Horticultural Science and Technology. 30 June 2014. 340-345
https://doi.org/10.7235/hort.2014.13177

ABSTRACT


MAIN

  • Introduction

  • Material and Methods

  •   Growing Conditions

  •   Environmental Factors and Transpiration Measurement

  •   Statistical Analysis

  • Results and Discussion

  •   Daily Canopy Transpiration under Different MCs

  •   Relationships among Daily Canopy Transpiration, RAD and VPD under Different MCs

  •   Growth and Yield of Paprika

Introduction

Paprika (Capsicum annuum L.) grown under protected cultivation is a valuable crop worldwide, but it is considered as very sensitive to water stress such as an excess or deficit of water. Considering that the growth and yield of plants depend on irrigation and environmental conditions, the paprika plants should be supplied with adequate amount of water to ensure the vigorous growth and fruit yield (Costa and Gianquinto, 2002; Smittle et al., 1994). For this reason, estimation of transpiration which is based on climatic data is essential to satisfy the optimum water requirement and thereby obtain the maximum yield (Harmanto et al., 2005). Transpiration is affected by leaf area and environ-mental factors (Baille et al., 1994a, 1994b; Ta et al., 2011), and solar radiation (RAD) and vapor pressure deficit (VPD) are considered as important factors for establishing irrigation strategy in greenhouse (Jolliet and Bailey, 1992; Medrano et al., 2005; Stanghellini and van Meurs, 1989; Tai et al., 2010; Zhang et al., 2001). For applying adequate irrigation methods, relationships among water and nutrient uptake, transpiration rate, and solar radiation should be analyzed (Adams, 1992; Sonneveld, 2002). At present, one of the methods estimating the evapotranspiration based on timer, pan evaporation, moisture content, or solar radiation is adapted for irrigation in greenhouses. However, selecting only one method for irrigation may not satisfy the water requirement of paprika and sometimes resulted in plant water stress, low yield and quality, waste water and nutrients. Besides most of the irrigation strategies have particularly concentrated on aerial environment factors. In fact, root-zone environment factor like volumetric moisture content (MC) is important because the moisture content of growing medium is directly related with the transpiration (Park et al., 2009). The objectives of this study were to analyze the canopy transpiration by using solar radiation, VPD, MC of growing medium, and to evaluate the growth, yield, and quality of paprika under the different MCs of rockwool growing media in soilless culture.

Materials and Methods

Growing Conditions

This experiment was conducted in a Venlo-type greenhouse at the experimental farm of Seoul National University (Suwon, Korea, Latitude 37.3°N, Longitude 127.0°E) from the beginning of July to the end of September, 2009. Fifteen days after seeding, paprika (Capsicum annuum L. ‘Derby’) seedlings were planted on the rockwool cube (10 cm × 10 cm × 6.5 cm) at the beginning of June, 2009. One month after planting on rockwool cubes, the plants were transplanted in rockwool slabs (90 cm × 15 cm × 7 cm). The stem density of paprika was 6 stems/m2. The terminal flower of each branch was removed in all the plants to support vegetative growth.

A dripping irrigation system was used for water supply to paprika plants. Drainage was stored in the tank (20 L). Growing paprika plants under the different irrigation regimes were controlled with minimum set points of 40%, 50% and 60% (v/v) of MCs in a rockwool slab, using Time Domain Reflectometry (TDR) sensors (WT1000B, Mi-Rae Sensor Co., Ltd., Seoul, Korea) which enable to compensate the values of electrical conductivity (EC) from 20 days after transplanting. MCs in the rockwool slab were controlled with the error of 5%, compared to the target MC. The average inside radiation ranged from 2.6 to 5.5 MJ・m-2・d-1 and the average inside temperature was controlled at 25 to 30°C. All the plants were supplied with the nutrient solution of EC 2.5 to 3.0 dS・m-1 and pH 5.5 to 6.5. EC in rockwool slabs was maintained at 2.5 to 3.5 dS・m-1 during the growth period. To adjust the pH, 1N nitric acid was used. Additional plant management of pruning and training was carried out every week.

Compositions of the nutrient solution was based on the PBC nutrient solution of Netherlands: 14.17 NO3-, 1.14 H2PO4-, 5.92 K+, 8.85 Ca2+, 3.17 Mg2+, and 3.2 SO42- (in me・L-1) as macro elements; and 1.05 Fe2+, 0.64 Zn2+, 0.09 Cu2+, 0.57 Mn2+, and 0.08 MoO42- (in mg・L-1) as micro elements.

