Testing two models for the estimation of leaf stomatal conductance in four greenhouse crops cucumber, chrysanthemum, tulip and lilium

Li, Gang; Lin, Lijin; Dong, Yongyi; An, Dongsheng; Li, Yongxiu; Luo, Weihong; Yin, Xinyou; Li, Wenwen; Shao, Jingqing; Zhou, Youyou; Dai, Jianfeng; Chen, Weiping; Zhao, Chunjiang

doi:10.1016/j.agrformet.2012.06.004

Cited by 31 publications

(26 citation statements)

References 68 publications

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“…Stomatal opening and decrease in stomatal resistance, which implies the reciprocal of stomatal conductance, were observed under high temperatures, allowing the plants to avoid heat stress (Homma et al, 1999;Reynolds-Henne et al, 2010). In contrast, increasing temperature did not have a significant impact on stomatal conductance (Greer, 2012;Li et al, 2012). Seversike et al (2013) showed that the slope of transpiration response to VPD, which somewhat corresponded to canopy conductance, decreased when the VPD increased above 1.9 kPa at 25℃ at the whole plant level in soybean.…”

Section: Discussionmentioning

confidence: 99%

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Evaluation of the effects of increasing temperature on the transpiration rate and canopy conductance of soybean by using the sap flow method

Nakano

Tacarindua

Nakashima

et al. 2015

J. Agric. Meteorol.

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This study aimed to investigate the effects of increasing temperature on the transpiration rate and canopy conductance of soybean grown in temperature gradient chambers under drought and wet conditions. The heat balance method was used to measure the transpiration rate from sap flow; additionally, canopy conductance was continuously estimated from the transpiration rate and vapor pressure deficit (VPD). An increase of 3℃ in temperature resulted in an increased transpiration rate but decreased canopy conductance. Further, the differences in canopy conductance observed at high and low temperature treatments were more remarkable during the morning than around noon. This suggested that there was concomitant increase in VPD with increasing temperature when solar radiation was low during the morning. Although the transpiration rate and canopy conductance decreased during drought conditions, the overall tendency of the response to the changes in temperature and VPD was similar to those in the well-watered condition. The partial correlation coefficients between canopy conductance and VPD were negative when the temperature effect was held constant. However, those between canopy conductance and temperature showed opposite trends in the two years of study-negative in 2011 but positive in 2012. These results suggest that the decrease of canopy conductance in a high temperature treatment is more likely caused by increasing VPD than by increasing temperature itself.

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Section: Discussionmentioning

confidence: 99%

“…This is because increasing temperature simultaneously increases VPD, making it difficult to differentiate between the effects of high temperature and those of VPD (Weber et al, 1985;Greer, 2012;Li et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the effects of increasing temperature on the transpiration rate and canopy conductance of soybean by using the sap flow method

Nakano

Tacarindua

Nakashima

et al. 2015

J. Agric. Meteorol.

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“…Two water levels were used: well-watered conditions, with a soil water potential (SWP) of −4 to −15 kPa according to Li et al (2012), and water-deficit conditions, with a SWP of −20 to −40 kPa. The SWP at 0.1 m below the soil surface was monitored using tensiometers (SWP-100, Institute of Soil Science, Chinese Academy of Sciences) with three replicates per water level.…”

Section: Methodsmentioning

confidence: 99%

“…The original BWB-type model does not capture stomatal responses to soil water status, thus some efforts were made toward modifying the BWB-type model to predict g s under drought. Either the slope used in the BWB-type model (describing the response of g s to photosynthetic rate, relative humidity or vapor pressure deficit (VPD) and CO 2 concentration) (Tuzet et al, 2003; Maseyk et al, 2008; Héroult et al, 2013) or the residual stomatal conductance (the value of g s when irradiance approaches to zero) (Misson et al, 2004) was reported to decrease under drought, and was related to soil moisture or leaf water potential (Baldocchi, 1997; Wang and Leuning, 1998; Misson et al, 2004; Keenan et al, 2010; Egea et al, 2011; Li et al, 2012; Zhou et al, 2013; Müller et al, 2014). In another study, however, neither of these two parameters was affected by drought (Xu and Baldocchi, 2003).…”

Section: Introductionmentioning

confidence: 99%

Can the Responses of Photosynthesis and Stomatal Conductance to Water and Nitrogen Stress Combinations Be Modeled Using a Single Set of Parameters?

Zhang

et al. 2017

Front. Plant Sci.

