A simple method for estimating the nitrate nitrogen concentration based ondry matter in standing sorghum (Sorghum bicolor Moench) using stem juice test and dry matter content

Citation
H. Harada et al., A simple method for estimating the nitrate nitrogen concentration based ondry matter in standing sorghum (Sorghum bicolor Moench) using stem juice test and dry matter content, SOIL SCI PL, 47(3), 2001, pp. 601-609
Citations number
13
Categorie Soggetti
Agriculture/Agronomy
Journal title
SOIL SCIENCE AND PLANT NUTRITION
ISSN journal
00380768 → ACNP
Volume
47
Issue
3
Year of publication
2001
Pages
601 - 609
Database
ISI
SICI code
0038-0768(200109)47:3<601:ASMFET>2.0.ZU;2-F
Abstract
A simple method was developed for estimating the nitrate nitrogen (NO3-N) c oncentration in standing sorghum (Sorghum bicolor Moench) crop at maturity. In the method, the concentration of NO3-N in whole plants on a dry matter basis can be accurately estimated by multiplying the concentration factor ( CF, NO3-N concentration of stem on a fresh matter basis) by the dilution fa ctor (DF, dry matter partitioning ratio of stem divided by the dry matter c ontent of stem or fresh matter weight of stem divided by the dry matter wei ght of whole plant). CF was linearly correlated with the NO3-N concentratio n in stem juice squeezed from stem discs with a thickness of 1 cm obtained by cutting horizontally at a location corresponding to a ratio of 25% to th e total stem length. CF can be estimated by multiplying the NO3-N concentra tion in stem juice by a factor of 0.68 or 0.53 for grain and dual purpose t ypes or sorgo type, respectively. The values of the coefficients of determi nation (R-2) of the linear regression were above 0.7. When DF was plotted w ith the dry matter content of whole plants (DM%), regression curves were ob tained for both sorghum types with R-2>0.8. The equations were as follows: DF= 0.00721 X-2-0.503X+10.72 for grain and dual purpose types, DF=0.00445 X -2 -0.337X+8.86 for sorgo type, where X is DM%. The NO3-N concentrations es timated by multiplying CF by DF enabled to predict the measured NO3-N conce ntrations with an R-2 of 0.873.