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Use of Species-specific Controlled-release Fertilizer Rates to Manage Growth and Quality of Container Nursery Crops

Authors:
Mary Jane Clark1Vineland Research and Innovation Centre, 4890 Victoria Avenue North, Box 4000, Vineland Station, ON, L0R 2E0, Canada

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Youbin Zheng2School of Environmental Sciences, University of Guelph, 50 Stone Road East, Guelph, ON, N1G 2W1, Canada

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Abstract

The objective of this study was to determine the optimal controlled-release fertilizer (CRF) application rates or ranges for the production of five 2-gal nursery crops. Plants were evaluated following fertilization with 19N–2.6P–10.8K plus minors, 8–9 month CRF incorporated at 0.15, 0.45, 0.75, 1.05, 1.35, and 1.65 kg·m−3 nitrogen (N). The five crops tested were bigleaf hydrangea (Hydrangea macrophylla), ‘Green Velvet’ boxwood (Buxus ×), ‘Magic Carpet’ spirea (Spiraea japonica), ‘Palace Purple’ coral bells (Heuchera micrantha), and rose of sharon (Hibiscus syriacus). Most plant growth characteristics (i.e., growth index, plant height, leaf area, and shoot dry weight) were greater in high vs. low CRF treatments at the final harvest. Low CRF rates negatively impacted overall appearance and marketability. The species-specific CRF range recommendations were 1.05 to 1.35 kg·m−3 N for rose of sharon, 0.75 to 1.05 kg·m−3 N for ‘Magic Carpet’ spirea, and 0.75 to 1.35 kg·m−3 N for bigleaf hydrangea and ‘Green Velvet’ boxwood, whereas the recommended CRF rate for ‘Palace Purple’ coral bells was 0.75 kg·m−3 N. Overall, species-specific CRF application rates can be used to manage growth and quality of containerized nursery crops during production in a temperate climate.

To meet growing consumer demand for nursery crops in North America, container nursery crop production has intensified over the last 30 years (Davidson et al., 1988; Statistics Canada, 2013; U.S. Department of Agriculture, 2006). Container-grown nursery crops in North America and worldwide, are commonly produced using CRFs owing to the benefits derived from this fertilization method, such as reduced labor costs and improved nutrient use efficiency (Alam et al., 2009; Chen et al., 2001, 2011; Yeager and Cashion, 1993). Manufacturer-recommended CRF application rates are usually determined under constant laboratory or greenhouse conditions (Birrenkott et al., 2005; Cabrera, 1997; Oliet et al., 2004) and commonly do not include environmental fluctuations that are experienced in outdoor nursery crop production. Unlike relatively stable greenhouse environments, variable temperature and rainfall conditions in outdoor nursery environments may influence both the CRF release rate and crop fertility requirements, which directly impact nursery crop management strategies (Agro, 2014; Agro and Zheng, 2014; Cabrera, 1996; Zheng et al., 2010). To recommend appropriate fertilization strategies to manage nursery crops, region- and climate-specific studies are needed.

Although fertilizer companies continually develop new products, testing these products outdoors in region-specific studies at commercial nursery sites has been limited. Previous studies were mainly restricted to a few plant species, select fertilizer types differing in nutrient sources, and coating technology (e.g., Nutricote; Chisso-Asahi Fertilizer Co., Tokyo, Japan), or conducted in warm climates (e.g., Florida) for a short duration (Chen et al., 2001; Griffin et al., 1999; Ruter, 1992; Yeager and Cashion, 1993). Only a few temperate-region studies (i.e., in Canada and northeastern United States) with a limited number of crops, CRF rates, and types, have evaluated CRF applications for container nursery crop production (Agro, 2014; Agro and Zheng, 2014; Clark and Zheng, 2015; Hicklenton and Cairns, 1992; Lumis and Taurins, 2000). To build and expand on these past studies, further research at commercial nurseries is needed to develop fertilization recommendations to manage the growth and quality of different nursery crops in a range of environments.

Currently, it is standard practice to use generalized CRF application rates (i.e., not species-specific) at nurseries. However, under-fertilization can restrict nutrient availability, cause tissue nutrient deficiencies, limit plant growth or quality, and lengthen production time; whereas over-fertilization is expensive and may result in plant injury, pest and disease problems, and environmentally damaging nutrient leaching (Agro, 2014; Majsztrik et al., 2011; Yeager et al., 1993). As individual plant species and cultivars have unique nutrient requirements, customizing CRF application rates per species is ideal for efficient, environmentally conscious, high-quality plant production (Britton et al., 1998; Cabrera, 2003; Chen et al., 2001, 2011; Timmer and Aidelbaum, 1996). Such species-specific CRF application rate recommendations are necessary, especially during this era of nursery best management practices and environmental sustainability (Yeager et al., 2010). Therefore, the objectives of this study were to determine if application rates for CRFs can be used to optimize nursery crop growth under temperate climate conditions, and to determine specific CRF rate or range recommendations for nursery production of five 2-gal container-grown nursery crops.

Materials and methods

Plant material and fertilization.

