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Multivariate Regression Analysis on Correlated Characters about Fresh Pod Yield of Fresh Edible Soybean
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作者 葛长军 闫良 +1 位作者 徐丽荣 罗九玲 《Agricultural Science & Technology》 CAS 2015年第4期687-690,共4页
Objective] The alm was to survey 10 characters of 8 fresh edibIe soy-bean varieties, analyze maln Ioading factors using principal component analysis, and estabIish muItipIe regression equation on fresh pod yield. [Met... Objective] The alm was to survey 10 characters of 8 fresh edibIe soy-bean varieties, analyze maln Ioading factors using principal component analysis, and estabIish muItipIe regression equation on fresh pod yield. [Methods] Through princi-pal component analysis on 10 characters of 8 fresh edibIe soybean varieties, char-acters reIated to fresh pod yield of fresh edibIe soybean were cIarified. [Results] Af-ter the principal components analysis, pod weight per pIant, 100-seed weight and pod number per pIant of fresh edibIe soybean were chosen to study their reIation with the yield of fresh edibIe soybean, moreover, it was demonstrated that the reIa-tion was Iinear reIation, thus it was suitabIe for muItivariate regression analysis. Fi-nal y, the mathematical expression formuIa about fresh pod yield was estabIished. [Conclusions] There were three characters affecting fresh pod yield, nameIy, pod weight per pIant, 100-seed weight and pod number per pIant, the mathematical equation was y=816.732+4.145X6-0.718X8-0.985X9 (X6: pod weight per pIant; X8: 100-seed weight; X9: pod number per pIant). 展开更多
关键词 Fresh edible soybean Fresh pod yleId Principal component analysis muitiple regresslon equatlon
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