scholarly journals ​Correlation Analysis of Yield with Yield Attributing Characters and Soil Properties of Cajanus cajan (Arhar) in Silvi-horti-agri System

2021 ◽  
Author(s):  
Nanita Berry ◽  
Akash Shukla ◽  
Sourabh Dubey ◽  
Nikita Rai ◽  
Pankaj Kumar
Keyword(s):  
Organic Carbon ◽  
Soil Properties ◽  
Nitrogen Content ◽  
Negative Correlation ◽  
Cajanus Cajan ◽  
Growth Parameters ◽  
Agroforestry System ◽  
Soil Parameters ◽  
Positive Correlation ◽  
Level Of Significance

Background: Pulses are the major source of protein and is widely used to fulfill protein requirement of the growing population. Perennial pigeon pea [Cajanus cajan (L.) Millsp.] is a predominant crop grown in kharif season, also known as Red gram, Arhar or Tur. The present study aimed to correlate yield of C. cajan with growth and soil properties under agroforestry system in Madhya Pradesh. Methods: An experiment was conducted to assess the yield of Cajanus cajan under agroforestry system at Tropical Forest Research Institute, Jabalpur during the year 2020-2021. In this study Cajanus cajan (Arhar) intercropped with Pterocarpus marsupium (Bijasal) and Psidium guajava (guava) under silvi-horti-agri system. During study period, growth parameters such as height, no. of pods and no. of branches of C. cajan were recorded and soil properties such as Soil pH, EC, Nitrogen, Phosphorus and Potassium were also estimated before sowing and at the time of harvesting of agriculture crop. Result: Study revealed that yield has highly significant positive correlation with an average plant height (0.4735), no. of pods/plant (0.2558) and no. of branches/plant (0.3765), another result shows that yield has highly significant correlation with organic carbon % (0.7966), nitrogen content of soil (0.3049), Potassium (0.3036), Phosphorus (0.6244) and has negative correlation with pH of soil (-0.9336) and EC (-0.8740) at 5% level of significance. Similarly, correlation of yield with soil parameters at the time of harvesting and the results revealed that the yield has positive correlation with organic carbon % (0.5277), nitrogen content of soil (0.1102), Potassium (0.2324), Phosphorus (0.7118) and has negative correlation with pH of soil (-0.4861) and EC (-0.3853) at 5% level of significance.

scholarly journals Investigation of soil properties and pesticide intensity in crop lands at Tangail region of Bangladesh

2022 ◽  
Vol 11 (2) ◽  
pp. 85-94
Author(s):  
TN Shila ◽  
MS Islam ◽  
MMM Hoque ◽  
MH Kabir ◽  
MR Jamil ◽  
...  
Keyword(s):  
Soil Properties ◽  
Negative Correlation ◽  
Agricultural Land ◽  
Available P ◽  
Available Phosphorus ◽  
Available N ◽  
Exchangeable K ◽  
Positive Correlation ◽  
Crop Land ◽  
Exchangeable Ca

The study was conducted to investigate the soil properties and pesticide intensity in rice, banana and brinjal growing agricultural land of Delduar and Sakhipur upazila of Tangail district during July 2019 to June 2020. Forty five soil samples were collected from different crop land at the study area and analyzed in the Soil Resource Development Institute to determine the soil properties as pH, total organic matter (OM), total nitrogen (N), available phosphorus (P), available sulfur (S), available zinc (Zn), exchangeable potassium (K), exchangeable magnesium (Mg) and exchangeable calcium (Ca). However, pesticide used intensity was also evaluated through questionnaire survey with farmers and stakeholders in the study area. Results showed that pH, OM, available N, exchangeable Ca and exchangeable Mg content were significantly higher in rice growing land than banana and brinjal. On the other hand, available P, exchangeable K and available Zn content were substantially higher in brinjal growing land than rice and banana. The OM showed significant positive correlation with soil pH, available N, available S, exchangeable Mg and exchangeable Ca (r=0.37, 0.99, 0.31, 0.59 and 0.63, respectively), indicated rice growing land built up these soil properties through increasing soil OM. The available P showed significant and positive correlation with K and Zn (r=0.55 and 0.74, respectively), but negative correlation with exchangeable Mg and exchangeable Ca (r=-0.53 and -0.32, respectively). The exchangeable K showed significant and positive correlation with available Zn (r=0.45) but negative correlation with exchangeable Mg (r=-0.37). The Mg showed significant negative correlation with available Zn (r=-0.45) but positive correlation with exchangeable Ca (r=0.87). Results also revealed that pesticide used intensity was higher in brinjal followed by banana and minimum in rice crop. Study suggests that farmers require up-to-date information on soil nutrient status so that they may use the proper utilization of fertilizers and avoid using excessive amounts of fertilizers and pesticides in their crop land. Int. J. Agril. Res. Innov. Tech. 11(2): 85-94, Dec 2021

