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Journal of Arid Land
Journal of Arid Land  2019, Vol. 11 Issue (5): 764-773    DOI: 10.1007/s40333-019-0003-z
Orginal Article     
Modified non-rectangular hyperbola equation with plant height for photosynthetic light-response curves of Potentilla anserina and Elymus nutans at various growth phases in the Heihe River Basin, Northwest China
Junjie LIU1, Xiaoping WANG2, Zhanlei RONG1, Yunfei GAO1, Guangde ZHANG1, Wenbin WANG1, Lijuan GE1, Yahua MAO1, Zhaoxia GUO1, Qingtao WANG3, Chuanyan ZHAO1,*()
1 State Key Laboratory of Grassland Agro-ecosystems, School of Life Sciences, Lanzhou University, Lanzhou 730000, China
2 Institute of Arid Meteorology, China Meteorological Administration, Lanzhou 730020, China
3 College of landscape and Ecological Engineering, Hebei University of Engineering, Handan 056000, China
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Abstract  

The non-rectangular hyperbola (NRH) equation is the most popular method that plots the photosynthetic light-response (PLR) curve and helps to identify plant photosynthetic capability. However, the PLR curve can't be plotted well by the NRH equation at different plant growth phases due to the variations of plant development. Recently, plant physiological parameters have been considered into the NRH equation to establish the modified NRH equation, but plant height (H), an important parameter in plant growth phases, is not taken into account. In this study, H was incorporated into the NRH equation to establish the modified NRH equation, which could be used to estimate photosynthetic capability of herbage at different growth phases. To explore photosynthetic capability of herbage, we selected the dominant herbage species Potentilla anserina L. and Elymus nutans Griseb. in the Heihe River as the research materials. Totally, twenty-four PLR curves and H at different growth phases were measured during the growing season in 2016. Results showed that the maximum net photosynthetic rate and the initial slope of PLR curve linearly increased with H. The modified NRH equation, which is established by introducing H and an H-based adjustment factor into the NRH equation, described better the PLR curves of P. anserina and E. nutans than the original ones. The results may provide an effective method to estimate the net primary productivity of grasslands in the study area.

Key words： plant height      modified non-rectangular hyperbola equation      Potentilla anserina      Elymus nutans      photosynthetic light-response curve      Qilian Mountains     
Received: 31 January 2018      Published: 10 October 2019
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The first and second authors contributed equally to this work.
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Junjie LIU
Xiaoping WANG
Zhanlei RONG
Yunfei GAO
Guangde ZHANG
Wenbin WANG
Lijuan GE
Yahua MAO
Zhaoxia GUO
Qingtao WANG
Chuanyan ZHAO
Cite this article:

Junjie LIU, Xiaoping WANG, Zhanlei RONG, Yunfei GAO, Guangde ZHANG, Wenbin WANG, Lijuan GE, Yahua MAO, Zhaoxia GUO, Qingtao WANG, Chuanyan ZHAO. Modified non-rectangular hyperbola equation with plant height for photosynthetic light-response curves of Potentilla anserina and Elymus nutans at various growth phases in the Heihe River Basin, Northwest China. Journal of Arid Land, 2019, 11(5): 764-773.

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http://jal.xjegi.com/10.1007/s40333-019-0003-z     OR     http://jal.xjegi.com/Y2019/V11/I5/764

[1] Akhkha A.2010. Modelling photosynthetic light-response curve in Calotropis procera under salinity or water deficit stress using non-linear models. Journal of Taibah University for Sciences, 3: 49-57.
[2] Amanullah.2015. Specific leaf area and specific leaf weight in small grain crops wheat, rye, barley, and oats differ at various growth stages and NPK source. Journal of Plant Nutrition, 38(11): 1694-1708.
[3] Ansquer P, Duru M, Theau J P, et al.2009. Functional traits as indicators of fodder provision over a short time scale in species-rich grasslands. Annals of Botany, 103(1): 117-126.
[4] Åström H, Metsovuori E, Saarinen T, et al.2015. Morphological characteristics and photosynthetic capacity of Fragaria vesca L. winter and summer leaves. Flora, 215: 33-39.
