Simulation Model of Material Accumulation and Distribution of Fresh Cut Tulips of Different Varieties

doi:10.3969/j.issn.1000-6362.2019.12.003

Abstract

Abstract: With the increase of flower tourism projects, seedballs were imported about 17 million dollar to China in 2017, mainly towards lilies and tulips, and the demand for tulip seedball has also increasing significantly. Therefore, it is important to explore the quantitative relationship between the accumulation and distribution of tulip matter and meteorological environmental factors in solar greenhouse, and to establish a simulation model of dry and fresh matter accumulation and distribution index. The experiment was carried out in the international flower port solar greenhouse base named B2 in Yangzhen (40°10′27″N, 116°47′41″E, altitude 38m), Shunyi district, Beijing in 2016?2017. By means of collecting tulip experiment observation data of four kinds of different varieties (‘Pink Impression’; ‘Daydream’ ; ‘Esmee’ and ‘Queen of Night’), correspondingly, which were divided to four types of florescence (early blossoming, medium blossoming, later blossoming and very later blossoming), in growing seasons by multicast hydroponic way. StanGDD (Standardized growing degree days) was used as the environment driving variable to quantitatively analyze the variation law of dry and fresh matter accumulation and distribution index of different organs of tulip. The regression equations were obtained through statistical analysis and fitting, and used the independent experiment data to verify the model. The results showed that, firstly, the accumulation of dry and fresh matter in roots, stems and leaves revealed a Logistic curve with StanGDD. The accumulation of fresh matter in seedballs were not changed with StanGDD, but the accumulation of dry matter in it showed a quadratic function which decreased first and then increased with StanGDD. The accumulation of dry and fresh matter in flowers revealed a quadratic function which increased first and then decreased with StanGDD. The accuracy of dry and fresh matter accumulation model ranked by stem and flower < root < leaf < seedball. Secondly, the dry and fresh matter distribution index of stems and leaves showed a Logistic curve with StanGDD. The dry and fresh matter distribution of seedballs index revealed a quadratic function which decreased first and then increased with StanGDD, but the dry and fresh matter distribution index of flowers displayed the opposite tendency. The dry and fresh matter distribution index of roots displayed a decreased linear with StanGDD. The accuracy of dry and fresh matter distribution index model ranked by stem < root and bud < leaf < seedball. Thirdly, the simulation accuracy of dry matter accumulation and distribution model of different organs were higher than that of fresh matter. In general, the simulation model of matter accumulation and distribution of tulip in solar greenhouse had a high simulation accuracy.

Key words: Solar greenhouse, Tulip, Standardized growing degree days, Material accumulation, Distribution index

CHENG Chen，YU Wei-dong，YAN Jin-tao，LIU Hai-peng，FENG Li-ping. Simulation Model of Material Accumulation and Distribution of Fresh Cut Tulips of Different Varieties[J]. Chinese Journal of Agrometeorology, 2019, 40(12): 758-771.

References

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