Influence of altitudes of coffee plants on the alkaloids contents of green coffee beans

2019 ◽  
Author(s):  
Chem Int
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Soil Ph ◽  
Negative Correlation ◽  
Green Coffee ◽  
Positive Correlation ◽  
Green Coffee Beans ◽  
Coffee Beans ◽  
Weak Negative Correlation ◽  
Coffee Plants

The influence of altitude of coffee plant and soil pH and organic carbon on alkaloid contents of green coffee beans was evaluated. The alkaloids content of 54 green coffee beans samples collected from coffee plants in Sidama, Illubabor, Jimma, Wellega and Gedeo grown at different altitudes (1515-2220 masl) was determined by high performance liquid chromatography. The caffeine and trigonelline were found in the range of 0.68-1.74% (w/w) and 0.68-1.44% (w/w), respectively. Theobromine was detected in only 18 samples and ranged 0.0186-0.32% (w/w). Theophylline was not detected in any of the green coffee beans samples. A weak negative correlation (R = -0.222) was found between the caffeine contents and the altitude of the coffee plants while a very weak positive correlation (R = 0.072) was found between the trigonelline contents and the altitude of the coffee plants. A strong negative correlation (R = -0.775) was found between the trigonelline contents and the caffeine content. A weak negative correlation was found between the caffeine contents and the soil organic carbon (R = -0.279) and between the trigonelline contents and the soil organic carbon (R = -0.101) while a weak positive correlation was found between the caffeine contents and the soil pH (R = 0.173) and between the trigonelline contents and the soil pH (R = 0.358) at which the coffee plants were grown.

Geoinformation in support of sustainable soils’ management to strengthen resilience under the pressure of climate change

2021 ◽  
Author(s):  
Christina Lekka ◽  
George P. Petropoulos ◽  
Dimitrios Triantakonstantis ◽  
Spyros Detsikas ◽  
Christos Chalkias
Keyword(s):  
Climate Change ◽  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Soil Properties ◽  
Satellite Imagery ◽  
Anthropogenic Activities ◽  
Soil Salinization ◽  
Soil Parameters ◽  
Alkaline Soils ◽  
The Impact

<p><strong>Abstract</strong></p><p>The National Map of Saline – Alkaline Soils of Greece was recently developed within the initiative of the European Soil Partnership (ESP) of FAO. The technique combines between other MODIS satellite imagery, spatial interpolation methods and ground surveying to derive at 1 km spatial resolution maps of soil’s salinity (SS) and soil organic carbon (SOC).</p><p>The present study investigates for the first time the development of higher resolution maps of these soil properties adopting the aforementioned methodology. Furthermore, this study attempted to estimate the Carbon sequestration (SOC) using Remote Sensing and geostatistic methods of spatial analysis, a concern that is eminent today due to its effect on climate change mitigation.</p><p>As a case study the island of Mytilene in Greece is used, for which detailed information on soil properties as well as climatic, geomorphological, geological and soil data was available from previous studies. An MCDA (Multiple Criteria Decision Analysis) method was applied in a GIS environment using Landsat satellite imagery for the composition of a Saline - Alkaline map. Between the key soil parameters estimated spatially included the Electrical Conductivity (EC), Exchangeable Sodium Percentage (ESP) and pH. Geospatial data analysis methods were implemented to visualize all the derived parameters related for the study area and to analyze the final products in the spatial domain.</p><p>Finding suggests that climate change and soil directly affect one another. The impact of environmental and climate change in addition to unsustainable agricultural practices seems to be linked to salinity increase, soil erosion and loss of organic matter.  In addition, when land degradation as well as erosion and loss of vegetation occur, SOC emissions increase. Under these conditions, soil cannot absorb enough amounts of CO2, especially when soil salinization and sodicity exists; inputs are further limited due to declines in vegetation health. The role of geoinformation technologies in support of sustainable agricultural production under the pressure of both climate change and anthropogenic activities is also discussed within the present study framework.  </p><p><strong>KEYWORDS:</strong> geoinformation, soil, pH, salinity, soil organic carbon, geostatistics, earth observation, GIS, Greece</p>

