| 早熟陆地棉品种与气候因子互作对棉纤维品质的影响 |
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| 引用本文： | 马晓梅,李保成,王新,赵素琴,刘永昌,韩焕勇,周小凤,董承光.早熟陆地棉品种与气候因子互作对棉纤维品质的影响[J].新疆农业科学,2021,58(2):216-226. |
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| 作者姓名： | 马晓梅 李保成 王新 赵素琴 刘永昌 韩焕勇 周小凤 董承光 |
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| 作者单位： | 1.农业部西北内陆区棉花生物学与遗传育种重点实验室/新疆农垦科学院棉花研究所 ,新疆石河子 832000;2.新疆维吾尔自治区种子管理总站,乌鲁木齐 830006;3.湖南科技学院,湖南永州 425000 |
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| 基金项目： | 国家自然科学基金“转录因子GhZFP8在棉花纤维发育中的功能及分子机制研究”(31960439);兵团区域创新引导计划“早熟棉花芽黄突变材料的遗传及杂种优势利用研究”(2018BB038) |
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| 摘 要： | 【目的】研究早熟陆地棉品种与气候因子互作对棉纤维品质的影响,为选择品质优良的早熟陆地棉品种提供理论依据和指导信息。【方法】 采用EXCEL 2003和SPSS19.0软件,对参试品系3年的试验数据进行相关性和逐步回归分析,分析棉纤维品质性状与品种特性及气象因子间的相互关系,建立最优回归模型,研究关键影响因子。【结果】 出苗-开花期天数对绒长、伸长率有极显著作用,对马克隆值、断裂比强度存在显著作用;各棉纤维品质中,伸长率与纤维长度间存在直接作用,且呈极显著正相关;马克隆值与断裂比强度分别对断裂伸长率与纤维长度起间接作用,且作用显著,断裂比强度对整齐度起显著正效应;气象因子中,日温差对棉纤维品质指标中的纤维长度、马克隆值、断裂伸长率均呈显著负相关;≥10℃有效积温对断裂比强度起到显著正相关作用。相关性指标均可构建逐步回归方程,且t检验显著。【结论】 不同生育阶段,出苗-开花天数对纤维品质存在显著影响。各纤维品质指标间,纤维上半部平均长度与伸长率、马克隆值呈极显著相关;断裂比强度与伸长率呈极显著相关,马克隆值与纤维上半部平均长度呈极显著相关。各气象因子中,日温差越大,纤维长度、马克隆值、伸长率越低,≥10℃有效积温越高,断裂比强度越高。
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| 关 键 词： | 早熟陆地棉 纤维品质 生育期 气象因子 相关性分析 逐步回归分析 |
Interaction Effects of Early-maturing Upland Cotton Varieties and Meteorological Factors on Cotton Fiber Quality |
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| MA Xiaomei,LI Baocheng,WANG Xin,ZHAO Suqin,LIU Yongchang,HAN Huanyong,ZHOU Xiaofeng,DONG Chengguang.Interaction Effects of Early-maturing Upland Cotton Varieties and Meteorological Factors on Cotton Fiber Quality[J].Xinjiang Agricultural Sciences,2021,58(2):216-226. |
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| Authors: | MA Xiaomei LI Baocheng WANG Xin ZHAO Suqin LIU Yongchang HAN Huanyong ZHOU Xiaofeng DONG Chengguang |
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| Institution: | 1.Cotton Research Institute,Xinjiang Science Academy of Agriculture and Reclaimation/Northwest Inland Region Key Laboratory of Cotton Biology and Genetic Breeding, Ministry of Agriculture, Shihezi Xinjiang 832000, China;2.Seed Administration Bureau of Xinjiang,Urumqi 830006,China;3.HuNan University of Science and engineering,Yongzhou Hunan 425000,China |
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| Abstract: | 【Objective】 The purpose of this project was to provide guidance information for selecting reference for early-maturing upland cotton varieties breeding in Xinjiang.【Method】The software of EXCEL 2003 and SPSS19.0 were used to analyze the correlation and stepwise regression of three years' experimental data of the tested strain, analyze the interrelationship between cotton fiber quality traits, variety characteristics and meteorological factors, and establish the optimal regression model to identify the key influencing factors. 【Results】The number of days between seedling emergence and flowering had a very significant effect on the fiber length and elongation, but significant effect on the micronaire value and the fiber strength; in the quality of cotton fibers, there is a direct effect between the elongation and the fiber length, and there is a very significant positively ; correlation;micronaire value and fiber strength have indirect and significant cffects on elongation and fiber length,and fiber strength has significant positive effects on uniformity. Among the meteorological factors , the diurnal temperature range showed a signigicant negative correlation with the fiber length ,micronaire value and elongation in the cotton fiber quality index.Active accumulated temperature above 10℃ has a significant positive correlation with fiber strength.The above correlation indexes can be used to construct the stepwise regression equation,and the t-test is significant.【Conclusion】In the growth period, the number of days from seeding emergence to flowering had significant influence on the fiber quality. Among the fiber quality indexes, the average length of the upper part of the fiber was significantly correlated with the elongation and the micronaire value, the fiber strength was significantly correlated with the elongation and the micronaire value was significantly correlated with the average length of the upper part of the fiber .All of the meteorological factors,the larger the diurnal temperature rang may lead to the lower the fiber length, micronaire value and elongation, the higher active accumulated temperature above 10℃, and the higher fiber strength. |
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| Keywords: | early-maturing upland cotton cotton fiber quality growth period meteorological factor correlation analysis stepwise analysis |
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