Estimation of Nutrient Mass Balance in a Phragmites Australis Community in Jinudo Through a Mesocosm Experiment

Author(s):  
Sung Hoon RYU ◽  
◽  
In cheol LEE
2008 ◽  
Vol 76 (1) ◽  
pp. 175-185 ◽  
Author(s):  
João Magalhães Neto ◽  
Mogens René Flindt ◽  
João Carlos Marques ◽  
Miguel Ângelo Pardal

2016 ◽  
Vol 8 (6) ◽  
pp. 22 ◽  
Author(s):  
Jack Van Almelo ◽  
Quirine M. Ketterings ◽  
Sebastian Cela

<p>A whole farm nutrient mass balance (NMB) assessment gathers information on farm characteristics, nutrient imports and exports; provides indicators of farm production efficiency, potential environmental footprint; and helps identify opportunities for management improvements. Simplifying the data collection process facilitates wider NMB adoption. Our objectives were to: (1) integrate the NMB assessment into “Fields and Crops Manager”, an on-farm crop management program; (2) evaluate existing, on-farm, software packages for their ability to supply data for the assessment; and (3) document farmer response prior to and after conducting an NMB with the integrated record system. Software evaluated included the DRMS DHI-202 Herd Summary report, Centerpoint Accounting, PCDART and Quickbooks Accounting software, FeedWatch and TMR Tracker feeding systems, and Dairy Comp 305 herd management software. Six dairy farmers participated in the evaluation. The NMB results were presented and discussed in group meetings with each farmer. The records in the Fields and Crops Manager program and other software packages were not complete enough to allow for automated transfer of data into the NMB tool. Instead, the new NMB function within Fields and Crops Manager was used as a platform to enter, calculate, and store the NMB. Despite initial hesitation about participating, all six farmers concluded that (1) the NMB assessment was worth the data collection effort; and (2) meetings with farm advisors (crop planner, nutritionist) greatly improved the value of the NMB. The biggest obstacle to calculating NMBs can be overcome if purchases are recorded in the farm’s accounting software as invoices are entered.</p>


2019 ◽  
Vol 97 (Supplement_2) ◽  
pp. 154-155
Author(s):  
Megan Homolka ◽  
Galen E Erickson ◽  
Richard Koelsch

Abstract This research summarizes a large existing data base collected over fifteen years to examine origin and fate of nitrogen and phosphorous in an open lot beef system, as impacted by seasonal changes, diets, and management practices. Data from 15 winter trials, including 200 pens, and 15 summer trials, including 216 pens were reviewed for nutrient mass balance, which was then used to determine the correlations of season, diet, and management with nitrogen and phosphorous intake, retention, manure harvested, loss, and runoff. All relationships were evaluated using linear regression SAS. Results suggested N in harvested manure for winter and summer averaged 90 and 51 g/steer daily, respectively (compared to ASABE standard of 88.5) and P harvested in manure for winter and summer averaged 26 and 17.7 g/steer daily, respectively (compared to ASABE standard of 37.5). Results of this summary show that the amount of nitrogen lost and retained in the manure is correlated to season (winter versus summer feeding period). Nitrogen in the manure (R2=0.21) and amount lost (R2=0.65) correlations with N intake in the summer were greater compared to winter (R2=0.06) and (R2=0.22). There is a greater correlation of phosphorous intake with amount harvested in manure (R2=0.32) in the winter versus the summer (R2=0.19). Results of the mass balance data compared with ASABE standards suggest greater observed dietary nutrient intakes than assumed by these standards. For example, average winter and summer nitrogen intakes of 220 and 250 g/steer daily exceeds the ASABE standard of 192 g/steer daily. These unique data describe the variability of nutrient recovery and losses from beef systems—and the importance of basing standard planning estimates on dietary concentration and evolving with current practices.


2012 ◽  
Vol 90 (1) ◽  
pp. 296-306 ◽  
Author(s):  
M. K. Luebbe ◽  
G. E. Erickson ◽  
T. J. Klopfenstein ◽  
M. A. Greenquist

2008 ◽  
Vol 87 (12) ◽  
pp. 2477-2485 ◽  
Author(s):  
T. Applegate ◽  
S. Adedokun ◽  
W. Powers ◽  
R. Angel

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