欢迎访问作物学报，今天是
作物学报

作物学报 ›› 2023, Vol. 49 ›› Issue (4): 1102-1110.doi: 10.3724/SP.J.1006.2023.24078

• 耕作栽培·生理生化 • 上一篇    下一篇

基于RGB颜色空间评价马铃薯块茎绿化程度

王硕(), 鲍天旸, 刘建刚, 段绍光, 简银巧, 李广存, 金黎平, 徐建飞*()   

  1. 中国农业科学院蔬菜花卉研究所/农业农村部薯类作物生物学和遗传育种重点实验室, 北京 100081
  • 收稿日期:2022-04-02 接受日期:2022-09-05 出版日期:2023-04-12 网络出版日期:2022-09-15
  • 通讯作者: *徐建飞, E-mail: xujianfei@caas.cn
  • 作者简介:E-mail: wangshuo202099@163.com
  • 基金资助:
    宁夏回族自治区农业育种专项(2019NYYZ01-1);财政部和农业农村部国家现代农业产业技术体系建设专项(CARS-09)

Potato tuber greening evaluation based on RGB color space

WANG Shuo(), BAO Tian-Yang, LIU Jian-Gang, DUAN Shao-Guang, JIAN Yin-Qiao, LI Guang-Cun, JIN Li-Ping, XU Jian-Fei*()   

  1. Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences/Key Laboratory of Biology and Genetic Improvement of Tuber and Root Crops, Ministry of Agriculture and Rural Affairs, Beijing 100081, China
  • Received:2022-04-02 Accepted:2022-09-05 Published:2023-04-12 Published online:2022-09-15
  • Contact: *E-mail: xujianfei@caas.cn
  • Supported by:
    Agricultural Breeding Project of Ningxia Hui Autonomous Region, China(2019NYYZ01-1);China Agriculture Research System of MOF and MARA(CARS-09)

RichHTML

9

PDF

320

摘要：

马铃薯是世界上最重要的作物之一, 块茎作为马铃薯的商品器官, 块茎绿化严重影响马铃薯商品品质, 造成大量的资源浪费。建立一种方便快捷的块茎绿化评价方法, 对于马铃薯种质资源鉴定和块茎品质评价具有重要意义。本研究基于提取块茎颜色空间特征, 结合RGB颜色空间色差分析, 对15个马铃薯四倍体和二倍体品种(系)材料的绿化趋势和绿化程度进行了系统评价。供试材料块茎在25℃条件下, 125 μmol m-2 s-1光照强度下, 中薯2号、中薯18号、中薯19号、Atlantic、Favorita和Kondor的绿化速度较快, HS66的绿化速度较慢。在光照处理9 d后, 块茎色差值趋于稳定, 在光照处理13 d后, 不同品种绿化程度差异明显, 其中Favorita的绿化程度最大, 中薯28号的绿化程度最小。本研究建立的基于RGB颜色空间的马铃薯块茎绿化评价方法能够准确区分不同品种(系)的绿化速度和绿化程度, 该方法简便、高效, 结果可靠, 为精准评价块茎绿化程度并进行相关分析提供了技术方法参考。

关键词: 马铃薯, 块茎, 绿化, RGB颜色特征, 色差分析

Abstract:

Potato is one of the most important crops in the world. Tuber is the commercial product of potato, whereas tuber greening seriously affects product quality and results in a large amount of potatoes waste. It is very necessary to establish a convenient evaluation method of tuber greening for the identification of potato germplasm resources and the analysis of tuber quality. In this study, we systematically evaluated the greening trend and greening degree of 15 potato tetraploid and diploid varieties (lines) base on the extraction of tuber color space characteristics and RGB color space color difference. Zhongshu 2, Zhongshu 18, Zhongshu 19, Atlantic, Favorita, and Kondor appeared faster greening speed, but HS66 appeared slower greening speed under 25℃ and 125 μmol m-2 s-1. Color difference value of tubers of all potato varieties (lines) tended to the stability after 9 days lighting treatment. There was an obvious greening extent differences among potato varieties (lines). Among them, the afforestation degree of Favorita was the highest, whereas Zhongshu 28 was the lowest after 13 days lighting treatment. The method established in this study can accurately distinguish the greening speed and the extent of different varieties (lines), which provided a convenient and reliable technical reference for tuber greening evaluation.

