摘要
为研究河北石家庄秋冬茬设施番茄种植过程中环境温度对番茄苗生长的影响,选用大果型番茄合作906为试验材料,在人工气候室开展苗期番茄不同昼夜温差试验,采集本地种植番茄的设施环境温度进行统计分析,参照实际昼夜温度进行试验设计,昼均温设置26、29、32、35℃,昼夜温差设置0、3、6、9℃,夜温=昼温-昼夜温差。通过对番茄苗的株高生长速率、茎粗生长速率、根冠比、壮苗指数、光合速率、蒸腾速率、水分利用率、气孔导度、光能利用率等9项指标的测量,并进行了相关性分析和主成分分析,得到3个主成分,其累计贡献率为77.593%,通过3个主成分的特征值加权计算9个性状的主成分因子的综合得分,其中29℃/23℃为得分最高的昼夜温度组合,即为苗期的最适宜生长温度。
In order to study the effect of ambient temperature on tomato seedling growth during greenhouse tomato planting in autumn and winter in local area,the large-fruit tomato Hezuo 906 was used as the experimental material to carry out different diurnal temperature differences of tomato at seedling stage in an artificial climate chamber.The ambient temperature of greenhouse tomato planted in local area was collected for statistical analysis and the experimental design was carried out with reference to the actual diurnal temperature.The daytime average temperature was set to be 26℃,29℃,32℃,35℃,and the diurnal temperature difference was set to be 0℃,3℃,6℃,9℃,and the night temperature=day temperature–day temperature difference.Nine indexes of tomato seedlings,such as plant height growth rate,stem diameter growth rate,root to shoot ratio,strong seedling index,photosynthetic rate,transpiration rate,water use efficiency,stomatal conductance and light energy use efficiency,were measured,and correlation analysis and principal component analysis were performed.The results showed that three principal components accounted for 77.593%of the total contribution rate.The comprehensive scores of the principal component factors of nine traits were calculated by weighting the characteristic values of the three principal components.Among them,29℃/23℃was the diurnal temperature combination with the highest score,and it was the most suitable temperature for seedling stage.
作者
黄媛
李瑜玲
高欣娜
张燕
陈诚
武猛
李海杰
杜亚茹
康艺凡
杨英茹
HUANG Yuan;Li Yuling;GAO Xinna;ZHANG Yan;CHEN Cheng;WU Meng;LI Haijie;DU Yaru;KANG Yifan;YANG Yingru(Shijiazhuang Agricultural Information Engineering Technology Research Center/Hebei Province City Agriculture Technology Innovation Centers/Shijiazhuang Academy of Agricultural and Forestry Sciences,Shijiazhuang 050041,Hebei,China;Beijing Research Center for Information Technology in Agriculture,Beijing 100000,China)
出处
《中国瓜菜》
CAS
北大核心
2021年第8期32-37,共6页
China Cucurbits And Vegetables
基金
河北省科技厅重点研发计划(19226919D)
农业部岗位科学家项目(CARS-23-C06)
石家庄市科学技术研究与发展计划项目(201490074A)。
关键词
设施番茄
昼夜温差
相关性分析
主成分分析
Greenhouse tomato
Diurnal temperature variations,Correlation analysis
Principal component analysis
