摘要
采用完全随机区组试验设计,以河曲大红黍为材料,设定6个密度处理,研究不同种植密度对糜子的株高、茎粗、分蘖数等形态指标,单株叶面积、叶绿素相对值、光合速率等光合指标,干物质积累量,产量构成因素及产量的影响;运用非线性回归分析的方法,对密度与作物产量的经验模型进行模拟。结果表明:种植密度超过一定范围值时,随着密度的增加,株高增大,茎粗变细,分蘖数减少和光合生理指标均降低,穗重、穗粒重和有效穗粒数逐渐减少,干物质积累量减少,产量降低;产量随着种植密度增加呈先升后降的趋势,二次曲线模型的方程式为Y=176.78471+11.51879X-1.29607X2,理论最适密度范围为4万株/666.7m2—5万株/666.7m2。
For scientifically forecasting the suitable planting density of the Broomcorn millet,the mathematical prediction model for forecasting the Broomcorn millet planting density and grain yield was explored. Hequ ＇s red Broomcorn millet was used as the studied material,and six planting densities traits were set to probe the effects of different planting densities on morphological indices（ plant height,stem diameter,tiller number）,photosynthetic indices（ leaf area per plant,relative content of chlorophyll,photosynthetic rate）,dry matter,yield and yield components through completely randomized block design. Experience model with density and crop yield was simulated by nonlinear regression analysis. The results showed that with the increase of plant density,plant height increased,stem became thin,tiller number declined and the photosynthetic indices were decreased,ear weight,grain weight of spike and effective grain number of spike were gradually reduced,the dry matter accumulation and the yields decreased. The trend of Broomcorn millet grain yield with planting density increase was firstly increased then decreased,equation of quadratic curve model was Y = 176. 78471 ＋ 11. 51879X- 1. 29607X2,theoretically optimum density range from 40000 plants / 666. 7m2- 50000 plants / 666. 7m2.
出处
《干旱区资源与环境》
CSSCI
CSCD
北大核心
2015年第5期127-131,共5页
Journal of Arid Land Resources and Environment
基金
现代农业产业技术体系建设专项资金(CARS-07-12.5-A12)资助
关键词
种植密度
糜子
产量
预测模型
planting density Broomcorn millet yield prediction model
