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Mathematical Description of the Influence of Temperature and Seed Quality on Imbibition by Seeds of Corn (<i>Zea mays</i> L.)<sup>1</sup>
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1972
Year
EngineeringBotanyMathematical DescriptionAgricultural EconomicsSeed QualityExponential CurveCrop PhysiologyCrop QualitySustainable AgriculturePublic HealthFourth Order PolynomialWater CapacityPlant-abiotic InteractionCrop YieldCrop Water RelationCrop Growth ModelingCrop ScienceSeed GerminationSeed ProcessingPlant Physiology
Imbibition by seeds of corn ( Zea mays L.) was described by the equation W=f(t) — (α‐W 0 ')/exp(kt) where W is the water content of the seed on a dry weight basis, f(t) = α ┼ bt and is the asymptote of the exponential curve where a is the asymptote at time t= 0 and b the slope, and W 0 ' is an adjusted initial water content. The rate constant k was shown to be related to the permeability of the seed to water, α to the initial water capacity of the seed, and b to the rate of change in the water capacity of the seed during imbibition which was related to elongation of the radicle and shoot. The initial water content, W 0 , was linearly related to the relative humidity of the atmosphere in which the seed had equilibrated. The parameters k, b, and α were not significantly affected when W 0 varied from 2.0 to 13.9%. Both k and b increased exponentially with temperature with a Q 10 of 2.37 and 1.85, respectively, over the range 12 to 31C and 12 to 32.5, respectively; there was a sharp departure from the exponential relationship outside these ranges of temperature. The energy of activations of the exponential and linear phases of imbibition were 15.3 and 9.1 kcal/mole, respectively. The parameter α varied less dramatically with temperature and was fitted by a fourth order polynomial in temperature with a minimum at 26C. The parameters of the imbibition curve also were a function of age and variety of the seed. A survey of the literature showed that the equation for imbition could be used to describe imbibition of a wide range of seeds. The equation will be used in a mathematical model to predict germination and emergence of corn in a changing environment.