关键词: 盐碱地, 光合荧光参数, 营养品质, 方差分析, 相关性分析, 多元线性回归分析

Abstract: In order to systematically understand the relationship between photosynthetic fluorescence parameters and quality of alfalfa （ Medicago sativa ） in Yinbei saline-alkali land in Ningxia province to screen out the dominant alfalfa varieties， the main photosynthetic fluorescence parameters and quality indexes of four alfalfa varieties were compared by field experiment， variance analysis， correlation analysis and multiple regression analysis. The results showed that among four alfalfa varieties in saline-alkali land， the net photosynthetic rate （P_n） and maximum fluorescence （F_m） and other photosynthetic fluorescence parameters of the alfalfa variety ‘Zhongmu No.3’ were both the highest， indicating the strongest photosynthetic capacity. At the same time， the content of crude protein （CP） and relative feed value （RFV） were the highest. The multiple regression results showed that the formula of crude ash （ASH） model was as follows： crude ash （ASH）=16.45-0.72×non-photochemical quenching （NPQ）-0.40×relative feeding value （RFV）+0.48×transpiration rate （TR）-0.33×crude fat （Ether extract，EE）+0.32×potential activity （F_v/F_o）， R²=0.84. The formula of crude protein （CP） model was as follows： crude protein （CP）=5.48+0.06×relative feeding value （RFV）， R²=0.61. Therefore， ‘Zhongmu No.3’ alfalfa might be an advantageous forage variety with great promotion value in different types of saline-alkali land in Yinbei area of Ningxia province.

Key words: Saline-alkali soil, Photosynthetic fluorescence parameters, Nutritional quality, Variance analysis, Correlation analysis, Multiple linear regression analysis