[Objective] This study was to provide a theoretical basis for the selection of the parents of proso millet breeding in dry land of south Ningxia, with the aim to improve the production of hilly proso millet in Ningxia...[Objective] This study was to provide a theoretical basis for the selection of the parents of proso millet breeding in dry land of south Ningxia, with the aim to improve the production of hilly proso millet in Ningxia hilly area. [Method] The genetic diversity of 46 accessions of dryland proso millet germplasm at 11 agronomic traits were analyzed by using principal component analysis, Shannon-weaver diversity index and non-weighted matching arithmetic average clustering method （UPGMA）. Cluster analysis was also performed. [Result] The proso millet resources mainly had green inflorescence color, panicle spikes, and yellow grain color. The maximum diversity index of proso millet was 2.03. The variation coefficient of grain weight per plant was 19.23. In all the principal components, the main information concentrated on the first 4 principal components with the cumulative contribution rate reaching 83.34%. The tested materials were clustered into 3 categories at euclidean distance of 0.984 4. The first category contained 41 germplasm resources, the second contained 2, and the third category contained 3. [Conclusion] This study could provide references for the targeted use of drought-resistant parents to select hybrid combinations of proso millet in Ningxia.展开更多
基金Supported by the Natural Science Foundation of Ningxia Hui Autonomous Region(NZ15269)the China Agriculture Research System for Proso Millet(CARS-07-13.5-A13)the Full Industry Chain Science and Technology Innovation Demonstration Project in Ningxia(QCYL-18-08)
文摘[Objective] This study was to provide a theoretical basis for the selection of the parents of proso millet breeding in dry land of south Ningxia, with the aim to improve the production of hilly proso millet in Ningxia hilly area. [Method] The genetic diversity of 46 accessions of dryland proso millet germplasm at 11 agronomic traits were analyzed by using principal component analysis, Shannon-weaver diversity index and non-weighted matching arithmetic average clustering method （UPGMA）. Cluster analysis was also performed. [Result] The proso millet resources mainly had green inflorescence color, panicle spikes, and yellow grain color. The maximum diversity index of proso millet was 2.03. The variation coefficient of grain weight per plant was 19.23. In all the principal components, the main information concentrated on the first 4 principal components with the cumulative contribution rate reaching 83.34%. The tested materials were clustered into 3 categories at euclidean distance of 0.984 4. The first category contained 41 germplasm resources, the second contained 2, and the third category contained 3. [Conclusion] This study could provide references for the targeted use of drought-resistant parents to select hybrid combinations of proso millet in Ningxia.
