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作 者:唐浩[1,2] 刘洪[3] 余汉勇[4] 张浙峰[5] 肖应辉[1] 杨益善[6] 陈立云[1]
机构地区:[1]湖南农业大学,湖南长沙410128 [2]农业部科技发展中心,北京100122 [3]华南农业大学,广东广州510642 [4]中国水稻研究所,浙江杭州310006 [5]四川省农业科学院作物研究所,四川成都610066 [6]湖南杂交水稻研究中心,湖南长沙410125
出 处:《作物学报》2013年第4期632-641,共10页Acta Agronomica Sinica
基 金:国家公益性行业(农业)科研专项经费项目(200903008)资助
摘 要:为了进一步提高水稻品种特异性(distinctness)、一致性(uniformity)和稳定性(stability)(简称DUS)测试的准确性,以水稻DUS测试指南中列出的49份水稻标准品种为材料,应用AMMI模型对水稻品种50个DUS测试性状进行了稳定性分析,并采用随机森林算法对测试性状的重要性进行了评价。结果表明,不同性状的稳定性差异较大,以质量性状和假质量性状为主的目测性状稳定性高,而以数量性状为主的量测性状稳定性较低。不同性状的重要性参数差异甚大,总体上,以数量形式表示的量测性状的重要性参数较大,而以分级代码表示的目测性状重要性参数相对较小。对于茎节包露、穗类型、穗立形状、外颖茸毛和叶茸毛等稳定性较低、重要性参数不高的性状,可从水稻DUS测试指南中去除;对成熟期、抽穗期等稳定性较低但在生产实践中很重要的农艺性状,宜安排在申请者所在地参试点测试,使其表达状态真实表现;或者采用标准品种进行校正,从而提高测试的准确性。In order to further improve the accuracy of distinctness, uniformity and stability (ab. DUS) test of rice varieties, the AMMI model was used to analyse the stability and Random Forest algorithm was used to evaluate the importance for 50 charac- teristics of 49 rice example varieties listed in DUS test guideline. The results showed that stability is largely different among different characteristics, and visual characteristics are highly stable for main qualitative characteristics and pseudo-qualitative characteristics, and measurement characteristics had low stability for quantitative characteristics. On the whole, the importance parameter difference was very big among different characteristics, which is larger for measurement characteristics, and relatively smaller for visual characteristics. Some characteristics with low stability and low importance could be excluded from DUS guideline, for example “panicle: exsertion”,“panicle: type”, “panicle: attitude”,“Spikelet: pubescence of lemma”, “leaf: pubescence”, while those with low stability, but very important in practice, for example “time of maturity” and“time of heading” could be only in the location of applicants tested to avoid misjustice and use example varieties for correction.
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