APPRAISAL OF SOIL PROPERTIES OF SOLANUM MELONGENA L. TO DIFFERENT GROWTH CONDITIONS

2021 ◽  
pp. 53-55
Author(s):  
Anjana P. A ◽  
Radhakrishnan V .V. ◽  
Mohanan K. V.
Keyword(s):  
Organic Matter ◽  
Organic Carbon ◽  
Soil Properties ◽  
Total Nitrogen ◽  
Organic Fertilizer ◽  
Organic Fertilizers ◽  
Soil Parameters ◽  
Total Organic Matter ◽  
Inorganic Fertilizers ◽  
Groundnut Cake

The response of brinjal plants to organic fertilizers and inorganic fertilizers under pot experiment investigated. This invivo experiment did in the Genetics and Plant Breeding Division of the Department of Botany, University of Calicut. Brinjal plants treated with three sources of organic fertilizers (vermicompost, groundnut cake and bonemeal), three sources of inorganic fertilizers (NPK 16:16:16, NPK 10:5:20 and urea) compared with control. The experimental design followed was a Randomized Complete Block Design (RCBD) with twenty-ve replicates. Soil properties were analyzed by collecting the soil from nine representative samples from each treatment. The soil parameters such as the pH, electrical conductivity (mhos/cm), total organic carbon (%), total organic matter, total nitrogen, phosphorus (kg/ha), potassium (g/ha), manganese, sulphur, iron, zinc, copper and boron were analyzed. The results showed that the macro and micronutrient availability increased in organic fertilizer treatments. Vermicompost increased soil properties signicantly. The percentage of organic carbon increased in organic fertilizer treatments. The same result showed in the case of total organic matter. Groundnut cake treatment gave the highest organic matter (4.75). Total nitrogen was highest in bonemeal (0.95) and potassium was highest in vermicompost (330kg/ha). Phosphorous (48.33kg/ha) and sulphur (43.1mg kg-1) were recorded highest in bonemeal. The highest values of trace elements (25 mg kg-1for Fe in groundnut cake; 0.96mg kg-1Cu, 14mg kg-1 Mn, 5.1mg kg-1 Zn and 0.98 mg kg-1 B in vermicompost observed. Therefore, 38% of the increase in iron, 17.0% off copper,14.75% increase in manganese, 2.82% increase in zinc and 20.99% increase seen in boron.

scholarly journals Distribution Pattern of Soil Organic Carbon and Its Regional Humification Constant in the Coastal Monsoon Region of Eastern China

2021 ◽  
Author(s):  
Shutian Liu ◽  
Xiansheng Xie ◽  
Xiaochuan Wang ◽  
Xinxin Feng ◽  
Xianda Hou ◽  
...  
Keyword(s):  
Organic Carbon ◽  
Distribution Pattern ◽  
Negative Correlation ◽  
Eastern China ◽  
Annual Average ◽  
Positive Correlation ◽  
Average Temperature ◽  
Average Precipitation ◽  
Annual Average Temperature ◽  
Precipitation And Temperature

