scholarly journals Soil Temperature Patterns During the First Sugarcane Growth Stages Under a Different Crop Management in the Cauca River Valley, Colombia

2020 ◽  
Vol 12 (10) ◽  
pp. 225
Author(s):  
Andrés Javier Peña Quiñones ◽  
Christian José Mendoza Castiblanco
Keyword(s):  
Soil Temperature ◽  
Air Temperature ◽  
Crop Management ◽  
Soil Condition ◽  
Bare Soil ◽  
Waste Utilization ◽  
River Valley ◽  
Growth Stages ◽  
Income Source ◽  
Management Scenario

For several years, the Colombian sugarcane industry had sugar and ethanol as its primary products. However, during the last years, sugar mills opened a new market based on products before considered waste. This new market offers a new possibility for harvest-waste utilization. However, if the waste becomes an income source, crop management will change. Collecting sugarcane waste for its utilization in making some other products, would mean a new crop management scenario left the soil bare soil during the first stages of planting and ratoon canes. We simulated a bare soil condition using mesocosms, for the three most representative soil textures of the Cauca river valley, and we measured soil temperature at different depths during the most convenient planting season (March-April). Results demonstrated differences in soil temperature patterns, especially in sandy soils, which tend to have higher thermal amplitudes in all layers. The parameters of linear regressions that relate temperature of layers, including air temperature, give information related to the thermal properties of soils, and therefore, it is possible, under Cauca Valley conditions, in the future to infer soil temperature from air temperature.

scholarly journals Influence of meteorological parameters on wheat yield under different sowing conditions

MAUSAM ◽  
2022 ◽  
Vol 73 (1) ◽  
pp. 161-172
Author(s):  
ANANTA VASHISTH ◽  
DEBASISH ROY ◽  
AVINASH GOYAL ◽  
P. KRISHNAN
Keyword(s):  
Relative Humidity ◽  
Soil Temperature ◽  
Air Temperature ◽  
Field Experiments ◽  
Wheat Yield ◽  
Weather Condition ◽  
Grain Filling ◽  
Crop Growth ◽  
Leaf Water ◽  
Growth Stages

Field experiments were conducted on the research farm of IARI, New Delhi during Rabi 2016-17 and 2017-18. Three varieties of wheat (PBW-723, HD-2967 and HD-3086) were sown on three different dates for generating different weather condition during various phenological stages of crop. Results showed that during early crop growth stages soil moisture had higher value and soil temperature had lower value and with progress of crop growth stage, the moisture in the upper layer decreased and soil temperature increased significantly as compared to the bottom layers. During tillering and jointing stage, air temperature within canopy was more and relative humidity was less while during flowering and grain filling stage, air temperature within canopy was less and relative humidity was more in timely sown crop as compared to late and very late sown crop. Radiation use efficiency and relative leaf water content had significantly higher value while leaf water potential had lower value in timely sown crop followed by late and very late sown crop. Yield had higher value in HD-3086 followed by HD-2967 and PBW-723 in all weather conditions. Canopy air temperature difference had positive value in very late sown crop particularly during flowering and grain-filling stages. This reflects in the yield. Yield was more in timely sown crop as compared to late and very late sown crop.  

scholarly journals Local Air and Soil Temperature Modeling Using Himawari 8 Satellite Imagery

2018 ◽  
Vol 15 (2) ◽  
pp. 123
Author(s):  
Adhia Azhar Fauzan ◽  
Komariah Komariah ◽  
Sumani Sumani ◽  
Dwi Priyo Ariyanto ◽  
Tuban Wiyoso
Keyword(s):  
Soil Temperature ◽  
Satellite Imagery ◽  
Air Temperature ◽  
Statistical Tests ◽  
Pair Correlation ◽  
Satellite Image ◽  
Bare Soil ◽  
Central Java ◽  
Temperature Modeling ◽  
Soil Temperatures

Himawari 8 satellite image, which was launched in October 2014 and began the operational in July 2015, serves to identify and track the phenomenon of rapid changes in weather. The purpose of this research was to determine the model of local air and soil temperatures using Himawari 8 satellite image. Local air and soil temperatures information was collected from the Climatology Station of Semarang district, Central Java, Indonesia. Interpretation of the Himawari 8 satellite image was performed, as well as the statistical tests of correlation and regression, according to the sun's pseudo motion. Pair correlation and regression analysis on satellite image with air temperature; and air temperature with soil temperature (bare and grass). The results showed the satellite imagery of Himawari 8 could predict the air and soil temperatures, especially bare soil. In specific, the accuracies were higher on soil temperature at 0 (surface) and 5 cm depth. But each period produced vary accuracy, due to many weather elements had may affect the air and soil temperatures.

