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西藏白菜型黄籽油菜农艺性状与产量的评价分析 被引量:2

Evaluation and Analysis of Agronomic Characters and Yield of Tibetan Cabbage Yellow-seed Rape
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摘要 为推进西藏地区白菜型黄籽油菜的高效利用,本文以26份西藏白菜型黄籽油菜农家品种为材料,通过统一种植管理,对株高、一次有效分枝数等9个农艺性状和产量进行测量分析。结果表明,所测量性状的变异系数均较大,各性状的变异系数在15.77%~57.50%之间,且各指标品种间差异显著;相关性分析结果显示,产量与一次有效分枝数、全株有效角果数、每果粒数呈极显著相关性;通过聚类分析发现,洛扎黄、龙丹油菜、林岗油菜、奴卡油菜、桑布油菜和普巴村黄籽综合表现优异,可在生产实践中进行推广。所选参试材料具有一定的代表性,可为今后西藏地区白菜型黄籽油菜的育种工作提供更多的选择机会,研究结果将为今后育种工作提供一定的理论和实践依据。 In order to promote the efficient utilization of yellow-seed rapeseed cabbage in Tibet,this paper used 26 farmer varieties of yellow-seed rapeseed cabbage in Tibet as materials.Through unified planting management,9 agronomic traits and yields such as plant height and number of effective branches at a time were measured and analyzed.The results showed that all the variation coefficients of the measured traits were large,and the variation coefficient of each trait was between 15.77%and 57.50%,but there were significant differences among the index varieties.The results of correlation analysis showed that the yield was related to the number of effective branches,and the number of effective siliques in the whole plant and the number of grains per fruit showed a significant correlation.Through cluster analysis,it was found that the comprehensive performances of Luozhahuang,Longdan rape,Lingang rape,Nuka rape,Sambu rape and Puba village yellow seeds were excellent,which should be promoted in production practice.The selected test materials were representative and provided more selection opportunities for the future breeding of cabbage yellow-seed rape in Tibet.The research results will provide certain theoretical and practical basis for future breeding.
作者 郭素平 袁燕 德庆 德庆普尺 杨广环 邓贵仲 旦巴 GUO Suping;YUAN Yan;Deqing;Deqing Puchi;YANG Guanghuan;DENG Guizhong;Danba(Plant Science College,Tibet Agriculture&Animal Husbandry University,Nyingchi Tibet,860000,China)
出处 《高原农业》 2020年第5期447-453,共7页 Journal of Plateau Agriculture
基金 西藏科技厅重点实验室项目“西藏白菜型黄籽油菜在林芝地区的适应性及高产栽培技术研究”(603000011)。
关键词 白菜型油菜 农艺性状 相关性 聚类分析 Brassica napus agronomic traits correlation cluster analysis
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