ArticleBMC plant biology2025
Indica-Japonica rice intercropping enhances rice productivity by efficiently utilizing the resources.
Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- Explainable artificial-intelligence-based hyperspectral image analysis for leaf disease detection in intercropping system.Frontiers in plant science · 2026Article
- Optimizing Row Ratio Configurations for Enhanced Productivity and Resource-Use Efficiency in Maize-Alfalfa Intercropping.Plants (Basel, Switzerland) · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Intercropping is widely practiced to improve crop yield and resources use efficiency. However, its effect on rice, especially the subspecies rice such as Indica and Japonica intercropping is elusive. A two-year field experiment (2021-2022) was conducted to assess the effects of Indica-Japonica intercropping on rice growth, yield, and quality. Results showed that intercropping increased the leaf area and efficient leaf area of Indica by 45% and 13.5%, and Japonica by 46% and 19% as compared to monocropping. At the system level, Indica-Japonica intercropping improved the yield indices including the number of effective panicles and panicles, spikelet fertility, and 1000-grain weight, leading to higher crop yield (18.5% and 39.5%) and biomass dry matter (51% and 20%) compared to Indica or Japonica under monocropping. The improved photosynthetic rate due to better light environments also contributed to higher intercropping crop yield. Though intercropping reduced the brown rice quality and chalkiness, but improved head mild rice rate. The higher LER (1.25), LEC (0.36), SPI (13.2), ATER (1.22), and LUC (186.86) values confirmed higher productivity and efficient land use under intercropping. The crowding index (K = 3.71) favoured intercropping, with Indica (aggressivity A
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