基于品种比较试验建立陆地棉综合评价体系

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Abstract：To identify high-quality cotton varieties with superior agronomicperformance，a three-year comparative trial was conductedusing 24 early and early-mid maturing uplandcoton varieties.Multiple statistical analysis，including correlation analysis，principal component analysis （PAC），clustering，and gray corelation analysis，were employed to evaluate phenotypic traits.The results show that the coefficientof variation across the three years study ranged from 0.21% to 4.18% ，with 2022 exhibiting the highest variability， particularly in the number of bolls per plant and singleboll weight.Trait assciation analysis revealed 17 significantand 37 highlysignificant correlations，suggestingcomplex interactions between agronomic traits， yield components，and fiberquality parameters.Fiber quality traits showed stronger inter-traitcorelations than other trait combinations.PCA revealed four principal components accounting for 77.98% of the variability. Based on the afiliation function，gray correlation model and AHP model，an integrated evaluation system was developed.This systemidentified superiorcultivars，suchas Jinfeng6，J8031，and Xinnongda Coton1，based on their comprehensive performance metrics.The comprehensive evaluation system was validated within a panel of 283 upland cotton germplasm resources and 416 self-bred elite lines.Through this screening process，highquality materials such as A191，A110，Y228，Y210，and Y297 were identified，along with materials with pooreroverallperformance，including A241，A39，Y110，Y366，andY329.Practical field tests confirmed that theevaluation results were consistent with the actual performance in the field，demonstrating thatthe evaluation system has asolid foundation for further promotion.

Key words： Gossypium hirsutum L.；genetic resources；comprehensive evaluation system； principal component analysis;gray correlation analysis

新疆棉花的生产在我国整个棉花产业的发展中扮演着不可或缺且无可替代的重要角色。（剩余18796字）