At a wholesale nursery located in the Niagara Peninsula, ON, Canada (lat. 43.01°N, long. 79.38°W), five commonly grown nursery crops were selected for study, based on their economic value and relative importance to Ontario nurseries: bigleaf hydrangea, ‘Green Velvet’ boxwood, ‘Magic Carpet’ spirea, ‘Palace Purple’ coral bells, and rose of sharon. Ten liners for each species (initially grown in 4-inch-wide square pots for ‘Palace Purple’ coral bells, round 5½-inch-diameter pots for ‘Green Velvet’ boxwood, and round 5-inch-diameter pots for the remaining species), per CRF rate (n = 10) were planted into 5.75 L of growing substrate in round trade 2-gal black plastic containers (22-cm diameter × 21.5-cm height) on 15 May 2013 following the nursery’s standard production practices. For all species except ‘Palace Purple’ coral bells, which had an addition of perlite (PVP Industries, North Bloomfield, OH), a proprietary growing substrate was used, consisting of pine bark (Growers Choice, Kitchener, ON, Canada) and Canadian sphagnum peatmoss (Growers Grade White; Sun Gro, Maisonnette, NB, Canada). At planting, the substrate had a pH of 5.2 and an electrical conductivity (EC) of 0.6 mS·cm−1, whereas the perlite-amended substrate had a pH of 5.8 and an EC value of 0.6 mS·cm−1. Nutrient levels in the substrates with and without perlite were as follows: 1.0 mg·kg−1 nitrate for both, <0.5 mg·kg−1 ammonium for both, 2.8 and 4.5 mg·kg−1 phosphorus (P), 18.3 and 29.0 mg·kg−1 potassium (K), 4.3 and 6.7 mg·kg−1 magnesium (Mg), and 12.5 and 21.4 mg·kg−1 calcium (Ca), respectively, as analyzed using a saturated paste extraction method (SGS Agri-Food Laboratories, Guelph, ON, Canada). A 19N–2.6P–10.8K CRF (Polyon® 19–06–13 plus minors, 8–9 months; Agrium Advanced Technologies, Calgary, AB, Canada) was incorporated into the growing substrate for each pot by hand at rates of 0.15, 0.45, 0.75, 1.05, 1.35, or 1.65 kg·m−3 nitrogen. The guaranteed minimum analysis of this CRF is 8.09% ammonical N, 7.16% nitrate N, 3.75% urea N, 6.00% phosphoric acid, 13.00% soluble potash, 4.70% sulfur, 1.00% Mg of which 0.5% is water soluble, 1.18% soluble iron, 0.02% chelated iron, 0.099% manganese of which 0.079% is water soluble, 0.0019% water soluble molybdenum, 0.099% zinc of which 0.079% is water soluble, and 0.099% copper of which 0.079% is water soluble (Agrium Advanced Technologies). Fertilizer rates were selected based on general recommendations for nursery crops made by Agrium Advanced Technologies (i.e., 4–10 kg·m−3), nursery grower suggestions, and earlier studies (Agro, 2014; Agro and Zheng, 2014; Alam et al., 2009). Pots were weeded monthly and production practices and overhead sprinkler irrigation scheduling were followed as per standard production practices for the nursery. Irrigation frequency and amount was grower-determined, based on environmental conditions and water use by plants. Irrigation water was drawn from an on-site catchment pond during the study. In addition to irrigation, total monthly precipitation for the region was 77.9, 144.2, 48.5, 78.1, and 73.0 mm in May, June, July, Aug., and Sept. 2013, respectively (Environment Canada, 2013). Monthly mean minimum and maximum air temperatures were 8.3 to 21.7, 13.7 to 22.7, 17.0 to 26.4, 13.6 to 25.0, and 9.3 to 20.8 °C in May, June, July, Aug., and Sept. 2013, respectively (Environment Canada, 2013).

Experimental design.

Plants were arranged in a randomized block design, grouped by species, on a well-drained gravel plot outdoors at the nursery. Ten plants (replications) of each fertilizer rate treatment were randomly arranged with ≈10 cm of space between pots, to reduce shading within the block. Plants within blocks were rerandomized monthly to reduce location error. The production area was bordered with at least one row of unmeasured plants to reduce perimeter effects.

Measurements.

Leachate pH and EC as well as plant growth measurements were made monthly between May and Sept. 2013, which coincides with the growing season in Ontario. Irrigation water was sampled monthly from an on-site catchment pond (n = 3). Collected leachate and irrigation water was evaluated for pH and EC using a portable pH and EC meter (PC 300; Oakton Instruments, Vernon Hills, IL). Irrigation water from the on-site catchment pond had an EC of 0.6, 0.6, 0.9, 1.2, and 1.5 mS·cm−1 and a pH of 7.9, 7.6, 7.5, 7.5, and 7.5 in May, June, July, August, and September, respectively. Plant growth was evaluated during the growing season by measuring plant height and canopy width, in two perpendicular directions, for seven representative liners per species at planting, for five plants per species per CRF rate treatment 1 week after planting and monthly thereafter. Aboveground plant growth index was calculated as [(height × width1 × width2) ÷ 300], as outlined by Ruter (1992). Growing substrate pH and EC were measured for five plants per species per treatment 1 week after planting and monthly, thereafter, until Sept. 2013 using the pour-through method (Wright, 1986). The pour-through method was conducted by irrigating plants to saturation, waiting ≈1 h, adding 200 ± 50 mL of reverse osmosis water to each container and collecting leachate for analysis. Toward the end of the 2013 growing season, before cool fall air temperatures and leaf senescence began (i.e., on 13 Sept. 2013), all species and treatments were evaluated by industry professionals to determine which plants had reached marketable size. In addition, five plants per species per treatment were ranked from 1 (worst) to 5 (best) for overall appearance among all treatments, relative to plants of the same species. Overall appearance ranking values and marketability were visually assessed based on foliage density, plant symmetry, leaf size and color, number of stems, and amount of branching, as these measures of quality are based on aesthetic appeal and consumer approval (Stroup et al., 1998). A satisfactory overall appearance threshold was determined per species by the grower, according to market demands. Leaf area was measured for five plants per species per CRF rate using a leaf area meter (LI-3100; LI-COR, Lincoln, NE) at the end of the growing season (Sept. 2013). Stems and leaves from individual plants were dried at 70 °C until a constant weight was achieved. Shoot dry weight was calculated as the sum of stem and leaf tissue dry weight per plant. Dried leaves were analyzed for tissue N (percent dry weight) by SGS Agri-Food Laboratories using a combustion method, with N gases quantified by thermal conductivity [AOAC method 990.03 (TruSpec; LECO Instruments, St. Joseph, MI)]. Leaf tissue P, K, Mg, and Ca concentrations were analyzed from ashed samples solubilized in hydrochloric acid by inductively coupled plasma via emission spectroscopy [AOAC method 985.01, SGS Agri-Food Laboratories (OPTIMA 8300 OES; Perkin Elmer, Shelton, CT)].

Statistical analysis.

All data sets were analyzed using GraphPad Prism software (version 5.03; GraphPad Software, La Jolla, CA). Data were subject to a one-way analysis of variance (ANOVA) for shoot dry weight, plant height, leaf area, and tissue nutrient concentration with differences among means determined according to Tukey’s multiple comparison test. Overall appearance data were analyzed with a nonparametric Kruskal-Wallis test and a Dunn’s multiple comparison test. A two-way repeated measures ANOVA with a Bonferroni post test was used to evaluate differences among CRF rate treatments and time points for growth index, leachate EC, and pH for each nursery crop. Regression analyses with extra sum-of-squares F tests were used to relate growth index and leaf nutrient concentration to CRF rate over time and to estimate regression parameters for the best-fit regression model. Pearson correlation coefficients (r) were calculated to compare CRF rate with pH and EC (n = 5) and leaf dry weight and CRF rate with leaf tissue nutrient concentration (n = 3). Leachate pH in September was analyzed with a one sample t test, with means per CRF rate (n = 5) compared with the upper pH limit for healthy plant growth [6.25 (Reed, 1996)]. All data were evaluated using a significance level of P < 0.05.

