Field Indicators of Nitrogen Mineralization

Author(s):  
J. S. Schepers ◽  
J. J. Meisinger
2018 ◽  
Vol 13 (1) ◽  
pp. 23
Author(s):  
Rosileyde Golçalves Siqueira Cardoso ◽  
Adriene Woods Pedrosa ◽  
Mateus Cupertino Rodrigues ◽  
Ricardo Henrique Silva Santos ◽  
Paulo Roberto Cecon ◽  
...  

The knowledge about the rate of decomposition and nitrogen mineralization of green manures provides synchronization with the higher absorption stage by the coffee tree. The rate of decomposition and nitrogen mineralization varies according to the species of green manure and with the environmental factors. The aim of the present study was to evaluate the decomposition and nitrogen mineralization of two green manures intercropped with coffee trees for three different periods. The experiment was divided into two designs for statistical analysis, one referring to the characterization of plant material (fresh mass, dry matter, dry matter content, nitrogen concentration and accumulation in the jack bean (Canavalia ensiformis) and hyacinth bean (Dolichos lablab) and another to evaluate the rate of decomposition and N mineralization of these species. The decomposition rate decreased in both species as their growth time increased in the field. The decomposition was influenced by the phenology of green manures. Nitrogen mineralization of the jack bean decreased as the growth period in the field increased and was faster than hyacinth bean only when cut at 60 days. The N mineralization was slower than mass decomposition in both species.


2019 ◽  
Vol 2 (1) ◽  
pp. 071-084
Author(s):  
Silwanus M. Talakua ◽  
Rafael M. Osok

The study was conducted in Wai Sari sub-watershed, Western Seram Regency Maluku to develop an accurate land degradation assessment model for tropical small islands. The Stocking’s field land degradation measurement and RUSLE methods were applied to estimate soil loss by erosion and the results of both methods were statistically tested in order to obtain a correction factor. Field indicators and prediction data were measured on 95 slope units derived from the topographic map. The rates of soil loss were calculated according to both methods, and the results were used to classify the degree of land degradation. The results show that the degree of land degradation based on the field assessment ranges from none-slight (4.04 - 17.565 t/ha/yr) to very high (235.44 - 404.00 t/ha/yr), while the RUSLE method ranges from none-slight (0.04-4.59 t/ha/yr) to very high 203.90 - 518.13 t/ha/yr.  However, the RUSLE method shows much higher in average soil loss (133.4 t/ha/yr) than the field assessment (33.9 t/ha/yr). The best regression equation of  logD/RP = - 0.594 + 1.0 logK + 1.0 logLS + 1.0 logC or D = 0.2547xRxKxLSx CxP was found to be a more suitable land degradation assessment  model for a small-scale catchment area in the tropical small islands.


2004 ◽  
Vol 68 (2) ◽  
pp. 489 ◽  
Author(s):  
R. L. Haney ◽  
A. J. Franzluebbers ◽  
E. B. Porter ◽  
F. M. Hons ◽  
D. A. Zuberer

CATENA ◽  
2021 ◽  
Vol 203 ◽  
pp. 105352
Author(s):  
Qianqian Zuo ◽  
Shaojun Wang ◽  
Ping Wang ◽  
Qianbin Cao ◽  
Shuang Zhao ◽  
...  

2000 ◽  
Vol 32 (10) ◽  
pp. 1345-1352 ◽  
Author(s):  
Joann K. Whalen ◽  
Peter J. Bottomley ◽  
David D. Myrold

Author(s):  
Christopher Daniel Burt ◽  
Taylor Chapman ◽  
Dave Bachoon ◽  
Miguel L Cabrera ◽  
Christopher Horacek

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