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Chinese Agricultural Science Bulletin ›› 2023, Vol. 39 ›› Issue (16): 29-34.doi: 10.11924/j.issn.1000-6850.casb2022-0478

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Effects of Foliar Spraying of Selenium Fertilizer on Selenium Content and Fruit Quality of ‘Shine-Muscat’ Grape

GAO Zhan(), LIU Xicun, ZHANG Yuhong, HUANG Jinhua(), ZHU Hongcai, ZHAO Yang, LIU Zhenyu, HU Ning, LI Dong, JIN Yuman   

  1. Xinxiang Academy of Agricultural Sciences, Xinxiang, Henan 453000
  • Received:2022-06-15 Revised:2022-11-10 Online:2023-06-05 Published:2023-05-22

Abstract:

In this experiment, the effects of foliar spraying of selenium fertilizer on the selenium content in leaves, branches and fruits of ‘Shine-Muscat’ grape, as well as fruit quality were discussed, to provide a theoretical basis for the cultivation of selenium-enriched ‘Shine-Muscat’ grape. ‘Shine-Muscat’ grape was used as the experimental material, and the amino acid selenium rich fertilizer was selected as selenium source and applied at six concentrations (0, 10, 20, 30, 40 and 50 mg/L). During the fruit enlargement period, which was 15 days after the flower dropping, the fertilizer was sprayed, and the second time spraying was conducted after another 15 days. The results showed that the content of selenium in leaves, branches and fruits of ‘Shine-Muscat’ grapes increased with the increase of selenium application concentration. In the fruits, the content of soluble solids, protein, vitamin C and total soluble sugar increased, while the titratable acid content decreased. According to principal component analysis, the ranking of comprehensive evaluation scores of the application concentrations from high to low was 50 mg/L>40 mg/L>30 mg/L>20 mg/L>10 mg/L>0 mg/L, respectively. Taken together, the selenium content and fruit quality of ‘Shine-Muscat’ grape are the best by spraying 50 mg/L selenium-enriched amino acid fertilizer twice on the leaves during fruit enlargement period under rain-shelter cultivation.

Key words: ‘Shine-Muscat’ grapes, selenium concentration, foliar spraying, selenium content, fruit quality, principal component analysis