scholarly journals RELATION OF SOIL TEMPERATURE WITH AIR TEMPERATURE AT THE JURASSIC RIVER VALLEY

2017 ◽  
Vol 18 (1) ◽  
pp. 18-26 ◽  
Author(s):  
Barbara Skowera ◽  
Jakub Wojkowski
Keyword(s):  
Soil Temperature ◽  
Air Temperature ◽  
River Valley

Mow-kill Regulation of Winter Cereals for Spring No-till Crop Production

1996 ◽  
Vol 10 (2) ◽  
pp. 247-252 ◽  
Author(s):  
Erik D. Wilkins ◽  
Robin R. Bellinder
Keyword(s):  
Soil Temperature ◽  
Crop Production ◽  
Dry Matter ◽  
Field Studies ◽  
Bare Soil ◽  
Growth Stages ◽  
Winter Cereals ◽  
No Till ◽  
Soil Temperatures ◽  
Different Growth Stages

Field studies determined the influence of developmental stage on mow-killing of winter wheat and rye. Both crops were clipped at either three or four different growth stages in 1992 and 1993. When mowed at first node, wheat biomass was 4350 and 1970 kg/ha in 1992 and 1993, respectively. At this stage, primary tiller apices were below 10 cm and regrowth was vigorous. Mowing prior to 75% heading consistently yielded more than 1000 kg/ha regrowth 8 wk later. Wheat cut after flowering produced 15 460 and 9160 kg/ha dry matter in 1992 and 1993, respectively, but less than 30 kg/ha total regrowth. At first and second node, rye produced 4440 and 1800 kg/ha biomass in 1992 and 1993. When mowed belore boot, more than 50% of the total rye biomass was due to regrowth. Rye mowed at boot yielded 6940 and 3740 kg/ha in 1992 and 1993 respectively, and regrowth measured 780 and 910 kg/ha 8 wk later. Mowing after flowering resulted in no measurable regrowth. Soil temperature and PAR were affected by mow-kill date and biomass. Biomass at first mowings (first and second node) in both wheat and rye reduced seasonal soil temperatures 3.5 C compared to bare soil temperatures; while biomass at kernal-filling lowered temperatures 6.0 C. Measured 8 wk after mowing, first node mowings absorbed between 55% and 70% PAR, while plants mowed at kernal-filling absorbed less than 5%.

scholarly journals DIFFERENTIAL RESPONSE OF SEVERAL ROW COVERS ON YIELD OF WHITE POTATOES IN MISSOURI

HortScience ◽  
1990 ◽  
Vol 25 (8) ◽  
pp. 860e-860
Author(s):  
Mack A. Wilson ◽  
Michael Aide
Keyword(s):  
Soil Temperature ◽  
Plant Height ◽  
Air Temperature ◽  
Sandy Loam ◽  
Bare Soil ◽  
Differential Response ◽  
Potato Plants ◽  
Row Covers ◽  
The Mean

Four types of row covers were evaluated on 'Norchip' and 'Atlantis' potatoes at Charleston, Missouri on a Lilbourn sandy loam entisol. Row covers used were spun-bonded polyester, insolar slitted, clear slitted and VisPore. The row covers increased the mean afternoon soil temperature above the ambient afternoon air temperature from 3 to 25°F when potato plants were covered. The number of plants which emerged were significantly different among treatment for the cultivar 'Norchip'. Data for plant height was significantly different between the bare soil control and the row cover treatments. Yield (Kg/HA) were higher with the spunbonded polyester and insolar slitted row covers for both number and weight of grade A (47.6-82.6 mm) potatoes, and results were significantly different.

scholarly journals Seasonal Changes in Soil and Air Temperature at Three Locations in Puerto Rico, 1963-67

1969 ◽  
Vol 56 (3) ◽  
pp. 307-317 ◽  
Author(s):  
M. A. Lugo-López ◽  
Modesto Capiel
Keyword(s):  
Soil Moisture ◽  
Soil Temperature ◽  
Air Temperature ◽  
Soil Cover ◽  
Bare Soil ◽  
Soil Conditions ◽  
Adequate Explanation ◽  
The North ◽  
Air Temperatures ◽  
Soil Temperatures

