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PhenologyMMS
model
posted on 2024-02-13, 13:39 authored by Gregory S. McMaster, Debora A. Edmunds, Wallace W. Wilhelm, David C. Nielsen, Pagadala Vara PrasadPhenologyMMS is a simulation model that outlines and quantifies the developmental sequence of different crops under varying levels of water deficits, provides developmental information relevant to each crop, and is intended to be used either independently or inserted into existing crop growth models.
Resources in this dataset:
Resource Title: PhenologyMMS.
File Name: Web Page, url: https://www.ars.usda.gov/research/software/download/?softwareid=238&modecode=30-12-30-25
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Funding
USDA-ARS
History
Data contact name
McMaster, Gregory S.Data contact email
Greg.McMaster@ars.usda.govPublisher
United States Department of AgricultureTheme
- Not specified
ISO Topic Category
- farming
National Agricultural Library Thesaurus terms
models; simulation models; crops; crop models; computer software; phenology; growth and development; environmental factors; soil water; plant available water; winter wheat; winter; spring wheat; Triticum aestivum; spring barley; Hordeum vulgare; corn; Zea mays; Sorghum bicolor; Sorghum (Poaceae); Panicum miliaceum subsp. miliaceum; Panicum; hay; Setaria italica; Helianthus annuus; algorithms; cultivars; field experimentation; prediction; crop managementOMB Bureau Code
- 005:18 - Agricultural Research Service
OMB Program Code
- 005:040 - National Research
Primary article PubAg Handle
Pending citation
- No
Public Access Level
- Public
Preferred dataset citation
McMaster, Gregory S.; Edmunds, Debora A.; Wilhelm, Wallace W.; Nielsen, David C.; Prasad, Pagadala Vara (2019). PhenologyMMS. United States Department of Agriculture.Usage metrics
Keywords
modelssimulation modelscropscrop modelscomputer softwarephenologygrowth and developmentenvironmental factorssoil waterplant available waterwinter wheatwinterspring wheatTriticum aestivumspring barleyHordeum vulgarecornZea maysSorghum bicolorSorghum (Poaceae)Panicum miliaceum subsp. miliaceumPanicumhaySetaria italicaHelianthus annuusalgorithmscultivarsfield experimentationpredictioncrop management
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