刘宝海, Li Baohai, 聂守军, Nie Shoujun, 高世伟, Gao Shiwei, 刘晴, Liu Qing, 刘宇强, Liu Yuqiang, 常汇琳, Chang Huilin, 马成, M. Cheng, 唐铭, Tang Ming, 薛英会, Xu Yinghui, 白瑞, Bai Rui
{"title":"基于压力-状态-响应模型的寒地粳稻杂交育种后代选择与实现","authors":"刘宝海, Li Baohai, 聂守军, Nie Shoujun, 高世伟, Gao Shiwei, 刘晴, Liu Qing, 刘宇强, Liu Yuqiang, 常汇琳, Chang Huilin, 马成, M. Cheng, 唐铭, Tang Ming, 薛英会, Xu Yinghui, 白瑞, Bai Rui","doi":"10.13930/J.CNKI.CJEA.200776","DOIUrl":null,"url":null,"abstract":"为提高育种杂交后代选择效果，引入压力-状态-响应（PSR）模型对影响寒地粳稻杂交育种后代的遗传、环境和选择因素进行探讨。构建1个目标、3个准则和18个指标组成的寒地粳稻杂交育种后代选择概念模型与评价体系，并采用客观熵权和功效评分相组合方法进行综合指数评价。结果表明：在PSR模型设计环境下，‘绥粳18’杂交育种9个世代杂交后代均表现出穗颈瘟权重值最大，其次是倒伏级别，再次是空壳率，寒地生态环境下抗穗颈瘟发病指数、抗倒伏级别和空壳率水平是水稻育种杂交后代选择最重要的考虑指标。PSR系统评价中，各子系统的影响力大小依次是响应子系统（权重为0.6867）>状态子系统（权重为0.2651）>压力子系统（权重为0.0482）；各指标值变异系数为0~200.4%，大范围变异利于提高后代选择育种效果。与目前多依据株型理论选择杂交后代系谱相比，运用PSR模型理论与评价体系方法，创建动态压力选择环境，客观评价指标特征，并引入专家决策管理，能够有效克服单纯依靠育种经验、定性定量不结合、多注重性状选择以及响应决策不系统而导致多优性状聚合难、鉴定难、选择效率低等问题，具有较好可行性、可靠性和实用性，可以获得更加合理的寒地水稻育种杂交后代选择方案。本研究结果可为加快寒地优质高产多抗广适突破性水稻新品种选育提供有益参考和技术依据。","PeriodicalId":10032,"journal":{"name":"Chinese Journal of Eco-agriculture","volume":"29 1","pages":"738-750"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chinese Journal of Eco-agriculture","FirstCategoryId":"1091","ListUrlMain":"https://doi.org/10.13930/J.CNKI.CJEA.200776","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Agricultural and Biological Sciences","Score":null,"Total":0}
Selection and implementation of offspring in cold region japonica rice hybrid breeding based on pressure state response model
To improve the selection effect of hybrid offspring in breeding, a pressure state response (PSR) model was introduced to explore the genetic, environmental, and selection factors that affect the offspring of cold region japonica rice hybrid breeding. Construct a conceptual model and evaluation system for offspring selection in cold region japonica hybrid rice breeding, consisting of 1 objective, 3 criteria, and 18 indicators, and use a combination of objective entropy weight and efficacy score method for comprehensive index evaluation. The results showed that under the PSR model design environment, all 9 generations of hybrid offspring of 'Suijing 18' showed the highest weight value of ear neck blast, followed by lodging level and empty shell rate. The index of resistance to ear neck blast, lodging level, and empty shell rate in cold ecological environment are the most important consideration indicators for selecting hybrid offspring in rice breeding. In the evaluation of the PSR system, the order of influence of each subsystem is the response subsystem (with a weight of 0.6867), the state subsystem (with a weight of 0.2651), and the pressure subsystem (with a weight of 0.0482); The coefficient of variation of each indicator value is 0~20.4%, and a wide range of variation is beneficial for improving the breeding effect of offspring selection. Compared with the current selection of hybrid offspring genealogy based on plant type theory, using PSR model theory and evaluation system methods to create a dynamic pressure selection environment, objectively evaluate indicator characteristics, and introduce expert decision-making management can effectively overcome the problems of relying solely on breeding experience, not combining qualitative and quantitative analysis, paying more attention to trait selection, and responding to decision-making not systematically, resulting in difficult aggregation, identification, and low selection efficiency of multiple excellent traits, It has good feasibility, reliability, and practicality, and can obtain a more reasonable selection plan for hybrid offspring in cold region rice breeding. The results of this study can provide useful reference and technical basis for accelerating the breeding of breakthrough rice varieties with high quality, high yield, multi resistance, and wide adaptability in cold regions.
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