2009
DOI: 10.4141/cjps07114
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Thermal time models for estimating wheat phenological development and weather-based relationships to wheat quality

Abstract: . 2009. Thermal time models for estimating wheat phenological development and weather-based relationships to wheat quality. Can. J. Plant Sci. 89: 429Á439. Accurate prediction of crop phenology is a key requirement for crop development models. The prediction of spring wheat yield and quality from meteorological data can be improved by quantifying heat and moisture conditions during specified phenological phases; therefore, accurate prediction of phenological development is important for estimating weather impa… Show more

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Cited by 42 publications
(25 citation statements)
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“…Cooler temperature at stem elongation and booting stage increased its calendar days by 3 and 5 for respective stage to complete their required growing degree days and switch to next stage in 2011-12 as compared to 2010-11. These results are in a good agreement with the findings of Saiyed et al (2008) who stated that crop phenology is a function of growing degree days (GDD).…”
Section: Discussionsupporting
confidence: 92%
“…Cooler temperature at stem elongation and booting stage increased its calendar days by 3 and 5 for respective stage to complete their required growing degree days and switch to next stage in 2011-12 as compared to 2010-11. These results are in a good agreement with the findings of Saiyed et al (2008) who stated that crop phenology is a function of growing degree days (GDD).…”
Section: Discussionsupporting
confidence: 92%
“…Monitoring the phenological changes in croplands could enhance our understanding of the adaptation of crops to their environments [ Tao et al ., ; Salazar‐Gutierrez et al ., ] and help regulate the dates for timely crop management [ Mirjana and Vulić , ; Zhou et al ., ]. Additionally, phenological information is critical to the development of dynamic crop simulations [e.g., He et al ., ], and it improves the prediction of sustainability and quality of crop production [ Saiyed et al ., ]. Moreover, vegetation phenology and associated seasonal canopy development exert strong impacts over the land surface energy budget (e.g., surface albedo and energy partitioning) [ Moulin et al ., ; H. Wang et al ., 2015].…”
Section: Introductionmentioning
confidence: 99%
“…Crops like canola and wheat with lower threshold growth temperatures (58C) tend to have lower spatial variability throughout the eastern prairies (Ash et al 1993). GDD measures the combined effects of temperature and growing season length and provides a useful approach for estimating wheat phenological development (Saiyed et al 2009). Since GDD does not adequately account for the effects of extreme temperatures, we constructed another weather variable (number of days in the growing season with temperatures .…”
Section: Data Description and Sourcesmentioning
confidence: 99%