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超高产杂交稻Ⅱ优162高产栽培模式研究
引用本文:李天,田彦华,傅淡如,王西瑶.超高产杂交稻Ⅱ优162高产栽培模式研究[J].四川农业大学学报,2005,23(4):402-406.
作者姓名:李天  田彦华  傅淡如  王西瑶
作者单位:1. 农学院,四川,雅安,625014
2. 水稻研究所,四川,温江,611130
基金项目:四川省科技厅应用基础研究项目,四川省教育厅重点研究项目
摘    要:针对杂交水稻组合Ⅱ优162开展了高产栽培模式研究。采用二次回归正交旋转组合设计,考察施N量、施P量、施K量、密度和播期5个因素。对回归方程进行了统计选优,降维分析,边际效应分析。结果表明,各因素的重要性依次为:播期、密度、施N量、施K量、施P量。高产栽培模式要点为:施N量10.7~11.3 kg纯N/667 m2,施P量17.0~19.0 kg过磷酸钙/667 m2,施K量13.0~14.3 kg氯化钾/667 m2,栽插密度为1.52~1.55万窝/667 m2,播种期安排在3月26~28日。

关 键 词:杂交水稻  高产  栽培模式  统计分析
文章编号:1000-2650(2005)04-0402-05
收稿时间:2005-04-11
修稿时间:2005年4月11日

Study on Cultivation Pattern of Super High Yield Combination of Hybrid Rice Ⅱ-you 162
LI Tian,TIAN Yan-hua,HU Dan-ru,Wang Xi-yao.Study on Cultivation Pattern of Super High Yield Combination of Hybrid Rice Ⅱ-you 162[J].Journal of Sichuan Agricultural University,2005,23(4):402-406.
Authors:LI Tian  TIAN Yan-hua  HU Dan-ru  Wang Xi-yao
Institution:1. College of Agriculture, Sichuan Agricultural University, Yaan 625014, Sichuan, China; 2. Rice Research Institute, Sichuan Agricultural University, Wenjiang 611130, Sichuan, China
Abstract:For Ⅱ-you 162 which is a super high yield combination of hybrid rice,the cultivation pattern of high yield was analyzed with the device of secondary regression orthogonal rotary combination.In this study,there are five factors investigated.They are N nutrition,P nutrition,K nutrition,planting density and sowing date.For the regression equation,statistical optimum choosing,and the analysis of dimension reduced and margin effect has been analyzed.The results reveal that five factors are in this following order of importance: sowing date,planting density,N nutrition,K nutrition,P nutrition,and that the main points for the pattern of cultivation are: application dose of pure nitrogen is 10.7~11.3?kg/667?m~2,application dose of calcium superphosphate is 17.0~19.0?kg/667?m~2,application dose of potassium chloride is 13.0~14.3?kg/667?m~2,planting density is 15200~15500 hills/667?m~2 and sowing date is 26~28th,March.
Keywords:hybrid rice  high yield  cultivation pattern  statistical analysis  
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