基于响应曲面法确定水培大麦饲草高产优质的氮磷钾养分投入量  

Determination of optimal input levels of nitrogen,phosphorus and potassium for high yield and quality of hydroponic barley forage based on response surface methodology

作　　者：侯铭辉 孙延亮 杨开鑫 齐军仓[2] 张前兵[1] HOU Ming-hui;SUN Yan-liang;YANG Kai-xin;QI Jun-cang;ZHANG Qian-bing(College of Animal Science&Technology,Shihezi University,Shihezi 832003,China;College of Agriculture,Shihezi University,Shihezi 832003,China)

机构地区：[1]石河子大学动物科技学院,新疆石河子832003 [2]石河子大学农学院,新疆石河子832003

出　　处：《草业学报》2024年第11期172-185,共14页Acta Prataculturae Sinica

基　　金：新疆维吾尔自治区重点研发任务专项(2022B02003);国家现代农业产业技术体系资助。

摘　　要：通过分析不同氮磷钾水平对大麦饲草鲜草产量和粗蛋白的影响,筛选适合水培大麦饲草的最优氮磷钾水平,以期为该资源的合理利用提供理论依据及数据参考。通过单因素试验确定氮添加量A、磷添加量B和钾添加量C的取值范围,并采用响应曲面优化法构建一个二次多项式回归模型,通过中心复合旋转设计在水培过程中添加不同水平的氮磷钾,其中氮添加量是3.30、5.00、7.50、10.00和11.70 mmol·L^(-1),磷添加量是0.66、1.00、1.50、2.00和2.34 mmol·L^(-1),钾添加量是1.98、3.00、4.50、6.00和7.02 mmol·L^(-1),选择鲜草产量和粗蛋白含量为优化目标。结果表明:鲜草产量和粗蛋白含量之间的二次多项式影响均极显著(P<0.01),决定系数都为0.97。其中,钾对鲜草产量的曲面效应影响极显著(P<0.01),氮和钾的交互作用对鲜草产量的曲面效应影响极显著(P<0.01),磷和钾的交互作用对鲜草产量的曲面效应影响显著(P<0.05)。氮钾和磷钾对粗蛋白的曲面效应影响极显著(P<0.01)。在氮添加量为9.19 mmol·L^(-1),磷添加量为1.08 mmol·L^(-1),钾添加量为3.99 mmol·L^(-1)时,响应曲面优化结果最好,鲜草产量预测值可达到12.07 kg·plate^(-1),粗蛋白含量预测值可达到19.35%DM,在此条件下,水培大麦饲草鲜草产量和粗蛋白含量均达到最优。By analyzing the effects of different levels of nitrogen,phosphorus and potassium on the fresh grass yield and crude protein of barley forage,the optimal levels of nitrogen,phosphorus and potassium suitable for hydroponic cultivation of barley forage were identified,with a view to providing a theoretical basis and data reference for the optimal use of this resource.The range of values of nitrogen addition,phosphorus addition and potassium addition were determined by a single-factor experiment,a quadratic polynomial regression model was constructed by the response surface optimization method,and different levels of nitrogen,phosphorus and potassium were added in hydroponic cultivation through a central composite rotational design.The nitrogen addition rates were 3.30,5.00,7.50,10.00 and 11.70 mmol·L^(-1);the phosphorus addition rates were 0.66,1.00,1.50,2.00 and 2.34 mmol·L^(-1),the potassium addition rates were 1.98,3.00,4.50,6.00 and 7.02 mmol·L^(-1),and fresh grass yield and crude protein content were selected as the optimization criteria.It was found that the quadratic effects of fresh grass yield and crude protein content were extremely significant(P<0.01),with determination coefficients of 0.97;the surface effect of potassium on fresh yield was extremely significant(P<0.01).The interaction effect of nitrogen and potassium on fresh yield was extremely significant(P<0.01),while the interaction between phosphorus and potassium on fresh yield was also significant(P<0.05).The response surface effects of nitrogen-potassium and phosphorus-potassium on crude protein content were extremely significant(P<0.01).The response surface indicated the optimal combination of the three nutrients was nitrogen addition of 9.19 mmol·L^(-1),phosphorus addition of 1.08 mmol·L^(-1),and potassium addition of 3.99 mmol·L^(-1).At this nutrient combination,the modeled fresh yield was maximized at 12.07 kg·plate^(-1),and the predicted crude protein content was 19.35%DM.

关 键 词：水培 大麦饲草 鲜草产量 粗蛋白 响应曲面分析 

分 类 号：S512.32[农业科学—作物学]