| 【Objective】The purpose of this project was to provide theoretical basis and guidance information for the
selection of high-quality early-maturing upland cotton varieties.【Method】The software of Excel 2003 and SPSS19.0 were
used to conduct data statistics on the fiber quality traits and different growth stages of upland cotton varieties participating
in the regional test (early-maturing group) of Xinjiang Autonomous Region in 2015-2017, Statistical analysis methods
such as correlation analysis, path analysis and stepwise regression analysis were used to study on the relationship between
fiber quality traits and growth period, identify the important influencing factors and establish the optimal regression model.
【Results】Through the path analysis, it was concluded that there were strong indirect effects on uniformity of cotton fiber,
and direct effects on fiber length, fiber strength and micronaire value in the seedling-flowering stage. It had indirect effectson fiber length and elongation at flowering-toll opening stage. The results of stepwise regression analysis showed that the number
of days between seedling emergence and flowering had extremely significant positive effects on fiber length and elongation,
significant positive effects on fiber strength and significant negative effects on micronaire value, while a stepwise regression
model could be established, and the t test was significant.【Conclusion】The number of days from seedling emergence to
flowering had significant direct and indirect effects on fiber quality traits such as fiber length, fiber strength, micronaire value
and elongation. The number of days from flowering to boll opening had significant indirect effects on fiber length and elongation. |
