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Influence of soil water content on growth and panicle production of fall panicum (Panicum dichotomiflorum)

Published online by Cambridge University Press:  26 September 2022

Venkatanaga Shiva Datta Kumar Sharma Chiruvelli Open the ORCID record for Venkatanaga Shiva Datta Kumar Sharma Chiruvelli [Opens in a new window] ,
Hardev S. Sandhu Open the ORCID record for Hardev S. Sandhu [Opens in a new window] ,
Ron Cherry Open the ORCID record for Ron Cherry [Opens in a new window]  and
D. Calvin Odero Open the ORCID record for D. Calvin Odero [Opens in a new window]
Venkatanaga Shiva Datta Kumar Sharma Chiruvelli
Affiliation:
Graduate Student, University of Florida, Everglades Research and Education Center, Belle Glade, FL, USA
Hardev S. Sandhu
Affiliation:
Associate Professor, University of Florida, Everglades Research and Education Center, Belle Glade, FL, USA
Ron Cherry
Affiliation:
Professor, University of Florida, Everglades Research and Education Center, Belle Glade, FL, USA
D. Calvin Odero*
Affiliation:
Associate Professor, University of Florida, Everglades Research and Education Center, Belle Glade, FL, USA
*
Author for correspondence: D. Calvin Odero, Associate Professor, University of Florida, Everglades Research and Education Center, University of Florida, 3200 E Palm Beach Road, University of Florida, Everglades Research and Education Center, Belle Glade, FL, USA Belle Glade, FL 33430. Email: [email protected]
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Abstract

Fall panicum is a problematic weed in cropping systems including rice in southern Florida. There is limited information on growth and reproductive ability of fall panicum in water-stressed environments. The objective of this study was to determine the effect of 12.5%, 25%, 50%, 75%, and 100% pot soil water content (SWC) levels on fall panicum growth and panicle branch production under greenhouse conditions. Fall panicum height, number of leaves, and tillers decreased over time as SWC decreased. Fall panicum height decreased by 65% and 50% at 12.5% and 25% SWC, respectively, relative to height achieved at 100% SWC. Plants at 50% to 100% SWC were able to achieve 50% tiller production within 31 to 43 d compared with 28 d at 25% SWC. The 50% tiller production was not reached at 12.5% SWC during the duration of the study. Fall panicum shoot and root biomass, total leaf area, and number of panicle branches per plant at 56 d after SWC treatment initiation decreased as SWC decreased. Fall panicum biomass decreased 83% to 85% and 66% to 68% at 12.5% and 25% SWC, respectively, relative to 100% SWC. Leaf area declined 79% and 65% at 12.5% and 25% SWC levels, respectively, compared to the 100% SWC. Fall panicum was able to produce panicles at all SWC levels, although the plant produced significantly fewer panicle branches as SWC decreased. Plants at 12.5% and 25% SWC produced 82% and 59% fewer panicle branches, respectively, compared with plants at 100% SWC. This study shows that SWC influences the growth and reproductive capacity of fall panicum. Although fall panicum did not reach its full growth potential at low SWC levels, it was able to survive and develop panicles, showing its ability to adapt and reproduce under dry conditions.

Keywords

Fall panicumPanicum dichotomiflorum Michx.PANDIriceOryza sativa L.Panicle productionreproductive capacityroot biomassshoot biomasswater stressweed control
Type
Research Article
Information
Weed Technology , Volume 36 , Issue 5 , October 2022 , pp. 678 - 684
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Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of the Weed Science Society of America