Key words: potato, tuber, greening, RGB color features, color difference analysis

表1

2个块茎之间的相关性分析"

品种(系)
Variety (line)		 光照处理1 d后色差
Color difference after 1
day of light treatment		 光照处理7 d后色差
Color difference after 7
days of light treatment		 光照处理13 d后色差
Color difference after 13
days of light treatment
块茎1 Tuber 1 块茎2 Tuber 2 块茎1 Tuber 1 块茎2 Tuber 2 块茎1 Tuber 1 块茎2 Tuber 2
中薯2号 Zhongshu 2 59.82 59.09 48.74 47.01 46.75 44.41
中薯3号 Zhongshu 3 69.51 75.51 57.48 63.48 55.60 60.84
中薯5号 Zhongshu 5 71.11 73.81 56.70 61.73 53.81 57.32
中薯18号 Zhongshu 18 71.43 67.22 52.82 53.24 52.10 51.30
中薯19号 Zhongshu 19 78.00 75.58 61.13 60.40 59.16 59.40
中薯21号 Zhongshu 21 69.25 77.15 52.98 59.93 50.80 56.40
中薯27号 Zhongshu 27 71.13 72.22 46.01 52.16 44.51 50.35
中薯28号 Zhongshu 28 61.70 61.84 55.09 55.03 54.02 52.40
Atlantic 63.95 63.01 55.42 54.81 55.35 54.18
CE125 77.98 82.72 58.12 57.86 55.93 55.68
Favorita 71.19 68.72 43.29 42.83 41.35 40.73
HS66 54.10 65.57 47.75 56.09 46.28 53.19
Kondor 57.84 54.39 43.37 43.27 42.01 41.32
RH 76.38 73.28 56.73 51.73 54.91 49.30
Shepody 68.80 77.71 56.71 58.78 59.53 58.43
相关系数
Correlation coefficient		 0.785** 0.802** 0.823**

图1

不同品种(系)的色差变化趋势"

表2

供试品种(系)不同光照处理时间的块茎色差"

品种(系)
Variety (line)		 时间Time
0 d
0 DAL		 1 d后
1 DAL		 3 d后
3 DAL		 5 d后
5 DAL		 7 d后
7 DAL		 9 d后
9 DAL		 11 d后
10 DAL		 13 d后
13 DAL
中薯2号 Zhongshu 2 67.58 a 59.45 b 49.02 c 47.83 cd 47.88 cd 47.02 cd 45.98 d 45.58 d
中薯3号 Zhongshu 3 76.49 a 72.51 ab 64.56 bc 61.73 c 60.48 c 59.69 c 59.47 c 58.22 c
中薯5号 Zhongshu 5 73.48 a 72.46 a 65.90 b 60.26 bc 59.22 bc 56.57 c 56.25 c 55.56 c
中薯18号 Zhongshu 18 79.31 a 69.32 b 55.79 c 53.17 c 53.03 c 51.97 c 52.71 c 51.70 c
中薯19号 Zhongshu 19 85.00 a 76.79 b 64.97 c 61.59 d 60.76 de 60.35 de 60.18 de 59.28 e
中薯21号 Zhongshu 21 78.42 a 73.02 a 58.42 b 56.44 b 56.46 b 55.93 b 54.27 b 53.06 b
中薯27号 Zhongshu 27 74.82 a 71.68 a 57.45 b 49.80 bc 49.09 bc 47.16 c 46.88 c 47.43 c
中薯28号 Zhongshu 28 61.76 a 61.77 a 57.40 b 55.86 c 55.06 cd 53.94 de 53.97 de 53.21 e
Atlantic 71.77 a 63.48 b 56.46 c 54.54 c 55.11 c 54.53 c 54.36 c 54.76 c
CE125 84.68 a 80.35 a 65.76 b 58.82 c 57.99 c 56.99 c 56.00 c 55.81 c
Favorita 76.67 a 69.96 b 49.70 c 43.74 d 43.06 d 42.76 d 42.37 d 41.04 d
HS66 65.08 a 59.84 ab 53.52 ab 51.79 ab 51.92 ab 50.57 ab 48.67 b 49.73 ab
Kondor 59.32 a 56.11 b 47.59 c 44.26 d 43.32 d 42.21 d 42.06 d 41.67 d
RH 78.41 a 74.83 a 56.60 b 50.68 b 54.23 b 54.13 b 52.43 b 52.11 b
Shepody 78.36 a 73.25 a 62.70 b 59.53 b 57.74 b 60.00 b 58.72 b 58.98 b

