Evaluation of grafting compatibility and prediction modelling in Sapindus mukorossi

Grafting compatibility refers to the successful healing between stock and scion, as well as the normal functioning of their tissues. This article investigates the survival rates and growth conditions of various Sapindus grafting combinations and establishes a new evaluation system for Sapindus grafting compatibility. This system aims to provide theoretical support for predicting Sapindus grafting compatibility and enhancing the development of improved varieties. The study utilizes 15 Sapindus grafting combinations as research materials, assesses their survival rates and growth conditions, employs the CRITIC method to calculate weights, and develops a Sapindus grafting compatibility evaluation model. By analyzing the physiological characteristics of the scion leaves from these 15 grafting combinations, variance analysis, cluster analysis, and linear regression models were utilized to assess the accuracy of the grafting compatibility evaluation model. The results indicate that the growth of grafted plants serves as a critical evaluation index of grafting compatibility, providing a more scientific approach than relying solely on survival rate metrics. This research offers a theoretical foundation and data support for predicting Sapindus grafting compatibility; an effective prediction model will substantially enhance the efficiency of breeding and promoting improved varieties, thereby fostering the growth of the Sapindus industry.

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Publication Details

Journal
Scientific Reports
Published
2025-04-29
DOI
https://doi.org/10.1038/s41598-025-92823-x
Citations
1
Primary Topic
Plant Disease Management Techniques
Type
article
Field-Weighted Citation Impact
1.75

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article

Evaluation of grafting compatibility and prediction modelling in Sapindus mukorossi

Liming Jia, Zhong Chen, Lixian Wang, Yangmei Liao et al.
1 citations
Scientific Reports
Plant Disease Management Techniques
1.75
article

Evaluation of grafting compatibility and prediction modelling in Sapindus mukorossi

Liming Jia, Zhong Chen, Lixian Wang, Yangmei Liao, Na Chen
article en
1 citations

Abstract

Grafting compatibility refers to the successful healing between stock and scion, as well as the normal functioning of their tissues. This article investigates the survival rates and growth conditions of various Sapindus grafting combinations and establishes a new evaluation system for Sapindus grafting compatibility. This system aims to provide theoretical support for predicting Sapindus grafting compatibility and enhancing the development of improved varieties. The study utilizes 15 Sapindus grafting combinations as research materials, assesses their survival rates and growth conditions, employs the CRITIC method to calculate weights, and develops a Sapindus grafting compatibility evaluation model. By analyzing the physiological characteristics of the scion leaves from these 15 grafting combinations, variance analysis, cluster analysis, and linear regression models were utilized to assess the accuracy of the grafting compatibility evaluation model. The results indicate that the growth of grafted plants serves as a critical evaluation index of grafting compatibility, providing a more scientific approach than relying solely on survival rate metrics. This research offers a theoretical foundation and data support for predicting Sapindus grafting compatibility; an effective prediction model will substantially enhance the efficiency of breeding and promoting improved varieties, thereby fostering the growth of the Sapindus industry.

Scientific ReportsVol. 15(1)
Beijing Forestry University (CN), State Forestry and Grassland Administration (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 16%
Plant Disease Management Techniques
1.75
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