D. Laya et al., A modified parametric index to estimate yield potentials for irrigated alfalfa on soils with gypsum in Quinto (Aragon, Spain), GEODERMA, 87(1-2), 1998, pp. 111-122
A modelling approach is described to assess potential productivity of soils
with gypsum in Quinto (northeastern Spain) for irrigated alfalfa, taking i
nto account the environmental conditions, described during a detailed soil
survey, and different management levels. The soils assessed in this article
are: Xeric Torrifluvents, Xeric Torripsamments, Typic Haplogypsids, and Ty
pic Haplocalcids. The methodology considers only two hierarchically ordered
production situations. The simplest or highest situation is an alfalfa cro
pping system in which the production potential depends on radiation and tem
perature regime during the crop cycle. As these factors cannot normally be
manipulated, the yield of alfalfa is only determined by its physiological c
haracteristics, the prevailing level of irradiance and the temperature regi
me. Calculation of this climatic production potential (CPP) is based on the
crop growth model of FAO AEZ-project. Water availability is considered opt
imal under irrigation, therefore yield potential in the second hierarchical
production situation is determined by reducing the CPP for unfavourable so
il conditions, including gypsum content, and by considering different manag
ement levels. The effect of unfavourable soil characteristics on the final
land production potential (LPP), is expressed by a soil index, calculated u
sing a parametric approach. The correlation between predicted yields and ac
tual reported yields suggests a close resemblance between the simulated pro
duction environment and the situation in which alfalfa grows. The proposed
model is useful in assessing comparative land productivity and allows an ev
aluation of the impact of the considered soil characteristics on the final
crop production. Quantification of the major constraints allows estimation
of the required inputs to increase productivity. (C) 1998 Elsevier Science
B.V. All rights reserved.