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Relationships between photosystem II efficiency and photochemical reflectance index under different levels of illumination: comparison among species grown at high- and low elevations through different seasons.

机译:不同光照水平下光系统II效率与光化学反射指数之间的关系:高海拔和低海拔不同季节生长的物种之间的比较。

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Previously, we found a significant association between photosystem II efficiency ( Phi PSII) and photochemical reflectance index (PRI) measured at predawn among different species at different elevations and throughout several seasons. However, this relationship has not been evaluated under varied levels of illumination. Here, we used the Taiwan species Pinus taiwanensis (a conifer distributed at 750-3,000 m a.s.l.), Stranvaesia niitakayamensis (an evergreen tree, 1,700-3,100 m) and two Miscanthus spp. (perennial C4 Gramineae, coastline-3,200 m) to elucidate the Phi PSII-PRI relationship. We studied six levels of photosynthetic photon flux density (PPFD) (0, 200, 400, 800, 1,200 and 2,000 micro mol m-2 s-1) over several growth seasons at high (2,600 m a.s.l.) and low (800 m a.s.l.) elevation sites. In comparing the same species or genus, Phi PSII and PRI were closely correlated in darkness or under the same level of PPFD, with data obtained from different seasons and elevations pooled for regression analysis. Because both the intercept and slope of the Phi PSII-PRI equation showed a negative curvilinear correlation with PPFD, we could fit an empirical regression model, Phi PSII=c+d.ln(PPFD)+e.[ln(PPFD)]2+f.PRI+g.PRI.ln(PPFD)+h.PRI.[ln(PPFD)]2, for multiple regression analysis. Using this model, we found a close correlation between the estimated and measured Phi PSII (r2=0.842-0.937, P<0.001) for all four species examined and for mango (Mangifera indica) measured under both artificial illumination and sunlight (data from Weng et al. 2010). This empirical regression model could simulate both seasonal and diurnal variations of leaf-scale photosynthetic efficiency at high and low elevations.
机译:以前,我们发现在黎明前测得的不同物种,不同海拔和整个季节的光系统II效率(Phi PSII)和光化学反射指数(PRI)之间存在显着关联。但是,尚未在变化的照明水平下评估这种关系。在这里,我们使用的是台湾树种(i>台湾松(),分布在750-3,000 m asl的针叶树), Stranvaesia niitakayamensis (一棵常绿的树,1,700-3,100 m)和两个。 i> Miscanthus spp。 (常年C 4 禾本科,海岸线3,200 m)阐明Phi PSII-PRI关系。我们研究了几种生长水平的六个水平的光合光子通量密度(PPFD)(0、200、400、800、1,200和2,000 micro mol m -2 s -1 )高海拔(2,600 m asl)和低海拔(800 m asl)的季节。在比较相同物种或属时,Phi PSII和PRI在黑暗中或在相同PPFD水平下密切相关,并汇总了不同季节和海拔的数据进行回归分析。由于Phi PSII-PRI方程的截距和斜率都与PPFD呈负曲线相关,因此我们可以拟合经验回归模型Phi PSII = c + d 。 ln(PPFD)+ e 。[ln(PPFD)] 2 + f .PRI + g .PRI。 ln(PPFD)+ h .PRI。[ln(PPFD)] 2 ,用于多元回归分析。使用此模型,我们发现估算的Phi PSII与实测的PSII之间存在密切相关性( r 2 = 0.842-0.937, P <0.001)对这四个物种进行了检查,并在人工光照和阳光下测量了芒果(Mangifera indica )(数据来自Weng等人的 2010 )。该经验回归模型可以模拟高海拔和低海拔下叶片尺度光合效率的季节性和昼夜变化。

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