Handbook of Near-Infrared Analysis, 2nd ed., Revised and Expanded. Practical Spectroscopy Series Volume 27 Edited by D. A. Burns (NIR Resources) and E. W. Ciurczak (Purdue Pharma LP). Dekker:  New York. 2001. xv + 814 pp. $225.00. ISBN:  0-8247-0534-3.

2002 ◽  
Vol 124 (19) ◽  
pp. 5603-5604 ◽  
Author(s):  
Robert A. Lodder
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.


2017 ◽  
Vol 27 (4) ◽  
pp. 530-538 ◽  
Author(s):  
Sarah J. Pethybridge ◽  
Niloofar Vaghefi ◽  
Julie R. Kikkert

Table beet (Beta vulgaris ssp. vulgaris) production in New York is increasing for direct sale, use in value-added products, or processing. One of the most important diseases affecting table beet is cercospora leaf spot (CLS) caused by the fungus Cercospora beticola. CLS causes lesions on leaves that coalesce and leads to premature defoliation. The presence of CLS may cause buyer rejection at fresh markets. Defoliation from CLS may also result in crop loss because of the inability to harvest with top-pulling machinery. The susceptibility of popular table beet cultivars (Boldor, Detroit, Falcon, Merlin, Rhonda, Ruby Queen, and Touchstone Gold) to CLS was tested using C. beticola isolates representative of the New York population. Two trials were conducted by inoculating 6-week-old plants in the misting chamber. A small-plot replicated field trial was also conducted to examine horticultural characteristics of the cultivars. In the misting chamber trials, disease progress measured by the area under the disease progress stairs (AUDPS) was not significantly different between the red cultivars, Detroit and Ruby Queen, and was significantly higher in ‘Boldor’ than the other yellow cultivar Touchstone Gold. In the field trial, the number of CLS lesions per leaf at the final disease assessment and AUDPS were significantly lower in cultivar Ruby Queen than others and not significantly different between the yellow cultivars. The dry weight of roots was not significantly different among cultivars at first harvest (77 days after planting). At 112 days after planting, the dry weight of roots was significantly higher in cultivar Detroit than Rhonda and Boldor. Leaf blade length and the length:width ratio were cultivar-dependent, which may facilitate selection for specific fresh markets. Significant associations between canopy reflectance in the near infrared (IR) (830 nm), dry weight of foliage, and number of CLS lesions per leaf suggested that this technique may have utility for remote assessment of these variables in table beet research. Implications of these findings for the management of CLS in table beet are discussed.


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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