Scopus Eşleşmesi Bulundu
14
Atıf
134
Cilt
106-113
Sayfa
Scopus Yazarları: Askin Bahar, T. Kaplunov, V. Alchanatis, A. Lichter
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.
Anahtar Kelimeler (Scopus)
Postharvest
Vitis vinifera
Image analysis
Scimago Dergi Bilgisi
Otomatik ISSN Eşleştirmesi
2017 yılı verileri
Postharvest Biology and Technology
Q1
SJR Quartile
1,480
SJR Skoru
178
H-Index
Kategoriler: Agronomy and Crop Science (Q1) · Food Science (Q1) · Horticulture (Q1)
Alanlar: Agricultural and Biological Sciences
Ülke: Netherlands
· Elsevier B.V.
Bu bilgiler makale yılına göre Scimago veritabanından ISSN eşleştirmesiyle otomatik getirilmektedir.
Dergi sıralama verileri Scimago'nun ilgili yılı baz alınmaktadır.
Anahtar Kelimeler
Postharvest
Vitis vinifera
Image analysis
Makale Bilgileri
Dergi
Postharvest Biology and Technology
ISSN
09255214
Yıl
2017
/ 12. ay
Cilt / Sayı
134
Sayfalar
106 – 113
Makale Türü
Özgün Makale
Hakemlik
Hakemli
Endeks
SCI
Yayın Dili
İngilizce
Kapsam
Uluslararası
Toplam Yazar
4 kişi
Erişim Türü
Elektronik
Erişim Linki
Makaleye Git
Alan
Ziraat, Orman ve Su Ürünleri Temel Alanı-
Bahçe Bitkileri Yetiştirme ve Islahı
YÖKSİS Yazar Kaydı
Yazar Adı
BAHAR AŞKIN,KAPLUNOV TATIANA,ALCHANATIS VICTOR,LICHTER AMNON
YÖKSİS ID
2480351
Hızlı Erişim
Metrikler
Scopus Atıf
14
Yazar Sayısı
4