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首页> 外文期刊>Acta Horticulturae >Developing a dynamic model for glasshouse lettuce growth and nitrate accumulation.
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Developing a dynamic model for glasshouse lettuce growth and nitrate accumulation.

机译：建立温室莴苣生长和硝酸盐累积的动态模型。

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摘要

This paper presents a framework for a dynamic mechanistic model for predicting lettuce dry matter accumulation and nitrate concentration during growth. The model assumes that lettuce has three separate pools: a structural biomass pool, a soluble carbohydrates pool and an insoluble carbohydrates pool. Both soluble and insoluble carbohydrates pools receive carbon assimilate from canopy photosynthesis. The soluble carbohydrates pool, which also receives carbon assimilate from insoluble carbohydrates pool, provides carbon assimilate to the structural biomass pool. At the same time, the model also simulates time-dependent water mass stored in lettuce. Nitrate concentration is calculated using a turgor maintenance hypothesis assuming that nitrate accumulates in the plant in response to a decline in soluble carbohydrates to contribute to the solute potential for leaf expansion. Predictions including plant fresh/dry matter and nitrate concentration were found to be in good agreement with the measurements.
机译：本文提供了一个动态机制模型的框架，该模型可预测生菜中生菜干物质积累和硝酸盐浓度。该模型假定生菜具有三个独立的池：结构生物质池，可溶性碳水化合物池和不溶性碳水化合物池。可溶性和不溶性碳水化合物库均从树冠光合作用中吸收同化碳。可溶性碳水化合物池也从不溶性碳水化合物池中吸收碳同化物，为结构生物质池提供碳同化物。同时，该模型还模拟了生菜中随时间变化的水量。硝酸盐浓度是使用turgor维持假设进行计算的，假设硝酸盐在植物中积累，以响应可溶性碳水化合物的减少，从而有助于叶片膨胀的溶质潜力。发现包括植物新鲜/干物质和硝酸盐浓度在内的预测与测量值非常吻合。

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