Nonlinear Multivariate Prediction Model of ‘Kyoho’ Grape Full Bloom Dates in Japan-Reference-Cited by-同舟云学术

Nonlinear Multivariate Prediction Model of ‘Kyoho’ Grape Full Bloom Dates in Japan

Published:2022 Issue:2 Volume:91 Page:195-208
ISSN:2189-0102
Container-title:The Horticulture Journal
language:en
Short-container-title:Hortic J

Author:

Iwasaki Chisa¹,Sugiura Hiroyoshi²,Kikui Genichiro¹,Koyano Hitoshi¹

Affiliation:

1. Research Center for Agricultural Information Technology, National Agriculture and Food Research Organization

2. Institute of Fruit Tree and Tea Science, National Agriculture and Food Research Organization

Publisher

Japanese Society for Horticultural Science

Subject

Horticulture,Plant Science

Link

https://www.jstage.jst.go.jp/article/hortj/91/2/91_UTD-349/_pdf

Reference24 articles.

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2. Anderson, J. L., E. Richardson and C. D. Kesner. 1986. Validation of chill unit and flower bud phenology models for ‘Montmorency’ sour cherry. Acta Hortic. 184: 71–78.

3. Brent, R. P. 1973. Algorithms for minimization without derivatives. Prentice Hall. Englewood Cliffs, New Jersey.

4. de Wit, C. T., R. Brouwer and F. W. T. Penning de Vries. 1970. The simulation of photosynthetic systems. Prediction and measurement of photosynthetic productivity: proceedings of the IBP/PP technical meeting. Pudoc. 47–70.

5. Hanyu, J. and T. Uchijima. 1962. Studies on the relation of the weather conditions to the growth of crops Part 1. Relation of the air temperature to the heading date of rice plant (1). J. Agric. Meteorol. 18: 109–117 (In Japanese with English abstract).

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