Effect of long‐term application of manure and nitrogen fertilizer on infiltration for a wheat–maize rotation system. (31st July 2018)

• Record Type: Journal Article
• Authors: Liu, Shutang; Zhang, Hanyu; Liu, Qianjin; Zong, Hui; Yu, Xingxiu
• Is Part Of: Land degradation & development. Volume 29:Number 10(2018)
• Page Start: 3250
• Page End: 3261
• Publication Date: 2018-07-31
• Subjects: bulk density -- infiltration -- manure -- nitrogen fertilizer -- organic matter content; Land degradation -- Periodicals; Soil conservation -- Periodicals; Reclamation of land -- Periodicals; Land use -- Periodicals; Economic development -- Environmental aspects -- Periodicals; 333.7315
• DOI: 10.1002/ldr.3060
• Languages: English
• ISSNs: 1085-3278

Abstract

Abstract: Modelling soil infiltration capacity and identifying controlling factors under long‐term fertilizer application could help in developing better fertilization treatments to increase infiltration, thereby preventing land degradation. This study was performed at Laiyang long‐term fertilization experimental field in Shandong Province, China. Three application rates of manure (0, 30, 000, and 60, 000 kg ha −2 ) and nitrogen (0, 138, and 276 kg ha −2 ) were full designed in a nine‐treatment randomized block design with three replicates per treatment. The infiltration processes were detected using an automatic infiltration measurement system and represented by three indices, that is, initial infiltration rate for the first 3 min ( I i ), the average infiltration rate for the whole 30‐min period ( I a ), and the final infiltration rate for the last 3 min ( I f ). Manure application could increase I a and I f significantly ( p < 0.01). Nitrogen application had no significant effect on infiltration. The linkage between potential influencing factors and infiltration capacity indices was analysed by partial least squares regression (PLSR), an efficient method that can deal with high colinear variables. The optimal PLSR model could explain 95% of the variability in potential influencing factors and 92% of the variability in soil infiltration capacity indices and could predict 82% of the variability in soil infiltration capacity. Three soil properties, that is, organic matter content, bulk density, and weight ratio of soil aggregate with diameter greater than 0.25 mm measured using wet sieving method, were identified as main influencing factors. The results would be informative to assess infiltration and then land degradation after a long‐term cultivation.