[5] Belshe E F, Durako M J, Blum J E.2008. Diurnal light curves and landscape-scale variation in photosynthetic characteristics of Thalassia testudinum in Florida Bay. Aquatic Botany, 89(1): 1-22.
[6] Bielczynski L W, Lacki M K, Hoefnagels I, et al.2017. Leaf and plant age affects photosynthetic performance and photoprotective capacity. Plant Physiology, 175(4): 1634-1648.
[7] Calama R, Puértolas J, Madrigal G, et al.2013. Modeling the environmental response of leaf net photosynthesis in Pinus pinea L. natural regeneration. Ecological Modelling, 251: 9-21.
[8] Cao Y, Li S, He X, et al.2017. Mapping QTLs for plant height and flowering time in a Chinese summer planting soybean RIL population. Euphytica, 213(2): 213-239.
[9] Catoni R, Granata M U, Sartori F, et al.2015. Corylus avellana responsiveness to light variations: morphological, anatomical, and physiological leaf trait plasticity. Photosynthetica, 53(1): 1-12.
[10] Chiarawipa R, Wang Y, Zhang X Z, et al.2012. Modeling light acclimation of photosynthetic response in different ages of vine leaves. Acta Horticulturae, 956: 255-260.
[11] Farquhar G D, Von Caemmerer S, Berry J A.1980. A biochemical model of photosynthetic CO2 assimilation in leaves of C3 species. Planta, 149(1): 78-90.
[12] Gao C C, Zhao C Y, Wang C, et al.2016. Soil physicochemical properties and infiltration characteristics under different vegetation types in Tianlaochi watershed in the upstream of Heihe River. Journal of Soil and Water Conservation, 30(1): 117, 121, 126. (in Chinese)
[13] Gao Z J, Xu B C, Wang J, et al.2015. Diurnal and seasonal variations in photosynthetic characteristics of switchgrass in semiarid region on the Loess Plateau of China. Photosynthetica, 53(4): 489-498.
[14] Gitelson A A, Keydan G P, Merzlyak M N.2015. Three-band model for noninvasive estimation of chlorophyll, carotenoids, and anthocyanin contents in higher plant leaves. Geophysical Research Letters, 33(11): 431-433.
[15] Gleason S M, Stephens A E A, Tozer W C, et al.2017. Shoot growth of woody trees and shrubs is predicted by maximum plant height and associated traits. Functional Ecology, 32(2): 247-259.
[16] Hao X Y, Li P, Li H Y, et al.2017. Elevated CO2 increased photosynthesis and yield without decreasing stomatal conductance in broomcorn millet. Photosynthetica, 55(1): 176-183.
[17] Huntingford C, Smith D M, Davies W J, et al.2015. Combining the ABA and net photosynthesis-based model equations of stomatal conductance. Ecological Modelling, 300: 81-88.
[18] Husen A.2017. Growth characteristics, physiological and metabolic responses of teak (Tectona grandis Linn. f.) clones differing in rejuvenation capacity subjected to drought stress. Silvae Genetica, 59(2-3): 124-136.
[19] Iacono F, Sommer K J.2010. Response of electron transport rate of water stress-affected grapevines: influence of leaf age. Vitis, 39(4): 137-144.
[20] Keutgen N, Chen K, Lenz F.1997. Responses of strawberry leaf photosynthesis, chlorophyll fluorescence and macronutrient contents to elevated CO2. Journal of Plant Physiology, 150(4): 395-400.
[21] Khoshbakht D, Ramin A A, Baninasab B.2015. Effects of sodium chloride stress on gas exchange, chlorophyll content and nutrient concentrations of nine citrus rootstocks. Photosynthetica, 53(2): 241-249.
[22] Kull O, Kruijt B.1998. Leaf photosynthetic light response: a mechanistic model for scaling photosynthesis to leaves and canopies. Functional Ecology, 12(5): 767-777.
[23] Lachapelle P P, Shipley B.2012. Interspecific prediction of photosynthetic light response curves using specific leaf mass and leaf nitrogen content: effects of differences in soil fertility and growth irradiance. Annals of Botany, 109: 1149-1157.