图2

不同品种(系)间的绿化程度差异 采用Duncan’s检验, 图中误差线表示标准误, 不同小写字母表示在0.05概率水平差异显著。"

图3

供试品种(系)块茎绿化程度变化 DAL: 光照处理天数。"

[1] Hameed A, Mehmood M A, Shahid M, Fatma S, Khan A, Ali S. Prospects for potato genome editing to engineer resistance against viruses and cold-induced sweetening. GM Crops Food, 2020, 11: 185-205.
doi: 10.1080/21645698.2019.1631115 pmid: 31280681
[2] 徐建飞, 金黎平. 马铃薯遗传育种研究: 现状与展望. 中国农业科学, 2017, 50: 990-1015.
Xu J F, Jin L P. Advances and perspectives in research of potato genetics and breeding. Sci Agric Sin, 2017, 50: 990-1015. (in Chinese with English abstract)
[3] Muraja-Fras J, Krsnik-Rasol M, Wrischer M. Plastid transformation in greening potato tuber tissue. J Plant Physiol, 1994, 144: 58-63.
doi: 10.1016/S0176-1617(11)80993-4
[4] Tanios S, Eyles A, Tegg R, Wilson C. Potato tuber greening: a review of predisposing factors, management and future challenges. Am J Potato Res, 2018, 95: 248-257.
doi: 10.1007/s12230-018-9648-y
[5] Reeves A F. Varietal differences in potato tuber greening. Am Potato J, 1988, 65: 651-658.
doi: 10.1007/BF02854833
[6] Tanios S, Eyles A, Corkrey R, Tegg R S, Thangavel T, Wilson C R. Quantifying risk factors associated with light-induced potato tuber greening in retail stores. PLoS One, 2020, 15: e0235522.
doi: 10.1371/journal.pone.0235522
[7] Grunenfelder L A, Knowles L O, Hiller L K, Knowles N R. Glycoalkaloid development during greening of fresh market potatoes (Solanum tuberosum L.). J Agric Food Chem, 2006, 54: 5847-5854.
doi: 10.1021/jf0607359
[8] Jakuczun H, Zimnoch-Guzowska E. Inheritance of tuber greening under light exposure in diploid potatoes. Am J Potato Res, 2006, 83: 211-221.
doi: 10.1007/BF02872157
[9] 贾渊, 姬长英. 农产品自动检测中的常见颜色模型. 农机化研究, 2004, (4): 205-208.
Jia Y, Ji C Y. Some common color models in automatic detection of agricultural products. J Agric Mechan Res, 2004, (4): 205-208. (in Chinese with English abstract)
[10] Belati A, Cajaiba J. Measurement of wax appearance temperature using RGB image analysis and FBRM. Fuel, 2018, 220: 264-269.
doi: 10.1016/j.fuel.2018.01.110
[11] 郭俊先, 李俊伟, 胡光辉, 刘军, 虞飞宇. 新疆冰糖心红富士苹果RGB图像多指标分析. 新疆农业科学, 2013, 50: 509-517.
Guo J X, Li J W, Hu G H, Liu J, Yu F Y. Analysis of multi-objective of Xinjiang Fuji apple by RGB image. Xinjiang Agric Sci, 2013, 50: 509-517. (in Chinese with English abstract)
[12] 张若宇, 坎杂, 马蓉, 曹卫彬, 李江波. 基于RGB模型的脱绒棉种颜色特征与发芽状况的关系. 农业工程学报, 2010, 26(10): 172-177.
Zhang R Y, Kan Z, Ma R, Cao W B, Li J B. Relationship between color features and germination of delinted cottonseed based on RGB color model. Trans CSAE, 2010, 26(10): 172-177. (in Chinese with English abstract)
