scholarly journals Calibration of Nitrogen Content of Soil with Sweet Corn

2006 ◽  
Vol 55 (1) ◽  
pp. 223-230
Author(s):  
István Buzás ◽  
E. Hoyk ◽  
I. Cserni ◽  
J. Bors-Pető
Keyword(s):  
Nitrogen Content ◽  
Dry Matter ◽  
Sweet Corn ◽  
Nitrate Nitrogen ◽  
Nitrogen Concentration ◽  
Soil Layer ◽  
Nitrogen Supply ◽  
Corn Yield ◽  
Beet Root ◽  
Matter Production

It was found that quantitative and qualitative indices of the sweet corn yield correlate with the nitrate nitrogen content of the upper soil layer (0-30 cm). As no correlation was established between the nitrate nitrogen content of the lower layers and the sweet corn, the conclusion was drawn that the quantity of sweet corn yield is determined even before its roots reach deeper down than 30 cm and the nitrogen content of the lower layers could affect the sweet corn.  Depending on the NO 3 -N content of the soil before fertilization the maximal corn ear mass achievable with fertilization may vary. In the study the same yield could not be accomplished in the case of the lowest soil nitrogen concentration (2.9 mg NO 3 -N/kg) with the highest fertilizer rate (200 kg N/ha) - but probably irrespective of any amount of fertilizer - as on the soil of 4.6 mg NO 3 -N/kg. In the case of the poorly supplied soil the fertilization curve becomes flat sooner or turns negative. The phenomenon that, regarding various soils, the maximal yield achievable on soils with good production features with fertilization is higher than in the case of soils having worse features, is well-known. That this fact is also valid in the case of the same soils was expected after calibration experiments carried out with winter oilseed rape and beet root, but it has not been proven for sweet corn as yet.  The results also showed that the grain dry matter production of sweet corn per hectare can still be enhanced with the increase in the soil's nitrogen supply, even if the corn ear does not grow.  The presented calibration curves show - in the range of 2.9-4.6 mg NO 3 -N/kg soil - how much corn ear and grain dry matter produce are expected on soils with differing nitrogen supply, distributing 0-200 kg nitrogen fertilizer in spring.

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.

EFFECT OF DATES OF CUTTING ON DRY MATTER PRODUCTION AND CHEMICAL CONTENT OF ALFALFA AND BIRDSFOOT TREFOIL

1969 ◽  
Vol 49 (3) ◽  
pp. 339-349 ◽  
Author(s):  
H. Gasser ◽  
L. Lachance ◽  
P. Gervais
Keyword(s):  
Nitrogen Content ◽  
Protein Content ◽  
Dry Matter ◽  
The Other ◽  
Dry Matter Production ◽  
Birdsfoot Trefoil ◽  
Dry Matter Yield ◽  
Matter Production ◽  
Chemical Content

In two experiments, one with alfalfa and the other with birdsfoot trefoil, we have been able to show that a late cut in October does not adversely affect dry matter yield (DAI) of the legumes. Three cuts during a harvesting season ending on September 5 were detrimental to alfalfa, since lower yields were obtained the following year of harvest. Birdsfoot trefoil varieties were affected differentially. Three cuts did not affect the yield of Viking the following year, but did so of Empire. Significant differences in dry matter yields were obtained between DuPuits and Vernal and between Viking and Empire. Protein in the forage followed inversely the same pattern as that of DM yields, that is, where the intervals were shortest, the protein content was highest, and conversely. The total available carbohydrate and the nitrogen content of the roots were lowest following the treatments which had the shortest intervals between them.

