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Data for the calibration of STICS and yield gap analysis for maize, groundnut cowpea and pigeon pea in Murehwa district, sub-humid Zimbabwe published in "Identifying the drivers of yield gaps for maize and legumes in Zimbabwean smallholder farms using locally calibrated crop modelling"

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DataCite Commons2025-07-08 更新2026-03-29 收录
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https://dataverse.cirad.fr/citation?persistentId=doi:10.18167/DVN1/BDKC6D
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资源简介:
The dataset contains data on the growth of maize, groundnut, cowpea and pigeon pea collected during two growing seasons in on-farm trials in the Murehwa district, sub-humid Zimbabwe. The observed climate data for the experimental seasons is provided, along with basic soil characteristics. Crop management (planting date, date of field operations) is also described, as well as initial conditions prior to planting. Eventually, observations of in-season leaf area index (when available), soil water (when available), biological nitrogen fixation (when available), crop nitrogen content (when available), aboveground biomass and grain yield at harvest (and biomass at flowering when available) are provided. Scores of weed infestation, pest and disease occurrence, waterlogging occurrence and phosphorus deficiency occurrence are included. There is one simulation unit for each combination of crop, soil and climate, identified by an unique key (see usms file)
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CIRAD Dataverse
创建时间:
2025-06-12
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