Results

Plant quality.

Considering plant quality observations and evaluations carried out by industry professionals, the overall appearance of most species differed according to the CRF rate used (Fig. 1). For the majority of species, high CRF rates produced plants with the best overall appearance. ‘Magic Carpet’ spirea was a notable exception with a lower overall appearance at 1.65 than 1.05 and 1.35 kg·m−3 N. The lowest CRF rates that produced plants with satisfactory quality and a marketable size by 13 Sept. 2013 were 1.05 kg·m−3 N for rose of sharon and 0.75 kg·m−3 N for ‘Palace Purple’ coral bells, bigleaf hydrangea, and ‘Magic Carpet’ spirea (Fig. 1). ‘Green Velvet’ boxwood did not reach marketable size for any CRF rate by Sept. 2013, as this is usually a 2-year crop at this nursery. In addition to plant form, size and leaf color, nursery crop quality was influenced by flowering. In Aug. and Sept. 2013, greater flowering was observed for ‘Magic Carpet’ spirea and rose of sharon at high vs. low CRF rates. Only one ‘Palace Purple’ coral bells plant, grown at 1.65 kg·m−3 N, flowered during the study and no bigleaf hydrangea plants flowered.

Fig. 1.
Fig. 1.

Growth index and overall appearance for five container-grown nursery crops in Sept. 2013 following transplant on 15 May 2013 and fertilized with six rates of nitrogen (N) incorporated from an 8–9 month release 19N–2.6P–10.8K plus minors, controlled-release fertilizer (CRF). Overall appearance ranking values were visually assessed on the scale of 1 (worst) to 5 (best), based on foliage density, plant symmetry, leaf size and color, number of stems, and amount of branching, as these measures of quality are based on aesthetic appeal and consumer approval (Stroup et al., 1998). Data are means ± se (n = 5). Symbols bearing the same letter are not significantly different among CRF rates per characteristic per nursery crop, according to a one-way analysis of variance and Tukey’s multiple comparison test at P < 0.05; 1 kg·m−3 = 0.0624 lb/ft3, 1 cm3 = 0.0610 inch3.

Citation: HortTechnology hortte 25, 3; 10.21273/HORTTECH.25.3.370

Plant growth and leaf nutrient concentration.

Similar to the overall appearance observations, growth index, plant height, leaf area, and shoot dry weight were greater at high vs. low CRF rates for the majority of nursery crops in Sept. 2013 (Fig. 1; Table 1). Over time from May to Sept. 2013, regression analyses indicated a significant increase in growth index for rose of sharon, bigleaf hydrangea, and ‘Magic Carpet’ spirea grown at all CRF rates, ‘Palace Purple’ coral bells grown at all but 0.15 kg·m−3 N, and ‘Green Velvet’ boxwood grown at all but 0.15 and 0.45 kg·m−3 N (Table 2).

Table 1.

Plant growth characteristics in Sept. 2013 for five May-planted container-grown nursery crops evaluated following one season of growth in the Niagara region of Ontario, Canada, produced with six rates of nitrogen (N) incorporated from an 8–9 month release 19N–2.6P–10.8K plus minors, controlled-release fertilizer (CRF).

Table 1.
Table 2.

Regression equations and R2 values for significant growth index versus time grown with six rates of nitrogen (N) incorporated from an 8–9 month release 19N–2.6P–10.8K plus minors controlled-release fertilizer (CRF) incorporated at planting for five nursery crops outdoors from May to Sept. 2013 in the Niagara region of Ontario, Canada.

Table 2.

At harvest (Sept. 2013), leaf N concentration was greater at high vs. low CRF rates for bigleaf hydrangea, ‘Magic Carpet’ spirea, ‘Palace Purple’ coral bells, and rose of sharon (Table 3). A significant linear or quadratic regression was observed for bigleaf hydrangea and ‘Palace Purple’ coral bells among CRF rates in Sept. 2013 for leaf N, P, K, Mg, and Ca concentrations, whereas a significant regression among CRF rates was observed for at least three of the evaluated nutrients for ‘Green Velvet’ boxwood, ‘Magic Carpet’ spirea, and rose of sharon (Table 3). Leaf N concentration was positively correlated with CRF rate for bigleaf hydrangea, ‘Magic Carpet’ spirea, ‘Palace Purple’ coral bells, and rose of sharon. Leaf P concentration was the greatest at 0.15 kg·m−3 N for rose of sharon and ‘Magic Carpet’ spirea, and a significant increase in leaf P concentration was observed with increasing CRF rate for ‘Palace Purple’ coral bells and bigleaf hydrangea. Leaf K concentration significantly increased with increasing CRF rate for bigleaf hydrangea, ‘Green Velvet’ boxwood, and ‘Magic Carpet’ spirea and leaf K concentration was greatest at midrange CRF rates for ‘Palace Purple’ coral bells. With increasing CRF rate, leaf Mg concentration significantly increased for ‘Palace Purple’ coral bells and bigleaf hydrangea, but decreased for ‘Green Velvet’ boxwood. Leaf Ca concentration was positively correlated with CRF rate for bigleaf hydrangea and negatively correlated with CRF rate for ‘Green Velvet’ boxwood. In addition, we also observed correlations between leaf dry weight and leaf nutrient concentration. Leaf dry weight was positively correlated with the following leaf nutrient concentrations for certain crops: N [‘Palace Purple’ coral bells, rose of sharon and bigleaf hydrangea (r = 0.80, 0.66, and 0.80, respectively)], P [‘Green Velvet’ boxwood, ‘Palace Purple’ coral bells, and bigleaf hydrangea (r = 0.58, 0.55, and 0.78, respectively)], K [‘Green Velvet’ boxwood, ‘Palace Purple’ coral bells, bigleaf hydrangea, and ‘Magic Carpet’ spirea (r = 0.76, 0.56, 0.61, and 0.67, respectively)], Mg [bigleaf hydrangea (r = 0.74)], and Ca [bigleaf hydrangea (r = 0.50)]. In contrast, negative correlations occurred between leaf dry weight and nutrient concentration for the following crops: P [‘Magic Carpet’ spirea (r = −0.80)], Mg [‘Green Velvet’ boxwood and ‘Magic Carpet’ spirea (r = −0.73 and −0.54, respectively)], and Ca [‘Green Velvet’ boxwood and rose of sharon (r = −0.81 and −0.49, respectively)].

Table 3.

