Environmental and Genetic Approaches to Lower Greenhouse Heating Costs

March 13, 2012 - 12:07

Discover new strategies for reducing rising energy costs.

Figure 1. Average daily temperature and light integral (DLI) influence crop timing of floriculture crops.

Energy is typically the second largest overhead cost in the production of greenhouse ornamentals. For the past several years, one of our major research thrusts has been to reduce heating inputs as well as reduce electricity costs through more efficient lighting strategies and technologies. To lower energy costs for greenhouse heating, we have taken two approaches. Erik Runkle, former graduate student Matthew Blanchard, and current graduate student Tasneem Vaid have focused on reducing energy costs on a daily and per-crop basis by optimizing greenhouse temperature on a species- and seasonal-basis. Ryan Warner and former graduate students Aaron Walworth and Joseph Tychonievich have developed genetic resources to help facilitate the breeding of crops that flower earlier.

Managing Day/Night Temperature

Crops develop in response to the average daily temperature. Therefore, plants develop slower when the night temperature is lowered unless that decrease is compensated by raising the day temperature. Approximately three-fourths of the energy consumed for heating a greenhouse is at night, since the temperature outside is usually lower at night, and since there is no thermal gain from the sun. Therefore, a positive DIF (warmer day than night) can lower fuel costs on a daily basis. Using estimates from the computer software Virtual Grower (www.virtualgrower.net), approximately 10 to 25 percent less fuel is consumed by growing plants at a cooler night and warmer day than vice-versa. A potential negative consequence of this strategy is that a positive DIF promotes stem elongation. In addition, the relative humidity at night can increase when temperature is decreased, since air can hold less water vapor at a lower temperature.

Managing Temperature on a Per-Crop Basis

Flowering time depends on a number of factors, including the crop variety, maturity of the plug or liner at transplant, photoperiod, light quantity, application of growth regulators, and especially temperature. Until recently, surprisingly little research-based information has been available on how temperature influences crop timing of many of the major floriculture crops grown in the United States. Breeding companies often have culture sheets for their crops, but
temperature recommendations and crop timing information are usually vague.

We have been quantifying how temperature influences flowering of a wide range of bedding plants (Table 1). For example, time from transplant of 288-cell plugs of snapdragon ‘Liberty Classic Cherry’ grown under long days took 46 days at 63° F but only 36 days at 68° F. This kind of information can help growers schedule crops so that they flower on time and, with Virtual Grower, enables one to determine the energy inputs for heating on a per-crop basis. The specific crop times can be especially useful for growers who have little or no experience growing that specific crop.

For growers with experience growing a crop, the relative differences in flowering time at different temperatures can be more useful. For example, a 5° F decrease in temperature, from 68 to 63° F, caused a 28 percent delay in flowering of snapdragon. If a grower typically produced this crop in flower in 30 days at 68° F (for example, if light levels were high or a larger plug was used), then a 28 percent delay in flowering time at 63° F would equate to eight days (flowering in 38 days at 63° F) under their growing conditions. The relative delay in flowering can be predicted for over 60 floriculture crops using Flowers OnTime, which is a decision-support tool that can be downloaded under the “Grower resources” tab at http://floriculturealliance.org.

We have also been investigating how the daily light integral (DLI) interacts with temperature to influence cropping time. Once the average DLI is at least 10 mol∙m-2∙d-1, additional increases in light have a relatively small impact on flowering time. However, without supplemental high-intensity lighting, light is a limiting factor for many crops until early spring (February in the South and March in the North). This means that, at the same air temperature, flowering is progressively delayed under lower light levels, as evident in petunia (Figure 1).

Developing Earlier Flowering Crops

Optimizing the production environment to minimize energy usage is critical for improving production efficiency of currently available varieties. Breeding varieties that flower earlier under ‘suboptimal’ environments, such as cool temperatures and low DLIs common in northern temperate production areas, is a promising long-term strategy to improve the energy efficiency of greenhouse crop production. Crop production time is a function of the rate of development, i.e. leaf unfolding rate, and when the transition from vegetative growth to flowering occurs, which is usually dependent on unfolding a certain number of leaves and exposure to a particular photoperiod. Therefore, earlier flowering can be achieved either by increasing the leaf unfolding rate or by developing varieties that form fewer nodes before flowering (i.e. reducing the juvenile phase length).

Although lowering temperature reduces rate of development of all crops, not all species react similarly; some crops show more delay than others (Table 1). Even different cultivars within the same species exhibit different responses to temperature, suggesting a genetic basis for this trait that can be exploited to breed faster developing cultivars.

Petunia (Petunia x hybrida) is a hybrid between the species Petunia axillaris and Petunia integrifolia. We previously determined that both of these species have faster leaf unfolding rates than a broad panel of current grandiflora-type petunia cultivars, particularly at cooler production temperatures (Figure 2). For example, at 63° F, leaf unfolding rates of several petunia species and P. x hybrida cultivars varied between 0.18 and 0.40 leaves per day, with P. axillaris unfolding leaves at more than twice the rate of some cultivars! Leaf unfolding rates of both P. axillaris and P. integrifolia were considerably higher than any of the modern cultivars. Because modern garden petunias are a hybrid of P. axillaris and P. integrifolia, it is feasible to breed desirable traits from these species into commercial petunia genetics.

We have developed interspecific hybrid populations between several petunia species and are using these populations to identify molecular genetic markers for fast leaf unfolding rate. We will be working with floriculture industry breeders to utilize these markers to develop earlier flowering varieties and to educate industry breeders in the use of marker-assisted breeding.

Developing crops with increased development rates will allow production at cooler temperatures, which has the potential to considerably reduce greenhouse fuel usage and costs. Alternatively, growth at warmer temperatures could allow for more crop turns through the greenhouse each season. While this research has been focused on earlier flowering under suboptimal environments, the genetic mapping populations we are developing will be useful for industry breeders to improve many other crop quality and performance traits.
Acknowledgements: We thank the USDA-ARS Floriculture and Nursery Research Initiative and the USDA Specialty Crops Research Initiative for their financial support. Funding has also been provided by MSU’s Project GREEEN and horticulture companies supportive of MSU Floriculture research

About The Author

Erik Runkle is associate professor and floriculture extension specialist and Ryan Warner is associate professor in Michigan University’s department of horticulture. Runkle can be reached at runkleer@msu.edu and Warner can be reached at warnerry@msu.edu.

Leave A Comment

  • Web page addresses and e-mail addresses turn into links automatically.
  • Allowed HTML tags: <a> <em> <strong> <cite> <code> <ul> <ol> <li> <dl> <dt> <dd>
  • Lines and paragraphs break automatically.

More information about formatting options

By submitting this form, you accept the Mollom privacy policy.
Email Subscriptions