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杂交中稻在不同地域和施氮水平下米质变异的影响因素及其预测模型
引用本文:徐富贤,熊洪,张林,郭晓艺,朱永川,周兴兵,刘茂.杂交中稻在不同地域和施氮水平下米质变异的影响因素及其预测模型[J].中国水稻科学,2012,26(4):438-444.
作者姓名:徐富贤  熊洪  张林  郭晓艺  朱永川  周兴兵  刘茂
作者单位:四川省农业科学院水稻高粱研究所,四川泸州,646000
基金项目:国家粮食丰产科技工程资助项目,西南水稻创新体系建设资助项目,四川省学术带头人培养基金资助项目,四川省水稻育种攻关计划资助项目,四川省财政推广项目
摘    要: 以杂交中稻高产组合Ⅱ优7号和高产优质新组合渝香优203为材料,在西南稻区4省(市)的6个生态点采用相同的试验方案,解析了稻米品质的影响因素。结果表明,基因型是影响稻米品质的最重要因素,环境条件(生态条件和土壤基础肥力)次之,施氮的作用最小。基因型与地点的互作显著或极显著影响直链淀粉含量、胶稠度、整精米率、垩白粒率、垩白度,基因型与施氮水平的互作仅显著影响胶稠度,地点与施肥水平的互作仅显著影响整精米率。Ⅱ优7号在高海拔、低经度、土壤高有效钾和高有效氮条件下,渝香优203在高海拔、土壤高有效氮、低有机质和低全磷条件下,米质较好。并分别建立了Ⅱ优7号和渝香优203稻米的直链淀粉、胶稠度、整精米率、垩白度、长宽比与地理位置、土壤基础肥力及施氮水平关系的预测模型。

关 键 词:杂交中稻  品质变异  影响因素  预测模型
收稿时间:2011-09-07;

Effect Factor and Predict Model of Rice Quality Variation for Mid-Season Hybrid Rice at Different Ecological Sites and Nitrogen Application Levels
XU Fu-xian , XIONG Hong , ZHANG Lin , GUO Xiao-yi , ZHU Yong-chuan , ZHOU Xing-bin , LIU Mao.Effect Factor and Predict Model of Rice Quality Variation for Mid-Season Hybrid Rice at Different Ecological Sites and Nitrogen Application Levels[J].Chinese Journal of Rice Science,2012,26(4):438-444.
Authors:XU Fu-xian  XIONG Hong  ZHANG Lin  GUO Xiao-yi  ZHU Yong-chuan  ZHOU Xing-bin  LIU Mao
Institution:(Rice and Sorghum Institute,Sichuan Academy of Agricultural Sciences,Luzhou 646000,China)
Abstract:Rice quality variation was analyzed with two mid season rice combinations at different ecological sites, basic fertility of soil and nitrogen application levels in 2009. The results indicated that the genotype was the most important factor followed by the ecological conditions, the basic fertility of soil and the nitrogen application level. The interaction between the genotype and the experiment site had a significant or highly significant effect on the amylose content, the gel consistency, the percentage of head milled rice, the percentage of chalky rice and the chalkiness. The gel consistency was significantly affected by the interaction between the genotype and the nitrogen application level, and the interaction between the experimental site and the nitrogen application level had a significant effect on the percentage of head milled rice. Suitable environment conditions such as high altitude, low longitude,high available N, high available K in soil for Ⅱ you 7, and high altitude, high available N, low organic fertilizer, low total P in soil for Yuxiangyou 203 contributed to improve rice quality. The predict models were established respectively between the amylose, the gel consistency, the percentage of head milled rice, the chalkiness, the ratio length to width and the geographical position, the basic fertility of soil, the nitrogen application level for Ⅱ you 7  and Yuxiangyou 203.
Keywords:mid season hybrid rice  rice quality variation  effect factor  predict model
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