Modeling Approaches for Estimating Cardinal Temperatures by Bilinear, Parabolic, and Beta Distribution Functions

서지정보

· 발행기관 : 한국원예학회
· 수록지 정보 : 원예과학기술지 / 27권 / 2호 / 239 ~ 243페이지
· 저자명 : 조영열, 손정익, 오영민

초록

Estimation of the cardinal temperatures – the base, optimum and maximum temperatures – is indispensable because plant growth and development are affected by temperature. Although several models including linear and nonlinear functions are available to estimate the temperatures, a model suitable to the specific crop should be selected. The objectives of this study were to analyzed the estimated the cardinal temperatures for germination of spinach (Spinachia oleracea cv. Gwibin) by bilinear, parabolic and beta distribution models and to find a model reflecting the plant response to temperature adequately. Seeds of spinach were germinated in a growth chamber at constant temperatures of 2, 4, 8, 12, 16, 20, 24, 28, 32, and 36℃. Radicle emergence of 1 mm was scored as germination. The time course of germination was fitted using a logistic function. The base, optimum, and maximum temperatures were estimated by regression of the inverse time to 50% germination rate against temperature gradient. We obtained the base, optimum and maximum temperatures of -4.0, 17.1 and 33.2℃ in bilinear function; -0.9, 15.8 and 32.5℃ in parabolic function; and -2.6, 16.6 and 32.6℃ in beta distribution function, respectively. Among the three functions, a beta distribution function had a good agreement with the plant response to temperature showing the highest R2 (coefficient of determination) and the lowest RMSE.

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