Influence of six rates of nitrogen (N) incorporated from an 8–9 month release 19N–2.6P–10.8K plus minors, controlled-release fertilizer (CRF), incorporated at planting, on leaf tissue concentration of N, phosphorus (P), potassium (K), magnesium (Mg), and calcium (Ca) evaluated in Sept. 2013 for five container-grown nursery crops.

Table 3.

At the nursery, nutrient disorders are often identified by leaf color changes; however, cultivar-specific standard leaf colors were red-purple and dark green for ‘Palace Purple’ coral bells, light green with yellow and red shoot tips for ‘Magic Carpet’ spirea, and green for all other species. In Sept. 2013, at 0.15 kg·m−3 N ‘Palace Purple’ coral bells leaves were small and dark red-purple, whereas bigleaf hydrangea leaves were light green and yellow with some purple leaf margins. At all CRF rates >0.15 kg·m−3 N, ‘Palace Purple’ coral bells and bigleaf hydrangea leaves were green. ‘Magic Carpet’ spirea leaves were lighter yellow at 0.15 and 1.65 kg·m−3 N than at all other CRF rates in Sept. 2013 and ‘Magic Carpet’ spirea grown at 1.65 kg·m−3 N had internal-canopy leaf dieback.

Leachate pH and EC.

The mean leachate pH in May 2013 did not differ among CRF rates for individual nursery crops in the current study and ranged from 5.64 for ‘Magic Carpet’ spirea to 5.73 for bigleaf hydrangea. Significant positive correlations were observed in June 2013 between CRF rate and pH for bigleaf hydrangea, ‘Magic Carpet’ spirea, ‘Palace Purple’ coral bells, and rose of sharon (r = 0.93, 0.98, 0.97, and 0.83, respectively). However, negative correlations were observed in Sept. 2013 between CRF rate and pH for bigleaf hydrangea, ‘Green Velvet’ boxwood, ‘Palace Purple’ coral bells, and rose of sharon (r = −0.93, −0.92, −0.86, and −0.90, respectively). In Sept. 2013, lower leachate pH was observed for high vs. low CRF rates for all crops; low pH ranged from 4.59 to 5.92 at 1.65 kg·m−3 N for ‘Green Velvet’ boxwood and ‘Magic Carpet’ spirea, respectively, whereas high pH ranged from 6.37 to 6.69 at 0.45 kg·m−3 N for rose of sharon and ‘Palace Purple’ coral bells, respectively. In May 2013, EC did not differ among CRF rates for three crops and averaged 0.79, 0.88, and 0.95 mS·cm−1 for ‘Green Velvet’ boxwood, bigleaf hydrangea, and rose of sharon, respectively. The EC of ‘Magic Carpet’ spirea and ‘Palace Purple’ coral bells differed among CRF rates in May and ranged from 0.67 to 1.26 and 0.55 to 1.11 mS·cm−1 for these crops, respectively. In June 2013, CRF rate was positively correlated to EC for bigleaf hydrangea, ‘Green Velvet’ boxwood, ‘Magic Carpet’ spirea, ‘Palace Purple’ coral bells, and rose of sharon (r = 0.88, 0.96, 0.84, 0.94, and 0.95, respectively), but in Sept. 2013, only ‘Green Velvet’ boxwood EC was correlated to CRF rate (r = 0.94). By the end of the growing season (Sept. 2013), only the EC of rose of sharon did not differ among CRF rates with an average of 2.46 mS·cm−1. The EC in Sept. 2013 of bigleaf hydrangea, ‘Green Velvet’ boxwood, ‘Magic Carpet’ spirea, and ‘Palace Purple’ coral bells among CRF rates ranged from 0.59 to 2.03, 0.88 to 4.84, 0.31 to 2.40, and 0.29 to 2.11 mS·cm−1, respectively.

Discussion

This study showed that applying CRF based on a species-specific rate or range may provide nursery growers with a management tool to promote plant growth, ensure plant quality, and prevent nutrient disorders during production.

One benefit of applying species-specific CRF rates to manage nursery crop production may be reduced production time (Clark and Zheng, 2014, 2015). Based on results from this study, potential CRF-influenced crop production time savings were determined by interpolating the September growth index value at the CRF rate, which produced marketable-sized plants with higher CRF rates, as calculated from the regression equation of growth index over time (Fig. 1; Table 2). Selection of a species-specific CRF application rate had the potential to reduce crop production time (e.g., by 55 d for rose of sharon grown at 1.65 kg·m−3 N compared with 1.05 kg·m−3 N). When high CRF application rates shorten the nursery crop production time, the total amount of nutrients leached may be reduced, compared with a longer production time. With a short production time, any nutrients remaining in the root zone, after production is complete, can be used by the nursery crop for additional shoot and root growth, once planted in the landscape. In addition, by applying species-specific CRF rates, nursery growers may have the opportunity to sell a crop sooner than if a generalized CRF rate was applied and may save ongoing crop input costs (e.g., labor, irrigation, etc.). Further research is needed to specifically quantify the cost savings of reduced production time following species-specific CRF application rates.

As plant growth response to increasing CRF rate usually follows a classic curve, poor growth results from either low, deficient CRF application rates (under-fertilization) or high, toxic CRF application rates [over-fertilization (Chen et al., 2001)]. However, at CRF rates between the deficient and toxic thresholds, a range of adequate fertilization occurs. Growth index of bigleaf hydrangea appeared to reach the adequate point of the growth curve at 0.75 kg·m−3 N and this was also the lowest CRF rate at which bigleaf hydrangea was marketable. For ‘Green Velvet’ boxwood in Sept. 2013, growth index increased with increasing CRF rate, with no difference among higher CRF rates. These results indicate that higher CRF rates were adequate for the first year of this 2-year ‘Green Velvet’ boxwood crop in this study. In Sept. 2013, ‘Magic Carpet’ spirea growth index increased with increasing CRF rate; however, overall appearance decreased from 1.35 to 1.65 kg·m−3 N, indicating over-fertilization reduced plant quality from 1.35 to 1.65 kg·m−3 N. Growth index of ‘Palace Purple’ coral bells in Sept. 2013 indicated adequate fertilization occurred at 0.45 kg·m−3 N, whereas at CRF rates above 0.75 kg·m−3 N no significant change in growth index or overall appearance occurred. Therefore, the adequate CRF application range appears to have been achieved but not exceeded for the CRF rates applied to ‘Palace Purple’ coral bells in this study. Rose of sharon growth index and overall appearance increased with increasing CRF rate, with no difference among higher CRF rates, indicating adequate fertilization occurred during the study.