Stem nitrate nitrogen and yield of wheat in a permanent rotation experiment

1983 ◽  
Vol 34 (6) ◽  
pp. 599 ◽  
Author(s):  
I Papastylianou ◽  
DW Puckridge
Keyword(s):  
Environmental Conditions ◽  
Nitrate Nitrogen ◽  
Agricultural Research ◽  
Nitrogen Concentration ◽  
Nitrogen Supply ◽  
Agricultural Research Institute ◽  
Pests And Diseases ◽  
Waite Agricultural Research Institute ◽  
Permanent Rotation

The growth of wheat on the permanent rotation experiment at the Waite Agricultural Research Institute was examined over two seasons. Measurements of stem nitrate nitrogen concentration were used to assess the effect of nitrogen on yield for treatments which can also affect the availability of water and the severity of pests and diseases. High nitrate nitrogen was positively correlated with yield in a wet year, but its importance changed between years and was determined by rotation and environmental conditions. On average the sequence oats-oats for grazing-fallow-wheat had the highest nitrate nitrogen and the highest long-term mean yield, even though it had no apparent nitrogen input. Rotations which included grass-clover phases can be more severely infested by pests and diseases, and the wheat less able to respond to favourable nitrogen supply than rotations which included fallow or a non-host crop.

scholarly journals Dry-matter and Nitrogen Yields of Legumes Interseeded into Sweet Corn

HortScience ◽  
1996 ◽  
Vol 31 (2) ◽  
pp. 206-208 ◽  
Author(s):  
Steven J. Guldan ◽  
Charles A. Martin ◽  
Jose Cueto-Wong ◽  
Robert L. Steiner
Keyword(s):  
Dry Matter ◽  
Lens Culinaris ◽  
Trifolium Pratense ◽  
Sweet Corn ◽  
Red Clover ◽  
Corn Yield ◽  
Hairy Vetch ◽  
Vicia Villosa ◽  
Barrel Medic ◽  
Nitrogen Yields

Five legumes [hairy vetch (Vicia villosa Roth.), barrel medic (Medicago truncatula Gaerth.), alfalfa (Medicago sativa L.), black lentil (Lens culinaris Medik.), and red clover (Trifolium pratense L.)] were interseeded into sweet corn (Zea mays L.) at last cultivation when sweet corn was at about the V9 (early) or blister (late) stage. The effect of legume interseeding on sweet corn yield, and late-season dry-matter and N yields of aboveground portions of the legumes was determined. Sweet corn yield was not affected by legume interseeding. In 1993, legume dry-matter yields were 1420 kg·ha–1 interseeded early and 852 kg·ha–1 interseeded late. Nitrogen yields were 49 kg·ha–1 interseeded early and 33 kg·ha–1 interseeded late. In 1994, dry-matter yields were 2760 kg·ha–1 interseeded early and 1600 kg·ha–1 interseeded late. Nitrogen yields were 83 kg·ha–1 interseeded early and 50 kg·ha–1 interseeded late. In 1993, barrel medic was the highest-yielding legume with dry matter at 2420 kg·ha–1 and N at 72 kg·ha–1 interseeded early, while red clover yielded the lowest with dry matter at 340 kg·ha–1 and N at 12 kg·ha–1 interseeded late. In 1994, dry-matter and N yields ranged from 4500 and 131 kg·ha–1, respectively, for early interseeded barrel medic to 594 kg·ha–1 and 16 kg·ha–1, respectively, for late interseeded red clover.

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%.

scholarly journals Nitrogen fertilization in banana grown on a highly weathered soil of the humid mountain region of Puerto Rico.

1969 ◽  
Vol 86 (1-2) ◽  
pp. 15-26
Author(s):  
Héber Irizarry ◽  
Ricardo Goenaga ◽  
Ulises Chardón
Keyword(s):  
Total Nitrogen ◽  
Nitrogen Uptake ◽  
Dry Matter ◽  
Nitrogen Concentration ◽  
Maximum Yield ◽  
Leaf Nitrogen ◽  
Dry Matter Production ◽  
Nitrogen Rate ◽  
Matter Production ◽  
Nitrogen Rates

