1.新疆农业大学农学院/新疆作物生物育种重点实验室,乌鲁木齐830052;2.新疆维吾尔自治区标准化研究院,乌鲁木齐830052;3.新疆仟朵种植农民专业合作社联合社,沙湾 832100;4.沙湾市农业技术推广中心,新疆沙湾 832100
研究方向为棉花育种,E-mail:duxiao180260114@163.com
郑 凯,研究方向为棉花分子育种,E-mail:zhengkai555@126.com
国家科技创新2030-重大项目(2023ZD04041);新疆维吾尔自治区重大科技专项(2023A02003-4);2023年自治区首批产学协同育人项目(507390758);“天山英才”培养计划项目(2023TSYCLJ0012)
1.College of Agronomy, Xinjiang Agricultural University/Xinjiang Key Laboratory of Crop Biotechnology and Breeding, Urumqi 830052;2.Xinjiang Uyghur Autonomous Region Standardization Research Institute, Urumqi 830052;3.Xinjiang Qian Duo Planting Farmers' Specialized Cooperative Association, Shawan 832100;4.Shawan City Agricultural Technology Extension Center, Shawan 832100, Xinjiang
Foundation projects: National Science and Technology Innovation 2030-Major Projects(2023ZD04041);Major Science and Technology Special Projects in Xinjiang Uygur Autonomous Region(2023A02003-4);The First Batch of Industry-Academia Collaborative Education Programs in the Autonomous Region in 2023(507390758);"Tianshan Talents" Training Program Project(2023TSYCLJ0012)
为筛选适宜性较好的优质棉花品种,服务于生产。以24个早熟和早中熟陆地棉品种为材料,进行为期3年的品种比较试验,使用相关性、主成分、聚类、灰色关联度等方法进行分析。结果显示,3年误差项变异系数在0.21%~4.18%之间,2022年误差项变异系数相对较高,单株成铃数和单铃重变异程度最大;17对性状之间相关性达到显著水平,37对达到极显著水平,农艺性状与产量、纤维品质性状间相关性错综复杂,纤维品质性状内部相关性较为密切;提取到4个主成分,解释77.98%的变化率。以隶属函数、灰色关联模型和AHP模型为基础,提出一套资源综合评价体系,筛选得到金丰6号、J8031、新农大棉1号等综合品质较优品种,为生产中品种选择提供借鉴。分别在283份陆地棉资源群体和416份自育优良品系中验证综合评价体系,筛选得到A191、A110、Y228、Y210、Y297等优质材料和A241、A39、Y110、Y366、Y329等综合水平较差材料,经实际检验,评价结果与田间表现一致,证明评价体系具有进一步推广的基础。
To identify high-quality cotton varieties with superior agronomic performance, a three-year comparative trial was conducted using 24 early and early-mid maturing upland cotton varieties. Multiple statistical analysis, including correlation analysis, principal component analysis (PAC), clustering, and gray correlation analysis, were employed to evaluate phenotypic traits. The results show that the coefficient of 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 single boll weight. Trait association analysis revealed 17 significant and 37 highly significant correlations, suggesting complex interactions between agronomic traits, yield components, and fiber quality parameters. Fiber quality traits showed stronger inter-trait correlations than other trait combinations. PCA revealed four principal components accounting for 77.98% of the variability. Based on the affiliation function, gray correlation model and AHP model, an integrated evaluation system was developed. This system identified superior cultivars, such as Jinfeng 6, J8031, and Xinnongda Cotton 1, 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, high-quality materials such as A191, A110, Y228, Y210, and Y297 were identified, along with materials with poorer overall performance, including A241, A39, Y110, Y366, and Y329. Practical field tests confirmed that the evaluation results were consistent with the actual performance in the field, demonstrating that the evaluation system has a solid foundation for further promotion.
杜逍,郭文文,吴莹,等.基于品种比较试验建立陆地棉综合评价体系[J].植物遗传资源学报,2025,26(4):656-671.
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