CAJ | 학술논문

利用通径分析法和灰色关联分析法，对小麦的主要性状与产量进行了分析。通径分析结果表明，各性状对产量贡献率大小依次为：有效穗数〉穗粒数〉株高〉小穗数〉穗长〉千粒重。灰色关联分析的结果表明，小麦各性状的重要性排序为：有效穗数〉穗粒数〉千粒重〉株高〉穗长〉小穗数。试验通径分析中得到的贡献率大小及次序与灰色关联分析得到的关联度有所不同，但有效穗数、穗粒数均为最重要的2个性状，对提高产量起重要作用。
이용통경분석법화회색관련분석법，대소맥적주요성상여산량진행료분석。통경분석결과표명，각성상대산량공헌솔대소의차위：유효수수〉수립수〉주고〉소수수〉수장〉천립중。회색관련분석적결과표명，소맥각성상적중요성배서위：유효수수〉수립수〉천립중〉주고〉수장〉소수수。시험통경분석중득도적공헌솔대소급차서여회색관련분석득도적관련도유소불동，단유효수수、수립수균위최중요적2개성상，대제고산량기중요작용。
The data from main characters and yield in wheat were used to conduct PathCoefficent Analysis （ PCA ） and Grey Correlation Analysis （ GRA ） .The PCA results showed that the direct contribution rate of each character to the yield was ranked in size： effective panicle number〉 kernel number per panicle 〉 plant height〉spike number〉panicle length〉1000-grain weight.The GRA results indicated that the order of the importance among all characters was ranked： effective panicle number〉 kernel number per panicle〉1000-grain weight〉plant height〉panicle length〉spike number. In the experiment, the direct effects from PCA and GRA differed in the size and order. Among all main characters, effective panicle number and kernel number per panicle would play the most important roles in improving yield of wheat.