Dissertation
Dissertation > Agricultural Sciences > Gardening > Horticultural ( protected cultivation ) > Fruits facilities \u0026 Horticulture

Simulation of the Effects of Soil Water Content on the Characteristics of Greenhouse Muskmelon Fruit Quality

Author CuiChong
Tutor HuangDanFeng;ChangLiYing
School Shanghai Jiaotong University
Course Horticulture
Keywords Muskmelon Soil water content Fruit quality Production of thermal effectiveness and PAR Simulation
CLC S627
Type Master's thesis
Year 2012
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Reasonable water management is important for high quality and yield of melon production, which is good for fruit sugar content and dry matter accumulation. The melon quality model will be beneficial to accurately predict and control the quality, and be urgent to promote the development and growth of melon industrial. In this research,“WangLu”, the dominating cultivated muskmelon variety in East China was used as experimental material. In order to achieve the objective above, through different stubble arrangements, variation characteristic of each fruit quality indicator was systematic studied of each sequence during muskmelon fruit growth and development cultivated in spring and autumn cultivation. At the same time, different simulation equation were established for each quality indicator after the data fitting analysis between each fruit quality indicator’s variation characteristic and the change of environmental factors. Consequently, the model of link relevance between the external and internal quality was established during the growth of the fruit of muskmelon.1. The higher soil water content will lead plant moderate growth and lower soil water content would be a block for plant growth, have a negative effect on the accumulation of dry matter and TST. The results in this experiment show that the treat of 0.258m3/m3 of water content is the best scheme for the muskmelon plant growth.2. Effects of substrate water potential on the dynamics of plant height, stem diameter and dry matter partitioning were quantified based on the experimental data. These quantitative relationships were then integrated into a model. Independent experimental data were used to validate the model. The results showed that for plant height and stem diameter, the relative prediction error was 6.1% and 5.4%, respectively. For leaf dry weight, stem dry weight, fruit dry weight, shoot dry weight and root dry weight, t the relative prediction error was10.1%, 3.2%, 11.8%, 9.2%, 12.7%, respectively.3. Study the effects of soil water content on fruit long and diameter, weight of single fruit ,fruit color features of muskmelon by quantitative analysis ,set up the related model. The results showed that for fruit long and diameter, weight of single fruit ,fruit color features, the relative prediction error was 8.4%,13.2%,12.6%,4.6% 1.7%,2.7% 4.6%, respectively. The model can predict the characters of external quality much better under different water content.4. Study the effects of PTEP on the characters of internal quality, and take into account the main factor such as water. Light and temperature exert momentous effects on the accumulation of dry matter and transportation of nutrients of fruit. So, this model integrated the effective accumulated temperature and PAR, simulated the changes of internal qualities, the results showed that for VC, STS, sucrose, fructose and TSS, the relative prediction error was 12.8%, 12.9%, 12.3%, 10.3%, 11.9%; which can predict the content of internal quality during the growth of fruit.5. On the basis of simulation model of muskmelon fruit growth, study the relation between the external and internal quality across the whole growing season. In the end, the regression model, by the help of relevant statistical software, using stepwise regression for internal and external quality of muskmelon fruit was created. The results show that the color characteristics value r and b, respectively, predict changes in surface chlorophyll content of quality. Considering the prediction accuracy of fruit diameter and coverage, the fruit coverage can predict the content of fructose, Vc and TSS, while the fruit diameter can better predict sucrose content, which is the best option.

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