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- W2419197344 abstract "Improved understanding of grass developmental responses to environmental conditions can lead to more reliable predictions of herbage production, and may help in the design of plants that are better matched to their environment. There are modules in most crop growth models to simulate plant phenological development but not to model grass development on natural grassland. An algorithm to quantify the relationship between phenology and environmental factors including temperature, photoperiod and soil moisture was proposed in this paper. A dataset of phenological observation for four natural perennial grass species: Allium anisopodium, Stipa baicalensis, Cleistogenes squarrosa and Artemisia frigida from 1995 to 2007 was used to validate the model. The results showed that the model could simulate phenology of the species with acceptable accuracy." @default.
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- W2419197344 date "2012-09-25" @default.
- W2419197344 modified "2023-09-27" @default.
- W2419197344 title "SIMULATION OF GRASS PHENOPHASES IN INNER MONGOLIA, CHINA" @default.
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