Evaluating and Mapping Grape Color Using Image-Based Phenotyping

作     者：A.N.Underhill C.D.Hirsch M.D.Clark 

作者机构：Department of Horticultural ScienceUniversity of MinnesotaSt.PaulMNUSA Department of Plant PathologyUniversity of MinnesotaSt.PaulMNUSA 

出 版 物：《Plant Phenomics》 (植物表型组学（英文）)

年 卷 期：2020年第2卷第1期

页      面：95-105页

核心收录：

学科分类：081203[工学-计算机应用技术] 08[工学] 09[农学] 0835[工学-软件工程] 0902[农学-园艺学] 090201[农学-果树学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：This work was supported by the VitisGen2 project which is funded by a Specialty Crop Research Initiative(SCRI)Competitive Grant[Award No.2017-51181-26829]of the United States Department of Agriculture-National Institute of Food and Agriculture(USDA-NIFA) 

主　　题：Image image Mapping 

摘      要：Grape berry color is an economically important trait that is controlled by two major genes influencing anthocyanin synthesis in the *** is often described qualitatively using six major categories;however,this is a subjective rating that often fails to describe variation within these six *** investigate minor genes influencing berry color,image analysis was used to quantify berry color using different color *** image analysis pipeline was developed and utilized to quantify color in a segregating hybrid wine grape population across two *** were collected from grape clusters immediately after harvest and segmented by color to determine the red,green,and blue(RGB);hue,saturation,and intensity(HSI);and lightness,red-green,and blue-yellow values(L∗a∗b∗)of *** analysis identified known major QTL for color on chromosome 2 along with several previously unreported smaller-effect QTL on chromosomes 1,5,6,7,10,15,18,and *** study demonstrated the ability of an image analysis phenotyping system to characterize berry color and to more effectively capture variability within a population and identify genetic regions of interest.