sedge, yellow nutsedge; and C3 species: red rice, gooseweed, and redstem. Rice root δ13C levels averaged ∼ −28‰, indicating that these roots are highly 13C-depleted. Root δ13C levels ranged from −12‰ to −17‰ among the tropical grasses, and were −10‰ in yellow nutsedge, indicating that these species were less 13C depleted than rice, and were C4 plants suitable for 13C discrimination studies with rice. Among the C4 species, bearded sprangletop and yellow nutsedge were most and least 13C depleted, respectively. δ13C levels in shoot and root tissue of pot-grown plants averaged 6% greater for C4 plants and 9% greater for rice in the field than in the greenhouse. In pots, shoots of rice typically were slightly more 13C depleted than roots. A reverse trend was seen in most C4 species, particularly for broadleaf signalgrass and plants sampled from field plots. Corrections derived from inputs including the total mass, carbon mass, carbon fraction, and δ13C levels of roots and soil increased greatly the accuracy of root mass estimates and increased slightly the accuracy of root δ13C estimates (∼ 0.6 to 0.9%) in samples containing soil. Similar corrective equations were derived for mixtures of rice and C4 weed roots and soil, and are proposed as a labor-saving option in 13C discrimination root studies.

Type
Special Topics
Copyright
Copyright © Weed Science Society of America 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Literature Cited

