早熟陆地棉品种叶片形态学指标与脱叶规律相关性分析

【目的】 研究早熟陆地棉品种叶片形态学指标与药剂脱叶效果的相关性,为选择脱叶效果优良的早熟机采棉品种提供理论依据。【方法】 采用EXCEL 2007、ORIGIN和SPSS21.0软件对参试品系试验数据进行多重比较、相关性分析和多元线性回归分析,分析不同品种在不同冠层条件下叶片表型性状与单株叶片脱叶率的关系,研究不同类型叶片脱叶规律,分析影响单株叶片脱落率的影响因素。【结果】 不同品种间,主茎叶、果枝叶、叶枝叶脱落率差异显著;主茎叶数量与主茎叶脱落率呈极显著负相关,其他类型叶片数量及叶片表型性状与脱落率相关性不显著;主茎叶最快响应脱叶剂作用,叶枝叶响应最慢;果枝叶的脱叶峰值出现在脱叶中期,叶枝叶和主茎叶的脱叶峰值均出现在脱叶后期;主茎叶脱叶速度变化较稳定,可拟合回归方程Y=0.101-0.804X₁-0.663X₂(R²=0.740,P<0.01);果枝叶脱叶速度主要以“慢-快-慢”的趋势脱叶,拟合回归方程Y=0.110-0.686X₁-0.789X₂(R²=0.887,P<0.01);叶枝叶脱叶速度变化不稳定,不可拟合方程关。【结论】 棉花单株脱叶率与主茎叶叶片数呈极显著负相关;叶枝叶是影响脱叶效果的重要因素;主茎叶、果枝叶的脱叶速度受品种本身特性影响较大,具有一定可预测性,可拟合方程;叶枝叶脱叶速度除了受品种本身影响外,还受其他因素影响,不可拟合方程。

Correlation between Leaf Morphological Indexes and Defoliation Regularity of Early-maturing Upland Cotton Varieties

【Objective】 The aim of this study is to provide a theoretical basis for selecting early-maturing machine-picked cotton varieties with excellent defoliation effect.【Method】 Multiple linear regression analyses, correlation analysis, and other comparisons were executed on experimental data using EXCEL 2007, ORIGIN and SPSS21.0 software. Phenotypic traits of different types of leaves and various individual plants under different canopy conditions were studied. The relationship between the leaf shedding rate of different types of leaves was clarified by regression analysis, and the important factors affecting the leaf shedding rate of a single plant were found. 【Results】 The abscission rate of main stem leaf, fruit spur leaf and leafy shoot leaf was significantly different among different cultivars.There was a significant negative correlation between the number of main stem leaf and abscission rate, but no significant correlation between the number of other types of leaves and leaf phenotypic traits and abscission rate.The main stem leaf had the fastest response to defoliating agent, while the leaf of leafy shoot had the slowest response.The peak of defoliation of fruit spur leaf appeared in the middle defoliation, and the peak of defoliation of main stem leaf and the leaf of leafy shoot appeared in the late defoliation. The defoliation rate of main stem leaf was stable, and the fitting regression equation was Y=0.101-0.804X₁-0.663X₂ (R²=0.740, P < 0.01).The defoliation rate of fruit spur leaf showed a slow-fast-slow trend, and the fitting regression equation was Y=0.110-0.686X₁-0.789 X₂(R²=0.887, P < 0.01). The leaf of leafy shoot could not be fitted to the equation.【Conclusion】 The defoliation rate per plant is negatively correlated with the number of leaves in the main stem. The leaf of leafy shoot is important factors in defoliation effect.The defoliation rate of the main stem leaf and the leaf of fruit spur was greatly affected by the characteristics of the variety itself, which had predictability and could be fitted with the equation.The defoliation rate of the leaf of leafy shoot is not only affected by the variety itself, but also by other factors, so the equation cannot be fitted.