Your browser doesn't support javascript.
loading
Testing a Simulation Model for the Response of Tomato Fruit Quality Formation to Temperature and Light in Solar Greenhouses.
Qin, Yongdong; Gong, Ao; Liu, Xigang; Li, Nan; Ji, Tuo; Li, Jing; Yang, Fengjuan.
Afiliação
  • Qin Y; College of Horticulture Science and Engineering, Shandong Agricultural University, Tai'an 271018, China.
  • Gong A; College of Information Science and Engineering, Shandong Agricultural University, Tai'an 271018, China.
  • Liu X; College of Horticulture Science and Engineering, Shandong Agricultural University, Tai'an 271018, China.
  • Li N; College of Horticulture Science and Engineering, Shandong Agricultural University, Tai'an 271018, China.
  • Ji T; College of Horticulture Science and Engineering, Shandong Agricultural University, Tai'an 271018, China.
  • Li J; Key Laboratory of Biology and Genetic Improvement of Horticultural Crop (Huang-Huai Region), Ministry of Agriculture and Rural Affairs, Tai'an 271018, China.
  • Yang F; College of Horticulture Science and Engineering, Shandong Agricultural University, Tai'an 271018, China.
Plants (Basel) ; 13(12)2024 Jun 15.
Article em En | MEDLINE | ID: mdl-38931093
ABSTRACT
Temperature and light are the key factors affecting the formation of tomato fruit quality in greenhouse cultivation. However, there are few simulation models that examine the relationship between tomato fruit quality formation and temperature and light. In this study, a model was established that investigated the relationships between soluble sugar (SSC), organic acid content (OAC), and SSC/OAC and the cumulative product of thermal effectiveness and photosynthetically active radiation (TEP) during the fruit-ripening period in a solar greenhouse. The root mean square error (RMSE) values were calculated to compare the consistency between the simulated and measured values, and the RMSE values for SSC, OAC, and SSC/OAC were 0.09%, 0.14%, and 0.358, respectively. The combined weights of quality indicators were obtained using the analytic hierarchy process (AHP) and entropy weighting method, ranking as SSC > OAC > SSC/OAC > CI > lycopene > Vc > fruit firmness. The comprehensive fruit quality evaluation value was obtained using the TOPSIS method (Technique for Order Preference by Similarity to an Ideal Solution) and a simulation model between comprehensive tomato fruit quality and TEP was explored. This study could accurately simulate and quantify the accumulation of tomato fruit quality during fruit ripening in response to environmental conditions in a solar greenhouse.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Plants (Basel) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Plants (Basel) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China
...