Physical Modeling of U.S. Cotton Yields and Climate Stresses during 1979 to 2005

Liang, Xin‐Zhong; Xu, Min; Gao, Wei; Reddy, K. Raja; Kunkel, Kenneth E.; Schmoldt, Daniel L.; Samel, Arthur N.

doi:10.2134/agronj2011.0251

Cited by 21 publications

(15 citation statements)

References 31 publications

(33 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Similarly, short fiber content and seed coat neps exhibited quadratically declining trends with an increase in temperature, while immature fiber content declined linearly with temperature. The identified temperature‐specific fiber quality indices can be incorporated in cotton simulation models to improve management practices under present and future enhanced temperature levels (Thorp et al, 2014; Liang et al, 2012). However, the influence of soil moisture stress (Lokhande and Reddy, 2014) and nutrients (Reddy et al, 2004) are needed to account other stresses in the production environment with variable weather, soil moisture, and nutrient conditions (Snowden et al, 2013).…”

Section: Discussionmentioning

confidence: 99%

“…Cotton reproductive performance is mostly determined by fruit setting, retention, and boll weight. Studies conducted in controlled environmental experiments by Reddy et al (1992a, 1992b; 1993, 1997a, 1997b) have quantified several growth and developmental aspects of upland cotton and many of those functions have been incorporated into cotton simulation model, GOSSYM, for field and climate change impact analysis (Liang et al, 2012; Reddy et al, 2002). However, the improved model of GOSSYM and other cotton models in the market do not have fiber modeling components for effective use in the production environment to optimize fiber quality (Thorp et al, 2014).…”

mentioning

confidence: 99%

See 1 more Smart Citation

Quantifying Temperature Effects on Cotton Reproductive Efficiency and Fiber Quality

Lokhande

Reddy

2014

Agronomy Journal

Self Cite

View full text Add to dashboard Cite

Quantitative functional relationships between temperature and fiber quality are needed to improve predictive capability of cotton (Gossypium hirsutum L.) models. An experiment was conducted by varying day/night temperatures, 22/14, 26/18, 30/22, and 34/26°C, imposed at flowering. Upland cotton cultivar, TM-1, was seeded in the soil bins using fine sand as the rooting medium and allowed to grow under optimum water and nutrients. Flowers and bolls were tagged daily to estimate the boll maturation period. Plant height and node numbers were recorded from emergence to 21 d after treatment. Stem, leaf, boll dry weights, and boll numbers were recorded at maturity. Measured fiber quality parameters were regressed against temperature to develop mathematical functions for modeling. The optimum temperature for biomass was between 18.1 and 21.5°C and biomass declined by 10% at 25.5°C and 19% at 29.5°C. More bolls were produced at 25.5°C, but declined sharply at 29.5°C. Reproductive potential, boll mass per unit total weight, peaked at 25.5°C and was lower by 21% at 18.1°C and 53% at 29.5°C. Fiber micronaire and uniformity increased with temperature up to 26°C and declined at higher temperature, while fiber strength increased linearly with temperature. Fiber length increased linearly from 18 to 22°C, and declined at higher temperatures. Fiber micronaire was more responsive to changes in temperature followed by strength, length, and uniformity. The functional relationships between temperature and fiber properties will be useful to optimize management decisions such as planting dates and to develop fiber submodel under optimal water and nutrient conditions.

show abstract

Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

Quantifying Temperature Effects on Cotton Reproductive Efficiency and Fiber Quality

Lokhande

Reddy

2014

Agronomy Journal

Self Cite

View full text Add to dashboard Cite

show abstract

“…But, more importantly, the effects of UV‐B radiation could be incorporated into a mechanistic model that responds appropriately to environmental conditions and accurately predicts corn responses to weather variables. Such an approach has previously been used by others in the crop‐simulation model of cotton, GOSSYM (Reddy et al, 2003; Liang et al, 2012a, 2012b).…”

Section: Discussionmentioning

confidence: 99%

Quantifying Corn Growth and Physiological Responses to Ultraviolet‐B Radiation for Modeling