Given the growth index and overall appearance response of nursery crops to the applied CRF rates, use of species-specific CRF rates may prevent nutrient disorder symptoms at the nursery. For example, visual nutrient deficiency symptoms were observed at low CRF rates for ‘Palace Purple’ coral bells, bigleaf hydrangea, and ‘Magic Carpet’ spirea. As the leaf dry weight of ‘Palace Purple’ coral bells was positively correlated to both N and P concentrations, the small, dark red-purple leaves observed at 0.15 kg·m−3 N in Sept. 2013 may have been the result of a deficiency in N (i.e., low green pigment levels may have increased the visibility of the purple pigments), P (i.e., increasing purple pigment levels), or a combination of both. The light green leaf color and purple leaf margins observed for bigleaf hydrangea at 0.15 kg·m−3 N may have been due to N and P deficiencies, respectively, as both the tissue N and P concentrations were positively correlated to leaf dry weight. The light yellow leaves observed for ‘Magic Carpet’ spirea at 0.15 kg·m−3 N were likely caused by N deficiency. However, light yellow ‘Magic Carpet’ spirea leaves and internal-canopy leaf dieback at 1.65 kg·m−3 N may have been caused by a nutrient toxicity, indicated by the high growing substrate EC in Sept. 2013 (2.40 mS·cm−1) or in combination with additional production factors. Although irrigation water applied to all plants had an EC ranging from 0.6 to 1.5 mS·cm−1 during the study, the nutrient deficiency and toxicity symptoms were CRF-rate specific. Therefore, irrigation water EC seemed to have a minimal influence on nursery crop nutrition in this study. In addition, with the diversity of nursery production systems and growing substrates used in the industry (Agro, 2014; Yeager et al., 2010), CRF application rates recommended by the supplier may need to be adjusted and customized for individual nurseries and crops, to prevent nutrient disorders.

By considering the evaluated plant growth and quality characteristics, we determined the species-specific recommended CRF rates for the container-grown nursery crops in this study. We defined the highest CRF rate in the recommended range to be the rate above which no increase in growth index, shoot dry weight, leaf area, and overall appearance, or no nutrient disorder symptoms were observed. The lowest CRF rate in the recommended range was the rate below which plants were not marketable or were showing nutrient disorder symptoms. If no difference was identified between the highest and lowest recommended CRF application rates, a single recommended CRF rate, rather than a recommended range was identified. Given these parameters, the responses of individual crops varied. Rose of sharon plants were not marketable below 1.05 kg·m−3 N and no increase in rose of sharon leaf area was observed above 1.35 kg·m−3 N. Bigleaf hydrangea, ‘Magic Carpet’ spirea, and ‘Palace Purple’ coral bells were not marketable below 0.75 kg·m−3 N and ‘Palace Purple’ coral bells did not increase in overall appearance or leaf area above 0.75 kg·m−3 N. Bigleaf hydrangea overall appearance did not increase above 1.35 kg·m−3 N and ‘Magic Carpet’ spirea growth index did not increase above 1.05 kg·m−3 N. For ‘Green Velvet’ boxwood, a nutrient disorder was observed below 0.75 kg·m−3 N, whereas above 1.35 kg·m−3 N shoot dry weight did not increase. Therefore, the recommended species-specific CRF rate was 0.75 kg·m−3 N for ‘Palace Purple’ coral bells, and the recommended CRF ranges were 1.05 to 1.35 kg·m−3 N for rose of sharon, 0.75 to 1.05 kg·m−3 N for ‘Magic Carpet’ spirea, and 0.75 to 1.35 kg·m−3 N for bigleaf hydrangea and the first season of ‘Green Velvet’ boxwood production. Our results confirm and build on previous research identifying wide-ranging nutritional requirements and species-specific CRF rate responses for container-grown nursery crops, such as an optimal CRF rate of 1.25 kg·m−3 N for 1-gal ‘Magic Carpet’ spirea, similar to our results (Agro and Zheng, 2014; Chong et al., 2004; Scoggins, 2005; Worrall et al., 1987). These studies also showed that reductions in nutrient leaching were achieved when appropriate CRF rates were applied (Agro, 2014; Clark and Zheng, 2014).

Nutrient leaching from growing substrates in outdoor container nursery environments is influenced by climate, temperature, and production practices (Adams et al., 2013; Alam et al., 2009; Bilderback, 2002). Growing substrate nutrient status and nutrient leaching during this study were determined by leachate EC. The counterintuitive high leachate EC at low CRF rates in Sept. 2013 may have been caused by minimal leaching during the previous months or low nutrient uptake during the growing season, whereas low leachate EC at high CRF rates and lack of correlation between CRF rate and EC in Sept. 2013 suggested most nutrients had already been leached or used for plant growth (Alam et al., 2009). Despite a common industry perspective that a high CRF application will eliminate the need for an additional CRF application the following year, annual CRF applications would likely be needed for the crops grown at high CRF rates in this study. Frequently monitoring nutrient status may determine whether a midseason CRF top-dress application is required. Further temperate-climate research is needed to quantify nutrient status and nutrient leaching from growing substrates with incorporated CRFs during outdoor container nursery production.

Conditions of low fertility during nursery crop production can occur from either a low CRF application, relative to crop need, or as a result of excess nutrient leaching. When nursery crops are grown in conditions of low fertility, tissue nutrient analysis may not identify nutrient deficiencies by simply comparing readings to published tissue nutrient sufficiency standards and averages, as described by Bryson et al. (2014), Plank and Kissel (2006), and Jarrell and Beverly (1981). For example, in this study, rose of sharon plants were smaller at low vs. high CRF rates and no clear tissue nutrient deficiencies were observed, with N, P, K, Mg, and Ca levels at all CRF rates being within or above the rose of sharon nutrient sufficiency range described by Bryson et al. (2014). Therefore, leaf tissue nutrient concentration data should be considered in combination with critical observations of aboveground plant growth and appearance to manage nursery crop production. In addition, further research is needed to determine nutrient sufficiency standards for additional commonly grown nursery crops.

