Effect of foliar application of indoleacetic acid on the total glycoalkaloids and nitrate nitrogen content of potatoes

1986 ◽  
Vol 34 (4) ◽  
pp. 686-688 ◽  
Author(s):  
Rathy Ponnampalam ◽  
Nell I. Mondy
Keyword(s):  
Nitrogen Content ◽  
Indoleacetic Acid ◽  
Nitrate Nitrogen ◽  
Foliar Application ◽  
Total Glycoalkaloids

Quantitative trait loci analysis of nitrate-nitrogen content in Italian ryegrass (Lolium multiflorum Lam.)

Euphytica ◽  
2021 ◽  
Vol 217 (1) ◽  
Author(s):  
Wenqing Tan ◽  
Di Zhang ◽  
Nana Yuyama ◽  
Jun Chen ◽  
Shinichi Sugita ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Nitrogen Content ◽  
Quantitative Trait ◽  
Nitrate Nitrogen ◽  
Lolium Multiflorum ◽  
Italian Ryegrass ◽  
Trait Loci

scholarly journals Estimation of the Effect of Soil Texture on Nitrate-Nitrogen Content in Groundwater Using Optical Remote Sensing

2011 ◽  
Vol 8 (8) ◽  
pp. 3416-3436 ◽  
Author(s):  
Yongyoot Witheetrirong ◽  
Nitin Kumar Tripathi ◽  
Taravudh Tipdecho ◽  
Preeda Parkpian
Keyword(s):  
Remote Sensing ◽  
Nitrogen Content ◽  
Soil Texture ◽  
Nitrate Nitrogen ◽  
Optical Remote Sensing

The effects of ammonium and nitrate nitrogen on the growth of perennial rye grass

1936 ◽  
Vol 26 (2) ◽  
pp. 249-257 ◽  
Author(s):  
A. H. Lewis
Keyword(s):  
Nitrogen Content ◽  
Nitrate Nitrogen ◽  
Ammonium Nitrogen ◽  
Early Stages ◽  
Rye Grass

The results show clearly a more rapid and greater uptake of ammonium than of nitrate nitrogen by perennial rye grass grown in a sand-bentonite medium of pH 7·61. The extent to which the extra uptake with added ammonia was reflected in increased yields was dependent upon the age of the grass.Except in the very early stages the percentage nitrogen content of the herbage was higher where nitrate nitrogen was applied than where ammonium nitrogen was applied. This indicates that any nitrate absorbed by the plant was less, efficient in increasing yields than was ammonium nitrogen.The percentage P205 content of the grass was higher where the nitrogen was applied in the ammoniacal form than where it was applied as nitrate, and it appears that this greater P205 uptake with ammonium nitrogen resulted in increased growth.

The Effect of Human Activity on the Distribution of Soil Nitrate Nitrogen in Unsaturated Zone

2013 ◽  
Vol 790 ◽  
pp. 202-205
Author(s):  
Hui Yan Gao ◽  
Lu Hua Yang ◽  
Tian Li ◽  
Zi Peng Guo
Keyword(s):  
Soil Moisture ◽  
Nitrogen Content ◽  
Human Activity ◽  
Soil Profile ◽  
Nitrate Nitrogen ◽  
Root Zone ◽  
Deep Layer ◽  
Soil Layer ◽  
Growth Period ◽  
Soil Nitrate

Soil moisture and nitrate nitrogen were measured respectively in planting area and non-planting area in RANZHUANG experiment station from 2011 to 2012. The effect of human activity on soil moisture and nitrate nitrogen was analyzed. The results show that soil moisture content varies from 8.61% to 30.09% within 0~250cm depth and is tended to be stable below 250cm deep layer in non-planting area. The distribution of soil nitrate nitrogen is a single peak curve, the peak moves downward at a speed of 0.81cm/d in percolation of rainfall. Soil moisture varies form 21.23% to 41.67% within 0~400cm depth and is tended to be stable below 400cm deep layer in planting area. Nitrate nitrogen is mainly accumulated at 0~100cm deep soil layer in the wheat growth period. In the maize growth period, the distribution of nitrate nitrogen is double peak curve in 0~500cm soil profile. The upper peak occurs at 40~100cm soil layer, the peak of nitrate nitrogen content is between 26.7~54.6mg/kg; the lower emerges at 150~260cm soil profile, the value is between 36.7~106.36mg/kg. Deep percolation of the nitrate nitrogen is obvious due to unreasonable irrigation and fertilization. The nitrate nitrogen content accounts for 52.3% of the total nitrate nitrogen below the root zone soil, which is a potential contamination source of groundwater.