Reddy

Singh

Koti³

et al. 2013

Agronomy Journal

Self Cite

View full text Add to dashboard Cite

To understand the consequences of rising levels of ultraviolet‐B (UV‐B) radiation on corn (Zea mays L.), two experiments were conducted using sunlit growth chambers at a wide range of UV‐B radiation levels. Corn hybrids, Terral‐2100 and DKC 65‐44, were grown in 2003 and 2008, respectively, at four UV‐B levels (0, 5, 10, and 15 kJ m–2 d–1) at 30/22°C, from 4 d after emergence to 43 d under optimum nutrient and water conditions. Plant growth, development, and photosynthetic rates were measured regularly. An inverse relationship between many growth process and dosage of UV‐B radiation was recorded. Shorter plants were due to shorter internodal lengths rather than fewer internodes and the total leaf area was less due to smaller leaves. Lower biomass under enhanced UV‐B was closely related to smaller leaf area and lower photosynthesis. Critical UV‐B limits, defined as 90% of optimum or control, were estimated from the UV‐B response indices. The critical limits for stem extension and leaf area expansion were lower in both hybrids (1.7–3.5 kJ m–2 d–1) than the critical limit for leaf number (>15 kJ m–2 d–1) and photosynthetic processes, indicating that expansion or extension rates of organs were the more sensitive to UV‐B radiation. Hybrid Terral‐2100 exhibited greater sensitivity to UV‐B radiation than DKC 65‐44 for studied parameters. Thus, both current and projected UV‐B radiation can adversely affect corn growth. The functional algorithms developed in this study could be useful to enhance the corn models to predict accurately field performance.

show abstract

“…However, potential temperatures-specific fiber quality indices under optimum water and nutrient conditions [31] [48], nitrogen-specific [49] indices under optimum water and temperature conditions, and water deficit-specific [50] indices under optimum nutrient and temperature conditions are needed to develop a fiber model for cotton. Models equipped with fiber quality would be useful not only in production optimization of natural resources such as water and nutrients, but also in assisting planting dates in the current environment and in policy decisions for the hypothesized changes in future climate [51].…”

Section: Resultsmentioning

confidence: 99%

Reproductive Performance and Fiber Quality Responses of Cotton to Potassium Nutrition

Lokhande¹,

Reddy²

2015

AJPS

Self Cite

View full text Add to dashboard Cite

Potassium (K) deficiency affects cotton growth and development and fiber properties. An experiment was conducted in an outdoor pot culture facility by imposing four potassium stress treatments (100%, 40%, 20% and 0% of optimum K level) prior to flowering during 2010 and 2011 growing season. Upland cotton cultivar, TM-1, was seeded in the pots comprised of fine sand as rooting medium. Flowers and bolls were tagged daily to estimate boll maturation period (BMP). Leaf samples were collected every four days from flowering to maturity to estimate leaf K content. Plant height and node numbers were recorded from emergence to 21 days after treatment. Photosynthesis and stomatal conductance were measured weekly from day of treatment imposition to physiological maturity at an interval of seven days. Stem, leaf, and boll dry-component weights, and boll numbers were recorded at the end of the experiment in each year. From each boll, the lint samples were collected and grouped based on average leaf potassium concentration during BMP, and fiber quality parameters were recorded for each group in each treatment. At high K deficient (0 K) condition, total biomass declined by 27% and 28% in years 2010 and 2011, respectively. Significantly, lower numbers of bolls were retained per plant at 0 K stress treatment during both the years. Leaf photosynthesis (r 2 = 0.92) and stomatal conductance (r 2 = 0.80) declined with declining leaf K levels. Fiber length, strength, micronaire, and uniformity declined linearly with decrease in leaf K content. Weaker fibers with medium length were produced under K-deficient conditions with micronaire values in the discount range. Fiber uniformity, however, did not decline with decrease in leaf K. The identified leaf K status-specific relationships for fiber properties could be used to improve management practices under potassium deficiency and to develop new sub-routines of the existing cotton simulation models. New and improved models will be useful not only in management, but also in arena of policy decisions including future climate change impact assessment analysis.

show abstract

Physical Modeling of U.S. Cotton Yields and Climate Stresses during 1979 to 2005

Cited by 21 publications

References 31 publications

Quantifying Temperature Effects on Cotton Reproductive Efficiency and Fiber Quality

Quantifying Temperature Effects on Cotton Reproductive Efficiency and Fiber Quality

Quantifying Corn Growth and Physiological Responses to Ultraviolet‐B Radiation for Modeling

Reproductive Performance and Fiber Quality Responses of Cotton to Potassium Nutrition

Contact Info

Product

Resources

About