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作 者:刘永霞[1] 唐粉玲[1] 周兆禧[1] 何应对[1] 臧小平[1] 曹红鑫[2] 鞠俊杰 王必尊[1]
机构地区:[1]中国热带农业科学院海口实验站,海南海口570102 [2]江苏省农业科学院经信所,江苏南京210014 [3]南林电子有限公司,江苏南京210037
出 处:《热带作物学报》2014年第3期498-502,共5页Chinese Journal of Tropical Crops
基 金:国家青年基金项目"基于不同施肥水平的巴西香蕉形态及产量的定量关系研究"(No.31101123);海南省自然省科学基金项目"基于不同施肥水平的巴西香蕉形态及产量的相关关系研究"(No.311062)
摘 要:2011~2013年采用“3414”完全试验设计方案,对巴西香蕉主要农艺性状与产量之间的关系进行了相关和通径分析。结果表明,顶部2~6叶总叶面积、株高、茎围、绿叶数与产量呈极显著正相关关系,相关性最高的是茎粗,其次为顶部2~6叶总叶面积。对巴西香蕉主要农艺性状与产量之间的相关性进行回归分析.得产量预测回归模型:Y=-8032.426+538.515D+0.102A.通径分析结果表明.茎围D和顶部2-6叶总面积A是对单株产量贡献最大的2个生长性状。但栽培时还是要协调好各性状间的关系,在强调高产育种的性状选择上.可将重点集中于这2个性状上.从而缩小育种过程中良性性状的选择范围.提高育种效率。An experiment plan of 3414 was used from 2011 to 2013 and the path coefficient analysis was conducted to attain the quantitative relationship between agronomic characters and yield for Brazil Banana. The result showed that there was significant positive correlation between morphology (such as total leaf area from second to sixth leaf at top, plant height, stem girth and leaf number) and yield. The best is stem girth, then leaf area. The regression analysis of coefficient between agronomic characters and yield was conducted and the regression model is as below: Y=-8032.426+538.515D+0.102A. With the path coefficient analysis, stem girth (D) and top 2-6 leaves total area were the greatest contribution to yield. But when cultivating the relationship between the other traits and yield must be taken into account, when emphasizing on high yield breeding traits these 2 traits will be focused on, thereby reducing the benign character selection breeding process, and improve the breeding efficiency.
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