摘要
为筛选最适合山葡萄的光合-光响应模型和光能利用效果最佳的山葡萄品种,选取‘北冰红’‘双红’‘左优红’‘雪兰红’‘北国红’和‘双丰’6个山葡萄品种,利用直角双曲线模型、非直角双曲线模型、直角双曲线修正模型和指数函数模型4个光响应模型,通过因子分析对最大净光合速率(P_(nmax))、表观量子效率(α)、暗呼吸速率(R_(dark))、光补偿点(LCP)和光饱和点(LSP)5个光响应参数进行综合评价。结果表明,与实测值比较,除‘北国红’的LSP差异较大外,直角双曲线修正模型对其他5个山葡萄品种的光响应曲线拟合效果均最佳,求解出的P_(nmax)、α、R_(dark)、LCP和LSP最趋近于实测值。主成分分析从5个光响应参数中提取出2个特征根大于1的主成分,累计方差贡献率达82.71%。综合评价和聚类分析均表明‘北冰红’为光能利用效果最佳的山葡萄品种,属于强光环境中适应能力强且光能利用效果好的品种,为山葡萄在新疆的推广提供技术参考。
In order to select the best Vitis amurensis variety and photosynthetic-light response model,6 Vitis amurensis varieties including‘Beibinghong’‘Shuanghong’‘Zuoyouhong’‘Xuelanhong’‘Beiguohong’and‘Shuangfeng’were as materials.And their light response curves were fitted by rectangular hyperbola model,non-rectangular hyperbola model,modified rectangular hyperbola model and exponential model,respectively.The maximum net photosynthetic rate(Pnmax),dark respiration rate(R_(dark)),apparent quantum yield(α),light compensation point(LCP)and light saturation point(LSP)were evaluated.Compared with measured values,the modified rectangular hyperbola model had the best fitting effect on the photosynthetic-light response of Vitis amurensis variety except for the LSP of‘Beibinghong’,which the P_(nmax),α,R_(dark),LCP and LSP calculated by model were closest to the measured values.Two principal components with characteristic root>1 were extracted by principal component analysis and their cumulative contribution was 82.71%.The comprehensive evaluation and cluster analysis showed that‘Beibinghong’was the best variety with the high utilization of light,which could be planted in strong light environment and take fully use of light energy,which provided technical reference for the promotion of Vitis amurensis in Xinjiang.
作者
刘阳阳
潘越
王世伟
虎海防
LIU Yangyang;PAN Yue;WANG Shiwei;HU Haifang(College of Forestry and Horticulture,Xinjiang Agricultural University,Urumqi 830052,China;Research Institute of Landscaping,Xinjiang Academy of Forestry Science,Urumqi 830063,China)
出处
《中国农业科技导报》
CAS
CSCD
北大核心
2022年第2期104-114,共11页
Journal of Agricultural Science and Technology
基金
新疆维吾尔自治区林果种质资源创新项目(lgxym-2020-10)
新疆维吾尔自治区重点研发项目(2020B01003-1)。
关键词
山葡萄
光响应模型
光响应曲线
聚类分析
因子分析
Vitis amurensis
light response model
light response curve
clustering analysis
factor analysis