In:
Journal of Agricultural Science, Canadian Center of Science and Education, Vol. 10, No. 12 ( 2018-11-15), p. 126-
Kurzfassung:
Soil water retention curve (SWRC) is an important soil attribute because it is a soil quality indicator and is fundamental to study water dynamics in the soil-plant-atmosphere system. Since the conventional SWRC determination is laborious and time-consuming, making it difficult to process a large volume of samples, pedotransfer functions have been used to estimate it by using other soil physical attributes easily determined. Thus, this study aimed to apply Arya-Paris model to SWRC estimation for soils of Bahia state, Brazil, based on soil particle-size analysis, and to compare estimated and determined data of SWRC. Samples were collected from horizons A and AB and/or B and/or C, for a total of 15 soils and 62 horizons. Particle-size was determined by automatic soil particle-size analyzer (PSA) based on g-ray attenuation and traditional Bouyoucos & rsquo; hydrometer (BH) method. Arya-Paris model showed better SWRC predictions for sandy soils, followed by clayey, loamy, and very clayey soils. Good model performance was observed for all soils together. The & alpha; 1 scaling factor provided better predictions, followed by & alpha; 3, and & alpha; 2 showed unsatisfactory behavior. BH method, using only 7 soil particle-size fractions, gave slightly higher predictions than PSA using 30 soil particle-size fractions.
Materialart:
Online-Ressource
ISSN:
1916-9760
,
1916-9752
DOI:
10.5539/jas.v10n12p126
Sprache:
Unbekannt
Verlag:
Canadian Center of Science and Education
Publikationsdatum:
2018
ZDB Id:
2501913-2