Environmental Factors and Transpiration Measurement

Microclimate data, solar radiation and dry and wet bulb temperatures, were measured from the sensors connected to a data logger (CR 1000, Campbell Scientific, Logan, Utah, USA) every 10 min throughout the growth period. Solar radiation was measured by a pyranometer (SQ-110-L10, Apogee, Logan, Utah, USA) at a height of 2 m from the ground inside the greenhouse. Dry bulb Td (°C) and wet bulb Tw (°C) air temperatures were measured by psychrometers made with T-type thermocouples. The canopy transpiration was obtained from the slabs weight and the amount of irrigation and drainage by loadcells (model JSB-50, JSB-20 load cell; CAS Co., Ltd., Yangju, Korea). VPD and daily transpiration (TRd) were calculated with Td and Tw, and measured weights by the following equations: VPD = [100 – (Td - Tw)/Td]/100 × 610.7 × 107.5Tw/(237.3 + Tw) and TRd = total irrigation amount – total drainage amount – changed weight of rockwool.

Number of leaves, leaf area, leaf fresh and dry weight were sampled every two or three weeks after transplanting. Leaf areas were estimated from a leaf area model for paprika developed by Tai et al. (2009). Fruit harvest was carried out every two or three times a week for mature fruits which weighted over 100 g without physiological disorder or disease. Fruit dry weight was obtained after three days at 70oC after measuring fresh weight.

Statistical Analysis

Three irrigation regimes of 40%, 50%, and 60% MCs were designed in randomized complete block with three replications. One replicate included 3 plants grown in a  slab. Regression analysis was performed to obtain the relationship between transpiration and RAD only or combi-nations of RAD and VPD. For comparing the accuracy, the coefficient of determination (R2) and the root mean square error (RMSE) were used. Treatment means of replications were analyzed and compared using Duncan’s Multiple Range Test with significant difference at p < 0.05. Statistical analysis was conducted using the SAS (SAS Institute, Cary, NC, USA).

Results and Discussion

Daily Canopy Transpiration under Different MCs

Cumulative transpiration of paprika plants grown at 60% MC was higher than at 50% and 40% MCs (Fig. 1). In the growth period of 80 to 120 days, the transpiration at 60% MC was 12.1% or 29.4% much more than those at 50% or 40% MCs, respectively. It was observed that the canopy transpiration increased with increase of MC during the growth period. Wang et al. (2013) indicated transpiration rate from soil to atmosphere through plant increased with increase of the water potential of soil.

Relationships among Daily Canopy Transpiration, RAD and VPD under Different MCs

Relationships between daily canopy transpirations and RAD only or combination of RAD and VPD were presented in Table 1. The regression models using RAD and VPD were more accurate with higher R2 and lower RMSE values than those using RAD only at 40%, 50% and 60% MCs (Table 1). Similar results on relationship analysis between transpiration and RAD based on daily data was reported for ornamental plants grown in glasshouse (Baas and van Rijssel, 2006; Baille et al., 1994a, 1994b; Stanghellini and van Meurs, 1989).

http://static.apub.kr/journalsite/sites/kshs/2014-032-03/N0130320308/images/PICCD07.gif

Fig. 1. Cumulative transpiration with days after transplanting of paprika plants grown at 40%, 50%, and 60% moisture contents (MC) of rockwool growing media.

Table 1. Regression models of transpiration (TR1 and TR2) of paprika plants associated with daily mean radiation (RAD) only and RAD and vapor pressure deficit (VPD) both at 40%, 50%, and 60% moisture contents (MC) of rockwool growing media, respectively.

MC (%)

Regression model

R2

RMSEz

Pr > F

40

TR1 = 0.17 + 0.09 RAD

0.815

0.375

< 0.0001

TR2 = – 0.24 + 0.08 RAD + 0.968 VPD

0.897

0.283

< 0.0001

50

TR1 = 0.24 + 0.12 RAD

0.853

0.403

< 0.0001

TR2 = – 0.20 + 0.10 RAD + 1.04 VPD

0.918

0.304

< 0.0001

60

TR1 = 0.80 + 0.11 RAD

0.715

0.570

< 0.0001

TR2 = 0.00 + 0.07 RAD + 1.90 VPD 

0.927

0.291

< 0.0001

All variables in the models are significant at p < 0.05.

zRoot mean square error.

In this study, canopy transpiration under the controlled MCs was well described by a combined function of RAD and VPD on a daily basis as plane equations. We confirmed that the canopy transpiration had linear relationships with RAD and VPD being affected by the MC of growing medium. In the previous researches, although multiple regression analyses made the models significantly better on the relation-ship among transpiration, RAD and VPD (Chunpin et al., 2002; Kirnak et al., 2002), the MC was not directly considered for the regression models. Therefore, the models including MC as described in Table 1 can be useful for calculating daily canopy transpiration for paprika plants.

