Evaluation of grafting compatibility and prediction modelling in Sapindus mukorossi
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 Sapin...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-04-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-92823-x |
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| author | Lixian Wang Yangmei Liao Na Chen Liming Jia Zhong Chen |
| author_facet | Lixian Wang Yangmei Liao Na Chen Liming Jia Zhong Chen |
| author_sort | Lixian Wang |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-2745d305d5ae4527bb53d0e7d067b17e |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-2745d305d5ae4527bb53d0e7d067b17e2025-08-20T03:52:20ZengNature PortfolioScientific Reports2045-23222025-04-0115111010.1038/s41598-025-92823-xEvaluation of grafting compatibility and prediction modelling in Sapindus mukorossiLixian Wang0Yangmei Liao1Na Chen2Liming Jia3Zhong Chen4State Key Laboratory for Efficient Production of Forest Resources, Key Laboratory of Silviculture and Conservation of the Ministry of Education, Ministry of Education of Engineering Research Centre for Forest and Grassland Carbon Sequestration, College of Forestry, National Energy R&D Center for Non-food Biomass, Beijing Forestry UniversityState Key Laboratory for Efficient Production of Forest Resources, Key Laboratory of Silviculture and Conservation of the Ministry of Education, Ministry of Education of Engineering Research Centre for Forest and Grassland Carbon Sequestration, College of Forestry, National Energy R&D Center for Non-food Biomass, Beijing Forestry UniversityState Key Laboratory for Efficient Production of Forest Resources, Key Laboratory of Silviculture and Conservation of the Ministry of Education, Ministry of Education of Engineering Research Centre for Forest and Grassland Carbon Sequestration, College of Forestry, National Energy R&D Center for Non-food Biomass, Beijing Forestry UniversityState Key Laboratory for Efficient Production of Forest Resources, Key Laboratory of Silviculture and Conservation of the Ministry of Education, Ministry of Education of Engineering Research Centre for Forest and Grassland Carbon Sequestration, College of Forestry, National Energy R&D Center for Non-food Biomass, Beijing Forestry UniversityState Key Laboratory for Efficient Production of Forest Resources, Key Laboratory of Silviculture and Conservation of the Ministry of Education, Ministry of Education of Engineering Research Centre for Forest and Grassland Carbon Sequestration, College of Forestry, National Energy R&D Center for Non-food Biomass, Beijing Forestry UniversityAbstract 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.https://doi.org/10.1038/s41598-025-92823-xGraft compatibilityModel predictionSapindus |
| spellingShingle | Lixian Wang Yangmei Liao Na Chen Liming Jia Zhong Chen Evaluation of grafting compatibility and prediction modelling in Sapindus mukorossi Scientific Reports Graft compatibility Model prediction Sapindus |
| title | Evaluation of grafting compatibility and prediction modelling in Sapindus mukorossi |
| title_full | Evaluation of grafting compatibility and prediction modelling in Sapindus mukorossi |
| title_fullStr | Evaluation of grafting compatibility and prediction modelling in Sapindus mukorossi |
| title_full_unstemmed | Evaluation of grafting compatibility and prediction modelling in Sapindus mukorossi |
| title_short | Evaluation of grafting compatibility and prediction modelling in Sapindus mukorossi |
| title_sort | evaluation of grafting compatibility and prediction modelling in sapindus mukorossi |
| topic | Graft compatibility Model prediction Sapindus |
| url | https://doi.org/10.1038/s41598-025-92823-x |
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