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Footnotes

Associate Editor: Charles Geddes, Agriculture and Agri-Food Canada

References

Ahmadi, MS, Haderlie, LC, Wicks, GA (1980) Effect of growth stage and water stress on barnyardgrass (Echinochloa crus-galli) control and on glyphosate absorption and translocation. Weed Sci 28:277–282 CrossRefGoogle Scholar
Akinci, S, Lösel, DM (2011) Plant water-stress response mechanisms. Pages 15–42 in Rahman, IMM, Hasegawa, H, eds. Water Stress. Rijeka, Croatia: InTech Google Scholar
Alex, JF (1980) Emergence from buried seed and germination of exhumed seed of fall panicum. Can J Plant Sci 60:635–642 CrossRefGoogle Scholar
AL-Tam, F, Adam, H, Anjos Ad, Lorieux M, Larmande, P, Ghesquière, A, Jouannic, S, Shahbazkia, HR (2013) P-TRAP: a panicle trait morphology tool. BMC Plant Biol 13:122. doi: 10.1186/1471-2229-13-122 CrossRefGoogle Scholar
Alvarez, J, Snyder, GH (1984) Effect of prior rice culture on sugarcane yields in Florida. Field Crops Res 9:315–321 CrossRefGoogle Scholar
Alves, AAC, Setter, TL (2004) Response of cassava leaf area expansion to water deficit: cell proliferation, cell expansion and delayed development. Ann Bot 94:605–613 CrossRefGoogle ScholarPubMed
Bates, D, Maechler, M, Bolker, B, Walker, S (2021) Lme4: Linear Mixed-Effects Models using ‘Eigen’ and S4. R package, version 1.1-27.1. https://cran.r-project.org/web/packages/lme4/. Accessed: September 15, 2021Google Scholar
Bhadha, JH, Trotta, L, VanWeelden, M (2019) Trends in Rice Production and Varieties in the Everglades Agricultural Area. Gainesville, FL: Institute of Food and Agricultural Sciences, Florida Cooperative Extension, University of Florida, Electronic Data Information Sources SL439Google Scholar
Bryson, CT, DeFelice, MS (2009) Weeds of the South. Athens, GA: University of Georgia Press. 468 pGoogle Scholar
Buhler, DD, Hartzler, RG, Forcella, F (1997) Implications of weed seedbank dynamics to weed management. Weed Sci 45:329–336 CrossRefGoogle Scholar
Burnside, OC, Fenster, CR, Evetts, LL, Mumm, RF (1981) Germination of exhumed weed seed in Nebraska. Weed Sci 29:577–586 CrossRefGoogle Scholar
Chadha, A, Florentine, SK, Chauhan, BS, Long, B, Jayasundera, M (2019) Influence of soil moisture regimes on growth, photosynthetic capacity, leaf biochemistry and reproductive capabilities of the invasive agronomic weeds; Lactuca serriola . PLoS One 14: e0218191 CrossRefGoogle ScholarPubMed
Chauhan, BS (2013) Growth response of itchgrass (Rottboellia cochinchinensis) to water stress. Weed Sci 61:98–103 CrossRefGoogle Scholar
Chauhan, BS, Abugho, SB (2013) Effect of water stress on the growth and development of Amaranthus spinosus, Leptochloa chinensis, and rice. Am J Plant Sci 4:989–998 CrossRefGoogle Scholar
Chauhan, BS, Johnson, DE (2010) Growth and reproduction of junglerice (Echinochloa colona) in response to water stress. Weed Sci 58:132–135 CrossRefGoogle Scholar
Cherry, R, Bennett, A (2005) Effects of weeds on rice stink bug (Hemiptera: Pentatomidae) populations in Florida rice. J Entomol Sci 40:378–384 CrossRefGoogle Scholar
Cherry, R, Odero, C (2021) Weeds in Florida sugarcane as host plants for three species of rice stink bugs (Hemiptera: Pentatomidae). J Entomol Sci 56:101–105 CrossRefGoogle Scholar
Daroub, SH, Horn, SV, Lang, TA, Diaz, OA (2011) Best management practices and long-term water quality trends in the Everglades Agricultural Area. Crit Rev Environ 41:608–632 CrossRefGoogle Scholar
Dickson, RL, Andrews, M, Field, RJ, Dickson, EL (1990) Effect of water stress, nitrogen, and gibberellic acid on fluazifop and glyphosate activity on oats (Avena sativa). Weed Sci 38:54–61 CrossRefGoogle Scholar
