2004
DOI: 10.1614/ws-03-067
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Predicting timing of downy brome (Bromus tectorum) seed production using growing degree days

Abstract: Downy brome in dryland winter wheat presents a major constraint to the adoption of reduced tillage cropping systems in the Pacific Northwest of the United States. Effective suppression of downy brome during fallow periods depletes seed in the soil and reduces infestations in subsequent winter wheat crops. Delayed tillage operations or delayed herbicide applications in the spring increase the risk for production of viable downy brome seed during fallow periods. In a series of studies, downy brome panicles were … Show more

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Cited by 23 publications
(21 citation statements)
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“…We calculated several climate variables used for survival models. Growing degree days (GDD) were estimated as the number of degrees above 5º C for each mean daily temperature (Ball et al, 2004), summed over the growing season (beginning 1 March and ending with the tracking date of that year). We also developed a dryness index, which was the GDD for that year divided by the cumulative spring precipitation since the 1 March beginning of the growing season.…”
Section: Model Developmentmentioning
confidence: 99%
“…We calculated several climate variables used for survival models. Growing degree days (GDD) were estimated as the number of degrees above 5º C for each mean daily temperature (Ball et al, 2004), summed over the growing season (beginning 1 March and ending with the tracking date of that year). We also developed a dryness index, which was the GDD for that year divided by the cumulative spring precipitation since the 1 March beginning of the growing season.…”
Section: Model Developmentmentioning
confidence: 99%
“…GDD were calculated using a standard GDD model for C 3 grasses (Ball et al, 2004;Klepper et al, 1988)…”
Section: Phenologymentioning
confidence: 99%
“…In the literature, Bt values = 0 o C are usually considered for weeds and crops in temperate climate, such as barley (Hordeum vulgare) and wheat (Triticum aestivum) (Cao & Moss, 1989;Kirkby, 1995;Shirtliffe et al, 2000;Ball et al, 2004), while for sunflower (Helianthus annuus), Granier & Tardieu (1998) (Kish & Ogle, 1980;Medeiros et al,. 2000), for corn crops (Gadioli et al, 2000), and for forage Panicum virgatum (Sanderson & Wolf, 1995 The ability to predict phenological stages, such as flowering and development and dispersal of weed seeds, may aid the development of management practices (Ghersa & Holt, 1995).…”
Section: Resultsmentioning
confidence: 99%