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Chinese Agricultural Science Bulletin ›› 2023, Vol. 39 ›› Issue (19): 124-130.doi: 10.11924/j.issn.1000-6850.casb2022-0578

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Comprehensive Analysis of the Forage Quality of Sweet Sorghum

ZHANG Wei(), ZHANG Yang, WANG Guan, SHAO Rongfeng, XUE Dingding, CHANG Yuhui, YAN Hao, ZHAO Weijun()   

  1. Sorghum Research Institute, Shanxi Agricultural University, Jinzhong, Shanxi 030600
  • Received:2022-07-11 Revised:2022-09-08 Online:2023-07-05 Published:2023-07-03

Abstract:

In order to explore the relationship between different forage indexes of forage sweet sorghum, comprehensively evaluate forage sweet sorghum varieties, and improve the breeding process of new varieties, 19 forage indexes of 13 sweet sorghum varieties were analyzed by variation analysis, correlation analysis, principal component analysis and cluster analysis. The results showed that the variation coefficient of crude protein, acid detergent fiber (ADF) and neutral detergent fiber (NDF), which could best reflect the quality of forage grass, were all less than 10%, while the variation coefficient of starch, Brix and element indexes were all greater than 15%. Therefore, it is necessary to develop high protein germplasm resources in forage sweet sorghum breeding. Correlation analysis showed that ADF was significantly positively correlated with NDF (P<0.01), and calcium content was significantly positively correlated with total digestible nutrients and relative forage value (RFV) (P<0.01). 19 forage indexes were divided into 4 principal components by principal component analysis, and the cumulative contribution rate reached 90.49%. The comprehensive analysis showed that the top 5 varieties were J205, TP3, TP14, TP83 and TP5, which had better comprehensive forage quality. The 13 varieties were divided into 3 groups by cluster analysis, among which, J205 and TP3 were the high comprehensive quality forage varieties.

Key words: sorghum, forage quality, principal component analysis, cluster analysis, correlation analysis