Akhter, J., Mahmood, K., Tasneem, M. A., Naqvi, M. H., and Malik, K. A. 2003. Comparative water-use efficiency of Sporobolus arabicus and Leptochloa fusca and its relation with carbon isotope discrimination under semiarid conditions. Plant Soil. 249:263269.Google Scholar
Badeck, F. W., Tcherkez, G., Nogue's, S., Piel, C., and Ghashghaie, J. 2005. Postphotosynthetic fractionation of stable carbon isotopes between plant organs—a widespread phenomenon. Rapid Commun. Mass Spectrom. 19:13811391.Google Scholar
Bollich, C. W., Webb, B. D., Marchetti, M. A., and Scott, J. E. 1985. Registration of ‘Lemont’ rice. Crop Sci. 25:883885.Google Scholar
Boutton, T. W. 1996. Stable carbon isotope ratios of soil organic matter and their use as indicators of vegetation and climate change. Pages 4782 in Boutton, T. W. and Yamasaki, S., eds. Mass Spectrometry of Soils. New York Marcel Dekker.Google Scholar
Clay, D. E., Clay, S. A., Lyon, D. J., and Blumenthal, J. M. 2005. 13C discrimination in corn grain can be used to separate and quantify yield losses due to water and nitrogen stresses. Weed Sci. 53:2329.Google Scholar
Clay, D. E., Engel, R. E., Long, D. S., and Liu, Z. 2001. Using C13 discrimination to characterize N and water responses in spring wheat. Soil Sci. Soc. Am. J. 65:18231828.Google Scholar
Clay, S. A., Clay, D. E., Horvath, D. P., Pullis, J., Carlson, C. G., Hansen, S., and Reicks, G. 2009. Corn response to competition: growth alteration vs. yield limiting factors. Agron. J. 101:15221529.Google Scholar
Comstock, J. P., McCouch, S. R., Martin, B. C., Tauer, C. G., Vision, T. J., Xu, Y., and Pausch, R. 2005. The effects of resource availability and environmental conditions on genetic rankings for carbon isotope discrimination during growth in tomato and rice. Funct. Plant Biol. 32:10891105.Google Scholar
Derner, J. D., Johnson, H. B., Kimball, B. A., et al. 2003. Above- and belowground responses of C3–C4 species mixtures to elevated CO2 and soil water availability. Glob. Change Biol. 9:452460.Google Scholar
Dingkuhn, M., Farquhar, G. D., De Datta, S. K., and O'Toole, J. C. 1991. Discrimination of 13C among upland rices having different water use efficiencies. Aust. J. Ag. Res. 42:11231131.Google Scholar
Ehleringer, J. R. 1991. 13C/12C fractionation and its utility in terrestrial plant studies. Pages 187200 in Coleman, D. C. and Fry, B., eds. Carbon Isotope Techniques. San Diego, CA Academic Press.Google Scholar
Eleki, K., Cruse, R. M., and Albrecht, K. A. 2005. Root segregation of C3 and C4 species using carbon isotope composition. Crop Sci. 45:879882.Google Scholar
Farquhar, G. D., Ehleringer, J. R., and Hubick, K. T. 1989. Carbon isotope discrimination and photosynthesis. Annu. Rev. Plant Physiol. Plant Mol. Biol. 40:503537.Google Scholar
Farquhar, G. D. and Lloyd, L. 1993. Carbon and oxygen isotope effects in the exchange of carbon dioxide between terrestrial plants and the atmosphere. Pages 4770 in Ehleringer, J. R. Hall, A. E., and Farquhar, G. D., eds. Stable Isotopes and Plant Carbon–Water Relations. New York Academic.Google Scholar
Farquhar, G. D., O'Leary, M. H., and Berry, J. A. 1982. On the relationship between carbon isotope discrimination and the intercellular carbon dioxide concentration in leaves. Aust. J. Plant Physiol. 9:121137.Google Scholar
Fischer, A. J., Strong, G. L., Shackel, K., and Mutters, R. G. 2010. Temporary drought can selectively suppress Schoenoplectus mucronatus in rice. Aquat. Bot. 92:257264.Google Scholar
Gealy, D., Ottis, B., Talbert, R., Moldenhauer, K., and Yan, W. 2005. Evaluation and improvement of allelopathic rice germplasm at Stuttgart, Arkansas, USA. Pages 157163 in Proceedings of the 4th World Congress on Allelopathy. Wagga Wagga, NSW, Australia Gosford, NSW, Australia: The Regional Institute Limited.Google Scholar
Gealy, D. R., Agrama, H. A., and Eizenga, G. C. 2009. Exploring genetic and spatial structure of U.S. weedy red rice (Oryza sativa) in relation to rice relatives worldwide. Weed Sci. 57:627643.Google Scholar
Gealy, D. R. and Fischer, A. J. 2010. 13C discrimination: a stable isotope method to quantify root interactions between C3 rice (Oryza sativa) and C4 barnyardgrass (Echinochloa crus-galli) in flooded fields. Weed Sci. 58:359368.Google Scholar
Gealy, D. R., Wailes, E. J., Estorninos, L. E. Jr., and Chavez, R. S. C. 2003. Rice cultivar differences in suppression of barnyardgrass (Echinochloa crus-galli) and economics of reduced propanil rates. Weed Sci. 51:601609.Google Scholar
[GRIN] Germplasm Resources Information Network. 2010. USDA, ARS, National Genetic Resources Program, National Germplasm Resources Laboratory, Beltsville, MD. http://www.ars-grin.gov. Accessed: September 13, 2010.Google Scholar
Giussani, L. M., Cota-Sánchez, J. H., Zuloaga, F. O., and Kellogg, E. A. 2001. A molecular phylogeny of the grass subfamily Panicoideae (Poaceae) shows multiple origins of C4 photosynthesis. Am. J. Bot. 88:19932012.Google Scholar
Impa, S. M., Nadaradjan, S., Boominathan, P., Shashidhar, G., Bindumadhava, H., and Sheshshayee, M. S. 2005. Carbon isotope discrimination accurately reflects variability in WUE measured at a whole plant level in rice. Crop Sci. 45:25172522.Google Scholar
Kim, K-I., Clay, D. E., Carlson, C. G., Clay, S. A., and Trooien, T. 2008. Do synergistic relationships between nitrogen and water influence the ability of corn to use nitrogen derived from fertilizer and soil? Agron. J. 100:551556.Google Scholar
