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Application of a Logistic Function to Describe the Growth of Fodder Galega

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Języki publikacji
EN
Abstrakty
EN
It was attempted in the paper to describe the growth of oriental goat’s rue (Galega orientalis Lam.) growth by means of a logistic function. The studies demonstrated that the function describes empirical data well as the coefficients of determination obtained ranged between 97 to 98%, depending on the growing season. The estimated function parameters indicate that both the plant height and growth rate were conditioned by thermal conditions and moisture during the growing season. Plants had the longest stems in the year 2010 (127.9 cm), and the shortest in 2008 (105.9 cm). The maximum growth rate ranged from 2.12 to 3.97 cm per day in, respectively, 2009 and 2008. Also the inflection point, the point at which plants grew the fastest, depended on the conditions of the growing season.
Rocznik
Strony
125--131
Opis fizyczny
Bibliogr. 32 poz., rys.
Twórcy
autor
  • University of Natural Sciences and Humanities in Siedlce, Prusa 14, 08-110 Siedlce, Poland,
autor
  • University of Natural Sciences and Humanities in Siedlce, Prusa 14, 08-110 Siedlce, Poland,
Bibliografia
  • 1. Baker D.N., Hesketh J. D., and Duncan W.G., 1972. Simulation of growth and yield in cotton. Gross photosyntesis, respiration ar growth. Crop Science, 12: 431–435.
  • 2. Baležentienė L., 2011. Introduction and agro economical value of Galega orientalis Lam. 3rd International Symposium on Weeds and Invasive Plants, October 2–7, 2011 in Ascona, Switzerland.
  • 3. Baležentienė L., 2009. Bioassay of phenolics accumulation and activity in fodder galega (Galega orientalis Lam.) at different development stages. Agriculture, 96, 170–181.
  • 4. Bochniak A. and Wesołowska-Janczarek M., 2006. A problem of fitting a common curve for two replications on example of sprouting process of corn seeds stimulated with magnetic field. Inżynieria Rolnicza, 5, 39–47.
  • 5. Curry R.B. and Chen L.H., 1971. Dynamic simulation of plant growth. Part II. Incorporation of actual daily weather and partitioning of net photosynthate. Transactions of the ASAE, 14, 1170–1174.
  • 6. Curry R.B., 1971. Dynamic simulation of plant growth. Part I. Development of a model. Transactions of the ASAE, 14, 946–959.
  • 7. Damgaard Ch. and Weiner J., 2008. Modeling the growth of individuals in crowded plant populations. Journal of Plant Ecology, 1 (2), 111–116.
  • 8. Damgaard Ch., Weiner J. and Nagashima H., 2002. Modeling the growth of individuals in plant populations: growth curves of Chemopodium album at two densities. Journal of Plant Ecology, 90, 666–671.
  • 9. Deska J. and Wyrzykowska M., 2005. Application of the path method to estimate crop components in seed production of goat’s rue (Galega orientalis Lam.). 51. Biom. Koll., Biometrie 2005, Halle Marz 2005, 112.
  • 10. Deska J., 2009. Some problems of fodder galega (Galega orientalis Lam.) growing for seed in climatic conditions of the Siedlce Upland (in Polish). Wyd. AP w Siedlcach. Siedlce, 104 pp.
  • 11. Deska J., Bombik A. and Rymuza K., 2012. The effect of hydro-thermal conditions on the seed yield structure of fodder galega (Galega orientalis Lam.). Water-Environment-Rural Areas, 12 (2), 61–76.
  • 12. Egamberdieva D., Berg G., Lindström, K. and Räsänen L.A., 2010. Co-inoculation of Pseudomonas spp. with Rhizobium improves growth and symbiotic performance of fodder galega (Galega orientalis Lam.). European Journal of Soil Biology, 46, 3–4, 269–272.
  • 13. Elandt R., 1964. Mathematical statistics applied to agricultural experiments. PWN Warszawa, Warszawa, 595 pp.
  • 14. Gregorczyk A., 1991. The logistic function-its application to the description and prognosis of plant growth. Acta Societatis Botanicorum Poloniae, 60(1–2), 67–76.
  • 15. Ignaczak S., 2010. Productivity of seed plantations of fodder galega (Galega orientalis Lam.) in extensive utilization. Journal of Research and Applications in Agricultural Engineering, 55(3), 122–127.
  • 16. Karadavut U., 2009. Non linear models for growth curves triticale plants under irrigation conditions. Turkish Journal of Field Crops, 4 (2), 105–110.
  • 17. Karadavut U, Kayi S.A., Palta Ç. and Okur O., 2008. A Growth Curve Application to Compare Plant Heights and Dry Weights of Some Wheat Varieties. American-Eurasian Journal of Agricultural & Environmental Sciences, 3 (6), 888–892.
  • 18. Kozłowski S., Zielewicz W., 2013. Occurrence of organic constituents in goat’s rue taking into consideration its fodder utilization. Water-Environment-Rural Areas, 44 (4), 65–76.
  • 19. Mikkonen E., Kondo K., Lappi K., Wallenius K., Lindström, Hartikainen H. and Suominen L., 2011. Contaminant and plant-derived changes in soil chemical and microbiological indicators during fuel oil rhizoremediation with Galega orientalis. Geoderma, 160 (3–4), 336–346.
  • 20. Mustears H..J.W., 1989. A dynamic equation for plant interaction and application to yield-density-time relations. Annals of Botany, 64, 521–531.
  • 21. Patterson D.T., 1993. Effects of day and night temperature on goat’s rue (Galega officinalis) and alfalfa (Medicago sativa) growth. Weed Science, 41, 38–45.
  • 22. Pyda M., 1977. Mathematical model of rape growth (in Polish). Nowe Rolnictwo, 5, 12–13.
  • 23. Raig H., 2001. Cutting time and frequency. In: H. Nommsalu (Editor) Fodder galega. Saku. Estonian. Research Institute of Agriculture, 55–57.
  • 24. Richards F.J., 1969. A flexible growth function for empirical use. Journal of Experimental Botany, 10: 290–300.
  • 25. Ryan T.P., 1997. Modern Regression Methods. Wiley & Sons, New York, 672 pp.
  • 26. Seber G.A.F. and Wild C.J., 1989. Nonlinear regression. Wiley &Son, New York, 768 pp.
  • 27. Seidler M. and A. Gregorczyk, 1986. A mathematical description of maize leaf area growth a logistic curve. Acta Agrobotanica, 39(2), 359–365.
  • 28. Šlepetys J., 2003. Longevity of fodder galega and grown for forage and seed on a low moor soil with removed peat layer. Agricultura, 84, 92–103.
  • 29. Tsoularis A. and Wallace J., 2002. Analysis of logistic growth models. Mathematical Biosciences, 179, 21–55.
  • 30. Tsoularis A., 2001. Analysis of Logistic Growth Models. Res. Lett. Inf. Math. Sci., 2, 23–46.
  • 31. Villegas D., Aparicio N., Blanco R., and Royo C., 2001. Biomass accumulation and main stem elongation of durum wheat grown under Mediterranean conditions. Annals of Botany, 88, 617–627.
  • 32. Wesołowska-Janczarek M., 1993. Growth curves – a review and new problems. Biometrical Letters, 30, 73–96.
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
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