The yield characters and quality characters of several new cotton varieties in the mid-south area of Hebei Province were comprehensively evaluated in this pa- per. In different ecological environments, the single-boll...The yield characters and quality characters of several new cotton varieties in the mid-south area of Hebei Province were comprehensively evaluated in this pa- per. In different ecological environments, the single-boll weight of tested cotton vari- eties had the biggest variation coefficient among yield characters and micronaire value had the biggest variation coefficient among fiber quality characters. Path analy- sis indicated that the direct path coefficients of various characters had the flowing order, lint percentage〉 number of bolls per plant〉 single-boll weight〉 seed index among yield components and uniformity index 〉 fiber specific strength〉 micronaire value〉 elongation rate〉 upper half staple length among fiber quality characters. Principal component analysis indicated that the top three principal components contributed 8.263% of accumulated variance, basically reflecting the vast majority of informations of 10 main characters in tested cotton varieties.展开更多
基金Supported by Project of Cotton Industry Technology System in Hebei of National Science-technology Support Plan(2009BADA3B01)~~
文摘The yield characters and quality characters of several new cotton varieties in the mid-south area of Hebei Province were comprehensively evaluated in this pa- per. In different ecological environments, the single-boll weight of tested cotton vari- eties had the biggest variation coefficient among yield characters and micronaire value had the biggest variation coefficient among fiber quality characters. Path analy- sis indicated that the direct path coefficients of various characters had the flowing order, lint percentage〉 number of bolls per plant〉 single-boll weight〉 seed index among yield components and uniformity index 〉 fiber specific strength〉 micronaire value〉 elongation rate〉 upper half staple length among fiber quality characters. Principal component analysis indicated that the top three principal components contributed 8.263% of accumulated variance, basically reflecting the vast majority of informations of 10 main characters in tested cotton varieties.
