数字农科院2.0

Anatomical Characteristics Associated With Different Degrees Of Berry Cracking In Grapes

文献类型: 外文期刊

作者: Zhang, C; Guan, L; Fan, XC; Zheng, T; Dong, TY; Liu, CH; Fang, JG

作者机构:

关键词: Grape Germplasm Resources; Berry Dehiscence; Anatomical Structure Observation; Correlation Analysis

期刊名称: SCIENTIA HORTICULTURAE

ISSN: 0304-4238

年卷期: 2020 年 261 卷

页码:

收录情况: JCR(2021版)

摘要: Grape berry cracking refers to the phenomenon of peel cracking that occurs during berry growth and development. It is related to be berry structure and the characteristics of the berry tissue. To study the relationship between berry-cracking and berry anatomical structure, 53 grape germplasm resources were selected. The ripening berry was soaked and cracked in vitro, after which the berry-cracking rate was measured and paraffin sections were prepared to analyze the structural parameters of different berry tissues. Berry cracking was found to be influenced by the shape of cuticle, the arrangement of epidermal cells and,subepidermal cells, and the thickness of cell layers. With regard to cuticle shape, grapes with local suberization had the highest cracking rate (58.33%), and those with a flat cuticle shape had the lowest rate (30.67%). Grape berries with a compact epidermal cell arrangement had the highest berry cracking rate (57.00%). As for subepidermal cell arrangement, the highest berry-cracking rates were observed in varieties with a looser arrangement (83.33%); and the lowest rates were found in varieties with a more compact subepidermal cell arrangement (32.33%). Correlation analysis between the grape berry-cracking rate and cell layer thickness showed that berry-cracking rate was negatively correlated with the thickness of the cuticle, epidermis, and subepidermis. Moreover, the cell shape and size parameters in the different cell layers may also affect the occurrence of berry cracking. Using paraffin sections to analyze cell structure characteristics, we can predict the cracking of grape berries, which would then provide theoretical support for further screening of germplasm resources to identify cracking-resistant berries.

分类号:

  • 相关文献

[1]Agricultural Price Fluctuation Model Based O.n Svr. Li Yanni,Zhuang Jiayu,Wang Shengwei,Liu Jiajia. 2017

[2]Combining Ability Of Mineral Element C.ontents In Hybrid Rice. Tong, Jianhua,Zhao, Ju,Zhou, Qingming,Zhu, Xudong,Zhu, Xudong,Zhu, Ziliang,Chen, Hao,Zhou, Xixin,Zhang, Yangjun,Liu, Shuangqing,Chen, Hao,Zhu, Dan. 2018

[3]Relationships Between Plant Architecture Traits And Cotton Yield Within The Plant Height Range Of 80-120 Cm Desired For Mechanical Harvesting In The Yellow River Valley Of China. Zhao, Wenchao,Zhao, Wenchao,Li, Fang,Wang, Xiangru,Xue, Guojuan,Yan, Wei,Du, Mingwei,Yang, Fuqiang,Meng, Lu,Li, Zhaohu,Tian, Xiaoli,Wang, Xiangru,Huang, Jian,Xu, Dongyong,Qi, Haikun,Eneji, A. Egrinya. 2019

[4]Phosphate Stresses Affect Ionome And M.etabolome In Tea Plants. Zhang, Yinfei,Wang, Yu,Ding, Zhaotang,Jia, Sisi,Xiao, Jun. 2017

[5]Optimizing The Positioning Of Soil M.oisture Monitoring Sensors In W inter Wheat Fields. Duan, Aiwang,Gao, Yang,Liang, Jing,Liang, Yueping,Mi, Zhaorong,Ning, Huifeng,Zeleke, Ketema Tilahun,Shen, Xiaojun,Wang, Guangshuai,Shen, Xiaojun,Zeleke, Ketema Tilahun,Zhang, Jiyang. 2018

[6]Rapid Diagnosis Of Sound, Yellow A.nd Citrus Greening Leaves W ith Hyperspectral Imaging. Sun Xu-dong,Xiao Huai-chun,Zhang Zhi-cheng,Li Ze-min,Liu Yan-de,Lu Qian. 2017

[7]Identification Of Key Genes Involved I.n Catechin Metabolism In T ea Seedlings Based On Transcriptomic And Hplc Analysis. Zhang, YZ, Wei, K, Li, HL, Wang, LY, Ruan, L, Pang, DD, Cheng, H. 2018

[8]Fate Of Antibiotic-Resistant Bacteria And A.ntibiotic Resistance Genes In T he Electrokinetic Treatment Of Antibiotic-Polluted Soil. Li, HN, Li, BX, Ma, JL, Ye, J, Guo, P, Li, LF. 2018

[9]Microbial Characterization Of Five Chinese T.raditional Sourdoughs By High-Throughput S equencing And Their Impact On The Quality Of Potato Steamed Bread. Zhao, Z, Mu, TH, Sun, HN. 2019

[10]Relationship Between Hyperspectral Parameters Of W.inter Wheat Canopy And P lant Height Components Under Late Frost Injury. Shi, P, Wu, YF, Hu, X, Lu, GH, Ren, DC, Song, JQ. 2017

[11]Copy number variation (CNV) of the AHR gene in the Ashidan yak and its association with growth traits. Dai R., Huang C., Wu X., Ma X., Chu M., Bao P., Pei J., Guo X., Yan P., Liang C.. 2022

[12]Exploring the Relationship between Ecosystem Services under Different Socio-Economic Driving Degrees. Tiantian Ma, Qingbai Hu, Changle Wang, Jungang Lv , Changhong Mi, Rongguang Shi, Xiaoli Wang, Yanying Yang, Wenhao Wu. 2022

[13]Selenium distribution, translocation and speciation in wheat (Triticum aestivum L.) after foliar spraying selenite and selenate. Di X., Qin X., Zhao L., Liang X., Xu Y., Sun Y., Huang Q.. 2023

[14]Soil Fluoride Fractions And Their B.ioavailability To Tea Plants ( Camellia Sinensis L.). Yi, XY, Qiao, S, Ma, LF, Wang, J, Ruan, JY. 2017

[15]Discoloration investigations of freeze‐dried carrot cylinders from physical structure and color‐related chemical compositions. Ying Lyu,Jinfeng Bi,Qinqin Chen,Xuan Li,Xinye Wu,Haonan Hou,Xing Zhang. 2021

[16]Quantitative Assessment Of The Contribution Of Environmental Factors To Divergent Population Trends In Two Lady Beetles. Cheng, J, Li, PL, Zhang, YH, Zhan, YD, Liu, Y. 2020

[17]Composition And Oil-Water Interfacial Tension Studies In Different Vegetable Oils. Cong, YX, Zhang, WN, Liu, CS, Huang, FH. 2020

[18]Differential Regulatory Mechanisms Of Secondary Metabolites Revealed At Different Leaf Positions In Two Related Tea Cultivars. Zhang, YZ, Wang, LY, Wei, K, Ruan, L, Wu, LY, He, MD, Tong, HR, Cheng, H. 2020

[19]Factors Influencing The Removal Of A.ntibiotic-Resistant Bacteria And Antibiotic R esistance Genes By The Electrokinetic Treatment. Li, HN, Li, BX, Zhang, ZG, Tian, YL, Ye, J, Lv, XW, Zhu, CX. 2018

[20]Ethylene Emission as a Potential Indicator of Fuji Apple Flavor Quality Evaluation Under Low Temperature. 祁伟彦,Haijing Wang,Zhou Zhen,Peng Yang,Wenbin Wu,李娴,李哲敏. 2020

作者其他论文 更多>>