Farooq, M, Wahid, A, Kobayashi, N, Fujitha, D, Basra, SMA (2009) Plant drought stress: effects, mechanisms and management. Agron Sustain Dev 29:185–212 CrossRefGoogle Scholar
Fernandez, JV, Odero, DC, MacDonald, GE, Ferrell, JA, Sellers, BA, Wilson, PC (2019) Field dissipation of S-metolachlor in organic and mineral soils used for sugarcane production in Florida. Weed Technol 34:362–370 CrossRefGoogle Scholar
Fernandez-Quinantilla, C, Andujar, JG, Appleby, A (1990) Characterization of the germination and emergence response to temperature and soil moisture of Avena fatua and A. sterilis . Weed Res 30:289–295 CrossRefGoogle Scholar
Geddes, RD, Scott, HD, Oliver, LR (1979) Growth and water use by common cocklebur (Xanthium pensylvanicum) and soybeans (Glycine max) under field conditions. Weed Sci 27:206–212 CrossRefGoogle Scholar
Govinthasamy, K, Cavers, PB (1995) The effects of smut (Ustilago destruens) on seed production, dormancy and viability in fall panicum (Panicum dichotomiflorum). Can J Botany 73:1628–1634 CrossRefGoogle Scholar
Ings, J, Mur, LAJ, Robson, PR, Bosch, M (2013) Physiological and growth responses to water deficit in the bioenergy crop Miscanthus ´ giganteus . Front Plant Sci 4:468, doi.org/10.3389/fpls.2013.00468 CrossRefGoogle Scholar
Kramer, PJ (1980) Drought, stress, and the origin of adaptations. Pages 7–20 in Turner, NC, Kramer, PJ, eds. Adaptation of Plants to Water and High Temperature Stress. New York: J. Wiley Google Scholar
Lang, TA, Oladeji, O, Josan, MS, Daroub, SH (2010) Environmental and management factors that influence drainage water P loads from Everglades Agricultural Area farms of South Florida. Agri Ecosyst Environ 138:170–180 CrossRefGoogle Scholar
Lenth, R (2021) emmeans: Estimated marginal means, aka least-squares means. R package, version 1.6.1. https://cran.r-project.org/web/packages/emmeans/. Accessed: September 15, 2021Google Scholar
Mahajan, G, George-Jaeggli, B, Walsh, M, Chauhan, BS (2018) Effect of soil moisture regimes on growth and seed production of two Australian biotypes of Sisymbrium thellungii O.E. Schulz. Front Plant Sci 9:1241. doi: 10.3389/fpls.2018.01241 CrossRefGoogle ScholarPubMed
Negrisoli, PM (2019) Sugarcane response and fall panicum (Panicum dichotomiflorum Michx.) control with topramezone. MS thesis. Gainesville, FL: University of Florida. 70 pCrossRefGoogle Scholar
Odero, DC, Sellers, B (2022) Fall Panicum Biology and Control in Sugarcane. Gainesville, FL: Institute of Food and Agricultural Sciences, Florida Cooperative Extension, University of Florida, Electronic Data Information Sources SS-AGR-132CrossRefGoogle Scholar
Odero, DC, VanWeelden, M (2018) Weed Management in Rice. Gainesville, FL: Institute of Food and Agricultural Sciences, Florida Cooperative Extension, University of Florida, Electronic Data Information Sources SS-AGR-10Google Scholar
Ohsugi, R, Murata, T (1986) Variations in the leaf anatomy among C4 Panicum species. Ann Bot 58:443–453 CrossRefGoogle Scholar
Patterson, DT (1985) Comparative ecophysiology of weeds and crops. Pages 101–129 in Duke, SO, ed. Weed Physiology. Vol. 2, Herbicide Physiology. Boca Raton, FL: CRC Press Google Scholar
Patterson, DT (1995) Effects of environmental stresses on weed/crop interactions. Weed Sci 43:483–490 CrossRefGoogle Scholar
Patterson, DT (1986) Responses of soybean (Glycine max) and three C4 grass weeds to CO2 enrichment during drought. Weed Sci 34:203–210 CrossRefGoogle Scholar
Patterson, DT, Flint, EP (1983) Comparative water relations, photosynthesis, and growth of soybean (Glycine max) and seven associated weeds. Weed Sci 31:318–323 CrossRefGoogle Scholar
