机构地区:[1]The State Key Laboratory of Management and Control for Cormplex Systems,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,P.R.China [2]Bejjing Engineering Research Center of Intelligent Systems and Technology,Institute of Automation,Chinese Academy of Sciences,Bejing 100190,P.R.China [3]Innovation Center for Parallel Agriculture,Qingdao Academy of Intelligent Industries,Qingdao 266109,P.R.China [4]School of Computer Science and Information Engineering,Chongqing Technology and Business University,Chongqing 400067,P.R.China [5]College of Information and Electrical Engineering,China Agricultural University,Beijing 100083,P.R.China [6]College of Land Science and Technology,China Agricultural University,Beijing 100193,P.R.China [7]Agricultural Genomes Institute at Shenzhen,Chinese Academy of Agricultural Sciences,Shenzhen 518124,P.R.China [8]AMAP,University Montpellier,CIRAD,CNRS,INRA,IRD,Montpellier 34000,France [9]The School of Computer and Control Engineering,University of Chinese Academy of Sciences,Beijing 100049,P.R.China
出 处:《Journal of Integrative Agriculture》2020年第7期1789-1801,共13页农业科学学报(英文版)
基 金:This work was supported by the National Natural Science Foundation of China(31700315 and 61533019);the Natural Science Foundation of Chongqing,China(cstc2018jcyjAX0587);the Chinese Academy of Science(CAS)-Thailand National Science and Technology Development Agency(NSTDA)Joint Research Program(GJHZ2076);The authors thank Wang Qian and Mory Diakite for their assistance in the experiment.
摘 要:To elucidate the mechanisms underlying the differences in yield formation among two parents(P1 and P2) and their F1 hybrid of cucumber, biomass production and whole source–sink dynamics were analyzed using a functional–structural plant model(FSPM) that simulates both the number and size of individual organs. Observations of plant development and organ biomass were recorded throughout the growth periods of the plants. The GreenLab Model was used to analyze the differences in fruit setting, organ expansion, biomass production and biomass allocation. The source–sink parameters were estimated from the experimental measurements. Moreover, a particle swarm optimization algorithm(PSO) was applied to analyze whether the fruit setting is related to the source–sink ratio. The results showed that the internal source–sink ratio increased in the vegetative stage and reached a peak until the first fruit setting. The high yield of hybrid F1 is the compound result of both fruit setting and the internal source–sink ratio. The optimization results also revealed that the incremental changes in fruit weight result from the increases in sink strength and proportion of plant biomass allocation for fruits. The model-aided analysis revealed that heterosis is a result of a delicate compromise between fruit setting and fruit sink strength. The organlevel model may provide a computational approach to define the target of breeding by combination with a genetic model.
关 键 词:CUCUMBER biomass production functional-structural plant model source-sink ratio FRUIT-SETTING PSO HETEROSIS
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