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Accumulation Rule of Sugar Content in Corn Stalk

文献类型： 外文期刊

作者： Chen, Jianjian 1 ; Bian, Yunlong 2 ; Wu, Zhenxing 1 ; Li, Xiangnan 1 ; Wang, Tingzhen 1 ; Lv, Guihua 1 ;

作者机构： 1.Zhejiang Acad Agr Sci, Inst Maize & Featured Upland Crops, Dongyang 322100, Peoples R China

2.Yangzhou Univ, Coinnovat Ctr Modern Prod Technol Grain Crops, Jiangsu Key Lab Crop Genet & Physiol, Key Lab Plant Funct Genom,Minist Educ, Yangzhou 225009, Peoples R China

关键词： corn stalk; sugar content; accumulation rule; plant water content; micro-Ribonucleic acids; Corn

期刊名称：PLANTS-BASEL （ 影响因子：4.5； 五年影响因子：4.8 ）

ISSN：

年卷期： 2023 年 12 卷 6 期

页码：

收录情况： SCI

摘要： The primary parts of corn stalks are the leaves and the stems, which comprise the cortex and the pith. Corn has long been cultivated as an grain crops, and now it is a primary global source of sugar, ethanol, and biomass-generated energy. Even though increasing the sugar content in the stalk is an important breeding goal, progress has been modest in many breeding researchers. Accumulation is the gradual rise in quantity when new additions are made. The challenging characteristics of such sugar content in corn stalks are below the protein, bio-economy, and mechanical injury. Hence, in this research, plant water-content-enabled micro-Ribonucleic acids (PWC-miRNAs) were designed to increase the sugar content in corn stalks following an accumulation rule. High-throughput sequencing of the transcriptome, short RNAs, and coding RNAs was performed here; leaf and stem degradation from two early-maturing Corn genotypes revealed new information on miRNA-associated gene regulation in corn during the sucrose accumulation process. For sugar content in corn stalk, PWC-miRNAs were used to establish the application of the accumulation rule for data-processing monitoring throughout. Through simulation, management, and monitoring, the condition is accurately predicted, providing a new scientific and technological means to improve the efficiency of the construction of sugar content in corn stalks. The experimental analysis of PWC-miRNAs outperforms sugar content in terms of performance, accuracy, prediction ratio, and evaluation. This study aims to provide a framework for increasing the sugar content of corn stalk.

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