Pinheiro, J, Bates, D, DebRoy, S, Sarkar, D, R Core Team (2021) nlme: Linear and Nonlinear Mixed Effects Model. R package version 3.1–53. https://cran.r-project.org/web/packages/nlme/index.html. Accessed: September 15, 2021Google Scholar
Pugnaire, FI, Serrano, L, Pardos, J (1999) Constraints by water stress on plant growth. Pages 271–283 in Pessarakli, M, ed. Handbook of Plant and Crop Stress. New York: Marcel Dekker, Inc.Google Scholar
R Core Team (2021) R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing. https://www.R-project.org/. Accessed: September 15, 2021Google Scholar
Ritz, C, Streibig, JC (2005) Bioassay analysis using R. J Stat Softw 12:1–22 CrossRefGoogle Scholar
Ritz, C, Streibig, JC (2016) drc: Analysis of Dose–Response Curves. R package version 3.0-1. https://cran.r-project.org/web/packages/drc/index.html. Accessed: September 15, 2021Google Scholar
Sachs, R (1965) Stem elongation. Annu Rev Plant Physiol 16:73–96 CrossRefGoogle Scholar
Sahil, Mahajan G, Loura, D, Raymont, K, Chauhan, BS (2020) Influence of soil moisture levels on the growth and reproductive behavior of Avena fatua and Avena ludoviciana . PLoS One 15: e0234648 CrossRefGoogle ScholarPubMed
Sarangi, D, Irmak, S, Lindquist, JL, Knezevic, SZ, Jhala, AJ (2015) Effect of water stress on the growth and fecundity of common waterhemp (Amaranthus rudis). Weed Sci 64:42–52 CrossRefGoogle Scholar
Schueneman, T, Rainbolt, C, Gilbert, R (2008) Rice in Crop Rotation. Gainesville, FL: Institute of Food and Agricultural Sciences, Florida Cooperative Extension, University of Florida, Electronic Data Information Sources SS-AGR-23Google Scholar
Scott, HD, Geddes, RD (1979) Plant water stress of soybean (Glycine max) and common cocklebur (Xanthium pensylvanicum): a comparison under field conditions. Weed Sci 27:285–289 CrossRefGoogle Scholar
Spiess, AN (2018) qpcR: Modelling and Analysis of Real-Time PCR Data. https://cran.r-project.org/web/packages/qpcR/index.html. Accessed: September 16, 2021Google Scholar
Steadman, KJ, Ellery, AJ, Chapman, R, Moore, A, Turner, NC (2004) Maturation temperature and rainfall influence seed dormancy characteristics of annual ryegrass (Lolium rigidum). Aust J Agric Res 55:1047–1057 CrossRefGoogle Scholar
Stuart, BL, Harrison, SK, Abernathy, JR, Krieg, DR, Wendt, CW (1984) The response of cotton (Gossypium hirsutum) water relations to smooth pigweed (Amaranthus hybridus) competition. Weed Sci 32:126–132 CrossRefGoogle Scholar
Tátrai, ZA, Sanoubar, R, Pluhár, Z, Mancarella, S, Orsini, F, Gianquinto, G (2016) Morphological and physiological plant response in Thymus citriodorus. Int J Agron Article ID 4165750. https://doi.org/10.1155/2016/4165750 CrossRefGoogle Scholar
Vengris, J, Damon, RA, Jr (1976) Field growth of fall panicum and witchgrass. Weed Sci 24:205–208 CrossRefGoogle Scholar
Wang, X, Taub, DR (2010) Interactive effects of elevated carbon dioxide and environmental stresses on root mass fraction in plants: a meta-analytical synthesis using pairwise techniques. Oecol 163:1–11 CrossRefGoogle ScholarPubMed
Webster, TM, Grey, TL (2008) Growth and reproduction of Bengal dayflower (Commelina benghalensis) in response to drought stress. Weed Sci 56:561–566 CrossRefGoogle Scholar
Wisler, GC, Norris, RF (2005) Interaction between weeds and cultivated plants as related to management of plant pathogens. Weed Sci 53:914–917 CrossRefGoogle Scholar
Yadav, VK, Thrimurty, VS (2006) Weeds as alternate host for Sarocladium oryzae. Ann Plant Protect Sci 14:514–515 Google Scholar
Zimdahl, RL (2004) Weed–Crop Competition: A Review. 2nd edn. San Diego, CA: Blackwell Publishing. 195 pCrossRefGoogle Scholar