Water productivity of maize in the US high plains

Trout, Thomas J.; DeJonge, Kendall C.

doi:10.1007/s00271-017-0540-1

Cited by 89 publications

(93 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Oliveral et al (2016) attempted to test AquaCrop with dry beans using the results of just a single experiment without differential water treatments. The availability of detailed, high-quality experimental data is essential for successful calibration and credible validation of simulation models (Trout and DeJonge, 2017). Two previously unpublished dissertations that reported the results of field experiments conducted in Davis, California, on dry bean responses to a variety of irrigation regimes (Couto, 1978;Resende, 1979) offered a wealth of information that could be used to parameterize the AquaCrop model for dry beans.…”

mentioning

confidence: 99%

Simulation of the Responses of Dry Beans (Phaseolus vulgaris L.) to Irrigation

Espadafor¹,

Couto²,

Resende³

et al. 2017

Transactions of the ASABE

View full text Add to dashboard Cite

show abstract

mentioning

confidence: 99%

Simulation of the Responses of Dry Beans (Phaseolus vulgaris L.) to Irrigation

Espadafor¹,

Couto²,

Resende³

et al. 2017

Transactions of the ASABE

View full text Add to dashboard Cite

show abstract

“…Many crop scientists have proposed that physiologically, biomass production is proportional to transpiration (Arkley, 1963; Briggs and Shantz, 1913; de Wit, 1958; Hanks, 1983; Sinclair et al, 1984; Steduto et al, 2007; Stewart et al, 1977; Tanner and Sinclair, 1983). However, field studies that include substantial deficits have found that the WPF relationship for marketable yield has a negative intercept; in other words, a quantity of ET is consumed before the first unit of marketable yield is produced (Doorenbos and Kassam, 1979; Hanks, 1983; Trout and DeJonge, 2017). This is expected since soil evaporation occurs during germination and early growth and some transpiration is required to create a plant capable of producing marketable yield.…”

Section: Model Developmentmentioning

confidence: 99%

“…Strategically distributed seasonal deficits (i.e., deficits are applied first to the least sensitive growth stages) tend to result in curvilinear WPFs that are concave downward (negative second derivative) because deficits are initially applied at stages when the effect on yield is least, while severe deficits affect more yield‐sensitive stages. Several studies with strategic water deficits have measured concave WPFs (Comas et al, 2019; Geerts and Raes, 2009; Manning et al, 2018; Trout and DeJonge, 2017). In this paper, a univariate crop WPF is used that represents a strategic within‐season distribution of available water to the crop.…”

Section: Model Developmentmentioning

confidence: 99%

An Economic and Biophysical Model of Deficit Irrigation

Trout

Manning

2019

Agronomy Journal

Self Cite

View full text Add to dashboard Cite

Competition for scarce water resources may lead to high water prices. Agricultural producers can adapt to increasing water price by adjusting irrigation management strategies. When water prices are high, deficit irrigation, the purposeful reduction of irrigation to reduce water use while accepting reduced yield, may increase net income. Deficit irrigation decisions depend on economic, biological, and physical conditions. A model based on relationships among the amount and cost of irrigation water applied, water productivity, and the value of water saved and crop yield was developed to assist farmers making deficit irrigation decisions. A model application for irrigated maize (Zia mays L.) production in northeast Colorado illustrates conditions under which deficit irrigation increases net income. High water costs and low crop prices favor deficit irrigation. When water has value for leasing, the combination of deficit irrigation production to reduce water use and water leasing may increase net income. Sufficiently high lease prices and low commodity prices favor rainfed production or fallowing. Core Ideas Deficit irrigation may increase net farm income. Expensive water, low crop prices, and high elasticity of water productivity favor deficit irrigation. Combining economic with biophysical models improves applicability.

show abstract

“…() reported similar results for Morocco, another semi‐arid region. Yet in a research farm in Colorado, Trout and DeJonge () found CWP can be improved when evapotranspiration is decreased by 25%. Sorghum performs better than corn under drought conditions (Farré and Faci, ).…”

Section: Literature Reviewmentioning

confidence: 99%

Sorghum‐Sudangrass Water Productivity Under Subsurface Drip Irrigation

Varzi

Oad

2018

Irrigation and Drainage

View full text Add to dashboard Cite

Growing urban areas and industries tend to acquire water from the agricultural sector in order to satisfy their increasing water demand. As a result, agriculture needs to cope with limited available water for irrigation purposes. Yield response to water is, therefore, a basic piece of information that helps farm management to plan for water shortage. This research has determined the effect of water stress on yield production of sorghum‐sudangrass in semiarid eastern Colorado, USA. The research was conducted in an experimental field equipped with subsurface drip irrigation system during the 2015 and 2016 growing seasons. The goal was to define the functional relationship between crop actual evapotranspiration and marketable yield, or the crop water production function; the results support a linear relationship between the two variables, indicating that the productivity of water stays constant with changes in evapotranspiration. Average crop water productivity for sorghum‐sudangrass was 5.49 kg m‐3 for the 2 years of data, which is higher than water productivity of most forage crops. However, sorghum varieties tend to accumulate nitrogen during drought periods and hay nitrogen toxicity becomes a concern under water stress. The crop water production function developed in this research can be used to predict the effect of water stress on yield loss and consequent farm profit loss, which is essential in planning for water transfer and compensating farmers for forgoing irrigation. © 2018 John Wiley & Sons, Ltd.

show abstract

Water productivity of maize in the US high plains

Cited by 89 publications

References 18 publications

Simulation of the Responses of Dry Beans (Phaseolus vulgaris L.) to Irrigation

Simulation of the Responses of Dry Beans (Phaseolus vulgaris L.) to Irrigation

An Economic and Biophysical Model of Deficit Irrigation

Sorghum‐Sudangrass Water Productivity Under Subsurface Drip Irrigation

Contact Info

Product

Resources

About