Study on the Effects of Nitrogen Pollution to the Soil and Groundwater

2013 ◽  
Vol 437 ◽  
pp. 1019-1022 ◽  
Author(s):  
Xiao Hui Lu ◽  
Yang Wang
Keyword(s):  
Nitrogen Content ◽  
Nitrate Nitrogen ◽  
Flow Direction ◽  
Ammonium Nitrogen ◽  
Nitrogen Pollution ◽  
Monitoring Point ◽  
River Bank ◽  
The North ◽  
Geological Conditions ◽  
Nitrite Nitrate

Xuzhou city lies on the north of Jiangsu province, which geological conditions are complex, water resources are deficient and environment is vulnerable. At present, water pollution in Kui river area is very serious; Kui River nitrogen pollution had affected Coastal soil and chemical environment of groundwater. The monitoring sections are elected in the seriously polluted river, and downstream at the banks of river decorates with six monitoring sections. Each section from the river bank of 50m, 100m, 200m, 500m, 1000m, 1500m is arranged of monitoring points respectively, and each monitoring point is monitored for sampling test at different depths. The monitoring results of surface water showed that the content of ammonia-nitrite-nitrate was a decreasing trend along the flow direction. The nitrate nitrogen content would decrease further in December while the ammonium nitrogen content was on the rise, showing that the supplement of nitrogen pollution resources was still insufficient when the denitrification was stronger. The content of ammonium and nitrate nitrogen in soil was higher, and had some regular change features with the change of depth.

scholarly journals Long-term Dynamics of Ammonia Nitrogen Content and Runoff in the muddle Amur Water

2015 ◽  
pp. 33-41
Author(s):  
Keyword(s):  
Nitrogen Content ◽  
River Runoff ◽  
Nitrate Nitrogen ◽  
Ammonia Nitrogen ◽  
Songhua River ◽  
Runoff Changes ◽  
The Songhua River

The long-term dynamic of the content and runoff of ammonia nitrogen in the water of the Middle Amur are discussed. There are decreasing of ammonia runoff in 1.4 times in comparison with 1981-2000, and dominance of nitrate nitrogen in runoff of mineral forms in recent years. Trends in runoff changes are due to transformation on the watershed. At present anthropogenic components of runoff is formed by the Songhua River runoff and is more pronounced in the wintertime.

scholarly journals Observations on the effect of organic materila upon aggregation and nitrate-nitrogen content of soil

1952 ◽  
Vol 24 (3) ◽  
pp. 127-134
Author(s):  
Armi Kaila ◽  
Pertti Kivinen
Keyword(s):  
Nitrogen Content ◽  
Soil Nitrogen ◽  
Nitrate Nitrogen ◽  
Soil Samples ◽  
Mineral Nitrogen ◽  
Aggregation State ◽  
Water Stable Aggregates ◽  
Mineral Soils ◽  
Simultaneous Immobilization ◽  
Properties Of Soil

In the experiments reported above the effect of organic material upon the aggregation of soil particles and the simultaneous immobilization of mineral nitrogen by microorganisms were studied. The relative amount of water-stable aggregates larger than 0.5 mm in diameter was considered to indicate the aggregation state of the soil samples. Probably, somewhat different results were obtained if the crumb formation had been determined by some other method, but it is not sure that these would have been more reliable. Since the incubation of soil samples were performed under aerobic conditions, and all the samples were mineral soils, it seemed justifiable to take the nitrate-nitrogen content of the soil samples to characterize the amount of mineral nitrogen in them. On the basis of the results the general conclusion may be drawn that the more favourable the conditions are for the development of an active and large microflora in the soil, the more intensively the crumb formation and the immobilization of nitrogen takes place, but also the destruction of aggregates begins the more rapidlv. This appeared to be true with regard to the indigenous fertility of soil as well as to the fertilization. Liming, however, did not improve the conditions in these experiment, probably due to the rather slight acidity of the soil samples used. Under otherwise similar conditions the larger amount of straw produced larger amount of aggregates, but the differences in the nitrate-nitrogen content of soil in the presence of various amounts of straw were neglibigle. Generally, the degree of immobilization of soil nitrogen seemed largely to depend on the properties of soil and on other environmental conditions, and nitrogen applications, theoretically enough for the needs of microorganisms that decomposed the straw, could not always prevent an intensive absorption of soil nitrogen. The crumb formation appeared to need mere energy-yielding material than the immobilization of nitrogen, or the destruction of crumbs occurred more rapidly than the nitrification of microbiologically bound nitrogen.

