Appropriate Nitrogen form Ratio and UV-A Supplementation Increased Quality and Production in Purple Lettuce (Lactuca sativa L.)
文献类型: 外文期刊
第一作者: Liu, Binbin
作者: Liu, Binbin;Mao, Pengpeng;Xu, Yaliang;Zheng, Yinjian;Li, Qingming;Mao, Pengpeng;Yang, Qi;Qin, Hengshan
作者机构:
关键词: anthocyanin; nitrogen form; nitrate; purple lettuce; ultraviolet-A
期刊名称:INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES ( 影响因子:5.6; 五年影响因子:6.2 )
ISSN: 1661-6596
年卷期: 2023 年 24 卷 23 期
页码:
收录情况: SCI
摘要: Purple lettuce (Lactuca sativa L. cv. Zhongshu Purple Lettuce) was chosen as the trial material, and LED intelligent light control consoles were used as the light sources. The purpose was to increase the yield and quality of purple lettuce while lowering its nitrate level. By adding various ratios of NO3--N and NH4+-N to the nutrient solution and 20 mu mol m(-2) s(-1) UV-A based on white, red, and blue light (130, 120, 30 mu mol m(-2) s(-1)), the effects of different NO3--N/NH4+-N ratios (NO3--N, NO3--N/NH4+-N = 3/1, NH4+-N) and UV-A interaction on yield, quality, photosynthetic characteristics, anthocyanins, and nitrogen assimilation of purple lettuce were studied. In order to produce purple lettuce hydroponically under controlled environmental conditions, a theoretical foundation and technological specifications were developed, taking into account an appropriate UV-A dose and NO3--N/NH4+-N ratio. Results demonstrate that adding a 20 mu mol m(-2) s(-1) UV-A, and a NO3--N/NH4+-N treatment of 3/1, significantly reduced the nitrate level while increasing the growth, photosynthetic rate, chlorophyll, carotenoid, and anthocyanin content of purple lettuce. The purple leaf lettuce leaves have an enhanced capacity to absorb nitrogen. Furthermore, plants have an acceleration of nitrogen metabolism, which raises the concentration of free amino acids and soluble proteins and promotes biomass synthesis. Thus, based on the NO3--N/NH4+-N (3/1) treatment, adding 20 mu mol m(-2) s(-1) UV-A will be helpful in boosting purple lettuce production and decreasing its nitrate content.
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