Predicting plant height of greenhouse grown crops with a polynomial growth rate model

Biometrical Journal

Volumn 40, Issue 3, 1998, Pages 295-311

  Snipen, Lars Gustav ^a  

^a NORWEGIAN UNIVERSITY OF LIFE SCIENCES   (Norway)

Author keywords

Longitudinal data; Maximum likelihood; Pointsettias; Polynomials; Prediction; Schwarz' Bayesian criterion

Indexed keywords

CROPS; GREENHOUSES; GROWTH RATE; MAXIMUM LIKELIHOOD ESTIMATION; POLYNOMIALS;

BAYESIAN CRITERION; FORCINGS; LONGITUDINAL DATA; MA XIMUM LIKELIHOODS; MAXIMUM-LIKELIHOOD; PLANT HEIGHT; POINTSETTIA; POLYNOMIAL GROWTHS; RATE MODELS; SCHWARZ' BAYESIAN CRITERIA;

FORECASTING;

EID: 0032373379     PISSN: 03233847     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1521-4036(199807)40:3<295::AID-BIMJ295>3.0.CO;2-3     Document Type: Article

References (23)

1. AZZALINI, A., 1987: Growth curve analysis for patterned covariance matrices. In: M. Puri, J. P. Vilaplana and W. Wertz (eds.): New Perspectives in Theoretical and Applied Statistics. Wiley, New York, 63-70.
2. BERGHAGE, R. D. and HEINS, R. D., 1991: Quantification of temperature effects on stem elongation in poinsettia. J. Amer. Soc. Hortic. Sci. 116, 14-18.
3. CHALLA, H., 1985: Report of the working party "Crop Growth Models". Acta Hortic. 174, 169-175.
4. CROWDER, M. J. and HAND, D. J., 1990: Analysis of repeated measures. Chapman & Hall, London.
5. DIGGLE, P. J., LIANG, K. Y., and ZEGER, S. L., 1994: Analysis of longitudinal data. Clarendon Press, Oxford.
6. ERWIN, J. E. and HEINS, R. D., 1995: Thermomorphogenic responses in stem and leaf development. HortScience 30, 940-949.
7. EYKHOFF, P., 1994: Every good regulator of a system must be a model of that system. Model. Idem. Control 15, 135-139.
8. FISHER, P. R., HEINS, R. D., and LIETH, J. H., 1996a: Quantifying the relationship between phases of stem elongation and flower initiation in poinsettia. J. Amer. Soc. Hortic. Sci. 121, 686-693.
9. FISHER, P. R., HEINS, R. D., and LIETH, J. H., 1996b: Modeling the stem elongation response of poinsettia to chlormequat. J. Amer. Soc. Hortic. Sci. 121, 861-868.
10. KARLSSON, M. G., HEINS, R. D., and CARLSON, W. H., 1983: Development of environmental strategies based on plant growth models. Acta Hortic. 147, 153-160.
11. LAIRD, N. M. and WARE, J. H., 1982: Random-Effects Models for Longitudinal Data. Biometrics 38, 963-974.
12. LIETH, J. H. and CARPENTER, P., 1990: Modeling stem elongation and leaf unfolding of Easter lily during greenhouse forcing. Sci. Hortic. 44, 149-162.
13. p. Technometrics 15, 661-675.
14. MARDIA, K. V., KENT, J. T., and BIBBY, J. M., 1979: Multivariate analysis. Academic Press, London.
15. MARTENS, H. and NÆS, T., 1989: Multivariate calibration. John Wiley & Sons, New York.
16. MYSTER, J. and MOE, R., 1965: Effect of diurnal temperature alternations on plant morphology in some greenhouse crops - a mini review. Sci. Hortic. 62, 205-215.
17. OSTEN, D. W., 1988: Selection of optimal regression models via cross-validation. J. Chem. 2, 39-48.
18. PICARD, R. R. and COOK, R. D., 1984: Cross-validation of regression models. J. Amer. Statist. Assoc. 79, 575-583.
19. RIPLEY, B. D., 1987: Stochastic simulation. John Wiley & Sons, New York.
20. SCHWARZ, G., 1978: Estimating the dimension of a model. Ann. Statist. 6, 461-464.
21. STONE, M., 1974: Cross-validatory choice and assessment of statistical predictions. J. Roy. Statist. Soc. B 36, 111-133.
22. THORNLEY, J. H. M. and JOHNSON, I. R., 1990: Plant and crop modelling - a mathematical approach to plant and crop physiology. Clarendon press, Oxford.
23. WARE, J. H., 1983: Growth curves. In: S. Kotz and N. L. Johnson (eds. i: Encyclopedia of Statistical Sciences 3, Wiley, New York, 539-542.