Aims Alfalfa (Medicago sativa) is an important forage in the intercropping system. However, the extreme weak light environment in the intercropping system often leads to a significant decrease in alfalfa yield, and breeding shade-tolerant cultivars is the main way to solve this bottleneck problem.
Methods In this study, 20 alfalfa germplasm resources were used as test materials, and the shading rates were 0 (full light), 52.9% (moderate shading) and 71.8% (heavy shading) were used to determine the changes in six morphological indexes (stem diameter, height, number of primary lateral root, number of root nodule, number of root crown tiller, angle of stem to leaf), seven growth indexes (leaf mass, plant biomass, leaf area, specific leaf area, the percentage of leaf mass, stem mass and root mass in total biomass), and five physiological indexes (chlorophyll a content, chlorophyll b content, total chlorophyll content, carotenoid content, chlorophyll a/b ratio) during the tillering stage of alfalfa under different light intensities. Based on the shading rates of 0 and 52.9%, principal component analysis, membership function analysis, cluster analysis, and stepwise regression analysis were used to comprehensively evaluate the shade tolerance of alfalfa germplasm resources and screen their identification indicators.
Important findings (1) The stem diameter, the number of root nodule, and the number of root neck tillering of alfalfa decreased with the decrease of light intensity. The total chlorophyll content showed an increasing trend. The number of primary lateral root, leaf dry mass, biomass per plant, and leaf area showed a trend of first increase and then decrease, while the trends of other indexes were inconsistent, and there were significant differences among different cultivars. (2) Combining principal component analysis, membership function analysis and cluster analysis, the 20 test materials could be divided into three types according to their shade tolerance: shade tolerant (4 test materials), semi-shade tolerant (8 test materials), and shade-sensitive (8 test materials). (3) By stepwise regression analysis, the optimal regression equation was established: D = -0.108 + 0.071X10 + 0.049X6 + 0.208X14 + 0.027X4 + 0.096X7 + 0.052X3 + 0.048X5, the precision of estimation was above 93.72%. Seven indexes, including leaf area, leaf dry mass, angle between stem and leaf, number of root nodules, number of primary lateral roots, number of root neck tillering, and chlorophyll a content were selected as shade tolerance identification indexes for alfalfa. The results would provide good materials and scientific basis for the breeding of alfalfa cultivars with shade tolerance, and contribute to the construction and optimization of alfalfa intercropping systems.