Many crop simulation models use genetic coefficients to characterize varieties or hybrids. Two methods now used with CERES-Maize to obtain genetic coefficients are
(1) direct experimental measurement
(2) estimation using the Genetic Coefficient
Most crop simulation models include parameters and coefficients that define responses and interactions with environmental and management conditions.
Genetic coefficients are mathematical constructs designed to mimic the phenotypic phenotypic outcome of genes under different environments to influence: (i) life cycle including fractional allocation to different phases, (ii) photosynthetic, (iii) vegetative, (iv) rooting, and (v) reproductive processes. Model sensitivity analyses was used to hypothesize genetic coefficients of soybean and impact on field performance. Yield improvement from increased leaf photosynthesis was shown to be small if coupled to specific leaf weight.
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