Klumpp, K., Schäufele, R., Lötscher, M., Lattanzi, F. A., Feneis, W., and Schnyder, H. 2005. C-isotope composition of CO2 respired by shoots and roots: fractionation during dark respiration? Plant Cell Environ. 28:241250.Google Scholar
Kondo, M., Pablico, P. P., Aragones, D. V., and Agbisit, R. 2004. Genotypic variations in carbon isotope discrimination, transpiration efficiency, and biomass production in rice as affected by soil water conditions and N. Plant Soil. 267:165177.Google Scholar
Laza, Ma. R., Kondo, M., Ideta, O., Barlaan, E., and Imbe, T. 2006. Identification of quantitative trait loci for δ13C and productivity in irrigated lowland rice. Crop Sci. 46:763773.Google Scholar
Linscombe, S. D., Jodari, F., McKenzie, K. S., Bollich, P. K., White, L. M., Groth, D. E., and Dunnand, R. T. 1993. Registration of ‘Bengal’ rice. Crop Sci. 33:645646.Google Scholar
Londo, J. P. and Schaal, B. A. 2007. Origins and population genetics of weedy red rice in the USA. Mol. Ecol. 16:45234535.Google Scholar
Moldenhauer, K. A. K., Lee, F. N., Bernhardt, J. L., Norman, R. J., Slaton, N. A., Wilson, C. E., Anders, M. M., Cartwright, R. D., and Blocker, M. M. 2007. Registration of ‘Wells’ rice. Crop Sci. 47:442443.Google Scholar
Muasya, A. M., Simpson, D. A., and Chase, M. W. 2002. Phylogenetic relationships in Cyperus L. s.l. (Cyperaceae) inferred from DNA sequence data. Bot. J. Linn. Soc. 138:145153.Google Scholar
O'Leary, M. H. 1993. Biochemical basis of carbon isotope fractionation. Pages 1928 in Ehleringer, J. R. Hall, A. E., and Farquhar, G. D., eds. Stable Isotopes and Plant Carbon–Water Relations. New York Academic.Google Scholar
Pansak, W., Dercon, G., Hilger, T., Kongkaew, T., and Cadisch, G. 2007. 13C isotopic discrimination: a starting point for new insights in competition for nitrogen and water under contour hedgerow systems in tropical mountainous regions. Plant Soil. 298:175189.Google Scholar
Peng, S., Laza, R. C., Khush, G. S., Sanico, A. L., Visperas, R. M., and Garcia, F. V. 1998. Transpiration efficiencies of indica and improved tropical japonica rice grown under irrigated conditions. Euphytica. 103:103108.Google Scholar
Polley, H. W., Johnson, H. B., and Mayeux, H. S. 1992. Determination of root biomasses of three species grown in a mixture using stable isotopes of carbon and nitrogen. Plant Soil. 142:97106.Google Scholar
Rajagopalan, G., Ramesh, R., and Sukumar, R. 1999. Climatic implications of d13C and d18O ratios from C3 and C4 plants growing in a tropical montane habitat in southern India. J. Biosci. 24:491498.Google Scholar
Sage, R. F. 2004. The evolution of C4 photosynthesis. New Phytol. (Tansley review)161:341370.Google Scholar
Scartazza, A., Lauteri, M., Guido, M. C., and Brugnoli, E. 1998. Carbon isotope discrimination in leaf and stem sugars, water-use efficiency and mesophyll conductance during different developmental stages in rice subjected to drought. Aust. J. Plant Physiol. 25:489498.Google Scholar
Scott, R. C., Boyd, J. W., Smith, K. L., Selden, G., and Norsworthy, J. K. 2010. Recommended chemicals for weed and brush control. University of Arkansas Extension and U.S. Department of Agriculture. MP-44. Pp.7891.Google Scholar
Smith, B. N. and Brown, W. V. 1973. The Kranz syndrome in the Gramineae as indicated by carbon isotopic ratios. Am. J. Bot. 60:505513.Google Scholar
Smith, R. J. Jr. 1988. Weed thresholds in southern U.S. rice (Oryza sativa). Weed Technol. 2:232241.Google Scholar
Svejcar, T. J. and Boutton, T. W. 1985. The use of stable carbon isotope analysis in rooting studies. Oecologia. 67:205208.Google Scholar
Svejcar, T. J., Boutton, T. W., and Christiansen, S. 1988. Rooting dynamics of Medicago sativa seedlings growing in association with Bothriochloa caucasica . Oecologia. 77:453–56.Google Scholar
Vaughan, L. K., Ottis, B. V., Prazak-Havey, A. M., Bormans, C. A., Sneller, C., Chandler, J. M., and Park, W. D. 2001. Is all red rice found in commercial rice really Oryza sativa? Weed Sci. 49:468476.Google Scholar
Vogel, J. C. 1980. Fractionation of the carbon isotopes during photosynthesis. Silzungsber Heidelb. Akad. Wiss. 3:111135. [as cited in Akhter et al. 2003.]Google Scholar
Waller, S. S. and Lewis, J. K. 1979. Occurrence of C3 and C4 photosynthetic pathways in North American grasses. J. Range Manage. 32:1228.Google Scholar
Webster, T. M. (Chair) 2008. Weed survey—southern states, grass crops subsection. Proc. South. Weed Sci. Soc. 61:234.Google Scholar
West, J. B., Bowen, G. J., Cerling, T. E., and Ehleringer, J. R. 2006. Stable isotopes as one of nature's ecological recorders. Trends Ecol. Evol. 21, (doi:10.1016/j.tree.2006.04.002).Google Scholar
Xu, Y., This, D., Pausch, R. C., Vonhof, W. M., Coburn, J. R., Comstock, J. P., and McCouch, S. R. 2009. Leaf-level water use efficiency determined by carbon isotope discrimination in rice seedlings: genetic variation associated with population structure and QTL mapping. Theor. Appl. Genet. 118:10651081.Google Scholar
Zhao, B., Kondo, M., Maeda, M., Ozaki, Y., and Zhang, J. 2004. Water-use efficiency and carbon isotope discrimination in two cultivars of upland rice during different developmental stages under three water regimes. Plant Soil. 261:6175.Google Scholar
Supplementary material: File

Gealy and Gealy supplementary material

Appendix 1A

Download Gealy and Gealy supplementary material(File)
File 322 KB
Supplementary material: File

Gealy and Gealy supplementary material

Appendix 2

Download Gealy and Gealy supplementary material(File)
File 73.2 KB