Abstract Soils are an important pool for storing organic carbon. Soil organic carbon (SOC) content is generally considered as an important indicator to evaluate farmland soil quality. The loss of SOC causes soil degradation and reduces the sustainability of farmland. In order to reveal the distribution pattern of SOC in the coastal monsoon area of eastern China, and to clarify the macro dominant factors of SOC accumulation caused by temperature and precipitation, this paper analyzed the distribution pattern of SOC in the coastal monsoon area of eastern China by using the SOC data collected from the national soil testing and formula fertilization data set, and discussed the effects of temperature and precipitation on SOC content. According to the provincial administrative divisions, the distribution of SOC in the coastal monsoon areas of eastern China from Heilongjiang Province to Hainan Province was calculated. According to the annual average temperature < 10.18℃, 10.18 ℃ ~ 20.95℃, > 20.95℃, annual average precipitation 0 ~ 400 mm, 400 ~ 800 mm, > 800 mm, the study area was divided into different regions, and the effects of annual average temperature and annual average precipitation on SOC content were studied. In the region with annual average temperature less than 10.18℃, the temperature had a negative correlation with the accumulation of organic carbon, and the ratio of precipitation and temperature had a positive correlation with the accumulation of SOC; In the region of 10.18℃~20.95℃, the annual average temperature and annual average precipitation had a significant positive correlation, and the ratio of precipitation and temperature had a positive correlation with the accumulation of SOC; In the region > 20.95℃, the temperature had a negative correlation with the accumulation of organic carbon, and the ratio of precipitation and temperature was not related to the accumulation of SOC. In the range of 0 ~ 400 mm of annual average precipitation, the temperature had a positive correlation with the accumulation of SOC, and the ratio of precipitation and temperature had a negative correlation with the accumulation of SOC; In the range of 400 ~ 800 mm of annual average precipitation, the temperature had a negative correlation with the accumulation of SOC, and the ratio of precipitation and temperature had a positive correlation with the accumulation of SOC; In the region > 800 mm of annual average precipitation, the temperature had a positive correlation with the accumulation of organic carbon before the annual average temperature of 20.95℃, and after the annual average temperature of 20.95℃, the temperature had a negative correlation with the accumulation of organic carbon, and the ratio of precipitation and temperature had no significant effect on the accumulation of SOC. On the macro scale, the annual average temperature and precipitation had significant effects on the distribution pattern of SOC in the coastal monsoon area of eastern China. According to the influence of annual average temperature and annual average precipitation on SOC accumulation, a comprehensive model based on the annual average temperature and annual average precipitation on SOC accumulation is established. Through regression verification of the model, the correlation coefficient, r = 0.9998**, the cubic curve equation could better simulated the relationship between the predicted value and the real value of SOC, r = 0.7048**,the model can reflect the cumulative effect of annual average temperature and annual average precipitation on SOC accumulation Combined with the impact.

Influence of altitudes of coffee plants on the alkaloids contents of green coffee beans

2019 ◽  
Author(s):  
Chem Int
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Soil Ph ◽  
Negative Correlation ◽  
Green Coffee ◽  
Positive Correlation ◽  
Green Coffee Beans ◽  
Coffee Beans ◽  
Weak Negative Correlation ◽  
Coffee Plants

The influence of altitude of coffee plant and soil pH and organic carbon on alkaloid contents of green coffee beans was evaluated. The alkaloids content of 54 green coffee beans samples collected from coffee plants in Sidama, Illubabor, Jimma, Wellega and Gedeo grown at different altitudes (1515-2220 masl) was determined by high performance liquid chromatography. The caffeine and trigonelline were found in the range of 0.68-1.74% (w/w) and 0.68-1.44% (w/w), respectively. Theobromine was detected in only 18 samples and ranged 0.0186-0.32% (w/w). Theophylline was not detected in any of the green coffee beans samples. A weak negative correlation (R = -0.222) was found between the caffeine contents and the altitude of the coffee plants while a very weak positive correlation (R = 0.072) was found between the trigonelline contents and the altitude of the coffee plants. A strong negative correlation (R = -0.775) was found between the trigonelline contents and the caffeine content. A weak negative correlation was found between the caffeine contents and the soil organic carbon (R = -0.279) and between the trigonelline contents and the soil organic carbon (R = -0.101) while a weak positive correlation was found between the caffeine contents and the soil pH (R = 0.173) and between the trigonelline contents and the soil pH (R = 0.358) at which the coffee plants were grown.

scholarly journals Invasive Goldenrod (Solidago gigantea) Influences Soil Microbial Activities in Forest and Grassland Ecosystems in Central Europe