Under conditions of sufficient CRF application, growing substrate pH influences nutrient availability, which subsequently impacts nutrient uptake and plant growth. The growing substrate pH at all CRF rates in May 2013, as evaluated by leachate pH, was within the desired range for plant growth [i.e., 5.50–6.25 (Reed, 1996)]. For ‘Green Velvet’ boxwood, ‘Magic Carpet’ spirea, and ‘Palace Purple’ coral bells, pH of the growing substrate at 0.15, 0.45, and 0.75 kg·m−3 N, as well as pH of bigleaf hydrangea and rose of sharon at 0.45 kg·m−3 N, was greater than the upper limit for plant growth in a growing substrate [6.25 (Reed, 1996)]. The high growing substrate pH in Sept. 2013 was likely due to on-site irrigation water having a high alkalinity, as is common in Ontario (Zheng et al., 2011). At high CRF rates, the low growing substrate pH may have been caused by the CRF acidifying the root zone (Zheng et al., 2013). The influence of CRFs on root-zone pH, as observed by correlations, presents an opportunity for fertilizer companies to develop CRFs specifically formulated to control growing substrate pH during nursery crop production. Appropriate CRF rates or ranges may be used to manage growing substrate pH levels to ensure plant access to nutrients throughout the growing season.

In conclusion, this study confirms that CRFs can be used as a management tool in containerized nursery crop production, and provides species-specific CRF rate recommendations for commonly grown nursery crops in a temperate climate. For the majority of crops in this study, overall appearance, growth index, plant height, leaf area, and shoot dry weight were greater at high vs. low CRF rates. The recommended species-specific CRF rate for outdoor, nursery crop production was 0.75 kg·m−3 N for ‘Palace Purple’ coral bells, and the recommended CRF ranges were 1.05 to 1.35 kg·m−3 N for rose of sharon, 0.75 to 1.05 kg·m−3 N for ‘Magic Carpet’ spirea, and 0.75 to 1.35 kg·m−3 N for bigleaf hydrangea and ‘Green Velvet’ boxwood. Further research is needed to determine species-specific management strategies and CRF application rate recommendations for additional nursery crops under temperate-climate production conditions.

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Literature cited

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    • Crossref
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    • Crossref
    • Export Citation
  • Agro, E.E. & Zheng, Y. 2014 Controlled-release fertilizer application rates for container nursery crop production in southwestern Ontario, Canada HortScience 49 1414 1423

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    • Export Citation
  • Alam, M.Z., Chong, C., Llewellyn, J. & Lumis, G.P. 2009 Evaluating fertilization and water practices to minimize NO3-N leachate from container-grown forsythia HortScience 44 1833 1837

    • Crossref
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  • Bilderback, T.E. 2002 Water management is key in reducing nutrient runoff from container nurseries HortTechnology 12 541 544

  • Birrenkott, B.A., Craig, J.L. & McVey, G.R. 2005 A leach collection system to track the release of nitrogen from controlled-release fertilizers in container ornamentals HortScience 40 1887 1891

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  • Britton, W., Holcomb, E.J. & Beattie, D.J. 1998 Selecting the optimum slow-release fertilizer rate for five cultivars of tissue-cultured Hosta HortTechnology 8 203 206

    • Crossref
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  • Bryson, G.M., Mills, H.A., Sasseville, D.N., Jones, J.B. Jr & Barker, A.B. 2014 Plant analysis handbook III: A guide to sampling, preparation, analysis, interpretation and use of results of agronomic and horticultural crop plant tissue. Macro-Micro Publishing, Athens, GA

    • Crossref
    • Export Citation
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    • Crossref
    • Export Citation
  • Cabrera, R. 1997 Comparative evaluation of nitrogen release patterns from controlled-release fertilizers by nitrogen leaching analysis HortScience 32 669 673

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Cabrera, R. 2003 Nitrogen balance for two container-grown woody ornamental plants Sci. Hort. 97 297 308

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    • Search Google Scholar
    • Export Citation
  • Chen, Y., Bracy, R.P., Owings, A.D. & Quebedeaux, J.P. 2011 Controlled-release fertilizer type and rate affect landscape establishment of seven herbaceous perennials HortTechnology 21 336 342

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Chong, C., Lumis, G., Purvis, P. & Dale, A. 2004 Growth and nutrient status of six species of nursery stock grown in a compost-based medium with recycled nutrients HortScience 39 60 64

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    • Search Google Scholar
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  • Clark, M.J. & Zheng, Y. 2014 Effect of fertilizer rate on plant growth and leachate nutrient content during production of sedum-vegetated green roof modules HortScience 49 819 826

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    • Search Google Scholar
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  • Griffin, J.J., Warren, S.L., Blazich, F.A. & Ranney, T.G. 1999 Nitrogen nutrition of containerized Thuja × ‘Green Giant’ J. Environ. Hort. 17 76 79

  • Hicklenton, P.R. & Cairns, K.G. 1992 Solubility and application rate of controlled-release fertilizer affect growth and nutrient uptake in containerized woody landscape plants J. Amer. Soc. Hort. Sci. 117 578 583

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Jarrell, W.M. & Beverly, R.B. 1981 The dilution effect in plant nutrition studies Adv. Agron. 34 197 224

  • Lumis, G. & Taurins, L. 2000 Container mix pH and the effect of Scotts controlled release fertilizers in altering pH increase. 4 Feb. 2014. <http://www.landscapetrades.com/2000/07/container-mix-ph-and-the-effect-of-scotts-controlled-release-fertilizers-in-altering-ph-increase>

    • Crossref
    • Export Citation
  • Majsztrik, J.C., Ristvey, A.G. & Lea-Cox, J.D. 2011 Water and nutrient management in the production of container-grown ornamentals Hort. Rev. 38 253 296

    • Search Google Scholar
    • Export Citation
  • Oliet, J., Planelles, R., Segura, M.L., Artero, F. & Jacobs, D.F. 2004 Mineral nutrition and growth of containerized Pinus halepensis seedlings under controlled-release fertilizer Sci. Hort. 103 113 129

    • Search Google Scholar
    • Export Citation
  • Plank, C.O. & Kissel, D.E. 2006 Plant analysis handbook—Commonly found nutrient concentration ranges. 19 Feb. 2014. <http://aesl.ces.uga.edu/publications/plant/contable.asp>

    • Crossref
    • Export Citation
  • Reed, D.W. 1996 A grower’s guide to water, media, and nutrition for greenhouse crops. Ball Publishing, Batavia, IL

    • Crossref
    • Export Citation
  • Ruter, J.M. 1992 Influence of source, rate, and method of applicating [sic] controlled release fertilizer on nutrient release and growth of ‘Savannah’ holly Fert. Res. 32 101 106

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Scoggins, H.L. 2005 Determination of optimum fertilizer concentration and corresponding substrate electrical conductivity for ten taxa of herbaceous perennials HortScience 40 1504 1506

