The trees of the Water People: archeological waterlogged wood identification and near-infrared analysis in Eastern Amazonia

Author(s):  
Thaís A. P. Gonçalves ◽  
Alexandre G. Navarro ◽  
Silvana Nisgoski ◽  
Júlia Sonsin-Oliveira
NIR news ◽  
2008 ◽  
Vol 19 (1) ◽  
pp. 4-7 ◽  
Author(s):  
Erik Tønning ◽  
Lars Nørgaard ◽  
Søren B. Engelsen ◽  
Lene Pedersen ◽  
Kim H. Esbensen

Animals ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 343
Author(s):  
Anna Lavery ◽  
Conrad Ferris

The efficiency with which dairy cows convert dietary nitrogen (N) to milk N is generally low (typically 25%). As a result, much of the N consumed is excreted in manure, from which N can be lost to the environment. Therefore there is increasing pressure to reduce N excretion and improve N use efficiency (NUE) on dairy farms. However, assessing N excretion and NUE on farms is difficult, thus the need to develop proximate measures that can provide accurate estimates of nitrogen utilisation. This review examines a number of these proximate measures. While a strong relationship exists between blood urea N and urinary N excretion, blood sampling is an invasive technique unsuitable for regular herd monitoring. Milk urea N (MUN) can be measured non-invasively, and while strong relationships exist between dietary crude protein and MUN, and MUN and urinary N excretion, the technique has limitations. Direct prediction of NUE using mid-infrared analysis of milk has real potential, while techniques such as near-infrared spectroscopy analysis of faeces and manure have received little attention. Similarly, techniques such as nitrogen isotope analysis, nuclear magnetic resonance spectroscopy of urine, and breath ammonia analysis may all offer potential in the future, but much research is still required.


1999 ◽  
Vol 394 (2-3) ◽  
pp. 135-147 ◽  
Author(s):  
Alexey Heiman ◽  
Stuart Licht

1998 ◽  
Vol 90 (1) ◽  
pp. 16-21 ◽  
Author(s):  
Yehoshua Saranga ◽  
Ari Landa ◽  
Yehuda Shekel ◽  
Arie Bosak ◽  
Uzi Kafkafi

Author(s):  
Zhong Xue ◽  
Bing Xu ◽  
Xinyuan Shi ◽  
Chan Yang ◽  
Xianglong Cui ◽  
...  

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