Abstract: In order to measure the lodging resistance of wheat effectively,84 new wheat varieties from the Regional Trial of Henan Province in 2015-2016 were analyzed using lodging index,cluster analysis and principal component analysis. The result showed that the average lodging index was 7.06, 40 varieties were below 3.50,accounting for 47.6% of all tested varieties,and 8 varieties had the lodging index value above 20,accounting for 9.5%,which indicated that the lodging resistance of most new varieties tested in Henan Regional Trial was good. The correlation coefficient of lodging index with lodging area,lodging level and ratio of severe lodging pilot was 0.977^{* *},0.912^{* *} and 0.906^{* *},respectively,reaching to 0.01 significant level,which suggested that the lodging index could quantify the lodging resistance well. Principal component analysis showed that lodging index,lodging area,lodging level and ratio of severe lodging pilot (based on 2017 criterion) were the best indicators to measure the lodging resistance of wheat. The combination of phenotypic clustering with lodging index and lodging parameters (including ratio of severe lodging pilot,ratio of lodging pilot,lodging area and lodging level) was better than lodging index or lodging parameter alone to evaluate the lodging resistance. It was concluded that this method could measure the lodging resistance qualitatively and quantitatively in single spot or multi-spot trials,and it could be extended to other cereal crops to identify lodging resistance. The proposed method provided a feasible way for estimating and classifying the lodging resistance of wheat varieties effectively.

Key words: Bread wheat, Lodging resistance, Lodging index, Principal component analysis, Qualitative and quantitative analysis

CLC Number: 

• S512.01