[13] 李文采, 李家鹏, 田寒友, 邹昊, 刘飞, 白京, 张振琪, 王辉, 王守伟. 基于RGB颜色空间的冷冻猪肉储藏时间机器视觉判定. 农业工程学报, 2019, 35(3): 294-300.
Li W C, Li J P, Tian H Y, Zou H, Liu F, Bai J, Zhang Z Q, Wang H, Wang S W. Determination of storage times for chilled pork using RGB color space method based on machine vision. Trans CSAE, 2019, 35(3): 294-300. (in Chinese with English abstract)
[14] 宋一帆, 张武, 姚雨晴, 洪迅, 张嫚嫚, 刘连忠. 基于RGB模型的大豆叶片叶绿素含量预测. 江汉大学学报(自然科学版), 2020, 48(1): 65-72.
Song Y F, Zhang W, Yao Y Q, Hong X, Zhang M M, Liu L Z. Estimation of chlorophyll content in soybean leaves based on RGB model. J Jianghan Univ (Nat Sci Edn), 2020, 48(1): 65-72. (in Chinese with English abstract)
[15] 李梅, 田世龙, 颉敏华, 李守强, 冯焕德, 刘刚. 不同颜色PE食品包装袋对马铃薯绿化和龙葵素含量的影响. 食品科学, 2010, 31(4): 264-267.
Li M, Tian S L, Xie M H, Li S Q, Feng H D, Liu G. Effect of different color polyethylene food packaging bags on greening and steriodal glycoalkaloids content of potatoes. Food Sci, 2010, 31(4): 264-267. (in Chinese with English abstract)
[16] 霍权恭, 范璐. 储藏条件对马铃薯品质的影响. 河南工业大学学报(自然科学版), 2005, 26(6): 47-49.
Huo Q G, Fan L. Effects of storage condition on the potato quality. J Henan Univ Technol (Nat Sci Edn), 2005, 26(6): 47-49. (in Chinese with English abstract)
[17] 杨冬风, 陈争光. 基于颜色特征的马铃薯绿皮检测. 黑龙江八一农垦大学学报, 2011, 23(1): 83-87.
Yang D F, Chen Z G. Greened surface detection of potatoes based on color character. J Heilongjiang Bayi Agric Univ, 2011, 23(1): 83-87. (in Chinese with English abstract)
[18] 曾嵘, 陆玲, 吕牡丹. 自然光下绿皮马铃薯的检测. 电脑知识与技术, 2016, 12(24): 191-193.
Zeng R, Lu L, Lyu M D. Detection of greened potatoes under natural light. Comp Know Technol, 2016, 12(24): 191-193. (in Chinese)
[19] 虞晓娟, 廖桂平, 李锦卫, 金晶. 基于色度域划分的马铃薯绿皮检测方法. 农业工程学报, 2009, 25(增刊2): 314-319.
Yu X J, Liao G P, Li J W, Jin J. Greened potatoes detection based on hue threshold division. Trans CSAE, 2009, 25(S2): 314-319. (in Chinese with English abstract)
[20] 张京平, 彭争, 汪剑. 苹果水分与CT值相关性的研究. 农业工程学报, 2003, 19(2): 180-182.
Zhang J P, Peng Z, Wang J. Correlation between moisture of apples and values of CT. Trans CSAE, 2003, 19(2): 180-182. (in Chinese with English abstract)
[21] 顿绍坤, 魏海平, 孙明柱. RGB颜色空间新的色差公式. 科学技术与工程, 2011, 11: 1833-1836.
Dun S K, Wei H P, Sun M Z. A new distance color difference formula in RGB color space. Sci Technol Engin, 2011, 11: 1833-1836. (in Chinese with English abstract)
[22] 杨振亚, 王勇, 杨振东, 王成道. RGB颜色空间的矢量-角度距离色差公式. 计算机工程与应用, 2010, 46(6): 154-156.
Yang Z Y, Wang Y, Yang Z D, Wang C D. Vector-angular distance color difference formula in RGB color space. Comp Engin Appl, 2010, 46(6): 154-156. (in Chinese with English abstract)
