Results 161 to 170 of about 741 (209)

Elucidating Sugar-Acid Metabolic Diversity and Screening Breeding Materials in Xinjiang Pear (<i>Pyrus</i>) Germplasm Resources. [PDF]

Foods
Zhang S, Wang S, Wang S, Xie J, Wusiman A, Zhou W.   +5 more
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Quantitative Modeling of Water Loss in Korla fragrant pear Based on Stable EIS Characteristics in Pure Water Environment

Mengmeng Yang, Yuanhe Yang, Wei Wang, Xihui Wu, Xiaohan Zhang, Tong Li, Feng Zhang   +6 more
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Bacterial Lipopeptides Are Effective against Pear Fire Blight. [PDF]

Microorganisms
Din IU, Hu L, Jiang Y, Wei J, Afzal M, Sun L.   +5 more
europepmc   +1 more source

Isolation and Characterization of a Lytic Bacteriophage RH-42-1 of Erwinia amylovora from Orchard Soil in China. [PDF]

Viruses
Xi H, Fu B, Sheng Q, Luo M, Sun L.
europepmc   +1 more source

Transcriptomics and Metabolomics Analysis Reveal the Differential Molecular Mechanisms of the 1-Mcp-Induced Fruit Disease Resistance of Korla Fragrant Pear

Qi Zhang, Shuai Huang, Shifeng Cao, Xuewen Li, Xuemei Zhang, Yating Zhao, Lei Ya-xin, Jing Wang   +7 more
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YOLOPears: a novel benchmark of YOLO object detectors for multi-class pear surface defect detection in quality grading systems. [PDF]

Front Plant Sci
Chen J, Fu H, Lin C, Liu X, Wang L, Lin Y.   +5 more
europepmc   +1 more source

Integrated transcriptomic and metabolomic analysis of 1-MCP-induced disease resistance in Korla fragrant pear

Qi Zhang, Shuai Huang, Shifeng Cao, Xuewen Li, Xuemei Zhang, Yating Zhao, Yaxin Lei, Jing Wang   +7 more
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GSHFA-HCP: a novel intelligent high-performance clustering protocol for agricultural IoT in fragrant pear production monitoring. [PDF]

Sci Rep
Zhou P, Chen W, Wang J, Wang H, Zhang Y, Cao B, Sun S, He L.   +7 more
europepmc   +1 more source

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Prediction method of shelf life of damaged Korla fragrant pears

Journal of Food Process Engineering, 2021
AbstractTo scientifically and effectively predict the shelf life of damaged Korla fragrant pears, this paper explores the effects of maturity, storage temperature, and damage degree on their shelf life, which was furthermore predicted employing three neural network modeling methods: Back Propagation Neural Network, General Regression Neural Network ...
Shihui Yu, Haipeng Lan, Xiaolong Li, Hong Zhang, Yong Zeng, Hao Niu, Xiyue Niu, Ailing Xiao, Yang Liu   +8 more
openaire   +1 more source