Growth and Yield of Paprika

No effect of MC in growing medium on number of leaves was observed; however, leaf area was clearly affected by the MC (Fig. 2). This result is similar to the previous results, indicating that leaf area was larger in high MC compared to low MC (Abdel-Mawgoud et al., 2006). At 110 days after planting, the leaf area at 60% MC was 6.1% and 11.2% larger than those at 50% and 40% MCs, respectively (Fig. 2B). With almost the same number of leaves for the three controlled MCs, leaf area per plant and average leaf area calculated (data not shown) were larger at 60% MC, indicating the increase in leaf area size over growth time (Fig. 2B). Hsiao (2000) considered correlating cell and tissue expansion to water stress. Leaf area as a transpiration surface was also smaller under low MC likely because the difference in water use per plant might affect the lower cell expansion rate.

The significant difference in fresh and dry leaf weights of paprika plants grown at different MCs were observed from 35 days to 110 days after transplanting (Fig. 3). Fresh and dry leaf weights were the highest at 60% MC and followed by 50% and 40% MCs (Figs. 3A and 3B). According to Hsiao (1993), the lower leaf area index under the most deficient water results in less interception of RAD and a continuous decrease in photosynthesis rate and therefore lead to a reduced cumulative biomass and yield. Therefore adequate management of the MC of growing medium is crucial for maintaining enough canopy transpiration and crop growth.

http://static.apub.kr/journalsite/sites/kshs/2014-032-03/N0130320308/images/PICCE02.gif

Fig. 2. Number of leaves per plant (A) and leaf area per plant (B) of paprika plants grown at 40%, 50%, and 60% moisture contents (MC) of rockwool growing media. Vertical error bars represent the standard errors (n = 3).

http://static.apub.kr/journalsite/sites/kshs/2014-032-03/N0130320308/images/PICCEA0.gif

Fig. 3. Fresh (A) and dry (B) leaf weights of paprika plants grown at 40%, 50%, and 60% moisture contents (MC) of rockwool growing media. Vertical error bars represent the standard errors (n = 3).

There were no significant differences in number and size of fruits among all the MCs, while fruit weight was significantly lower at 40% MC (Table 2). Fresh fruit yield per plant at 60% MC was higher than that at 40% MC (Fig. 4A). Fresh fruit yield was affected by available MC and optimal leaf area which are necessary for photosynthesis process. The response of the total yield to watering is related with the behavior of the photosynthesizing leaf area and biomass accumulation (Hsiao, 2000). Dry fruit yield were a little lower at 40% MC than other treatments (Fig. 4A). As an effect of MC, number of fruits (fruit weight > 120 g) at 50-60% MCs was higher than that at 40% MC (Fig. 4B). For more detail analysis, comparison of marketable rates of paprika at different MCs should be required although it was not conducted in this study.

In this study, simple models were suggested to calculate canopy transpiration using daily base of RAD or a combination of both RAD and VPD for paprika plants under the controlled MCs in rockwool soilless culture. Among the different MCs, 50-60% MCs in rockwool medium gave better effects on the growth, yield and quality of paprika plants. It was considered that the MC of growing medium affected the canopy transpiration and growth of paprika plants. As the canopy transpiration could be estimated by using RAD and VPD values under different MCs, these models can be useful for estimation of transpiration and production in soilless culture of paprika plants.

Table 2. Fruit number, weight, and size (fruit weight > 100 g) of paprika plants grown at 40%, 50%, and 60% moisture contents (MC) of rockwool growing media.

MC (%)

Number of fruits

/plant

Mean fruit weight

(g)

Fruit length

(cm)

Fruit width

(cm)

40

50

60

Significance

10.67

11.39

11.89

NS

147.92 bz

159.57 a

160.02 a

*

7.99

8.22

8.41

NS

8.03

8.15

8.35

NS

zMean separation within columns by Duncan’s Multiple Range Test at p < 0.05.

NS,*Nonsignificant or significant at p < 0.05.

http://static.apub.kr/journalsite/sites/kshs/2014-032-03/N0130320308/images/PICCF3D.gif

Fig. 4. Fresh and dry fruit weights (A) and number of categorized fruits (> 100 g, B) of paprika plants grown at 40%, 50%, and 60% moisture contents (MC) of rockwool growing media. Vertical error bars represent the standard errors (n = 3). The different letters in the bars are significantly different at p < 0.05 by Duncan’s multiple range test.

Acknowledgements

This research was supported by iPET (Korea Institute of Planning and Evaluation for Technology of Food, Agriculture, Forestry, and Fisheries).

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