Pabico (2008) Optimizing the Cultivar Coefficients in Ceres-Rice Model Using Simulated Breeding

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Optimizing the Cultivar Coefficients in Ceres-Rice Model Using Simulated Breeding

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CONTRIBUTORS:

Author:

Pabico, Jaderick P. (University of the Philippines Los Banos)

PROCEEDINGS TITLE:

Proceedings (CDROM) of the Joint 19th Philippine Agricultural Engineering Week/58th Philippine Society of Agricultural Engineers Annual National Convention/6th International Agricultural Engineering Conference and Exhibition

YEAR:

2008

PUB TYPE:

Conference Paper in Proceedings

PAGES:

n/a - n/a

SUBJECT(S):

Ceres-Rice model; cultivar coefficients; simulated selective breeding; optimization

DISCIPLINE:

Computer Science

HTTP:

http://www.ics.uplb.edu.ph/node/276

LANGUAGE:

English

PUB ID:

103-444-115 (Last edited on 2008/07/18 21:56:48 GMT-6)

SPONSOR(S):

ABSTRACT:
The Ceres-Rice model requires as inputs crop- and cultivar-specific data that provide coefficients for considering the effects of the gene-environment interactions of a rice cultivar. Crop modelers use two techniques to calculate these coefficients: By trial-and-error, which is tedious to implement and error-prone, even when performed by expert modelers; Or by the use of the Genetic Coefficient Calculator (GENCALC), which uses a deterministic stepwise procedure to automatically adjust the coefficients with values within the plant's realistic physiological ranges, but often results with non-optimal coefficients. This paper presents a procedure that uses selective breeding as a metaphor and guarantees near-optimal coefficients. A breeding program is performed on a population of abstract entities whose genetic codes are the cultivar coefficients. These entities will undergo a series of operations called selective mating and random mutation over a number of breeding generations, allowing them to evolve with coefficients that can provide simulated outputs closer to the experimental trial data. This strategy was used to “breed” the cultivar coefficients in Ceres-Rice using the environmental and management data from actual field experiments conducted in Pila, Laguna in 1985 involving IR58. Using the mean relative error as a measure of closeness of the simulated growth variables to that of the observed data, the result of the simulation using the coefficients found by simulated breeding is closer to the actual trial data than that of the simulation using the coefficients found by GENCALC.

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