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Geographic differentiation of adaptive phenological traits of barnyardgrass (Echinochloa crus-galli) populations

Published online by Cambridge University Press:  15 February 2021

Zdenka Martinková
Affiliation:
Senior Researcher, Team of Function of Invertebrate and Plant Biodiversity in Agrosystems, Crop Research Institute, Prague, Czech Republic
Alois Honěk*
Affiliation:
Associate Professor, Team of Function of Invertebrate and Plant Biodiversity in Agrosystems, Crop Research Institute, Prague, Czech Republic
Stano Pekár
Affiliation:
Professor, Department of Botany and Zoology, Faculty of Science, Masaryk University, Brno, Czech Republic
Leona Leišova-Svobodová
Affiliation:
Senior Researcher, Team of Molecular Genetics, Crop Research Institute, Prague, Czech Republic
*
Author for correspondence: Alois Honěk, Crop Research Institute, Drnovská 507, 16106 Prague 6–Ruzyně, Czech Republic. Email: [email protected]

Abstract

In central Europe, barnyardgrass [Echinochloa crus-galli (L.) P. Beauv.], has commonly been found in humid lowland areas. As a result of the introduction of new crops and farming practices, in the northwest Carpathians, E. crus-galli has spread from lowland (<200 m altitude) to highland (>400 m altitude) areas. We collected seed samples from local populations lying at a distance of approximately 5 km from each other and lined up along transects following the flows of two rivers. The rivers first flow through the valleys separated by mountain ridges and eventually flow into a common lowland. After ripening, the seeds of all populations were germinated at 25 C under long-day conditions. Only the seeds of some lowland populations germinated up to 75%. The frequency of germinated seeds decreased as the altitude where the population was collected increased, and above 200 m above sea level, germination was mostly zero. We then studied the phenological and morphological differentiation of plants from the original (lowland) and recently occupied (highland) areas. Seeds of the lowest and the highest localities lying on the transect of each river were sown in a common garden experiment. In plants from the highland localities, heading and seed dispersal were earlier, while tiller height and tiller mass were lower than in plants from the lowland localities. Seed mass produced per tiller in the lowland and highland plants was similar, and as a result, highland plants allocated a larger proportion of body mass to seed production than did lowland plants. Echinochloa crus-galli populations from highland localities thus produce their progeny earlier and at a lower energy cost than populations from lowland localities. The plasticity of phenological characters likely facilitated adaptation during E. crus-galli spread from lowlands to highlands. Similar adaptations in plant phenology may contribute to the spread of E. crus-galli in other geographic areas.

Type
Research Article
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of the Weed Science Society of America

