Scopus
YÖKSİS DOI Eşleşti
SJR Q1
Evaluation of methods for determining rachis browning in table grapes
Postharvest Biology and Technology · Aralık 2017
YÖKSİS Kayıtları
Evaluation of Methods for Determining Rachis Browning in Table Grapes
Postharvest Biology and Technology · 2017 SCI
Prof. Dr. AŞKIN BAHAR →
YÖKSİS Kayıtları — ISSN Eşleşmesi
Evaluation of Methods for Determining Rachis Browning in Table Grapes
2017 ISSN: 09255214 SCI
Prof. Dr. AŞKIN BAHAR →
Makale Bilgileri
ISSN09255214
Yayın TarihiAralık 2017
Cilt / Sayfa134 · 106-113
Scopus ID2-s2.0-85028511970
Özet
Rachis browning is an important quality parameter of table grapes which can limit the development of novel storage technologies. Previous research has shown the feasibility of using image analysis by photography or scanning to measure rachis quality. Here, these two methods were compared, and rachis browning was also evaluated by auto-fluorescence. Two table grape cultivars, Mystery and Superior, were stored under different conditions and durations and the three objective methods were employed, in addition to a subjective evaluation. As shown in the past, weight loss was poorly correlated to rachis browning. Correlation coefficients between image analyses by photography and scanning were 0.88 and 0.98 for ‘Mystery’ and ‘Superior’, respectively, suggesting that the two methods are interchangeable. Auto-fluorescence compared to photographic image analysis yielded correlation coefficients of 0.73 and 0.90 for ‘Mystery’, which had a low range of browning, and ‘Superior’ which had a wide range of browning, respectively. For ‘Superior’ the lower median of browning had a low correlation to auto-fluorescence whereas the high median range was highly correlated. In general, all methodologies asserted that 3 d of shelf life is a feasible time frame for both cultivars under the conditions tested. A web-based application http://www.agri.gov.il/en/blogs/chapter.aspx?peopleId=21&chapterId=472 was established to upload images and retrieve rachis-browning data.
Yazarlar (4)
1
Askin Bahar
2
T. Kaplunov
3
V. Alchanatis
4
A. Lichter
Anahtar Kelimeler
Image analysis
Postharvest
Vitis vinifera
Kurumlar
Agricultural Research Organization of Israel
Bet Dagan Israel
Selçuk Üniversitesi
Selçuklu Turkey
Scimago Dergi (ISSN Eşleşmesi)
Postharvest Biology and Technology
Q1
SJR Skoru1,363
H-Index178
YayıncıElsevier B.V.
ÜlkeNetherlands
Agronomy and Crop Science (Q1)
Food Science (Q1)
Horticulture (Q1)
Metrikler
14
Atıf
4
Yazar
3
Anahtar Kelime