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akaturk Akademik ölçüm

Makale detayı · 2021

Assessment of Morphological Traits, Nutritional and Nutraceutical Composition in Fruits of 18 Apricot cv. Sekerpare Clones

Dergi

Sustainability

ISSN 2071-1050

ISSN kaydı başka bir dergiye işaret ediyor; ad YÖKSİS kaydından.

YÖKSİS OpenAlex Açık erişim · gold SJR Q1 JCR Q2 Atıf 18 Üst %10 Yüzdelik 90.0% FWCI 2.77
Yıl
2021
Tür
article

Veri kaynağı ayrımı

  • YÖKSİS YÖKSİS makale kaydı
  • YÖKSİS dergi adı Sustainability
  • Katalog eşleşmesi (ISSN) Sustainability (Switzerland)
  • OpenAlex OpenAlex zenginleştirmesi (özet, atıf, konular)

Özet

OpenAlex · İngilizce

Apricot (Prunus armeniaca L.) is one of the most important members of Prunus and its trees bears delicious and nutritious fruits during summer months in the temperate zones in the world. Apricot cultivars are propagated asexually which consists of clones. Information on inter-clonal variations in apricot cultivars can assist us in the selection of better clones from commercial cultivars. We aimed to determine morphological traits (fruit weight, seed weight, kernel weight, flesh/seed ratio, shape index, fruit firmness, color index), nutritional (sugars and organic acids) and nutraceutical (total phenolic, total flavonoids, total carotenoid and antioxidant activity) composition of 18 clones of Sekerpare apricot cultivar grown together in Kagizman district in eastern Turkey. Results showed significant differences among clones concerning most of the morphological traits, nutritional and nutraceutical compositions. Fruit weight, flesh/seed ratio and fruit firmness of clones were in range of 23.14–27.11 g, 11.21–13.14 and 3.88–5.11 kg/cm2, respectively. Fruit shape index was slightly similar among all clones which was between 0.95 and 1.03. Citric acid and sucrose were found to be the predominant organic acid and sugar among clones which varied from 728 to 915 mg/100 g and 7.11 to 9.94 g/100 g, respectively. The clone ‘KS2’ exhibited the highest level of total phenol (67.1 mg gallic acid equivalent per 100 g) and antioxidant activity (2.16 μmol trolox equivalent per g). The study confirmed the diversity among Sekerpare clones and effectiveness of combining morphological, nutritional and nutraceutical analyses in assessment of Şekerpare clones and its use for future pre-breeding programs.

Konular

Atıflar

OpenAlex cited_by_count. WoS veya Scopus atıf sayısı değildir; o kaynaklar için ayrı kolon yoktur.

18 atıf

OpenAlex cited_by_count (önbellek / veritabanı)

Yerel katalogda bu makaleye atıf yapan 9 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).

  1. Effect of exogenous essential oil treatments on the storage behaviour of apricot fruit harvested at different altitudes 2023 Atıf 5 · OpenAlex
  2. Evaluation of Wild Raspberry (Rubus idaeus L.) Ecotypes from Northeastern Türkiye 2024 Atıf 2 · OpenAlex
  3. Characterisation of wild red raspberry ecotypes in Northern Anatolia: Insights into sensory, biochemical and antioxidant properties 2024 Atıf 2 · OpenAlex
  4. Characterisation of wild red raspberry ecotypes in Northern Anatolia: Insights into sensory, biochemical and antioxidant properties 2024 Atıf 2 · OpenAlex
  5. Characterisation of wild red raspberry ecotypes in Northern Anatolia: Insights into sensory, biochemical and antioxidant properties 2024 Atıf 2 · OpenAlex
  6. Characterisation of wild red raspberry ecotypes in Northern Anatolia: Insights into sensory, biochemical and antioxidant properties 2024 Atıf 2 · OpenAlex
  7. Optimization of Ethanol Extraction Conditions From Sun‐Dried Apricot and Prediction of Antioxidant, Phenolic, and Flavonoid Contents and Their Effects on HCT116 Cells Using Artificial Neural Networks 2025 Atıf 1 · OpenAlex
  8. Optimization of Ethanol Extraction Conditions From Sun‐Dried Apricot and Prediction of Antioxidant, Phenolic, and Flavonoid Contents and Their Effects on HCT116 Cells Using Artificial Neural Networks 2025 Atıf 1 · OpenAlex
  9. Optimization of Ethanol Extraction Conditions From Sun-Dried Apricot and Prediction of Antioxidant, Phenolic, and Flavonoid Contents and Their Effects on HCT116 Cells Using Artificial Neural Networks 2025 Atıf 1 · OpenAlex

Yazarlar

  1. NEVA KARATAŞ ATATÜRK ÜNİVERSİTESİ
  2. SEZAİ ERCİŞLİ ATATÜRK ÜNİVERSİTESİ
  3. MEHMET RAMAZAN BOZHÜYÜK IĞDIR ÜNİVERSİTESİ