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种植密度对晋北区绿豆农艺性状及产量的影响

Effects of Planting Density on Agronomic Traits and Yield of Mung Bean in North Shanxi Province

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【作者】 殷丽丽邢宝龙陈晓亮

【Author】 YIN Lili;XING Baolong;CHEN Xiaoliang;Protected Agricultural Technology Development Center, College of Life Science, Shanxi Datong University;Institute of the Crops in High Latitude & Cold Climate Area, Shanxi Academy of Agricultural Sciences;School of Medicine, Shanxi Datong University;

【通讯作者】 邢宝龙;

【机构】 山西大同大学生命科学学院设施农业技术研发中心山西省农业科学院高寒区作物研究所山西大同大学医学院

【摘要】 为了探讨晋北地区不同种植密度对春播绿豆产量的影响,以晋绿豆9号为试材,对6种种植密度下绿豆的农艺性状及产量进行分析。结果表明:随种植密度的增加,株高和产量均呈先增加后降低的趋势,分枝数、主茎节数、单株荚数、单株粒数、单株粒重均呈下降趋势,千粒重变化不显著;相关性分析及通径分析表明,绿豆的产量与分枝数、单株粒数和单株粒重呈显著正相关,在适宜的种植密度下,适当提高分枝数和单株粒数,可提高绿豆产量;通过曲线估计得到绿豆种植密度与产量关系的最佳预测模型为二次曲线模型y=246.23+169.66x-5.67x2,最适理论种植密度为14.96万株·hm-2,产量为1 515.37 kg·hm-2

【Abstract】 To investigate a suitable sowing density and evaluate the effects of densitieson mung bean in north Shanxi province, agronomic characters, and yield of Jinlyudou 9 under six different planting densities were investigated and analyzed.The results showed that: plant height and yield displayed an increased trend first and then decreased with the increase of planting densities. Branch number, number of nodes, pods number per plant, grain number per plant and grain weight per plant showed decreased trend, and 1 000-grains weight was not significantly changed. Correlation and path analysis showed that yield was positively correlated to branch number, grain number per plant and grain weight per plant. Under the suitable planting density, increasing the branch number and grain number per plant could appropriately improve production. The optimal prediction model for the relationship between planting density and yield was y=246.23+169.66x-5.67x2. The optimum planting density was 14.96×104 plants·hm-2 and the yield was 1 515.37 kg·hm-2.

【基金】 国家现代农业产业技术体系专项(CARS-08-Z5);山西省应用基础研究计划项目(201901D211427);山西省高等学校科技创新项目(2020L0494);山西大同大学博士科研启动费资助项目(2018-B-16);山西省重点研发计划重点项目(201703D211002-8-1)
  • 【文献出处】 中国农业科技导报 ,Journal of Agricultural Science and Technology , 编辑部邮箱 ,2020年07期
  • 【分类号】S522
  • 【被引频次】2
  • 【下载频次】176
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