Hostname: page-component-586b7cd67f-g8jcs Total loading time: 0 Render date: 2024-11-22T10:29:48.328Z Has data issue: false hasContentIssue false

Quantitative Description of the Germination of Littleseed Canarygrass (Phalaris minor) in Response to Temperature

Published online by Cambridge University Press:  20 January 2017

Abolfazl Derakhshan*
Affiliation:
Department of Plant Production, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran
Javid Gherekhloo
Affiliation:
Department of Plant Production, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran
Ribas A. Vidal
Affiliation:
Federal University at Rio Grande do Sul, Porto Alegre, Brazil
Rafael De Prado
Affiliation:
University of Cordoba, Cordoba, Spain
*
Corresponding author's E-mail: [email protected]

Abstract

Littleseed canarygrass is a troublesome grass weed in wheat fields in Iran. Predicting weed emergence dynamics can help farmers more effectively control weeds. In this work, four nonlinear regression models (beta, three-piece segmented, two-piece segmented, and modified Malo's exponential sine) were compared to describe the cardinal temperatures for the germination of littleseed canarygrass. Two replicated experiments were performed with the same temperatures. An iterative optimization method was used to calibrate the models and different statistical indices (mean absolute error [MAE], coefficient of determination [R2], intercept and slope of the regression equation of predicted vs. observed hours to germination) were applied to compare their performance. The three-piece segmented model was the best model to predict the germination rate (R2 = 0.99, MAE = 0.20 d, and coefficient of variation 1.01 to 4.06%). Based on the model outputs, the base, the lower optimum, the upper optimum, and the maximum temperatures for the germination of littleseed canarygrass were estimated to be 4.69, 22.60, 29.62, and 38.13 C, respectively. The thermal time required to reach 10, 50, and 90% germination was 31.98, 39.26 and 45.55 degree-days, respectively. The cardinal temperatures depended on the model used for their estimation. Overall, the three-piece segmented model was better suited than the other models to estimate the cardinal temperatures for the germination of littleseed canarygrass.

Type
Weed Biology and Ecology
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

Alvarado, V, Bradford, KJ (2002) A hydrothermal time model explains the cardinal temperatures for seed germination. Plant Cell Environ. 25:10611069 Google Scholar
Bewley, JD, Black, M (1994) Seeds: Physiology of Development and Germination. New York Plenum Press. 445 pGoogle Scholar
Bradford, KJ (2002) Applications of hydrothermal time to quantifying and modeling seed germination and dormancy. Weed Sci. 50:248260 Google Scholar
Derakhshan, A, Gherekhloo, J (2013) Factors affecting Cyperus difformis seed germination and seedling emergence. Planta Daninha. 31:823832 Google Scholar
Garcia-Huidobro, J, Monteith, JL, Square, GR (1982) Time, temperature and germination of pearl millet (Pennisetum thyphoides). I. Constant temperature. J Exp Bot. 33:288296 Google Scholar
Gardarin, A, Dürr, C, Colbach, N (2011) Prediction of germination rates of weed species: relationships between germination speed parameters and species traits. Ecol Model. 222:626636 Google Scholar
Ghaderi-Far, F, Gherekhloo, J, Alimagham, M (2010) Influence of environmental factors on seed germination and seedling emergence of yellow sweet clover (Melilotus officinalis). Planta Daninha. 28:463469 Google Scholar
Guillemin, JP, Gardarin, A, Granger, S, Reibel, C, Munier-Jolain, N, Colbach, N (2012) Assessing potential germination period of weeds with base temperatures and base water potentials. Weed Res. 53:7687 Google Scholar
Jame, YW, Cutforth, HW (2004) Simulating the effects of temperature and seeding depth on germination and emergence of spring wheat. Agric Forest Meteorol. 124:207218 Google Scholar
Li, L, McMaster, GS, Yu, Q, Du, J (2008) Simulating winter wheat development response to temperature: modifying Malo's exponential sine equation. Comput Electron Agric. 63:274281 Google Scholar
Mehra, SP, Gill, HS (1988) Effect of temperature on germination of Phalaris minor Retz. and its competition in wheat. J Res Punjab Agric Univ. 25:529534 Google Scholar
Piper, EL, Boote, KJ, Jones, JW, Grimm, SS (1996) Comparison of two phenology models for predicting flowering and maturity date of soybean. Crop Sci. 36:16061614 Google Scholar
Ritchie, JT, NeSmith, DS (1991) Modeling plant and soil systems. Pages 531 in Hanks, RJ, Ritchie, JT, ed. Temperature and Crop Development. Madison, WI Google Scholar
Roberts, EH (1988) Temperature and seed germination. Pages 109132 in Long, SP, Woodward, FF, ed. Plants and Temperature. Cambridge, UK Company of Biologists Google Scholar
Singh, RD, Ghosh, AK (1982) Soil profile distribution and effect of temperature and soil depth on germination of Phalaris minor Retz. Pages 4142 in Proceedings of the 1982 Annual Conference of the Indian Society of Weed Science, Hisar. Google Scholar
Singh, S, Kirkwood, RC, Marshall, G (1999) Biology and control of Phalaris minor Retz. (littleseed canarygrass) in wheat. Crop Prot. 18:116 Google Scholar
Soltani, A, Robertson, MJ, Torabi, B, Yousefi-Daz, M, Sarparast, R (2006) Modeling seedling emergence in chickpea as influenced by temperature and sowing depth. Agric Forest Meteorol. 138:156167 Google Scholar
Tanveer, A, Tasneem, M, Khaliq, A, Javaid, MM, Chaudhry, MN (2013) Influence of seed size and ecological factors on the germination and emergence of field bindweed (Convolvulus arvensis). Planta Daninha. 31:3951 Google Scholar
Vidal, RA, Kalsing, A, Goulart, ICGR, Lamego, FP, Christoffoleti, PJ (2007) Impacto da temperatura, irradiância e profundidade das sementes na emergência e germinação de Conyza bonariensis e Conyza canadensis resistentes ao glyphosate. Planta Daninha. 25:309315 Google Scholar
Yin, X, Kropff, MJ, McLaren, G, Visperas, RM (1995) A nonlinear model for crop development as a function of temperature. Agric Forest Meteorol. 77:116 Google Scholar