ISIde: a rice modelling platform for in silico ideotyping.

2016 - Computers and Electronics in Agriculture, 128, 46-49
Paleari, L., Bregaglio, S., Cappelli, G., Movedi, E., Confalonieri, R.


Ecophysiological models can be successfully used to analyze genotype by environment interactions, thus
supporting breeders in identifying key traits for specific growing conditions. This is especially true for
traits involved with resistance/tolerance to biotic and abiotic stressors, which occurrence can vary greatly
both in time and space. However, no modelling tools are available to be used directly by breeders, and
this is one of the reasons that prevents an effective integration of modelling activities within breeding
programs. ISIde is a software platform specifically designed for district-specific rice ideotyping targeting
(i) resistance/tolerance traits and (ii) breeders as final users. Platform usability is guaranteed by a highly
intuitive user interface and by exposing to users only settings involved with genetic improvement. Other
information needed to run simulations (i.e., data on soil, climate, management) is automatically provided
by the platform once the study area, the variety to improve and the climate scenario are selected.
Ideotypes indeed can be defined and tested under current and climate change scenario, thus supporting
the definition of strategies for breeding in the medium-long term. Comparing the performance of current
and improved genotype, the platform provides an evaluation of the yield benefits exclusively due to the
genetic improvement introduced. An example of the application of the ISIde platform in terms of functionalities
and results that can be achieved is reported by means of a case study concerning the improvement
of tolerance to heat stress around flowering in the Oristanese rice district (Italy). The platform is
currently available for the six Italian rice districts. However, the software architecture allows its extension
to other growing areas – or to additional genotypes – via dedicated tools available at the application

Keywords: Blast, breeding, climate change, fungal pathogens, spikelet sterility, WARM
DOI: 10.1016/j.compag.2016.08.018

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