Jin Zhang ^1,2

1 Changshan Yudayuan Agricultural Technology Co., Ltd., Changshan, 324200, Zhejiang, China
2 Zhejiang Agronomist College, Hangzhou, 310021, Zhejiang, China
Author    Correspondence author
Computational Molecular Biology, 2026, Vol. 16, No. 4   
Received: 27 May, 2026    Accepted: 30 Jun., 2026    Published: 13 Jul., 2026

This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Rice production in Zhejiang Province is characterized by diverse ecological conditions and complex interactions between genotype and environment, making the selection of suitable rice varieties essential for achieving stable and high yields. This study aims to quantitatively evaluate the growth characteristics and yield performance of different rice varieties under paddy field conditions using computational analysis approaches. A comprehensive framework was established by integrating field observations of growth traits, yield components, dry matter accumulation, and resource utilization efficiency. Dynamic changes in plant height, tillering capacity, leaf area index, canopy structure, and biomass accumulation were analyzed, while statistical models were applied to identify key factors influencing yield formation. Correlation analysis, multiple regression models, and principal component analysis were used to evaluate relationships between growth traits and yield performance. A case study from typical rice-growing regions of Zhejiang Province further demonstrated the applicability of computational approaches for variety evaluation and selection. The results provide insights into the mechanisms underlying varietal differences in growth and productivity and offer a scientific basis for precision rice variety screening and intelligent crop management under modern agricultural systems.

Rice varieties; Growth traits; Yield performance; Computational analysis; Zhejiang paddy fields