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首页> 外文期刊>Journal of Agronomy >Dry Matter Production, Leaf Area Index, Yield and Yield Components of Myanmar Local Rice (Oryza sativa L.) Genotypes Observation
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Dry Matter Production, Leaf Area Index, Yield and Yield Components of Myanmar Local Rice (Oryza sativa L.) Genotypes Observation

机译:干物质产量,叶面积指数,缅甸地方稻米产量和产量组分(Oryza Sativa L.)基因型观察

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Background and Objective: Investigations on the differences in yield and its components, dry matter production among local rice genotypes were still limited in Myanmar. Forty-two Myanmar local rice genotypes were used as materials to study the dry matter production characteristics. Materials and Methods: A field experiment was conducted in a tropical environment at the Yezin Agricultural University from June-November, 2017. The data on yield and yield contributing traits and some physiological traits such as LAI, dry weight at heading and at harvesting, straw weight, panicle weight and panicle/straw weight were collected. The collected data were statistically analyzed using STAR software (version 2.0.1) for simple analysis of variance and correlation analysis. Results: The average yield among all tested genotypes ranged from 22-1168 g mG2 owing to larger variation in dry weight production at the heading and harvesting periods. In this study, Khao Pha Lin and Khao Hline were high yielding genotypes possessing their greater capacity to partition dry matter to grain. In contrast, although Kywe Chae Manaing produced high value of LAI and dry matter production, but the ability of distribution of dry matter assimilates is low resulting in low yield. Conclusion: The results indicated that the high yield of Myanmar local genotypes mostly comes from the assimilate production after heading, which is shown by increase of dry weight from heading to harvesting stages.
机译:背景和目的:对缅甸仍然有限的产量及其组分,干物质产量的调查仍然有限。将四十二个缅甸当地水稻基因型用作研究干物质生产特征的材料。材料和方法:2017年6月至2017年6月的yezin农业大学的热带环境中进行了田间试验。关于产量和产量的数据,促进特征和一些生理特性,如赖,在航向和收割机上进行干重,稻草收集重量,胰穗重量和穗/稻草重量。使用星形软件(2.0.1)进行统计分析收集的数据,以简单地分析方差和相关分析。结果:由于在标题和收获期间的干重产生的较大变化,所有测试基因型的平均产量范围为22-1168g mg2。在这项研究中,Khao Pha Lin和Khao Hline是高产的基因型,其具有更大的将干物质分配给谷物。相比之下,虽然Kywe Chae Manaing产生了高价值的赖和干物质生产,但干物质同化的分布能力低产生低产率。结论:结果表明,缅甸局部基因型的高产率主要来自标题后的同化产量,这通过转向阶段的干重的增加表示。

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