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Footnotes

Associate Editor: Debalin Sarangi, University of Minnesota

References

Altop, EK, Mennan, H (2011) Genetic and morphologic diversity of Echinochloa crus-galli populations from different origins. Phytoparasitica 39:93102 CrossRefGoogle Scholar
Anonymous (1974) Some Pests and Diseases of Cultivated Plants Occurring in Czechoslovakia in 1973. Bratislava, Brno: Ustredni kontrolni a zkusebni ustav zemedelsky. 220 pGoogle Scholar
Anonymous (1975) Some Pests and Diseases of Cultivated Plants Occurring in Czechoslovakia in 1974. Bratislava, Brno: Ustredni kontrolni a zkusebni ustav zemedelsky. 236 pGoogle Scholar
Bajwa, AA, Jabran, K, Shahid, M, Ali, HH, Chauhan, BS, Ehsanullah, (2015) Eco-biology and management of Echinochloa crus-galli. Crop Prot 75:151162 CrossRefGoogle Scholar
Barrett, SCH (1982) Genetic variation in weeds. Pages 73–98 in Charudattan R, Walker H, eds. Biological Control of Weeds with Plant Pathogens. New York: Wiley Google Scholar
Barrett, SCH, Wilson, BF (1981) Colonizing ability in the Echinochloa crus-galli complex (barnyardgrass). I. Variation in life history. Can J Bot 59:18441860 CrossRefGoogle Scholar
Barrett, SCH, Wilson, BF (1983) Colonizing ability in the Echinochloa crus-galli complex (barnyard grass). II. Seed biology. Can J Bot 61:556562 CrossRefGoogle Scholar
Bonan, G (2002) Ecological Climatology. Cambridge: Cambridge University Press. 678 p Google Scholar
Brod, G (1968) Untersuchungen zur Biologie und Ökologie der Hühner-hirse Echinochloa crus-galli L. Beauv. Weed Res 8:115127 CrossRefGoogle Scholar
Clements, DR, DiTommaso, A, Jordan, N, Booth, BD, Cardina, J, Doohan, D, Mohler, CL, Murphy, SD, Swanton, CJ (2004) Adaptability of plants invading North American cropland. Agric Ecosyst Environ 104:379398 CrossRefGoogle Scholar
Dinola, L, Taylorson, RB (1989) Brief high-temperature exposure to release dormancy affects soluble and membrane-bound protein composition in Echinochloa crus-galli (L.) Beauv seeds. J Plant Physiol 135:117121 CrossRefGoogle Scholar
Fischer, AJ, Dawson, JH, Appleby, AP (1988) Interference of annual weeds in seedling alfalfa (Medicago sativa). Weed Sci 36:583588 CrossRefGoogle Scholar
Hejný, S (1957) Eine Studie über die Ökologie der Echinochloa-Arten (Echinochloa crus-galli (L.) P. Beauv und Echinochloa coarctata (Stev.) Koss.). Biologické Práce, Bratislava 3:1114 Google Scholar
Hejný, S (1960) Ökologische Charakteristik der Wasser und Sumpfpflanzen in den Slowakischen Tiefebenen (Donau- und Theissgebiet). Bratislava: Vydavatelstvo Slovenskej Akademie Vied. 487 pGoogle Scholar
Holm, L, Doll, J, Holm, E, Pancho, J, Herberger, J (1997) World Weeds: Natural Histories and Distribution. New York: Wiley. 1152 p Google Scholar
Honěk, A, Martinková, Z (1991) Competition between maize and barnyard grass Echinochloa crus-galli, and its effect on aphids and their predators. Acta Oecol Appl 12:741751 Google Scholar
Honěk, A, Martinková, Z (1996) Geographic variation in seed dormancy among populations of Echinochloa crus-galli . Oecologia 108:419423 CrossRefGoogle ScholarPubMed
Honěk, A, Martinková, Z, Jarošík, V (1999) Annual cycles of germinability and differences between primary and secondary dormancy in buried seeds of Echinochloa crus-galli . Weed Res 39:6979 CrossRefGoogle Scholar
Kaya, HB, Demirci, M, Tanyolac, B (2014) Genetic structure and diversity analysis revealed by AFLP on different Echinochloa spp. from northwest Turkey. Plant Syst Evol 300:13371347 CrossRefGoogle Scholar
Kingsolver, JG, Pfennig, DW (2007) Patterns and power of phenotypic selection in nature. BioScience 57:561572.CrossRefGoogle Scholar
Li, SZ (1962) Ecological study of cockspur-grass (Echinochloa crus-galli (L.) var. longisetum Döll). Roczniki Nauk Rolniczych 86A:120 Google Scholar
Martinková, Z, Honěk, A (1992) Effect of plant size on the number of caryopses in barnyard grass, Echinochloa crus-galli (Poaceae). Preslia 64:171176 Google Scholar
Martinková, Z, Honěk, A (1993) The effects of sowing depth and date on emergence and growth of barnyard grass, Echinochloa crus-galli . Ochrana Rostlin 29:251257 Google Scholar
Martinková, Z, Honěk, A (2010) Effect of desiccation temperature on viability of immature dandelion (Taraxacum agg.) seeds dried in mowed inflorescences. Plant Soil Environ 56:580583 CrossRefGoogle Scholar
Martinková, Z, Honěk, A (2011) Asymmetrical intraspecific competition in Echinochloa crus-galli is related to differences in the timing of seedling emergence and seedling vigour. Plant Ecol 212:18311839 CrossRefGoogle Scholar
Matějka, K (2019) Vývoj teplot a srážek v ČR od roku 1961 [Changes of temperatures and precipitations in the Czech Republic since 1961]. http://www.infodatasys.cz/climate/KlimaCR1961.htm. Accessed: August 9, 2020Google Scholar
Maun, MA, Barrett, SCH (1986) The biology of Canadian weeds. 77. Echinochloa crus-galli (L.) Beauv. Can J Plant Sci 66:739759 Google Scholar
Moran, EV, Alexander, JM (2014) Evolutionary responses to global change: lessons from invasive species. Ecol Lett 17:637639 CrossRefGoogle ScholarPubMed
Neuffer, B, Bernhardt, KG, Hurka, H, Kropf, M (2011) Monitoring population and gene pool dynamics of the annual species Capsella bursa-pastoris (Brassicaceae): a review of relevant species traits and the initiation of a long-term genetic monitoring programme. Biodivers Conserv 20:309–32CrossRefGoogle Scholar
Norris, RF (1996) Morphological and phenological variation in barnyardgrass (Echinochloa crus-galli) in California. Weed Sci 44:804814 CrossRefGoogle Scholar
Norris, RF, Elmore, CL, Rejmánek, M, Akey, WC (2001) Spatial arrangement, density, and competition between barnyardgrass and tomato: II. Barnyardgrass growth and seed production. Weed Sci 49:6976 CrossRefGoogle Scholar
Pekár, S, Brabec, M (2016) Marginal models via GLS: a convenient yet neglected tool for analysis of correlated data in behavioural sciences. Ethology 122:621631 CrossRefGoogle Scholar
Pinheiro, J, Bates, D, DebRoy, S, Sarkar, D, R Core Team (2019) nlme: Linear and Nonlinear Mixed Effects Models. R Package v. 3.1-140. https://CRAN.R-project.org/package=nlme. Accessed: July 10, 2020Google Scholar
Pyšek, P, Sádlo, J, Mandák, B (2002) Catalogue of alien plants of the Czech Republic. Preslia 74:97186 Google Scholar
R Core Team (2019). R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org. Accessed: July 10, 2020Google Scholar
Sultan, SE (1987) Evolutionary implications of phenotypic plasticity in plants. Evol Biol 21:127178 CrossRefGoogle Scholar
Taylorson, RB, Brown, MM (1977) Accelerated after-ripening for overcoming seed dormancy in grass weeds. Weed Sci 25:473476 CrossRefGoogle Scholar
Vesecký, A, Petrovič, S, Briedoň, V, Kárský, V, eds (1958). Atlas Podnebi Ceskoslovenske Republiky [Atlas of climate of Czechoslovakia]. Praha, Czechoslovakia: Ústřední Správa Geodezie a Kartografie. 7 p + 100 mapsGoogle Scholar
Wood, SN (2017) Generalized Additive Models: An Introduction with R. 2nd ed. Boca Raton, FL: Chapman and Hall/CRC Press. 392 p CrossRefGoogle Scholar