Evidence map›Paper›PMID 39866322›Full record

ArticleFrontiers in plant science2024

Fruit quality evaluation of different mulberry varieties.

Jie Tian, Haichao Wen, Bingxiang Liu, Xinyuan Tian, Yibo Wu, Jingyan Yang, Bingying Zhang, Hongjiao Li

Abstract read
In one paragraph

Article in Frontiers in plant science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Evaluation ofPlants (Basel, Switzerland) · 2026
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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Jie TianCollege of Forestry, Hebei Agricultural University, Baoding, China.
Haichao WenCollege of Forestry, Hebei Agricultural University, Baoding, China.
Bingxiang LiuCollege of Forestry, Hebei Agricultural University, Baoding, China.
Xinyuan TianFood Science and Technology College, Hebei Agricultural University, Baoding, China.
Yibo WuCollege of Forestry, Hebei Agricultural University, Baoding, China.
Jingyan YangCollege of Forestry, Hebei Agricultural University, Baoding, China.
Bingying ZhangHebei Hongya Mountain State- Owned Forest Farm, Baoding, China.
Hongjiao LiCollege of Forestry, Hebei Agricultural University, Baoding, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The quality of fruits has long been a key focus for breeders, and the development of scientifically sound and reasonable methods for evaluating fruit quality is of great significance in selecting superior cultivars. The mulberry tree, as a plant resource that serves both medicinal and dietary purposes, contains rich nutritional components and various bioactive compounds. These include properties such as immune enhancement, lipid-lowering effects, and anti-tumor activities. Methods: Therefore, to select mulberry varieties with superior quality and adapt to the diversification trends in mulberry development, this study uses 21 mulberry varieties to analyze and compare differences in fruit appearance quality, nutritional quality, functional components, and antioxidant capacity. Principal Component Analysis (PCA) was employed to identify core evaluation indices, and the Entropy Weight Method was used to assign weights based on these core quality indices. Subsequently, Grey Relational Analysis (GRA) was used for a comprehensive evaluation of the fruit quality of the 21 mulberry varieties. Results: The results indicate that, in terms of appearance quality, varieties such as 'Ri Ben Guo Sang', 'Hong Guo 1', 'Lv Shen Zi', 'He Lan Sang', and 'Ju Shen' stand out overall. In terms of nutritional quality, 'Tang 10' has relatively higher levels of free amino acids and soluble proteins, but its solid-acid ratio is the lowest, which affects the taste of the fruit. Overall, varieties such as 'Jiang Mi Guo Sang', 'Bai Shen 2', 'Ji Gui Hua', 'Xiao Bai E', 'Da Bai E', and 'Da Yi Bai' stand out in terms of comprehensive quality. Regarding functional components, the four varieties-'Lv Shen Zi', 'Hei Zhen Zhu', 'He Lan Sang', and 'Da 10'-are prominent across all indicators. In terms of antioxidant capacity, 'Jiang Mi Guo Sang', 'Hong Guo 1', 'Xiao Bai E', 'Da Bai E', and 'Da Yi Bai' rank relatively high, which largely overlaps with the varieties selected for their nutritional quality. Regarding fruit enzyme activity, 'Ri Ben Guo Sang', 'Hong Guo 1', 'Lv Shen Zi 1', 'Lv Shen Zi 2', 'He Lan Sang', and 'Da 10' show high enzyme activities. Finally, based on Principal Component Analysis (PCA), the fruit's appearance quality, nutritional quality, functional components, and antioxidant capacity were categorized into seven principal components, covering 12 indicators, with a cumulative variance contribution rate of 88.424%. The Entropy Weight Method was used to assign weights to these 12 indicators, and the final correlation degree was calculated using Grey Relational Analysis (GRA), with a range from 0.406 to 0.817. Conclusion: This study suggests that varieties such as 'Da 10', 'Feng Guo Sang', 'He Lan Sang', 'Lv Shen Zi', and 'Ri Ben Guo Sang' exhibit superior overall fruit quality and rich nutritional value, providing a theoretical basis for the selection, development, and utilization of future mulberry fruit varieties.

Indexed as

comprehensive evaluationfruit qualitygray relational analysismulberryprincipal component analysis

Identifiers

PMID39866322
PMCPMC11760600

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