scholarly journals Nitrate Nitrogen Content of Brown Rice by Lowland, Upland and Upland Polyethylene Film Mulching Cultures

1977 ◽  
Vol 46 (4) ◽  
pp. 510-515
Author(s):  
Hirokadzu TAIRA ◽  
Harue TAIRA ◽  
Fumio FURUSAWA
Keyword(s):  
Nitrogen Content ◽  
Nitrate Nitrogen ◽  
Brown Rice ◽  
Polyethylene Film ◽  
Film Mulching

scholarly journals Prediction of nitrate nitrogen content in soil using machine learning

2021 ◽  
Vol 51 (5) ◽  
pp. 91-100
Author(s):  
V. K. Kalichkin ◽  
T. A. Luzhnykh ◽  
V. S. Riksen ◽  
N. V. Vasilyeva ◽  
V. A. Shpak
Keyword(s):  
Logistic Regression ◽  
Nitrogen Content ◽  
Nitrate Nitrogen ◽  
Soil Layer ◽  
Weather Conditions ◽  
Coefficient Of Determination ◽  
Posteriori Probability ◽  
Forest Steppe ◽  
Trust Network ◽  
A Posteriori Probability

The possibilities and feasibility of using the Bayesian network of trust and logistic regression to predict the content of nitrate nitrogen in the 0-40 cm soil layer before sowing have been investigated. Data from long-term multifactor field experience at the Siberian Research Institute of Farming and Agricultural Chemization of SFSCA RAS for 2013-2018 were used to train the models. The experiment was established on leached chernozem in the central forest-steppe subzone in 1981 in the Novosibirsk region. Considering the characteristics of the statistical sample (observation and analysis data), the main predictors of the models affecting nitrate nitrogen content in soil were identified. The Bayesian trust network is constructed as an acyclic graph, in which the main (basic) nodes and their relationships are denoted. Network nodes are represented by qualitative and quantitative plot parameters (soil subtype, forecrop, tillage, weather conditions) with corresponding gradations (events). The network assigns a posteriori probability of events for the target node (nitrate-nitrogen content in the 0-40 cm soil layer) as a result of experts completing the conditional probability table, taking into account the analysis of empirical data. Two scenarios were analyzed to test the sustainability of the network and satisfactory results were obtained. The result of the logistic regression is the coefficients characterizing the closeness of the relationship between the dependent variable and the predictors. The coefficient of determination of the logistic regression is 0.7. This indicates that the quality of the model can be considered acceptable for forecasting. A comparative assessment of the predictive capabilities of the trained models is given. The overall proportion of correct predictions for the Bayesian confidence network is 84%, for logistic regression it is 87%.

Influence of growing various crops in five different fixed rotations on the changes in nitrate and total nitrogen content of soils

1985 ◽  
Vol 104 (3) ◽  
pp. 609-613 ◽  
Author(s):  
K. N. Sharma ◽  
A. L. Bhandari ◽  
M. L. Kapur ◽  
D. S. Rana
Keyword(s):  
Nitrogen Content ◽  
Total Nitrogen ◽  
Soil Nitrogen ◽  
Nitrate Nitrogen ◽  
Balance Sheet ◽  
Total Nitrogen Content ◽  
Soil N ◽  
Total N ◽  
Soil Layers ◽  
Total Soil N

SummaryThe results on the influence of various crops in five different fixed rotations on the ohanges in nitrate and total N content of soils are reported. Groundnut contributed largely to the accumulation of nitrate nitrogen in the soil profile (to a depth of 120 cm). Bajra fodder exhausted the soil nitrogen reserve to a great extent. Wheat and maize, in a rotation, reduced nitrate leaching to deeper soil layers. Summer moong also left a large amount of unabsorbed nitrate in the profile. Total nitrogen content of the soil decreased after the harvest of cereals. Maximum depletion occurred after the harvest of bajra crop. Potato (a crop which received a heavy dressing of N fertilizer) and legumes contributed to the soil N reserve. A balance sheet of N indicated net gains of total soil N in four of the five cropping sequences. A net loss of 75 kg N/ha was observed in bajra fodder-potato-wheat rotation.

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