[24] Legner N, Fleck S, Leuschner C.2013. Low light acclimation in five temperate broad-leaved tree species of different successional status: the significance of a shade canopy. Annals of Forest Science, 70(6): 557-570.
[25] Lin Z H, Zhong Q S, Chen C S, et al.2016. Carbon dioxide assimilation and photosynthetic electron transport of tea leaves under nitrogen deficiency. Botanical Studies, 57(1): 37-49.
[26] Malerba M E, White C R, Marshall D J.2017. Phytoplankton size-scaling of net-energy flux across light and biomass gradients. Ecology, 98(12): 3106-3115.
[27] Malhi Y, Girardin C A, Goldsmith G R, et al.2017. The variation of productivity and its allocation along a tropical elevation gradient: a whole carbon budget perspective. New Phytologist, 214(3): 1019-1032.
[28] Marino G, Aqil M, Shipley B.2010. The leaf economics spectrum and the prediction of photosynthetic light-response curves. Functional Ecology, 24(2): 263-272.
[29] Marshall B, Biscoe P V.1980. A model for C3 leaves describing the dependence of net photosynthesis on irradiance. Journal of Experimental Botany, 31(120): 29-39.
[30] Mayoral C, Calama R, Sánchez-González M, et al.2015. Modelling the influence of light, water and temperature on photosynthesis in young trees of mixed Mediterranean forests. New Forests, 46(4): 485-506.
[31] Muharam F M, Bronson K F, Maas S J, et al.2014. Inter-relationships of cotton plant height, canopy width, ground cover and plant nitrogen status indicators. Field Crops Research, 169: 58-69.
[32] Noda H M, Muraoka H, Nasahara K N, et al.2015. Phenology of leaf morphological, photosynthetic, and nitrogen use characteristics of canopy trees in a cool-temperate deciduous broadleaf forest at Takayama, central Japan. Ecological Research, 30(2): 247-266.
[33] Novichonok E V, Novichonok A O, Kurbatova J A, et al.2015. Use of the at LEAF+ chlorophyll meter for a nondestructive estimate of chlorophyll content. Photosynthetica, 54(1): 1-8.
[34] Ohsumi A, Hamasaki A, Nakagawa H, et al.2007. A model explaining genotypic and ontogenetic variation of leaf photosynthetic rate in rice (Oryza sativa) based on leaf nitrogen content and stomatal conductance. Annals of Botany, 99(2): 265-273.
[35] Onoda Y, Wright I J, Evans J R, et al.2017. Physiological and structural tradeoffs underlying the leaf economics spectrum. New Phytologist, 214(4): 1447-1463.
[36] Orujova T Y, Bayramov S M, Gurbanova U A, et al.2018. Diurnal temperature-related variations in photosynthetic enzyme activities of two C4 species of Chenopodiaceae grown in natural environment. Photosynthetica, 56(4): 1107-1112.
[37] Prieto J A, Giorgi E G, Peña J P.2010. Modelling photosynthetic-light response on Syrah leaves with different exposure. Vitis, 49(3): 145-146.
[38] Proietti P, Famiani F.2002. Diurnal and seasonal changes in photosynthetic characteristics in different olive (Olea europaea L.) cultivars. Photosynthetica, 40(2): 171-176.
[39] Puglielli G, Crescente M F, Frattaroli A R, et al.2015. Leaf mass per area (LMA) as a possible predictor of adaptive strategies in two species of Sesleria (Poaceae): analysis of morphological, anatomical and physiological leaf traits. Annales Botanici Fennici, 52(1-2): 135-143.
[40] Puglielli G, Varone L, Gratani L, et al.2016. Specific leaf area variations drive acclimation of Cistus salvifolius in different light environments. Photosynthetica, 55(1): 1-11.
[41] Querry N D, Harper K A.2017. Structural diversity as a habitat indicator for endangered lakeshore flora using an assemblage of common plant species in Atlantic Canada. Plant Ecology, 218(11-12): 1339-1353.
[42] Sakoda K, Tanaka Y, Long S P, et al.2016. Genetic and physiological diversity in the leaf photosynthetic capacity of soybean. Crop Science, 56(5): 2731-2741.
[43] Sawicki M, Courteaux B, Rabenoelina F, et al.2017. Leaf vs. inflorescence: differences in photosynthetic activity of grapevine. Photosynthetica, 55(1): 58-68.
