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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 ,
Javid Gherekhloo ,
Ribas A. Vidal  and
Rafael De Prado
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: derakhshan.abo@gmail.com
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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.

Keywords

Littleseed canarygrass, Phalaris minor RetzCardinal temperaturesgermination ratemodelingtemperature functionthermal time
Type
Weed Biology and Ecology
Information
Weed Science , Volume 62 , Issue 2 , June 2014 , pp. 250 - 257
Copyright
Copyright © Weed Science Society of America 

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References

Literature Cited

Alvarado, V, Bradford, KJ (2002) A hydrothermal time model explains the cardinal temperatures for seed germination. Plant Cell Environ. 25:1061–1069 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. 50:248–260 Google Scholar
Derakhshan, A, Gherekhloo, J (2013) Factors affecting Cyperus difformis seed germination and seedling emergence. Planta Daninha. 31:823–832 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. 33:288–296 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. 222:626–636 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. 28:463–469 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. 53:76–87 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. 124:207–218 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. 63:274–281 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. 25:529–534 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. 36:1606–1614 Google Scholar
Ritchie, JT, NeSmith, DS (1991) Modeling plant and soil systems. Pages 5–31 in Hanks, RJ, Ritchie, JT, ed. Temperature and Crop Development. Madison, WI Google Scholar
Roberts, EH (1988) Temperature and seed germination. Pages 109–132 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 41–42 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. 18:1–16 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. 138:156–167 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. 31:39–51 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. 25:309–315 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. 77:1–16 Google Scholar