| 藜麦主要农艺性状与单株产量的相关和通径分析 |
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| 引用本文： | 王艳青,李勇军,李春花,卢文洁,孙道旺,尹桂芳,洪波,王莉花.藜麦主要农艺性状与单株产量的相关和通径分析[J].作物杂志,2019,35(6):156-37. |
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| 作者姓名： | 王艳青 李勇军 李春花 卢文洁 孙道旺 尹桂芳 洪波 王莉花 |
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| 作者单位： | 1云南省农业科学院生物技术与种质资源研究所/云南省农业生物技术重点实验室/农业农村部西南作物基因资源与种质创制重点实验室,650205,云南昆明2会泽县宝云街道农业技术推广站,654200,云南会泽 |
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| 基金项目： | 国家农业部作物种质资源保护子项目(2016NWB030-06-01-5);国家农业部作物种质资源保护子项目(2018NWB030-06-01-3);云南省农业科学院专项(2017yb26402) |
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| 摘 要： | 为探究藜麦主要农艺性状对单株产量的作用,对10个藜麦新品系的7个主要农艺性状（生育期、株高、茎粗、主茎分枝数、主花序长、主花序分枝数、千粒重）与单株产量进行相关性、多元线性回归和通径分析。结果表明,株高和茎粗与藜麦单株产量呈极显著正偏相关;7个农艺性状可以解释51.60%藜麦单株产量的变异,株高（X2）和茎粗（X3）可以解释48.20%藜麦单株产量的变异,最优回归方程为Y=-102.340+1.040X2+3.257X3;株高和茎粗对藜麦单株产量的直接影响最大。因此,在适宜种植密度基础上,将适当提高株高和茎粗作为云南昆明及周边地区高产藜麦选育的方向。
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| 关 键 词： | 藜麦 单株产量 农艺性状 相关分析 通径分析 |
| 收稿时间： | 2019-04-11 |
Correlation and Path Analysis of the Main Agronomic Traits and Yield per Plant of Quinoa |
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| Wang Yanqing,Li Yongjun,Li Chunhua,Lu Wenjie,Sun Daowang,Yin Guifang,Hong Bo,Wang Lihua.Correlation and Path Analysis of the Main Agronomic Traits and Yield per Plant of Quinoa[J].Crops,2019,35(6):156-37. |
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| Authors: | Wang Yanqing Li Yongjun Li Chunhua Lu Wenjie Sun Daowang Yin Guifang Hong Bo Wang Lihua |
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| Institution: | 1Biotechnology and Germplasm Resources Institute, Yunnan Academy of Agricultural Sciences/Yunnan Provincial Key Laboratory of Agricultural Biotechnology/Key Laboratory of Southwestern Crop Gene Resources and Germplasm Innovation, Ministry of Agriculture and Rural Affairs, Kunming 650205, Yunnan, China2Baoyun Station for Popularizing Agricultural Technique, Huize 654200, Yunnan, China |
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| Abstract: | Using correlation, multiple linear regression and path analysis, seven main agronomic traits including growth period, plant height, stem diameter, main stem branching number, main inflorescence length, main inflorescence branching number and 1000-grain weight, were analyzed with yield per plant in 10 new quinoa (chenopodium quinoa) strains. The results showed that plant height, stem diameter and yield per plant were significantly positive and partial correlation. The seven agronomic traits could explain 51.60% variation of the yield per plant. The plant height (X2) and stem diameter (X3) of quinoa could explain 48.20% variation of the yield per plant (Y). The optimal regression equation was Y=-102.340+1.040X2+3.257X3. The yield per plant was directly affected more by the plant height and stem diameter of quinoa. Therefore, on the basis of suitable planting density, proper increase in stem diameter and plant height can help the selection of high yield quinoa in Kunming and surrounding areas. |
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| Keywords: | Quinoa Yield per plant Agronomic trait Correlation analysis Path analysis |
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