Revealing a Significant Latent Loss of Dry Matter in Rice Based on Accurate Measurement of Grain Growth Curve

Abstract

Against the background of increased population and resource depletion, managing food losses means conserving agricultural production resources and increasing farmer income. This paper mainly introduces the discovery and value of latent loss. In 2019, our experimental team formulated the 5T management method, which concerned the rice harvest period. Moreover, to promote the 5T management method, our team conducted relevant experiments about rice grain growth curve and found an accidental reduction in the dry matter weight of rice. To ensure the accuracy of the results of the latent rice loss in 2019, easy-to-use nuclear magnetic resonance is a non-destructive, rapid evaluation method, which is suitable for accurately determining high-moisture content and multi-variety rice. Overall, the experimental results in 2020 showed that if rice was harvested at the optimal time, the rice loss rate could be reduced by 3.5346%, which is equivalent to a yield of 235,051 tons of rice. The results are in agreement with evidence from field trials and suggest that the latent loss of dry matter caused by delayed harvest not only causes yield losses and economic losses but also increases postharvest grain loss and rice seed shattering loss. This significant factor, the optimal harvest time, in harvest period is strictly controlled to prevent the dry matter loss caused by innate knowledge and traditional management and to provide new possibilities for increasing the amount of available fertile land and generating income.

Keywords

• latent loss of dry matter
• rice
• loss reduction
• grain growth curve
• nuclear magnetic resonance (NMR)