[44] Scartazza A, Baccio D D, Bertolotto P, et al.2016. Investigating the European beech (Fagus sylvatica L.) leaf characteristics along the vertical canopy profile: leaf structure, photosynthetic capacity, light energy dissipation and photoprotection mechanisms. Tree Physiology, 36(9): 1060-1076.
[45] Smith R A, Lewis J D, Ghannoum O, et al.2016. Leaf structural responses to pre-industrial, current and elevated atmospheric CO2 and temperature affect leaf function in Eucalyptus sideroxylon. Functional Plant Biology, 39(4): 285-296.
[46] Teh C Y, Mahmood M, Shaharuddin N A, et al.2015. In vitro rice shoot apices as simple model to study the effect of NaCl and the potential of exogenous proline and glutathione in mitigating salinity stress. Plant Growth Regulation, 75(3): 771-781.
[47] Thornley J H M.1998. Dynamic model of leaf photosynthesis with acclimation to light and nitrogen. Annals of Botany, 81(3): 421-430.
[48] Urban O.2003. Physiological impacts of elevated CO2 concentration ranging from molecular to whole plant responses. Photosynthetica, 41(1): 9-20.
[49] Walker D A, Sivak M N, Prinsley R T, et al.1983. Simultaneous measurement of oscillations in oxygen evolution and chlorophyll a fluorescence in leaf pieces. Plant Physiology, 73(3): 542-549.
[50] Wang M, Xie B, Fu Y, et al.2015. Effects of different elevated CO2 concentrations on chlorophyll contents, gas exchange, water use efficiency, and PSII activity on C3 and C4 cereal crops in a closed artificial ecosystem. Photosynthesis Research, 126(2-3): 351-362.
[51] Wang X, Wang W, Huang J, et al.2017. Diffusional conductance to CO2 is the key limitation to photosynthesis in salt-stressed leaves of rice (Oryza sativa). Physiologia Plantarum, 163(1): 45-58.
[52] Wang X Y, Xu X M, Cui J.2015. The importance of blue light for leaf area expansion, development of photosynthetic apparatus, and chloroplast ultrastructure of Cucumis sativus grown under weak light. Photosynthetica, 53(2): 213-222.
[53] Way D A, Stinziano J R, Berghoff H, et al.2017. How well do growing season dynamics of photosynthetic capacity correlate with leaf biochemistry and climate fluctuations? Tree Physiology, 37(7): 879-888.
[54] Xing A, Gao Y, Ye L, et al.2015. A rare SNP mutation in Brachytic2 moderately reduces plant height and increases yield potential in maize. Journal of Experimental Botany, 66(13): 3791-3802.
[55] Xiong D, Wang D, Liu X, et al.2016. Leaf density explains variation in leaf mass per area in rice between cultivars and nitrogen treatments. Annals of Botany, 117(6): 963-971.
[56] Xu J Z, Yu Y M, Peng S Z, et al.2014. A modified nonrectangular hyperbola equation for photosynthetic light-response curves of leaves with different nitrogen status. Photosynthetica, 52(1): 117-123.
[57] Ye Z P.2007. A new model for relationship between irradiance and the rate of photosynthesis in Oryza sativa. Photosynthetica, 45: 637-640.
[58] Ye Z P, Suggett D J, Robakowski P, et al.2013. A mechanistic model for the photosynthesis-light response based on the photosynthetic electron transport of photosystem II in C3 and C4 species. New Phytologist, 199: 110-120.
[59] Zhu J J, Tremblay N, Liang Y L.2012. Comparing SPAD and at LEAF values for chlorophyll assessment in crop species. Canadian Journal of Soil Science, 92(4): 645-648.
[60] Zufferey V, Murisier F, Schultz H R.2000. A model analysis of the photosynthetic response of Vitis vinifera L. cvs Riesling and Chasselas leaves in the field: I. interaction of age, light and temperature. Vitis, 39(1): 19-26.
[61] Zvalinsky V I, Tishchenko P Y.2016. Modeling photosynthesis and the growth of marine phytoplankton. Oceanology, 56(4): 527-539.
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