PERFORMANCE OF DUALEX IN SPRING WHEAT FOR CROP NITROGEN STATUS ASSESSMENT, YIELD PREDICTION AND ESTIMATION OF SOIL NITRATE CONTENT

2009 ◽  
Vol 33 (1) ◽  
pp. 57-70 ◽  
Author(s):  
Nicolas Tremblay ◽  
Zhijie Wang ◽  
Carl Bélec
Keyword(s):  
Spring Wheat ◽  
Nitrate Content ◽  
Yield Prediction ◽  
Soil Nitrate ◽  
Nitrogen Status ◽  
Status Assessment

Interaction between soil variability and maize nitrogen status assessment from Sentinel-2

2019 ◽  
Author(s):  
A. Crema ◽  
G. Vandini ◽  
M. Boschetti ◽  
F. Nutini ◽  
D. Cillis ◽  
...  
Keyword(s):  
Soil Variability ◽  
Nitrogen Status ◽  
Status Assessment ◽  
Sentinel 2

scholarly journals The feasibility of hand-held thermal and UAV-based multispectral imaging for canopy water status assessment and yield prediction of irrigated African eggplant (Solanum aethopicum L)

2021 ◽  
Vol 245 ◽  
pp. 106584
Author(s):  
Paul Reuben Mwinuka ◽  
Boniface P. Mbilinyi ◽  
Winfred B. Mbungu ◽  
Sixbert K. Mourice ◽  
H.F. Mahoo ◽  
...  
Keyword(s):  
Multispectral Imaging ◽  
Water Status ◽  
Yield Prediction ◽  
Status Assessment ◽  
Canopy Water

Urea treated whole crop wheat for dairy cattle

1990 ◽  
Vol 1990 ◽  
pp. 113-113 ◽  
Author(s):  
J.Hill ◽  
J.D. Leaver
Keyword(s):  
Dairy Cattle ◽  
Spring Wheat ◽  
Energy Concentration ◽  
Wheat Crop ◽  
Nitrogen Status ◽  
Urea Treatment ◽  
Grass Silage ◽  
Feeding Value ◽  
Forage Harvester ◽  
Dough Stage

Urea treated Whole Crop Wheat (WCW) provides a stable, alkaline high DM forage, which is a potential replacement for, or complement to grass silage. Harvesting at about 600 g DM/kg facilitates both optimum crop DM production and energy concentration within the crop. Urea treatment (40 kg/t DM) at harvest prevents fermentation during storage, and may increase the crop digestibility. The nitrogen status of the forage as ammonia is also increased. The aim of these experiments was to investigate the feeding value of WCW for dairy cattle, when offered as the sole basal feed.A spring wheat crop (var. Axona) was cut at about 600 .g DM/kg (hard dough stage), chopped using a conventional forage harvester and stored in an outdoor clamp silo. Urea was added at 40 kg/t DM during harvesting. After rolling, the clamp was sheeted with polythene for 125 days until feed out.

Relationship between Soil Nitrate Content and Activities of NADH: and NAD(P)H:Nitrate Reductases in Indian Mustard

2003 ◽  
Vol 46 (2) ◽  
pp. 295-296
Author(s):  
A. Ahmad ◽  
I. Khan ◽  
Y.P. Abrol ◽  
M.Z. Abdin
Keyword(s):  
Indian Mustard ◽  
Nitrate Content ◽  
Soil Nitrate

FEASIBILITY OF DETECTING SOIL NITRATE CONTENT USING A MID–INFRARED TECHNIQUE

2001 ◽  
Vol 44 (6) ◽  
Author(s):  
M. R. Ehsani ◽  
S. K. Upadhyaya ◽  
W. R. Fawcett ◽  
L. V. Protsailo ◽  
D. Slaughter
Keyword(s):  
Nitrate Content ◽  
Soil Nitrate ◽  
Mid Infrared

scholarly journals Estimation of soil nitrate in the spring as a basis for adjustment of nitrogen fertiliser rates

2000 ◽  
Vol 9 (1) ◽  
pp. 71-77 ◽  
Author(s):  
J. SIPPOLA
Keyword(s):  
Root Zone ◽  
Nitrate Concentration ◽  
Small Deviation ◽  
Coefficient Of Determination ◽  
Nitrate Content ◽  
Maximum Deviation ◽  
Soil Nitrate ◽  
Mean Values ◽  
Nitrogen Fertiliser ◽  
The Mean

The performance of SOILN model, which simulates soil nitrogen dynamics, was evaluated in respect to its ability to predict nitrate content in soil in spring when growing barley. The data obtained in three year nitrogen fertiliser experiments on different soil types was used. Model was parametrised using the data of the first experimental year and validation results obtained in following years are presented. The results of the simulations of the springtime nitrate in the root zone showed a reasonably small deviation from the measured values. The coefficient of determination, R2 = 0.56 was significant. The regression equation was y = 4 + 0.66x where the constant term was not significantly different from zero and the slope deviated from zero. The mean value of measured nitrate in the root zone in spring was 16 kg/ha and that from the simulation was 15 kg/ha showing that the mean values were close to each other. The mean of deviations between measured and simulated values was 4 kg/ha and the maximum deviation 9 kg/ha. It is concluded that simulation estimated springtime soil nitrate concentration with reasonable confidence that further testing of estimating soil nitrate concentration in spring for adjustment of nitrogen fertilisation using SOILN model should be continued.;

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