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An FSPM approach for modeling fruit yield and quality in mango trees

Boudon F., Persello S., Jestin A., Briand A.S., Fernique P., Guédon Y., Lechaudel M., Grechi I., Normand F.. 2016. In : Book of abstracts poster: 2016 IEEE International Conference on Functional-Structural Plant Growth Modeling, Simulation, Visualization and Applications (FSPMA 2016). Qingdao : FSPMA, p. 81-81. IEEE International Conference on Functional-Structural Plant Growth Modeling, Simulation, Visualization and Applications (FSPMA 2016), 2016-11-07/2016-11-11, Qingdao (Chine).

Research focus - Mango (Mangifera indica L.), the fifth most cultivated fruit in the world, is mainly produced in tropical and subtropical regions. Its cultivation raises a number of issues: (i) mango yield is irregular across years, (ii) phenological asynchronisms within and between trees maintain long periods with phenological stages susceptible to pests and diseases, and (iii) fruit quality and maturity are heterogeneous at harvest. To address these issues, we developed an integrative model synthesizing the knowledge acquired on the vegetative and reproductive development of mango tree architecture and fruit quality. Its objective was to simulate yield and quality of mango at the tree scale over successive growing cycles. Methods - The proposed functional-structural plant model of the mango tree combined complementary architectural, phenological and ecophysiological knowledges and relied on two sub-models parameterized for the cultivar Cogshall in Réunion Island. The first sub-model simulated the development of mango tree architecture. The appearance of the different organs (growth units, inflorescences, fruits) was decomposed into elementary events describing the occurrence, the intensity and the timing of vegetative and reproductive development. These events are affected by structural and temporal architectural factors and the corresponding probabilities were estimated using generalized linear models, leading to development rules. Daily growth and development of growth units and inflorescences were modelled using empirical size distributions and thermal time. Fruit growth and quality development were simulated by a second sub-model. It took into account the effects of the environment and accounted for carbon- (i.e., leaf photosynthesis, mobilization/storage of reserves, respiration, demand for growth and carbon allocation) and water-related (i.e., water flows driven by stem and fruit water potentials and fruit transpiration) processes occurring at the branch le

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