期刊文献+

玉米脱粒破碎率关键影响因子及其最优预测模型研究 被引量:4

Factors Influencing the Broken Rates of Kernels under Mechanical Shelling and the Optimum Predicting Model to Estimate Broken Rates in Maize
原文传递
导出
摘要 子粒破碎率高是当前中国玉米机械收获子粒的重要限制因素,解析破碎率变化原因,建立其简便预测模型是需要解决的重要问题。本文采集7个玉米品种在3个种植密度下组合的果穗,在不同子粒含水率梯度条件下开展单穗脱粒试验。种植密度在6万~9万株/hm^2范围内对子粒破碎率没有影响,品种、子粒的含水率、抗侧压碎力和穿刺强度等的影响均达到统计显著水平。品种对破碎率变化的偏贡献率为12.7%,且品种的偏贡献率<子粒含水率的偏贡献率<抗侧压碎力的偏贡献率<穿刺强度的偏贡献率,种植密度的偏贡献率接近于零。破碎率的最优预测因子是穿刺强度,预测模型:破碎率=10.25×0.990穿刺强度,满足破碎率不高于5%约束的穿刺强度值不得低于60 MPa。研究结果可为玉米破碎率预测、宜机收玉米新品种培育与鉴定、脱粒机具设计与制造提供数据支撑和技术参考。 High broken rates of machine-harvested kernels are one of the most important limiting factors for maize product quality in China.This paper aimed at evaluating biophysical factors influencing the broken rates of kernels under mechanical shelling and building single factor models for the prediction of broken rates.Ears with an assign set of different moisture levels,from 7 maize cultivars grown at 3 plant densities,were subject to shelling tests using the same machine.Plant densities from 60000 to 90000 plant/ha didn’t influence broken rates,but maize cultivar,kernel moisture,kernel side crushing forces,and kernel puncture strength did at statistically signifi⁃cant levels.In respect of effect sizes of different factors for broken rates,the total contribution of maize cultivars was smaller than that of kernel moisture to variations in kernel broken rates.Kernel moisture contributed less than both of side crushing forces and puncture strength,and side crushing forces did less than puncture strength.The contribu⁃tion of plant densities to broken rate variation was close to zero.Kernel puncture strength was the optimum predictor to estimate broken rates,their relation reads as:broken rate=10.25*0.990(puncture strength).Value 60 MPa of puncture strength is a lower limit to reach a broken rate of no more than 5%.To sum up,t kernel strength affected kernel bro⁃ken rate more than cultivar did,and plant density didn’t.The study provides useful information and an approach for broken rate estimation,screening of new maize cultivars suitable to mechanical kernel harvesting,shelling machine design,and manufacture.
作者 姜春雨 李银昌 杨锦忠 朱如华 丁山 宋朝玉 王圣健 JIANG Chun-yu;LI Yin-chang;YANG Jin-zhong;ZHU Ru-hua;DING Shan;SONG Zhao-yu;WANG Sheng-jian(Agronomy College,Qingdao Agricultural University,Qingdao 266109;Qingdao Academy of Agricultural Sciences,Qingdao 266071,China)
出处 《玉米科学》 CAS CSCD 北大核心 2020年第3期142-147,共6页 Journal of Maize Sciences
基金 国家重点研发计划项目(2016YFD0300306)。
关键词 玉米 子粒破碎率 子粒机械收获 子粒含水率 子粒力学特性 Maize Kernel broken rate Mechanical kernel harvesting Kernel moisture Kernel mechanical trait
  • 相关文献

参考文献5

二级参考文献42

  • 1周旭,李心平,高连兴,刘明国.两种脱粒滚筒的玉米籽粒损伤试验研究[J].沈阳农业大学学报,2005,36(6):756-758. 被引量:30
  • 2吴多峰,许峰,袁长胜.板齿式与钉齿式玉米脱粒机的性能比较[J].农机化研究,2006,28(10):78-80. 被引量:19
  • 3赵作善.试验设计(第2版)[M].北京:中国农业大学出版社,1998.15-17.
  • 4阎洪余.试论玉米收获机收获损失的原因.中国农业学会收获加工机械分会第五届学术研讨会论文集[M].-,1993,10..
  • 5吉林工业大学.国外收获机械(2)[M].北京:科学技术文献出版社,1988.13-19.
  • 6茆诗松.统计手册[M].北京:科学出版社,2001.
  • 7李心平,高连兴,马福丽,于玉真,张永丽.玉米种子籽粒冲击损伤的试验[J].沈阳农业大学学报,2007,38(1):89-93. 被引量:31
  • 8Nieuwenhuis S, Forstmann B U, Wagenmakers E J. Erroneous analyses of interactions in neuroscience: a problem of significance[J]. Nature Neuroscience, 2011, 14:1105-1107.
  • 9Koenker R, Bassett J G. Regression quantiles [J]. Econometric, 1978, 46: 33-50.
  • 10Koenker R, Portnoy S, Tian P, et al. Quantreg: Quantile Regression [M]. R package version 5. New York: Cambridge University Press, 2013.

共引文献226

同被引文献70

引证文献4

二级引证文献11

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部