000131710 001__ 131710
000131710 005__ 20241125101158.0
000131710 0247_ $$2doi$$a10.1007/s11104-023-06427-3
000131710 0248_ $$2sideral$$a137066
000131710 037__ $$aART-2023-137066
000131710 041__ $$aeng
000131710 100__ $$aMoret-Fernández, D.
000131710 245__ $$aA new methodology to characterize the kinetics of a seed during the imbibition process
000131710 260__ $$c2023
000131710 5060_ $$aAccess copy available to the general public$$fUnrestricted
000131710 5203_ $$aAbstract
Aims
Assuming the saturated, θs, and residual θr volumetric water contents of a seed as known inputs, we present a methodology to determine the hydraulic properties of a seed: α, n parameters and hydraulic conductivity Ks.
Methods
The seed is considered as a porous material in which water flow is governed with the same hydraulic properties defined for soils. Using the HYDRUS-2D software, the hydraulic properties of a seed were estimated from the inverse analysis of several cumulative seed imbibition curves measured at different seed water potentials, h. The optimum number of h was evaluated on synthetic seeds. The theoretical analysis was validated in laboratory experiments on barley, wheat and vetch seeds, where imbibition curves were measured with germination tests at seven levels of h (from 0 to -2.50 MPa).
Results
The theoretical analysis showed that accurate estimates of α, n and Ks can be obtained if the most negative h-values are included in the optimization. The sensitivity analysis showed that the method allows obtaining a unique solution of α, n and Ks. The optimization error on the theoretical α, n and Ks was less than 1%. A satisfactory validation was also obtained on the experimental seed imbibition curves, with robust fits between the measured and optimized data. A unique solution of α, n and Ks was also obtained in all cases.
Conclusions
A new method to determine the hydraulic properties of a seed is presented. This methodology could be used in different areas involving seed imbibition and also to simulate seed imbibition in different scenarios.
000131710 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000131710 590__ $$a3.9$$b2023
000131710 592__ $$a1.135$$b2023
000131710 591__ $$aPLANT SCIENCES$$b49 / 265 = 0.185$$c2023$$dQ1$$eT1
000131710 593__ $$aSoil Science$$c2023$$dQ1
000131710 591__ $$aAGRONOMY$$b15 / 126 = 0.119$$c2023$$dQ1$$eT1
000131710 593__ $$aPlant Science$$c2023$$dQ1
000131710 591__ $$aSOIL SCIENCE$$b14 / 49 = 0.286$$c2023$$dQ2$$eT1
000131710 594__ $$a8.2$$b2023
000131710 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000131710 700__ $$0(orcid)0000-0001-7037-4970$$aTormo, J.$$uUniversidad de Zaragoza
000131710 700__ $$aLatorre, B.
000131710 7102_ $$15011$$2220$$aUniversidad de Zaragoza$$bDpto. CC.Agrar.y Medio Natural$$cÁrea Ecología
000131710 773__ $$g498 (2023), 181–197$$pPlant soil$$tPLANT AND SOIL$$x0032-079X
000131710 8564_ $$s2236142$$uhttps://zaguan.unizar.es/record/131710/files/texto_completo.pdf$$yVersión publicada
000131710 8564_ $$s1718248$$uhttps://zaguan.unizar.es/record/131710/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000131710 909CO $$ooai:zaguan.unizar.es:131710$$particulos$$pdriver
000131710 951__ $$a2024-11-22-12:10:11
000131710 980__ $$aARTICLE