| 新疆棉花生产品种机采农艺性状分析 |
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| 引用本文： | 张哲,热比耶 ,玉荪,买买提 ,莫明,吾买尔江 ,库尔班,艾先涛,高山.新疆棉花生产品种机采农艺性状分析[J].新疆农业科学,2022,59(5):1084-1092. |
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| 作者姓名： | 张哲 热比耶 玉荪 买买提 莫明 吾买尔江 库尔班 艾先涛 高山 |
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| 作者单位： | 1.塔里木大学农学院,新疆阿拉尔 8433002.新疆农业大学农学院,乌鲁木齐 8300523.新疆农业科学院经济作物研究所,乌鲁木齐 8300914.新疆农业科学院库车陆地棉试验站,新疆库车 842000 |
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| 基金项目： | 自治区科技援疆项目“新疆棉花品种DNA身份鉴定体系构建与应用研究”(2020E02097);自治区重点领域科技攻关项目“超高产棉花群体创建及调控研究”(1217088/19);新疆农业科学院科技创新重点培育专项“新疆机采棉高产优质分子设计育种技术体系研究”(XJKCPY-2021005) |
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| 摘 要： | 【目的】通过对新疆棉花主推品种的机采农艺性状研究,筛选出适宜机械化采收的品种类型。【方法】对100个新疆棉花生产品种的12个农艺性状进行变异、相关性、主成分和聚类分析。【结果】12个农艺性状中变异大于10%有7个性状,分别为叶枝(64.0%)、吐絮铃数(25.8%)、上部果枝第1果节长度(20.2%)、吐絮率(17.1%)、中部果枝第1果节长度(16.8%)、单株结铃数(16.0%)和果枝始节高度(11.5%)。生育期与株高呈显著正相关,与单株结铃数、吐絮铃数呈极显著负相关。株高与果枝数、果枝始节高度和单株结铃数呈极显著正相关。果枝(中部夹角,下同)夹角与中部果枝第1果节长度呈极显著正相关,与吐絮铃数呈显著负相关。果枝始节与果枝始节高度呈极显著正相关,与吐絮率呈极显著负相关。叶枝与上部果枝第1果节长度呈极显著正相关。5个主成分累计贡献率达到81.15%,主要和生育期、株高、果枝夹角、果枝始节高度、果枝始节有关。将100个棉花品种在遗传距离为44.0时划分为7类,初步筛选出第二类群中的11个品种更符合机采品种性状要求。【结论】筛选出11个更适宜机采的棉花品种。
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| 关 键 词： | 棉花 机采 农艺性状 主成分分析 聚类分析 |
| 收稿时间： | 2021-11-27 |
Analysis of Agronomic Characters of Cotton Varieties in Xinjiang |
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| ZHANG Zhe,Rebiye Yusun,Maimaiti Moming,Wumaierjiang Kurban,AI Xiantao,GAO Shan.Analysis of Agronomic Characters of Cotton Varieties in Xinjiang[J].Xinjiang Agricultural Sciences,2022,59(5):1084-1092. |
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| Authors: | ZHANG Zhe Rebiye Yusun Maimaiti Moming Wumaierjiang Kurban AI Xiantao GAO Shan |
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| Institution: | 1. College of Agronomy, Tarim University, Alar Xinjiang 843300, China2. College of Agronomy, Xinjiang Agricultural University, Urumqi 830052, China3. Institute of Cash Crops, Xinjiang Academy of Agricultural Sciences, Urumqi 830091, China4. Kuqa Upland Cotton Test Station, Xinjiang Academy of Agricultural Sciences, Kuqa Xinjiang 842000, China |
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| Abstract: | 【Objective】 This project aims to select varieties suitable for mechanized harvesting through the study on the agronomic characters of the main cotton varieties in Xinjiang. 【Methods】 The variation, correlation, principal component and cluster analysis of 12 agronomic characters of 100 cotton varieties in Xinjiang were carried out. 【Results】 Analysis of variation found that among the 12 agronomic traits, there were 7 traits with variation greater than 10%, whose leaf branches were (64.0%), boll number (25.8%), length of the first fruit node of the upper fruit branch (20.2%), boll rate (17.1%), length of the first fruit node of the middle fruit branch (16.8%), boll number per plant (16.0%) and height of the first fruit node of the fruit branch (11.5%). Correlation analysis showed that there was a significant positive correlation between growth period and plant height, and a very significant negative correlation with the number of bolls per plant and the number of bolls. The plant height was positively correlated with the number of fruit branches, the height of the initial node of fruit branches and the number of bolls per plant. The included angle of fruit branch (middle included angle, the same as below) was positively correlated with the length of the first fruit node of the middle fruit branch, and negatively correlated with the number of bolls. There was a very significant positive correlation between the initial node of fruit branch and the height of initial node of fruit branch, and a very significant negative correlation with boll opening rate. There was a very significant positive correlation between the length of the first fruit node of the leaf branch and the upper fruit branch. Principal component analysis showed that the cumulative contribution rate of the five principal components reached 81.15%, which was mainly related to the growth period, plant height, fruit branch angle, fruit branch initial node height and fruit branch initial node. Cluster analysis showed that 100 cotton varieties were divided into 7 categories when the genetic distance was 44.0, and 11 varieties in the second group were preliminarily screened, which were more in line with the character requirements of mechanically harvested varieties. 【Conclusion】 Through the comprehensive analysis of some phenotypic characters of machine-picked cotton, this paper evaluates the varieties popularized and applied in production, and 11 cotton varieties more suitable for machine picking are preliminarily selected, which provides enlightenment and reference for the improvement of agronomic characters of machine-picked cotton. |
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| Keywords: | cotton machine-picked cotton agronomic characters principal component analysis cluster analysis |
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