Abstract：In order to study the effects of different fertilization regimes on the growth and yield in facility lettuce, the samples were divided into 13 treatments, including severe, moderate, mild, normal and excessive applications of nitrogen, phosphorus, and potassium. During the whole growth period, the machine vision technology was used to acquire the top view and front view images of lettuce canopy continuously, the top projected canopy area, top projected canopy perimeter and plant height were extracted from the images, which were significantly related to the growth. The relationships among nutrient content, growth and yield of lettuce canopy were studied by grey correlation analysis. The results showed that the order of effect on different nutrition with lettuce growth was nitrogen(N)> phosphorus(P)> potassium(K). The contents of P, K and the yield of lettuce under different nitrogen application conditions were analyzed. When the yield reached the maximum, the contents of N, P, K were 4.83%, 0.63% and 2.82% respectively, and there was a synergistic interaction between them. Combined with the environmental information and the “slow-fast-slow” “s” type growth law of lettuce, the relationship models of nutrient content and growth information in three growth periods were established, which provided a scientific basis and theoretical guidance for the fertilization and high-yield cultivation of facility lettuce.
高洪燕,毛罕平,倪纪恒,公丽艳*,张晓东. 施肥量对生菜养分与长势的影响及模型模拟[J]. 排灌机械工程学报, 2020, 38(12): 1264-1269.
GAO Hongyan,MAO Hanping,NI Jiheng,GONG Liyan *,ZHANG Xiaodong. Effects of different fertilization on nutrient and growth of lettuce and models simulation. Journal of Drainage and Irrigation Machinery Engin, 2020, 38(12): 1264-1269.
