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Chinese Agricultural Science Bulletin ›› 2023, Vol. 39 ›› Issue (19): 44-50.doi: 10.11924/j.issn.1000-6850.casb2022-0532

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Study on the Condition Optimization for Pollen Vitality Test of Kiwifruit

XU Da1(), WANG Mengqin1, DONG Yunlong1, ZHANG Yunfeng1,2()   

  1. 1 School of Life Sciences, Yunnan Normal University, Kunming 650500
    2 Engineering Research Center of Sustainable Development and Utilization of Biomass Energy, Ministry of Education, Kunming 650500
  • Received:2022-07-04 Revised:2023-01-10 Online:2023-07-05 Published:2023-07-03

Abstract:

Artificial supplementary pollination is one of the important technical guarantees for efficient cultivation of kiwifruit, and the pollen quality is the top limiting factor for artificial pollination during the cultivation. Based on the orthogonal experiment and the response surface design, the condition optimization for pollen vitality test with TTC staining was studied with differential pollen samples of kiwifruit purchased from e-commerce platforms. Meanwhile, the correlations of pollen vitality with in vitro germination rate of pollen and fruit setting rate were analyzed. The results showed that the pollen amount, pollen vigor, germination rate and fruit setting rate had obvious differences among the pollen samples. The best condition for TTC staining test of kiwifruit pollen vitality was TTC concentration of 0.7%, dyeing temperature of 30℃, and dyeing time of 25 min. The optimum condition for pollen germination was boric acid of 0.2% and sucrose content of 15%. The results also showed that the pollen germination rate and fruit setting rate had high correlation during artificial pollination, but the pollen vitality and the germination rate was not well consistent. And some pollen samples bought from e-commerce platforms had low pollen vitality and low fruit setting rate. Therefore, the on-line business of agricultural production materials should be well managed and supervised.

Key words: kiwifruit, pollen amount, pollen vitality, in vitro germination, response surface analysis