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Accurately predicting photosynthesis in response to water and nitrogen stress is the first step toward predicting crop growth, yield and many quality traits under fluctuating environmental conditions. While mechanistic models are capable of predicting photosynthesis under fluctuating environmental conditions, simplifying the parameterization procedure is important toward a wide range of model applications. In this study, the biochemical photosynthesis model of Farquhar, von Caemmerer and Berry (the FvCB model) and the stomatal conductance model of Ball, Woodrow and Berry which was revised by Leuning and Yin (the BWB-Leuning-Yin model) were parameterized for Lilium (L. auratum × speciosum “Sorbonne”) grown under different water and nitrogen conditions. Linear relationships were found between biochemical parameters of the FvCB model and leaf nitrogen content per unit leaf area (Na), and between mesophyll conductance and Na under different water and nitrogen conditions. By incorporating these Na-dependent linear relationships, the FvCB model was able to predict the net photosynthetic rate (An) in response to all water and nitrogen conditions. In contrast, stomatal conductance (gs) can be accurately predicted if parameters in the BWB-Leuning-Yin model were adjusted specifically to water conditions; otherwise gs was underestimated by 9% under well-watered conditions and was overestimated by 13% under water-deficit conditions. However, the 13% overestimation of gs under water-deficit conditions led to only 9% overestimation of An by the coupled FvCB and BWB-Leuning-Yin model whereas the 9% underestimation of gs under well-watered conditions affected little the prediction of An. Our results indicate that to accurately predict An and gs under different water and nitrogen conditions, only a few parameters in the BWB-Leuning-Yin model need to be adjusted according to water conditions whereas all other parameters are either conservative or can be adjusted according to their linear relationships with Na. Our study exemplifies a simplified procedure of parameterizing the coupled FvCB and gs model that is widely used for various modeling purposes.

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“…전조처리 등을 하기 힘든 환 경에서는 에세폰 처리를 이용하여서 개화를 조절하기도 한다. 백선 등 국화 품종을 이용한 실험에 의하면 에세폰 을 처리를 하면 최종 엽수가 증가하며 꽃눈 발달과정이 지연되는데 (Sugiura and Fujita, 2003b;Park, 2007), 처 리 농도가 증가 할수록 이러한 현상은 더욱 심화된다고 한다 (Sugiura and Fujita, 2003a (Karlsson and Heins, 1994), 일사와 재식밀도에 대한 국화의 영양산물 분배를 예측하는 모델 (Lee et al, 2002), 일사와 온도를 이용하여 화경의 발달을 예측 하는 모델 (Nothnagl et al, 2004), 일사와 온도 조건을 이용하여 엽 전개, 엽면적, 초 장, 절간장 및 화경 등 외관적 품질을 예측 하는 모델 (Yang et al, 2007), 잎의 기공 전도도에 대한 모델 (Li et al, 2012 …”

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Modelling the Effects of Temperature and Photoperiod on Phenology and Leaf Appearance in Chrysanthemum

Beom-Seok¹,

Pak²,

Lee³

et al. 2016

Korean Journal of Agricultural and Forest Meteorology

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Chrysanthemum production would benefit from crop growth simulations, which would support decision-making in crop management. Chrysanthemum is a typical short day plant of which floral initiation and development is sensitive to photoperiod. We developed a model to predict phenological development and leaf appearance of chrysanthemum (cv. Baekseon) using daylength (including civil twilight period), air temperature, and management options like light interruption and ethylene treatment as predictor variables. Chrysanthemum development stage (DVS) was divided into juvenile (DVS=1.0), juvenile to budding (DVS=1.33), and budding to flowering (DVS=2.0) phases for which different strategies and variables were used to predict the development toward the end of each phenophase. The juvenile phase was assumed to be completed at a certain leaf number which was estimated as 15.5 and increased by ethylene application to the mother plant before cutting and the transplanted plant after cutting. After juvenile phase, development rate (DVR) before budding and flowering were calculated from temperature and day length response functions, and budding and flowering were completed when the integrated DVR reached 1.33 and 2.0, respectively. In addition the model assumed that leaf appearance terminates just before budding. This model predicted budding date, flowering date, and leaf appearance with acceptable accuracy and precision not only for the calibration data set but also for the validation data set which are independent of the calibration data set.

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Testing two models for the estimation of leaf stomatal conductance in four greenhouse crops cucumber, chrysanthemum, tulip and lilium

Cited by 31 publications

References 68 publications

Evaluation of the effects of increasing temperature on the transpiration rate and canopy conductance of soybean by using the sap flow method

Evaluation of the effects of increasing temperature on the transpiration rate and canopy conductance of soybean by using the sap flow method

Can the Responses of Photosynthesis and Stomatal Conductance to Water and Nitrogen Stress Combinations Be Modeled Using a Single Set of Parameters?

Modelling the Effects of Temperature and Photoperiod on Phenology and Leaf Appearance in Chrysanthemum

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