[23] Olsen N L, Brandt T, Price W J. The impact of retail light source on greening of russet burbank potato tubers. Am J Potato Res, 2018, 95: 123-129.
doi: 10.1007/s12230-017-9616-y
[24] 董田田, 孟卫芹, 王庆国. NaCl胁迫处理对采后马铃薯见光绿变的影响. 中国农学通报, 2018, 34(21): 29-34.
Dong T T, Meng W Q, Wang Q G. Effect of NaCl stress on greening of postharvest potatoes under light. Chin Agric Sci Bull, 2018, 34(21): 29-34. (in Chinese with English abstract)
[25] Grunenfelder L, Hiller L K, Knowles N R. Color indices for the assessment of chlorophyll development and greening of fresh market potatoes. Posth Biol Technol, 2006, 40: 73-81.
doi: 10.1016/j.postharvbio.2005.12.018
[26] 向静, 何志良, 汤林越, 熊俊涛. 结合计算机视觉的马铃薯外部品质检测技术. 计算机工程与应用, 2018, 54(5): 165-169.
doi: 10.3778/j.issn.1002-8331.1609-0308
Xiang J, He Z L, Tang L Y, Xiong J T. Research of potato quality detection technology based on computer vision. Comp Engin Appl, 2018, 54(5): 165-169. (in Chinese with English abstract)
[1] 李红艳, 李洁雅, 李响, 叶广继, 周云, 王舰. 过表达LrAN2基因对马铃薯中花青素和糖苷生物碱含量的影响[J]. 作物学报, 2023, 49(4): 988-995.
[2] 张卫娜, 余慧芳, 安珍, 柳文凯, 康益晨, 石铭福, 杨昕宇, 张茹艳, 王勇, 秦舒浩. StEFR1正调控马铃薯对晚疫病的抗性[J]. 作物学报, 2023, 49(4): 996-1005.
[3] 濮雪, 王凯彤, 张宁, 司怀军. 马铃薯StMAPKK4基因表达分析及互作蛋白筛选与鉴定[J]. 作物学报, 2023, 49(1): 36-45.
[4] 段惠敏, 王郁, 程李香, 撒刚, 夏露露, 张峰. 马铃薯块茎末端糖化适应性、稳定性及薯条加工型品种(系)筛选[J]. 作物学报, 2023, 49(1): 262-276.
[5] 惠志明, 徐建飞, 简银巧, 卞春松, 段绍光, 胡军, 李广存, 金黎平. 基于2b-RAD测序的四倍体马铃薯熟性相关的分子标记开发[J]. 作物学报, 2022, 48(9): 2274-2284.
[6] 荐红举, 张梅花, 尚丽娜, 王季春, 胡柏耿, 吕典秋. 利用WGCNA筛选马铃薯块茎发育候选基因[J]. 作物学报, 2022, 48(7): 1658-1668.
[7] 李洁雅, 李红艳, 叶广继, 苏旺, 孙海宏, 王舰. 马铃薯储藏期花青素变化及合成相关基因表达分析[J]. 作物学报, 2022, 48(7): 1669-1682.
[8] 王海波, 应静文, 何礼, 叶文宣, 涂卫, 蔡兴奎, 宋波涛, 柳俊. rDNA和端粒重复序列鉴定马铃薯和茄子体细胞杂种染色体丢失和融合[J]. 作物学报, 2022, 48(5): 1273-1278.
[9] 石艳艳, 马志花, 吴春花, 周永瑾, 李荣. 垄作沟覆地膜对旱地马铃薯光合特性及产量形成的影响[J]. 作物学报, 2022, 48(5): 1288-1297.
[10] 冯亚, 朱熙, 罗红玉, 李世贵, 张宁, 司怀军. 马铃薯StMAPK4响应低温胁迫的功能解析[J]. 作物学报, 2022, 48(4): 896-907.
[11] 张霞, 于卓, 金兴红, 于肖夏, 李景伟, 李佳奇. 马铃薯SSR引物的开发、特征分析及在彩色马铃薯材料中的扩增研究[J]. 作物学报, 2022, 48(4): 920-929.
[12] 谭雪莲, 郭天文, 胡新元, 张平良, 曾骏, 刘晓伟. 黄土高原旱作区马铃薯连作根际土壤微生物群落变化特征[J]. 作物学报, 2022, 48(3): 682-694.
[13] 马文婧, 刘震, 李志涛, 朱金勇, 李泓阳, 陈丽敏, 史田斌, 张俊莲, 刘玉汇. 马铃薯BBX基因家族的全基因组鉴定及表达分析[J]. 作物学报, 2022, 48(11): 2797-2812.
[14] 贾小霞, 齐恩芳, 马胜, 黄伟, 郑永伟, 白永杰, 文国宏. 马铃薯PYL基因家族的全基因组鉴定及表达分析[J]. 作物学报, 2022, 48(10): 2533-2545.
[15] 余慧芳, 张卫娜, 康益晨, 范艳玲, 杨昕宇, 石铭福, 张茹艳, 张俊莲, 秦舒浩. 马铃薯CrRLK1Ls基因家族的鉴定及响应晚疫病菌信号的表达分析[J]. 作物学报, 2022, 48(1): 249-258.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
京ICP备15008789号-2