Investigation of seedling emergence of bean and maize affected by sowing depth with using probit models
Subject Areas : Journal of Plant EcophysiologyBehnam Behtari 1 , Adel Dabbagh mohammadi nasab 2 , Kazem Ghassemi Golezani 3 , Mohammad reza Shakiba 4
1 - Ph.D. student of Crop Ecology, Faculty of Agriculture, University of Tabriz , East Azerbijan, Iran.
2 - Dept of Ecophysiology, Faculty of Agriculture, University of Tabriz, Tabriz, Iran
3 - Dept of Ecophysiology, Faculty of Agriculture, University of Tabriz, Tabriz, Iran.
4 - Dept of Ecophysiology, Faculty of Agriculture, University of Tabriz, Tabriz, Iran.
Keywords: Modeling, Emergence indices, Probit curves, Seedling mortality,
Abstract :
Seedling emergence probably is the single most important phenological event that influences the success of an annual plant. The main objective of this study was to develop a seedling emergence model for green bean and maize and select a best-fitted model associated with sowing depth. A factorial experiment based on completely randomized design was conducted in 2015 at Research Farm of Mohaghegh Ardabili University, to quantify the response of seedling emergence to sowing depth. Treatments were four sowing depths (2, 4, 6 and 8 cm) in three replications. The results indicated that the percentage emergences of both species in the first two levels of sowing depth (2 and 4 cm) were high, but at deeper levels, seedling emergence were suffering a severe loss. Emergence indicators (MED, ERI, D50%) showed that seedling emergence of bean was greater than maize. For two species, an increase in pre-emergence mortality with increasing depth was observed. So that the highest germinated seeds mortality occurred at 8 cm depth. However, in probit fitted curves for each dataset, the rates of increasing between plants varied. The rate of emergence varied between plants and based on values of statistical criteria, because of less parameters number in linear probit model, it was showed suitable to fit model. Therefore, these models may provide a better basis for broad practical application in crop management.
بهتری، ب. 1390. آللوپاتی در کشاورزی پایدار و جنگلداری (ترجمه). انتشارات موردی. 386 صفحه.
بهتری، ب. ذ. نعمتی، ح. حسن پور و ج. رضاپور فرد. 1389. مدلسازی سبز و رشد نهالبذرهای لوبیا سبز، آفتابگردان و ذرت با استفاده از برخی مدلهای غیر خطی. مجله دانش کشاورزی پایدار. دورهی 20، شماره 2، ص140-129.
Bilbro, J.D. and D.F. Wanjura, 1982. Soil crust and cotton emergence relationship. Trans. ASAE, 25: 1485–1488.
Benvenuti, S. and M. Macchia. 1995. Effect of hypoxia on buried weed seed germination. Weed Res. 35: 343-351.
Bush, J.K. and O.W. Van Auken. 1991. Growth and survival of Prosopis glandulosa seedlings associated with shade and herbaceous competition. Bot. Gazette. 151: 234–239.
Crawley, M.J. 2000. Seed predators and plant population dynamics. pp. 167–182. In: Fenner M (eds) Seeds: The Ecology of Regeneration in Plant Communities. CABI Publishing, Wallingford, UK.
Cussans, G.W., S.Raudonius, P. Brain, and S. Cumberworth. 1996. Effects of depth of seed burial and soil aggregate size on seedling emergence of Alopecuus myosuroides, Galium aparine, Stellaria media and wheat. Weed Res. 36:133–141.
Dianati Tilaki, G.A., B. Behtari and B. Behtari. 2009. Effect of salt and water stress on the germination of Alfalfa (Medicago sativa L.) seed. Povolzhskiy J. Eco. 2:158-164.
Fenner, M. 1985. The Ecology of Seed. Chapman and Hall, London, UK. 250pp.
Finney, D.J. 1971. Probit Analysis, 3rd edn. Cambridge University Press, Cambridge, UK.
Forcella, F. Benech-Arnold, R.L. Sanchez, R. and Ghersa, C.M. 2000. Modeling seedling emergence. Field Crops Res. 67: 123–139.
Gao, Y., A. Duan, X. Qiu, X. Li, U. Pauline, J. Sun and H. Wang. 2013. Modeling evapotranspiration in maize/soybean strip intercropping system with the evaporation and radiation interception by neighboring species model. Agri. Water Manag. 128: 110-119.
Grundy, A.C. and A. Mead 1998. Modeling the effects of seed depth on weed seedling emergence. Asp.Applied Bio. 51: 75-82.
Grundy, A.C., A. Mead, S. Burston. 1999. Modeling the effect of cultivation on seed movement with application to the prediction of weed seedling emergence. Applied Eco. 36: 663-678.
Kirby, E.J.M. 1993. Effect of sowing depth on seedling emergence, growth and development in barley and wheat. Field Crops Res. 35: 101-111.
Ross, M.A. J.L. Harper. 1972. Occupation of biological space during seeding establishment. J. Ecol. 60: 77-88.
Scott, S.J., R.A. Jones and W.A. Williams. 1984. Review of data analysis methods for seed germination. Crop Sci. 24: 1192–1199.
Smith, J., P. Smith and T. Addiscott. 1996. Quantitative methods to evaluate and compare soil organic matter models. pp. 181–199. In: Powlson DS, Smith P and Smith J (Eds). Evaluation of Soil Organic Matter Models. Springer-Verlag, Berlin.
Soltani, A., S. Galeshi, E. Zeinali and N. Latifi. 2002. Germination, seed reserve utilization and seedling growth of chickpea as affected by salinity and seed size. Seed Sci. Technol. 30: 51–60.
Soltani, A., M.J. Robertson, B. Torabi, M. Yousefi-Daz and R. Sarparast. 2006. Modeling seedling emergence in chickpea as influenced by temperature and sowing depth. Agri. Fores. Meteo. 138: 156–167.
Soltani, A., E. Zeinali, S. Galeshi and N. Latifi. 2001. Genetic variation for and interrelationships among seed vigor traits in wheat from the Caspian Sea coast of Iran. Seed Sci. Technol. 29: 653–662.
Tessier, S. 1988. Zero till furrow opener geometry effect on wheat emergence and seed zone properties. Ph.D. Dissertation. Washington State University, Pullman.
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