    • Search Google Scholar
    • Export Citation
  • Statistics Canada 2013 Table0001-0057—Nursery tree and plant production. 4 Feb. 2014. <http://www5.statcan.gc.ca/cansim/a26?lang=eng&retrLang=eng&id=0010057&paSer=&pattern=&stByVal=1&p1=1&p2=38&tabMode=dataTable&csid>

    • Crossref
    • Export Citation
  • Stroup, W.W., Adams, S.A. & Paparozzi, E.T. 1998 Statistical design and analysis of producer/consumer evaluations to assess plant quality HortScience 33 197 202

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Timmer, V.R. & Aidelbaum, A.S. 1996 Manual for exponential nutrient loading of seedlings to improve outplanting performance on competitive forest sites. Northern Ontario Dev. Agreement/Northern For. Program Tech. Rpt. No. TR-25. Natural Res. Canada, Can. For. Serv., Sault Ste. Marie, ON, Canada

  • U.S. Department of Agriculture 2006 Floriculture and nursery crop yearbook 2006. 4 Feb. 2014. <http://usda.mannlib.cornell.edu/MannUsda/viewStaticPage.do?url=http://usda01.library.cornell.edu/usda/ers/./98004/2006/index.html>

    • Crossref
    • Export Citation
  • Worrall, R.J., Lamont, G.P. & O'Connell, M.A. 1987 The growth response of container-grown woody ornamentals to controlled-release fertilizers Sci. Hort. 32 275 286

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Wright, R.D. 1986 The pour through nutrient extraction procedure HortScience 21 227 229

  • Yeager, T. & Cashion, G. 1993 Controlled-release fertilizers affect nitrate nitrogen runoff from container plants HortTechnology 3 174 177

  • Yeager, T., Million, J., Larsen, C. & Stamps, B. 2010 Florida nursery best management practices: Past, present and future HortTechnology 20 82 88

  • Yeager, T., Wright, R., Fare, D., Gilliam, C., Johnson, J., Bilderback, T. & Zondag, R. 1993 Six state survey of container nursery nitrate nitrogen runoff J. Environ. Hort. 11 206 208

    • Search Google Scholar
    • Export Citation
  • Zheng, Y., Cayanan, D.F. & Dixon, M. 2010 Optimum feeding nutrient solution concentration for greenhouse potted miniature rose production in a recirculating subirrigation system HortScience 45 1378 1383

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Zheng, Y., Vinson, K. & Dixon, M. 2011 Acidify irrigation water for potted nursery crop production Landscape Ontario Mag. 29 12 58

  • Zheng, Y., Clark, M.J., Agro, E. & Vinson, K. 2013 Fertilizer can be used as a management tool in container nursery production. 6 Feb. 2014. <http://vinelandresearch.com/sites/default/files/2013_nursery_fertilizer_report.pdf>

    • Crossref
    • Export Citation
  • View in gallery

    Growth index and overall appearance for five container-grown nursery crops in Sept. 2013 following transplant on 15 May 2013 and fertilized with six rates of nitrogen (N) incorporated from an 8–9 month release 19N–2.6P–10.8K plus minors, controlled-release fertilizer (CRF). Overall appearance ranking values were visually assessed on the scale of 1 (worst) to 5 (best), based on foliage density, plant symmetry, leaf size and color, number of stems, and amount of branching, as these measures of quality are based on aesthetic appeal and consumer approval (Stroup et al., 1998). Data are means ± se (n = 5). Symbols bearing the same letter are not significantly different among CRF rates per characteristic per nursery crop, according to a one-way analysis of variance and Tukey’s multiple comparison test at P < 0.05; 1 kg·m−3 = 0.0624 lb/ft3, 1 cm3 = 0.0610 inch3.

  • Adams, C., Frantz, J. & Bugbee, B. 2013 Macro- and micronutrient-release characteristics of three polymer-coated fertilizers: Theory and measurements J. Plant Nutr. Soil Sci. 176 76 88

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Agro, E.E. 2014 Optimum controlled release fertilizer rates for containerized nursery plant production in Ontario. MSc Thesis, Univ. Guelph, Guelph, ON, Canada

    • Crossref
    • Export Citation
  • Agro, E.E. & Zheng, Y. 2014 Controlled-release fertilizer application rates for container nursery crop production in southwestern Ontario, Canada HortScience 49 1414 1423

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Alam, M.Z., Chong, C., Llewellyn, J. & Lumis, G.P. 2009 Evaluating fertilization and water practices to minimize NO3-N leachate from container-grown forsythia HortScience 44 1833 1837

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Bilderback, T.E. 2002 Water management is key in reducing nutrient runoff from container nurseries HortTechnology 12 541 544

  • Birrenkott, B.A., Craig, J.L. & McVey, G.R. 2005 A leach collection system to track the release of nitrogen from controlled-release fertilizers in container ornamentals HortScience 40 1887 1891

    • Search Google Scholar
    • Export Citation
  • Britton, W., Holcomb, E.J. & Beattie, D.J. 1998 Selecting the optimum slow-release fertilizer rate for five cultivars of tissue-cultured Hosta HortTechnology 8 203 206

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Bryson, G.M., Mills, H.A., Sasseville, D.N., Jones, J.B. Jr & Barker, A.B. 2014 Plant analysis handbook III: A guide to sampling, preparation, analysis, interpretation and use of results of agronomic and horticultural crop plant tissue. Macro-Micro Publishing, Athens, GA

    • Crossref
    • Export Citation
  • Cabrera, R. 1996 Using slow- and controlled-release fertilizers in container nursery crops. Rutgers Coop. Res. Ext., New Jersey Agr. Expt. Sta., Rutgers Univ. New Brunswick, NJ

  • Cabrera, R. 1997 Comparative evaluation of nitrogen release patterns from controlled-release fertilizers by nitrogen leaching analysis HortScience 32 669 673

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Cabrera, R. 2003 Nitrogen balance for two container-grown woody ornamental plants Sci. Hort. 97 297 308

  • Chen, J., Huang, Y. & Caldwell, R.D. 2001 Best management practices for minimizing nitrate leaching from container-grown nurseries Sci. World 1 S2 96 102

  • Chen, Y., Bracy, R.P., Owings, A.D. & Quebedeaux, J.P. 2011 Controlled-release fertilizer type and rate affect landscape establishment of seven herbaceous perennials HortTechnology 21 336 342

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Chong, C., Lumis, G., Purvis, P. & Dale, A. 2004 Growth and nutrient status of six species of nursery stock grown in a compost-based medium with recycled nutrients HortScience 39 60 64

