| 燕麦农艺性状与产量多元回归分析 |
| |
| 引用本文： | 梁万鹏,窦晓利,韩庆辉,张金霞. 燕麦农艺性状与产量多元回归分析[J]. 中国牛业科学, 2023, 49(5): 12-17 |
| |
| 作者姓名： | 梁万鹏 窦晓利 韩庆辉 张金霞 |
| |
| 作者单位： | 甘肃省庆阳市农业科学研究院,甘肃省农科院畜草与绿色农业研究所,北京佰青源畜牧业科技发展有限公司,庆阳市农业科学研究院 |
| |
| 基金项目： | 2021现代丝路寒旱农业科技支撑计划（项目编号：GSLK-2021-5）课题：草畜生态循环生产技术示范；甘肃省农业科学院“三百”行动增产增收计划（项目编号：2017GAAS-SBXD06）。 |
| |
| 摘 要： | 为了筛选出适应旱作农业区推广的燕麦(Avena sativa L.)品种，对引进的3个燕麦品种进行生产能力测定。对影响燕麦产量的指标间采用多元线性回归分析法建立多元线性回归方程。结果表明，燕麦产量的最优回归方程为：y=17.923+247.222x1+8.274x3+127.316x7-12.463x10,从相关系数大小得知，影响大小次序为：品种>株高>茎节数>小穗数。最优回归方程表明：燕麦的产量与其株高(x3)、茎节数(x7)、品种(x1)、小穗数(x10)密切相关。
|
| 关 键 词： | 燕麦 多元线性回归分析 产量 |
| 收稿时间： | 2023-05-09 |
| 修稿时间： | 2023-05-09 |
Multiple regression analysis of agronomic characters and yield of Oat |
| |
| Affiliation: | Qingyang Institute of Agricultural Sciences of Gansu Province,Qingyang Gansu 745000,,, |
| |
| Abstract: | In order to screen out Avena sativa L. varieties suitable for promotion in dry farming area, the production capacity of three introduced oat varieties were determined. The multiple linear regression equation was established by the multiple linear regression analysis method among the indexes affecting oat yield. The results showed that the optimal regression equation of oat yield was y=17.923+247.222x1+8.274x3+127.316x7-12.463x10, According to the correlation coefficient, the order of influence was variety > plant height > number of stem nodes > number of spikelets. The optimal regression equation showed that the yield of oat was closely related to plant height (x3), number of stem nodes (x7), variety (x1) and spikelet number (x10). |
| |
| Keywords: | Oat Multiple linear regression analysis Yield |
|
| 点击此处可从《中国牛业科学》浏览原始摘要信息 |
|
点击此处可从《中国牛业科学》下载免费的PDF全文 |
|
