Grey Correlation Degree Analysis on Disease Resistance and Main Agronomic Characters of Wheat
LIU Fan
LI Jiang
WU Xian-cheng
YANG Jun-qing
ZHANG Rui
LI Guo-qiang
Abstract:Grey correlation degree analysis was used to study the relationships between the various characters and yield of 23 wheat strains from regional testing in Yunnan. The characters studied in this paper included growth period,basic seedlings,plant height, spike number per 667 m2 ,kernel number per spike,1 000-grain weight,yellow rust,powdery mildew. Results showed that the cor-relation degrees between the various characters and yield were ranked as follow:spike number per 667 m2 ( =0. 7 978) ﹥ growth pe-riod( =0. 7 527) ﹥ basic seedlings( =0. 7 197) ﹥ kernel number per spike( =0. 7 153) ﹥ powdery mildew( =0. 6 979)﹥1 000-grain weight( =0. 6 789) ﹥ yellow rust( =0. 6 706) ﹥ plant height( =0. 6 490). According to the correlation of main agronomic characters of wheat,the spike number per 667 m2 which had the greatest influence on yield had close relationship with growth period and basic seedlings,and thereafter were the resistance of powdery mildew and yellow rust,kernel number per spike and 1 000-grain weight. It indicated that in the course of breeding in Yunnan province,we should give priority to wheat testing strains with the resistance of powdery mildew and yellow rust under the premise of similar basic seedlings;pay attention to the strain with lon-ger growth period,higher spike number per 667 m2 ,more kernel number per spike and higher 1 000-grain weight At the same time, the height of the plant cannot be ignored.
Keywords:WheatGrey correlation degree analysisAgronomic charactersBreeding
Publication Date:2014-01-01
Online Publishing Date:2025-08-15(First online date of this platform, not the publication date of the document)
Pages:4( 23-26 )
