Long-term estimation of the canopy photosynthesis of a leafy vegetable based on greenhouse climate conditions and nadir photographs
Long-term estimation of the canopy photosynthesis of a leafy vegetable based on greenhouse climate conditions and nadir photographs
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基于温室气候条件和最低点照片的叶类蔬菜冠层光合作用的长期估计
DOI：
10.1016/j.scienta.2021.110433
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发表时间：
2021
影响因子：
4.3
通讯作者：
Mori M. and Kitano M.
中科院分区：
文献类型：
--
作者：
Nomura K.;Yasutake D.;Kaneko T.;Iwao T.;Okayasu T.;Ozaki Y.;Mori M. and Kitano M.
在园艺作物生产中，根据温室气候条件准确估算冠层光合速率（Ac）对于预测和控制作物生长和产量具有实用价值。我们开发了一种方法，通过将冠层光合作用模型与图像分析相结合，从容易获得的信息（即气候数据和冠层照片）中连续估计温室Acin。冠层光合作用模型基于作物冠层的日照/遮荫表示，并结合单叶光合作用、气孔导度、传质和叶片能量平衡模型。这种组合允许 1) 将所有主要气候变量（即辐射、二氧化碳浓度、气温、湿度和风速）纳入估算中，2) 同时估算 Ac、冠层蒸腾速率 (Ec) 和叶片温度 (TL)。叶面积指数 (Lc) 在作物冠层的整个生长期间变化很大，通过最低点数码照片的间隙分数（即非叶面积的分数）进行非破坏性评估。将冠层光合作用模型和图像分析结果相结合，用于估计在环境和升高的 CO2 浓度（分别为 c.400 和 800 µmol mol−1）下生长的菠菜冠层的 Ac、Ec 和 TL。无论 CO2 浓度如何，Ac、Ec 和 TL 的估计值与整个生长期间使用开放室方法获得的测量结果非常一致。分析Acto输入变量的敏感性表明，气候变量对Accan的影响根据Lcan和入射辐射的不同而有很大差异。所提出的方法不仅可以根据容易获得的信息来估计Ac，还可以定量评估气候控制对Acin园艺温室的影响。
In horticultural crop production, accurately estimating the canopy photosynthetic rate (Ac) based on greenhouse climate conditions is of practical value for predicting and controlling crop growth and yield. We developed a method for continuously estimatingAcin a greenhouse from readily obtainable information (i.e., climatic data and canopy photographs) by combining a canopy photosynthesis model with image analysis. The canopy photosynthesis model was based on a sun/shade representation of the crop canopy combined with models of single-leaf photosynthesis, stomatal conductance, mass transfer and leaf energy balance. This combination allowed 1) the incorporation of all major climatic variables (i.e., radiation, CO2concentration, air temperature, humidity, and wind velocity) into theAcestimation and 2) the simultaneous estimation ofAc, canopy transpiration rate (Ec), and leaf temperature (TL). The leaf area index (Lc), which changes considerably throughout the growth period of a crop canopy, was evaluated nondestructively from the gap fractions of nadir digital photographs (i.e., the fractions of nonleaf area). The canopy photosynthesis model and image analysis results were combined and used to estimate theAc,Ec,andTLof spinach canopies grown at ambient and elevated CO2concentrations (c.400 and 800 µmol mol−1, respectively). Regardless of the CO2concentration, the estimates ofAc,Ec, andTLwere in good agreement with measurements obtained with the open chamber method throughout the growth period. Analyzing the sensitivity ofActo input variables revealed that the effects of climatic variables onAccan vary considerably depending on theLcand incoming radiation. The proposed method enables not only the estimation ofAcfrom readily obtainable information but also the quantitative evaluation of the effect of climate control onAcin horticultural greenhouses.
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勘误表：对植物工厂中不同二氧化碳浓度和生长阶段生长的生菜 (Lactuca sativa L.) 的冠层光合速率进行建模
影响因子：
2.4
作者：
D. Jung;Damin Kim;H. Yoon;T. Moon;K. Park;J. Son
通讯作者：
J. Son
长期连续测量叶类蔬菜冠层的光合作用和生长
DOI：
--
发表时间：
2018
期刊：
影响因子：
--
作者：
Koichi Nomura;Akihiro Takada;Hirosato Kunishige;Takashi Okayasu;Yukio Ozaki;Masaharu Kitano and Daisuke Yasutake
通讯作者：
Masaharu Kitano and Daisuke Yasutake
将冠层截获的辐射转化为光合产物：区域尺度建模方法的回顾。
影响因子：
3
作者：
B. Medlyn;D. Barrett;J. Landsberg;P. Sands;R. Clement
通讯作者：
R. Clement
DOI：
10.1016/s0304-4238(96)00923-5
发表时间：
1996
期刊：
影响因子：
--
作者：
H. Liebig
通讯作者：
H. Liebig