A 40-month experiment was conducted to re-evaluate the nitrogen fertilization recommendation for banana grown on a clayey, mixed isohyperthermic Aquic Haplohumults under rainfed conditions. Five nitrogen rates (0, 85,170, 255 and 340 kg/ha/crop) were arranged in a randomized compíete block design with three replications. The nitrogen treatments were applied with 24.4 kg/ha of phosphorus, 651,7 kg/ha of potassium, and a minor element mixture containing 22.7 kg/t of fertilizer. Treatments were applied every three months. Applications of magnesium alone were also applied between treatments at the rate of 55 kg/ha in the plant crop (PC) and 110 kg/ha in each of two ratoon crops (R1, R2). During growth and development of three crops we collected data of plant and bunch traits, green and oven-dry biomass weight, nitrogen concentration in various plant organs, and bunch marketable weight at harvest. Results showed that the rate x crop interaction was highly significant (P < 0,01) for total nitrogen uptake, and for nitrogen concentration in the leaf-lamina four months before bunch harvest, and significant (P < 0.05) for total dry matter production. Total nitrogen uptake, leaf nitrogen concentration, and total dry matter production linearly increased with increments in the nitrogen rates. Overall total nitrogen uptake and total dry matter production were always significantly higher in the R2 than in the PC, Regardless of the nitrogen rate, a significantly higher nutrient concentration was always found in the leaf-lamina of the R1 plants than in either the PC or the R2 plants. Crop had no significant effect on yield, but nitrogen rate significantly influenced yield. A maximum yield of 57,060 kg/ ha/crop was obtained with an estimated nitrogen application of 240 kg/ha. This amount corresponded to a leaf nitrogen concentration of between 2.75 and 2.85 g/kg. Since the maximum yield for all crops was obtained with a nitrogen application of only 240 kg/ha, we concluded that the linear response to fertilization in excess of this amount for total nitrogen uptake, nutrient concentration, and total dry matter production may be attributed to luxury consumption of nitrogen.

scholarly journals Leek hybrid yield potentional and relation on adaptation to light interception under nitrogen supply

Genetika ◽  
2012 ◽  
Vol 44 (3) ◽  
pp. 549-559
Author(s):  
Dubravka Savic
Keyword(s):  
Nitrogen Uptake ◽  
Dry Matter ◽  
Nitrogen Nutrition ◽  
Nitrogen Concentration ◽  
Crop Productivity ◽  
Light Interception ◽  
Nitrogen Supply ◽  
Allium Porrum ◽  
Total Nitrogen Concentration ◽  
Nitrogen Demand

We have studied the effect of nitrogen supply on growth as well as relation on adaptation to light interception of leek (Allium porrum L.,) hybrid Alita, genotype of known genetic background. During the vegetative and generative plant growth phases, besides genetic potential many factors affect their productivity. The aim was to investigate genome expression dependent on nitrogen nutrition and light interception. Nitrogen in correlation with light availability has important effect on the growth of plants and the formation of leaf area, what it is necessary for yield of dry matter. Investigation has been done in open field grown leek commercial hybrid Alita (Allium porrum L.,) to consider the way of its genotype response to correlation of light interception and nitrogen nutrition. Investigated traits are leek crop productivity, light interception and chemical analyses of plants. Leek crop productivity was determined through the dry matter production, leaf area development and light interception. Analyses of leek plants comprehended chemical determination and calculation of total nitrogen concentration, nitrogen critical concentration in dry matter, nitrogen demand and, nitrogen uptake in leek crop. Correlation among investigated parameters was assigned to comprehensive hypothetical model of growth and productivity of leek crop grown at open field.It was shown that for nitrogen uptake (Nu), nitrogen demand (ND) and total nitrogen concentration (Nt) parameters variants of mineral nutrition plays significant role (pNu=0.002; pND=0.045; pNt=0.011). Obtained results indicated that correlation of nitrogen and light interception could be used as criteria in plant breeding.

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