摘要
本研究采用“3414”肥料效应田间试验,旨在确定四川盆地中部资中县水稻的最佳施肥量,并构建高产施肥模型。通过设置氮、磷、钾3因素,每个因素4个水平,共14个处理,每个处理重复3次。结果表明:建立的三元二次肥料效应回归方程的相关系数(R^(2))为0.976。纯氮施用量为215.28 kg/hm^(2),五氧化二磷施用量为101.40 kg/hm^(2),氧化钾施用量为104.14 kg/hm^(2),水稻最大产量为7923.56 kg/hm^(2);纯氮最佳施用量为196.83 kg/hm^(2),五氧化二磷施用量为74.81 kg/hm^(2),氧化钾施用量为102.90 kg/hm^(2),水稻最佳产量为7867.96 kg/hm^(2)。建立的肥料效应模型可在四川盆地中部类似水稻产区推广,用于水稻生产上对施肥量的预测。
To obtain the optimal fertilization amount for rice in central Sichuan Basin,the‘3414’fertilizer effect field experiment was conducted to establish a high-yield fertilizer model and provide a precise fertilization scheme for rice production in Zizhong County.Three factors of nitrogen,phosphorus and potassium fertilizers were set up,with four levels for each factor.There were a total of 14 treatments,and each treatment was repeated three times.The results showed that the correlation coefficient(R^(2))of the established ternary quadratic fertilizer effect regression equation was 0.976.The maximum yield of rice was 7923.56 kg/hm^(2)with 215.28 kg/hm^(2)of pure nitrogen application,101.40 kg/hm^(2)of phosphorus pentoxide and 104.14 kg/hm^(2)of potassium oxide application.The optimal application of pure nitrogen was 196.83 kg/hm^(2),phosphorus pentoxide 74.81 kg/hm^(2),potassium oxide 102.90 kg/hm^(2),and the optimal yield of rice was 7867.96 kg/hm^(2).The established fertilizer effect model can be extended to similar rice producing areas in the central Sichuan Basin for predicting fertilizer application in rice production.
作者
姚莉
蔡红梅
王宏
刘海涛
蔡恺
吴月颖
张奇
林超文
YAO Li;CAI Hongmei;WANG Hong;LIU Haitao;CAI Kai;WU Yueying;ZHANG Qi;LIN Chaowen(Agricultural Resources and Environment Institute,Sichuan Academy of Agricultural Sciences,Chengdu 610066;Agriculture and Rural Bureau of Zizhong County,Neijiang,Sichuan 641299)
出处
《中国农学通报》
2024年第29期75-79,共5页
Chinese Agricultural Science Bulletin
基金
国家现代农业产业技术体系“四川豆类杂粮创新团队”(sccxtd-2022-20)
国家重点研发计划课题“丘陵山地坡耕地增碳固碳消障绿色生产技术模式构建与应用”(2022YFD1901405)
“1+9”揭榜挂帅科技攻关“耕地质量提升与环境治理重大技术”(1+9KJGG005)
四川省财政自主创新专项项目“油菜化肥减量增效的土壤学机制研究”(2023ZZCX013)。
