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Agronomy 2016, 6(4), 44; doi:10.3390/agronomy6040044

Simulating the Probability of Grain Sorghum Maturity before the First Frost in Northeastern Colorado

1
Water Management and Systems Research Unit, USDA-ARS, Fort Collins, CO 80526, USA
2
Department of Soil and Crop Sciences, Colorado State University, Fort Collins, CO 80523, USA
3
Central Plains Resources Management Research Unit, USDA-ARS, Akron, OH 80720, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Philippe Debaeke
Received: 11 August 2016 / Revised: 16 September 2016 / Accepted: 19 September 2016 / Published: 27 September 2016
(This article belongs to the Special Issue Practical Use of Crop Models in Agronomy)
View Full-Text   |   Download PDF [2424 KB, uploaded 27 September 2016]   |  

Abstract

Expanding grain sorghum [Sorghum bicolor (L.) Moench] production northward from southeastern Colorado is thought to be limited by shorter growing seasons due to lower temperatures and earlier frost dates. This study used a simulation model for predicting crop phenology (PhenologyMMS) to estimate the probability of reaching physiological maturity before the first fall frost for a variety of agronomic practices in northeastern Colorado. Physiological maturity for seven planting dates (1 May to 12 June), four seedbed moisture conditions affecting seedling emergence (from Optimum to Planted in Dust), and three maturity classes (Early, Medium, and Late) were simulated using historical weather data from nine locations for both irrigated and dryland phenological parameters. The probability of reaching maturity before the first frost was slightly higher under dryland conditions, decreased as latitude, longitude, and elevation increased, planting date was delayed, and for later maturity classes. The results provide producers with estimates of the reliability of growing grain sorghum in northeastern Colorado. View Full-Text
Keywords: Sorghum bicolor; phenology; physiological maturity; simulation model Sorghum bicolor; phenology; physiological maturity; simulation model
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

McMaster, G.S.; Edmunds, D.A.; Jones, S.M.; Johnson, J.J.; Vigil, M.F. Simulating the Probability of Grain Sorghum Maturity before the First Frost in Northeastern Colorado. Agronomy 2016, 6, 44.

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