Response of Yield and Related Attributes of Upland Cotton to Weather Variables

Ullah, Kalim; Khan, Muhammad Idrees; Mahmood, Zahid; Iqbal, Toheed; Saeed, Muhammad; Haq, Hafiz Abdul; Ahmad, Aftab; Hussain, Sabahat

doi:10.4236/ajps.2017.87118

Cited by 3 publications

(4 citation statements)

References 9 publications

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“…Figure 7 presents the CV of PCLYs for all counties of Oklahoma. Similar to the findings of Constable and Bange (2015) and Ullah et al (2017), the results from this study suggest that inter-annual cotton lint yield variability is more profound in areas that are prone to smaller and more variable heat units.…”

Section: Variability In Potential Cotton Lint Yieldssupporting

confidence: 90%

“…Air temperature for crop growth is generally expressed in heat units, defined as the temperature accumulation occurring within daily lower and upper thresholds (Glade et al, 1996). Several previous studies have shown a strong influence of accumulated heat units on the overall attained cotton yields (Peng et al, 1989;Morrow and Krieg, 1990;Ullah et al, 2017). Cotton lint yield was found to have a strong positive linear relationship with accumulated heat units when water availability was not limiting (Wanjura et al, 2002;Gwathmey et al, 2011;Parthasarathi et al, 2013;Masasi et al, 2020).…”

mentioning

confidence: 88%

“…These windows were used as guidelines to ensure the estimated planting and termination dates were reasonable. Since the planting date is one of the major agronomic factors that affect cotton growth and lint yield (Ullah et al, 2017), an additional analysis was performed to determine the magnitude of change in potential cotton lint yield as a result of planting one week earlier and one week later than the estimated optimum planting date in each year for each county. The crop was terminated on the first date when the average air temperature was equal or less than -2.2°C (first freeze) or on November 11, whichever happened first in each year (Esparza et al, 2007).…”

Section: Cotton Planting and Termination Datesmentioning

confidence: 99%

“…Many studies have reported that air temperature is one of the most critical factors that define crop yield potential (Van Wart et al, 2013a;Ullah et al, 2017). For cotton, air temperature during the growing season has a dominant influence on growing season length.…”

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confidence: 99%

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Assessment of Heat Unit Availability and Potential Lint Yield of Cotton in Oklahoma

Masasi¹,

Taghvaeian²,

Gowda³

et al. 2020

Applied Engineering in Agriculture

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HighlightsWater availability challenges have increased interest in cotton production in Oklahoma.An attempt was made to understand the feasibility of growing cotton in all counties of Oklahoma.Many areas in Oklahoma have sufficient thermal conditions for cotton production.Potential cotton lint yields generally increase from northern to southern areas of the state.Abstract. With the expansion of planted area, Oklahoma is increasingly becoming a major cotton producing state in the United States (U.S.). However, the feasibility of growing cotton in all counties of Oklahoma has not been determined. In this study, a heat unit based model was used to estimate the potential cotton lint yields (PCLYs) for all 77 counties of Oklahoma using 38 years (1981-2018) of air temperature data. PCLYs were estimated for optimal (no stress) conditions. The long-term total heat units (THUs) were more than 1000°C·d in 99% of counties, an indication that many areas in Oklahoma may have conducive thermal conditions for cotton production in most years. Similar to the THUs, the PCLYs generally increased from the northern to the southern counties of the state, and long-term averages ranged from 407 to 2472 kg ha-1. About 97% of the counties achieved long-term average PCLYs of at least 1000 kg ha-1. However, the results showed significant interannual variability of the estimated PCLYs in each county over the 38-year period. Low and high PCLYs mostly coincided with years characterized by cool and warm growing seasons, respectively. Reductions of PCLY ranging from 6% to 29% were observed when planting was delayed by just one week from the optimized planting date. This indicates that cotton producers need to carefully consider planting date to maximize cotton lint yield. As THUs were the only factor considered for calculating PCLYs in this study, future research should incorporate other variables such as rainfall and heat stress to improve PCLY estimations. Keywords: Air temperature, Planting date, Soil temperature, Yield gap, Yield variability.

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Section: Variability In Potential Cotton Lint Yieldssupporting

confidence: 90%

mentioning

confidence: 88%

Section: Cotton Planting and Termination Datesmentioning

confidence: 99%

mentioning

confidence: 99%

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