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Journal of Agronomy
  Year: 2021 | Volume: 20 | Issue: 1 | Page No.: 9-16
DOI: 10.3923/ja.2021.9.16
 
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Dry Matter Production, Leaf Area Index, Yield and Yield Components of Myanmar Local Rice (Oryza sativa L.) Genotypes Observation

Su Latt Phyu , Nyo Mar Htwe and Chan Nyein Thu

Abstract:
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 m2 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.
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How to cite this article:

Su Latt Phyu, Nyo Mar Htwe and Chan Nyein Thu, 2021. Dry Matter Production, Leaf Area Index, Yield and Yield Components of Myanmar Local Rice (Oryza sativa L.) Genotypes Observation. Journal of Agronomy, 20: 9-16.

DOI: 10.3923/ja.2021.9.16

URL: https://scialert.net/abstract/?doi=ja.2021.9.16

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