首页> 外文期刊>Andhra Agricultural Journal >Character Association and Path Analysis of Yield, Yield Components and GrainQuality Characters of Rice Cultivars
【24h】

Character Association and Path Analysis of Yield, Yield Components and GrainQuality Characters of Rice Cultivars

机译:产量,产量组分和水稻品种流谱特征的特征协会及路径分析

获取原文
获取原文并翻译 | 示例
       

摘要

Twenty varieties and advanced lines of rice were used to study the association and path analysis and the results revealed that, the genotypic correlations were, in general higher than the phenotypic correlations suggesting that the observed relationshipsamong the characters were due to genetic causes. The traits viz., plant height, total number of tillers per plant, panicle length per plant, test weight, leaf area index at maximum tillering stage, kernel length, kernel breadth, kernel length after cooking, kernel linear elongation ratio, volume expansion ratio and amylose content, were found to possess significant association in desirable direction with grain yield per plant either both at genotypic and phenotypic levels. Further, it was also observedthat days to 50% flowering and days to maturity exhibited negative and significant association with grain yield. Path analysis showed the true relationship of plant height, total number of tillers per plant, number of ear bearing tillers per plant, number of grains per panicle, test weight, alkali spreading value and amylose content by establishing significant positive association and positive direct effect on grain yield per plant whereas days to maturity showed true relationship by establishing significant negative association and negative direct effect on grain yield per plant.
机译:使用20个品种和高级水稻研究协会和路径分析,结果显示,基因型相关性通常高于表型相关性,表明观察到的关系是由于遗传原因的关系。特征,植物身高,植物高度,每株植物的耕地总数,每植物穗长,试验重量,叶面积指数在最大分蘖阶段,核心长度,籽粒宽度,核长度烹饪后,内核线性伸长率,体积膨胀比发现并淀粉糖含量,在基因型和表型水平下,每种植物的谷物产量具有显着的关联。此外,还观察到几天至50%的开花和成熟天数表现出与籽粒产量的负面和显着关系。路径分析显示植物高度的真实关系,每株植物的耕地总数,每株植物的耳朵数量,每株穗数,试验重量,碱涂抹值和直链淀粉含量通过建立显着的阳性关联和积极直接效应每株植物的谷物产量,而期成熟日通过建立显着的负关联和对每株籽粒产量的负直接影响而显示真正的关系。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号