    • Search Google Scholar
    • Export Citation
  • Clark, M.J. & Zheng, Y. 2014 Effect of fertilizer rate on plant growth and leachate nutrient content during production of sedum-vegetated green roof modules HortScience 49 819 826

    • Search Google Scholar
    • Export Citation
  • Clark, M.J. & Zheng, Y. 2015 Species-specific fertilization can benefit container nursery crop production Can. J. Plant Sci. 95 251 262

  • Davidson, H., Mecklenburg, R. & Peterson, C. 1988 Nursery management. Prentice Hall, Englewood Cliffs, NJ

    • Crossref
    • Export Citation
  • Griffin, J.J., Warren, S.L., Blazich, F.A. & Ranney, T.G. 1999 Nitrogen nutrition of containerized Thuja × ‘Green Giant’ J. Environ. Hort. 17 76 79

  • Hicklenton, P.R. & Cairns, K.G. 1992 Solubility and application rate of controlled-release fertilizer affect growth and nutrient uptake in containerized woody landscape plants J. Amer. Soc. Hort. Sci. 117 578 583

    • Search Google Scholar
    • Export Citation
  • Jarrell, W.M. & Beverly, R.B. 1981 The dilution effect in plant nutrition studies Adv. Agron. 34 197 224

  • Lumis, G. & Taurins, L. 2000 Container mix pH and the effect of Scotts controlled release fertilizers in altering pH increase. 4 Feb. 2014. <http://www.landscapetrades.com/2000/07/container-mix-ph-and-the-effect-of-scotts-controlled-release-fertilizers-in-altering-ph-increase>

    • Crossref
    • Export Citation
  • Majsztrik, J.C., Ristvey, A.G. & Lea-Cox, J.D. 2011 Water and nutrient management in the production of container-grown ornamentals Hort. Rev. 38 253 296

  • Oliet, J., Planelles, R., Segura, M.L., Artero, F. & Jacobs, D.F. 2004 Mineral nutrition and growth of containerized Pinus halepensis seedlings under controlled-release fertilizer Sci. Hort. 103 113 129

    • Search Google Scholar
    • Export Citation
  • Plank, C.O. & Kissel, D.E. 2006 Plant analysis handbook—Commonly found nutrient concentration ranges. 19 Feb. 2014. <http://aesl.ces.uga.edu/publications/plant/contable.asp>

  • Reed, D.W. 1996 A grower’s guide to water, media, and nutrition for greenhouse crops. Ball Publishing, Batavia, IL

  • Ruter, J.M. 1992 Influence of source, rate, and method of applicating [sic] controlled release fertilizer on nutrient release and growth of ‘Savannah’ holly Fert. Res. 32 101 106

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Scoggins, H.L. 2005 Determination of optimum fertilizer concentration and corresponding substrate electrical conductivity for ten taxa of herbaceous perennials HortScience 40 1504 1506

    • Search Google Scholar
    • Export Citation
  • Statistics Canada 2013 Table0001-0057—Nursery tree and plant production. 4 Feb. 2014. <http://www5.statcan.gc.ca/cansim/a26?lang=eng&retrLang=eng&id=0010057&paSer=&pattern=&stByVal=1&p1=1&p2=38&tabMode=dataTable&csid>

    • Crossref
    • Export Citation
  • Stroup, W.W., Adams, S.A. & Paparozzi, E.T. 1998 Statistical design and analysis of producer/consumer evaluations to assess plant quality HortScience 33 197 202

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Timmer, V.R. & Aidelbaum, A.S. 1996 Manual for exponential nutrient loading of seedlings to improve outplanting performance on competitive forest sites. Northern Ontario Dev. Agreement/Northern For. Program Tech. Rpt. No. TR-25. Natural Res. Canada, Can. For. Serv., Sault Ste. Marie, ON, Canada

  • U.S. Department of Agriculture 2006 Floriculture and nursery crop yearbook 2006. 4 Feb. 2014. <http://usda.mannlib.cornell.edu/MannUsda/viewStaticPage.do?url=http://usda01.library.cornell.edu/usda/ers/./98004/2006/index.html>

    • Crossref
    • Export Citation
  • Worrall, R.J., Lamont, G.P. & O'Connell, M.A. 1987 The growth response of container-grown woody ornamentals to controlled-release fertilizers Sci. Hort. 32 275 286

    • Search Google Scholar
    • Export Citation
  • Wright, R.D. 1986 The pour through nutrient extraction procedure HortScience 21 227 229

  • Yeager, T. & Cashion, G. 1993 Controlled-release fertilizers affect nitrate nitrogen runoff from container plants HortTechnology 3 174 177

  • Yeager, T., Million, J., Larsen, C. & Stamps, B. 2010 Florida nursery best management practices: Past, present and future HortTechnology 20 82 88

  • Yeager, T., Wright, R., Fare, D., Gilliam, C., Johnson, J., Bilderback, T. & Zondag, R. 1993 Six state survey of container nursery nitrate nitrogen runoff J. Environ. Hort. 11 206 208

    • Search Google Scholar
    • Export Citation
  • Zheng, Y., Cayanan, D.F. & Dixon, M. 2010 Optimum feeding nutrient solution concentration for greenhouse potted miniature rose production in a recirculating subirrigation system HortScience 45 1378 1383

    • Search Google Scholar
    • Export Citation
  • Zheng, Y., Vinson, K. & Dixon, M. 2011 Acidify irrigation water for potted nursery crop production Landscape Ontario Mag. 29 12 58

  • Zheng, Y., Clark, M.J., Agro, E. & Vinson, K. 2013 Fertilizer can be used as a management tool in container nursery production. 6 Feb. 2014. <http://vinelandresearch.com/sites/default/files/2013_nursery_fertilizer_report.pdf>

Mary Jane Clark1Vineland Research and Innovation Centre, 4890 Victoria Avenue North, Box 4000, Vineland Station, ON, L0R 2E0, Canada

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Youbin Zheng2School of Environmental Sciences, University of Guelph, 50 Stone Road East, Guelph, ON, N1G 2W1, Canada

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Contributor Notes

This work was financially supported by Agriculture and Agri-Food Canada through the Canadian Agricultural Adaptation Program (CAAP), Landscape Ontario, and Agrium Advanced Technologies.

Thanks to our Niagara peninsula nursery partner for providing materials, time and expertise. The authors thank Erin Agro for the informative discussions during the preparation of this manuscript and technical assistance during the experiment; and Tim Moffat for his technical assistance.

Corresponding author. E-mail: yzheng@uoguelph.ca.

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