Diagnosing Bitter Pit in Apple during Storage by Chlorophyll Fluorescence as a Non-Destructive Tool

被引:0
|
作者
Mirzaee, M. [1 ]
Rees, D. [1 ]
Colgan, R. J. [1 ]
Tully, M. S. [2 ]
机构
[1] Univ Greenwich, Nat Resources Inst, Dept Food & Mkt, London SE18 6PF, England
[2] Landseer Ltd, Chelmsford, Essex, England
关键词
'Bramley's Seedling' apple; CA storage; 1-MCP; bitter pit; chlorophyll fluorescence characteristics;
D O I
暂无
中图分类号
S6 [园艺];
学科分类号
0902 ;
摘要
Bitter pit is an important physiological disorder of apple that can develop on the tree but is most prevalent during storage. Delaying fruit maturation after harvest through controlled atmosphere storage and application of 1-MCP (SmartFresh (TM)) can delay the onset of symptoms; however, significant losses may occur in long-term stored apples. It is hard to detect internal bitter pit using external examination alone. Current predictive methods are based on destructive internal quality assessments and mineral analysis. A non-destructive method to detect and predict the propensity of fruit to develop bitter pit at harvest and during the early stages of storage would improve store management practices. High risk 'Bramley' orchards were identified from over 100 orchards surveyed across the south east of UK in 2010/11. A subsample of susceptible orchards with fruit that consistently developed bitter pit in storage as well as orchards where fruit remained free from problems were selected. Trials were conducted over two consecutive seasons (2012/13 and 2013/14) to evaluate changes of chlorophyll fluorescence in SmartFresh (TM) treated and untreated 'Bramley' apples during storage. The relationship between chlorophyll fluorescence profiles and bitter pit incidence were similar in the presence or absence of SmartFresh (TM). In the early stages of storage, the chlorophyll fluorescence profiles were able to distinguish between SmartFresh (TM) treated and untreated samples and correlated well with fruit maturity, rate of ethylene production and onset of bitter pit; however, they were less discriminatory in determining the severity of bitter pit in long-term storage. The most discriminant chlorophyll fluorescence characteristics correlated to bitter pit were identified. Models have been developed to predict the likely incidence and development of bitter pit during storage, although they are not capable of estimating severity of the disorder.
引用
收藏
页码:235 / 242
页数:8
相关论文
共 50 条
  • [1] Non-destructive measurement of bitter pit in apple fruit using NIR hyperspectral imaging
    Nicolaï, BM
    Lötze, E
    Peirs, A
    Scheerlinck, N
    Theron, KI
    [J]. POSTHARVEST BIOLOGY AND TECHNOLOGY, 2006, 40 (01) : 1 - 6
  • [2] Fluorescence imaging as a non-destructive method for pre-harvest detection of bitter pit in apple fruit (Males domestica Borkh.)
    Lotze, Elmi
    Huybrechts, Christy
    Sadie, Annalene
    Theron, Karen I.
    Valcke, Roland M.
    [J]. POSTHARVEST BIOLOGY AND TECHNOLOGY, 2006, 40 (03) : 287 - 294
  • [3] An approach to non-destructive apple fruit chlorophyll determination
    Zude-Sasse, M
    Truppel, I
    Herold, B
    [J]. POSTHARVEST BIOLOGY AND TECHNOLOGY, 2002, 25 (02) : 123 - 133
  • [4] Chlorophyll fluorescence as a tool for non-destructive estimation of anthocyanins and total flavonoids in apples
    Hagen, Sidsel Fiskaa
    Solhaug, Knut Asbjorn
    Bengtsson, Gunnar B.
    Borge, Grethe Iren A.
    Bilger, Wolfgang
    [J]. POSTHARVEST BIOLOGY AND TECHNOLOGY, 2006, 41 (02) : 156 - 163
  • [5] NIR TECHNOLOGY FOR NON-DESTRUCTIVE MONITORING OF APPLE QUALITY DURING STORAGE
    Wlodarska, Katarzyna
    Pawlak-Lemanska, Katarzyna
    Sikorska, Ewa
    [J]. LOGFORUM, 2024, 20 (01) : 11 - 21
  • [6] Chlorophyll fluorescence for non-destructive measurement of flavonoids in broccoli
    Bengtsson, GB
    Schöner, R
    Lombardo, E
    Schöner, J
    Borge, GIA
    Bilger, W
    [J]. POSTHARVEST BIOLOGY AND TECHNOLOGY, 2006, 39 (03) : 291 - 298
  • [7] FLUORESCENCE IMAGING - A TOOL FOR NON-DESTRUCTIVE PLANT DIAGNOSIS
    Lichtenthaler, H. K.
    Langsdorf, G.
    Buschmann, C.
    [J]. ACTA PHYSIOLOGIAE PLANTARUM, 2004, 26 (03) : 1 - 1
  • [8] Non-destructive chlorophyll fluorescence imaging of aging white cabbage.
    vandeVen, M
    Schrijver, B
    Ciscato, M
    Valcke, R
    Ameloot, M
    [J]. BIOPHYSICAL JOURNAL, 2003, 84 (02) : 274A - 274A
  • [9] Statistical methodologies for the non-destructive estimation of apple quality after storage: An example for apple
    Verreydt, J
    Schrevens, E
    [J]. POSTHARVEST '96 - PROCEEDINGS OF THE INTERNATIONAL POSTHARVEST SCIENCE CONFERENCE, 1998, 464 : 492 - 492
  • [10] Chlorophyll Fluorescence: a Non-Destructive and Rapid Tool to Select Chinese Fir Clones Best Adapted to a Particular Region
    Jiang, Li
    Jiang, Bo
    Shen, Zonggen
    Chen, Shenchao
    Qi, Zhechen
    Chang, Jiadong
    Mantri, Nitin
    Lu, Hongfei
    [J]. BALTIC FORESTRY, 2016, 22 (01) : 74 - 80