Construction and application of variety resources evaluation system for <i>Crassulaceae</i> plants

CHEN Yiquan; LUO Yuanhua; WU Jianshe; LIN Bing; YE Xiuxian

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CHEN Y Q, LUO Y H, WU J S, et al. Construction and application of variety resources evaluation system for Crassulaceae plants [J]. Fujian Journal of Agricultural Sciences，2024，39（X）：1−11

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CHEN Y Q, LUO Y H, WU J S, et al. Construction and application of variety resources evaluation system for Crassulaceae plants [J]. Fujian Journal of Agricultural Sciences，2024，39（X）：1−11

CHEN Y Q, LUO Y H, WU J S, et al. Construction and application of variety resources evaluation system for Crassulaceae plants [J]. Fujian Journal of Agricultural Sciences，2024，39（X）：1−11

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Construction and application of variety resources evaluation system for Crassulaceae plants

1.
Fujian Engineering Research Center for Characteristic Floriculture, Institute of Crop Sciences/Fujian Germplasm Resources Center, Fujian Academy of Agricultural Sciences, Fuzhou　350013, China

Received Date: 2023-11-27
Rev Recd Date: 2024-01-10

Available Online: 2024-03-28

Abstract

Abstract

: Objective To construct a comprehensive evaluation system for Crassulaceae variety resources, screen suitable varieties for cultivation in Fujian Province and provide theoretical basis for the scientific introduction and promotion of succulent plant cultivation. Method Based on the horticultural traits of 48 succulent plant varieties, the AHP hierarchical analysis method and K-Means clustering analysis method were used to construct a comprehensive evaluation system and classify the variety grades for Crassulaceae varieties from three aspects: ornamental quality, adaptability and potential application value. Result The AHP Analytic Hierarchy Process (AHP) determined 14 personality traits as evaluation indicators, with the weight of 5 factors including leaf color, degree of mesophyll texture, summer adaptability, shape and appearance, and flowering period accounting for 61.2% of the total ranking. They are the key factors for evaluating the comprehensive value.The K-Means clustering analysis method divided 48 varieties into four levels: excellent, good, medium, and average. Seven superior varieties, including Echeveri agavoides 'Ebony' , Graptopetalum 'Purple Delight', Echeveria ‘Alba Beauty’, Graptoveria 'Opalina', Echeveria nodulosa, x Sedeveria 'Blue Elf' and Echeveria 'Peach Pride' are excellent at level I, while 14 superior varieties including Crassula rupestris f. are good at level II, accounting for 43.75% of the total varieties. It can be focused on breeding and promoting cultivation. Conclusion Applying AHP and K-Means clustering analysis method to construct a comprehensive evaluation system for the Crassulaceae plants, which effectively meets the requirements of comprehensive evaluation for Crassulaceae varieties. The evaluation results are basically consistent with the field observation results of cultivation experiments. This evaluation system can provide reference for the planting and selection of succulent plants.
- Crassulaceae plants,
- Analytic Hierarchy Process (AHP),
- Comprehensive evaluation,
- Screening

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References(36)

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