Soil temperature data at Río Piedras in the north, Lajas in the southwest, and Fortuna in the south, are given in this paper for the 5-year period 1963- 67. Seasonal variations in soil and air temperatures follow distinct patterns somewhat, depending on the nature of the soil cover and rainfall. Mean maximum and minimum temperatures at the 2-inch depth, respectively, are: Río Piedras, 96.2° F. and 79.6° F.; Lajas, 102.1° F. and 69.0° F.; and Fortuna, 93.2° F. and 79.1° F. The corresponding soil temperatures at the 8-inch depth, respectively, are: Río Piedras, 80.5° F. and 77.4° F.; Lajas, 83.4° F. and 77.8° F.; and Fortuna, 85.7° F. and 82.7° F. The differences and trends of soil temperature at 2-inch and 8-inch depths can find adequate explanation when soil moisture and soil cover are considered. However, the differences between maximum and minimum soil temperatures at 8 inches of depth are roughly one fifth of the corresponding ones at the 2-inch depth. The maximum and minimum air temperature at Lajas, Fortuna and Río Piedras are much more similar to each other than the corresponding soil temperature, especially at the 2-inch depth. This is mainly because air temperature is rather measured on a macro and integrating scale while soil temperature measurements exhibit localized effects of soil cover and soil moisture. It was found that highly significant 2-inch soil-air temperature relationships are evident under bare soil conditions. The same relationships were not significant under sod cover at Fortuna.

scholarly journals Photoselective Nets Alter Apple Canopy Air Temperature and Carbon Translocation during Dormancy and Budbreak

HortScience ◽  
2021 ◽  
pp. 1-9
Author(s):  
Alexandra Boini ◽  
Enrico Muzzi ◽  
Aude Tixier ◽  
Maciej Zwieniecki ◽  
Luigi Manfrini ◽  
...  
Keyword(s):  
Soil Temperature ◽  
Air Temperature ◽  
Crop Management ◽  
Seasonal Patterns ◽  
Light Spectra ◽  
Controlled Conditions ◽  
Carbon Translocation ◽  
Bud Phenology ◽  
Commercial Applications ◽  
Apple Shoot

Photoselective nets were used to examine apple shoot physiology during dormancy and budbreak. Two trials were conducted: one in the field and one in controlled conditions. In the first, three colored nets (red, blue, and white, shading 20%) covered sections of single trees, leaving an empty portion as control, from December to April. The white net increased canopy air temperature compared with the blue one. Differences were found in carbohydrate seasonal patterns; however, it appeared that soil temperature had higher impacts on sugar movement in the trees. No differences were found in bud phenology. In the second trial, cuttings were placed in boxes constructed with the same-colored nets and monitored from the end of February to April. Results showed differences in phenology and carbohydrate translocation. The white box hastened bloom and its cuttings had higher amounts of carbohydrates at the end of the trial. On the contrary, the blue box delayed bloom while resources were still being consumed and its cuttings had the lowest amounts of reserves at the end of the trial. These results add new insights on apple physiology under different light spectra and commercial applications should not be excluded for improving crop management.

Modeling soil temperature using air temperature features in diverse climatic conditions with complementary machine learning models

2021 ◽  
Vol 185 ◽  
pp. 106158
Author(s):  
Maryam Bayatvarkeshi ◽  
Suraj Kumar Bhagat ◽  
Kourosh Mohammadi ◽  
Ozgur Kisi ◽  
M. Farahani ◽  
...  
Keyword(s):  
Machine Learning ◽  
Soil Temperature ◽  
Air Temperature ◽  
Climatic Conditions ◽  
Learning Models ◽  
Machine Learning Models

Interval of days required for determining efficient relations between climatic factors and cotton flower and boll production

2002 ◽  
Vol 82 (3) ◽  
pp. 499-506 ◽  
Author(s):  
Zakaria M Sawan ◽  
Louis I Hanna ◽  
Willis L McCuistion
Keyword(s):  
Soil Temperature ◽  
Air Temperature ◽  
Surface Soil ◽  
Cultural Practices ◽  
Agricultural Research ◽  
Climatic Factors ◽  
Sunshine Duration ◽  
Field Trials ◽  
Cotton Production ◽  
Surface Soil Temperature

The cotton plant (Gossypium spp.) is sensitive to numerous environmental factors. This study was aimed at predicting effects of climatic factors grouped into convenient intervals (in days) on cotton flower and boll production compared with daily observations. Two uniformity field trials using the cotton (G. barbadense L.) cv. Giza 75 were conducted in 1992 and 1993 at the Agricultural Research Center, Giza, Egypt. Randomly chosen plants were used to record daily numbers of flowers and bolls during the reproductive stage (60 days). During this period, daily air temperature, temperature magnitude, evaporation, surface soil temperature, sunshine duration, humidity, and wind speed were recorded. Data, grouped into intervals of 2, 3, 4, 5, 6, and 10 d, were correlated with cotton production variables using regression analysis. Evaporation was found to be the most important climatic variable affecting flower and boll production, followed by humidity and sunshine duration. The least important variables were surface soil temperature at 0600 and minimum air temperature. The 5-d interval was found to provide the best correlation with yield parameters. Applying appropriate cultural practices that minimize the deleterious effects of evaporation and humidity could lead to an important improvement in cotton yield in Egypt. Key words: Cotton, flower production, boll production, boll retention

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