Diversity ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 134 ◽  
Author(s):  
Lenka Bobuľská ◽  
Lenka Demková ◽  
Andrea Čerevková ◽  
Marek Renčo
Keyword(s):  
Organic Carbon ◽  
Moisture Content ◽  
Physicochemical Properties ◽  
Soil Properties ◽  
Nitrogen Content ◽  
Total Nitrogen ◽  
Total Nitrogen Content ◽  
Soil Physicochemical Properties ◽  
Soil Microbial ◽  
Beta Glucosidase

A giant goldenrod plant, Solidago gigantea, native to North America is rapidly spreading in Europe and may have serious impact on ecosystems that inhabit. There is a lack of information about the effects of this species on soil biochemical properties and distribution and activity of microbial community. We analyzed soil physicochemical properties (soil reaction, soil moisture content, organic carbon and total nitrogen content) associated with activity of microbial population (activity of fluorescein diacetate (FDA), beta-glucosidase, urease and phosphatases enzymes) between invaded and adjacent uninvaded control sites in two habitats, forest and grassland, in the lowland of southeast Slovakia during years 2016 and 2017. The results revealed that invasion of S. gigantea significantly altered several soil properties and is associated with different soil properties. Soil acidity increased, organic carbon and moisture content decreased, while total nitrogen content was not significantly affected by invasion. FDA and urease activity were significantly higher in uninvaded sites. In contrast, beta-glucosidase and alkaline phosphatase activity were enhanced by S. gigantea invasion in both ecosystems studied. Acid phosphatase was not affected by the invasion. Our study proved that S. gigantea can influence several soil microbial properties while others remained unaffected, despite its significant impact on basal soil physicochemical properties.

INFLUENCE OF WEATHER CONDITIONS ON THE NITROGEN CONTENT OF WHEAT—II

1935 ◽  
Vol 13c (3) ◽  
pp. 127-133
Author(s):  
J. W. Hopkins
Keyword(s):  
Nitrogen Content ◽  
Negative Correlation ◽  
Partial Correlation ◽  
Statistical Study ◽  
Weather Conditions ◽  
Significant Modification ◽  
Positive Correlation ◽  
Temperature Coefficients

Supplementing a previous statistical study, coefficients designed to weight observed temperatures in proportion to their assumed effect on respiration were computed from the daily observations for three 3-week periods extending from July 1 to September 1. After allowing for the effect of May and June rainfall there was a moderate but significant partial correlation (r = +0.33) between nitrogen content and the sum of the temperature coefficients for the last two periods.There was a positive correlation (r = +0.74) between height of crop and yield of grain, and a negative correlation (r = −0.50) between height and nitrogen content. The partial correlation between nitrogen content and yield, after eliminating variations in both associated with height, was negligible (r = −0.07), suggesting that reductions in yield due to restriction of the later stages of translocation did not result in significant modification of the nitrogen content of the grain.Results of the investigation as a whole are briefly discussed.

scholarly journals Soil fertility status of 20 seed production areas of Tectona grandis Linn. f. in Karnataka, India

2011 ◽  
Vol 57 (No. 11) ◽  
pp. 483-490 ◽  
Author(s):  
R.P. Gunaga ◽  
A.H. Kanfade ◽  
R. Vasudeva
Keyword(s):  
Organic Carbon ◽  
Soil Properties ◽  
Seed Production ◽  
Fruit Yield ◽  
Site Quality ◽  
Stem Volume ◽  
Soil Parameters ◽  
Factors Affecting ◽  
Different Depths ◽  
Production Areas

&nbsp; The seed production area (SPA) is an improved plantation managed for production of quality seeds for a large-scale plantation programme. The soil nutrient is one of several factors affecting seed production among SPAs. The status of soil nutrients and their effect on seed production are poorly understood. Hence, the present study was undertaken in 20 seed production areas located in different seed zones of Karnataka, South India. Results showed that there was a greater variation among SPAs in various soil properties like soil pH, organic carbon, available NPK (nitrogen, phosphorus and potassium). Some of the studied parameters recorded significant variations among three different depths: 0&ndash;20 (top), 20&ndash;40 (middle) and 40&ndash;60 cm (bottom). For instance, organic carbon and available potassium showed significant variations at different depths, where the highest content was recorded in the top layer, followed by middle and bottom layers. Considering associations between soil properties and tree growth, organic carbon was positively associated with dbh (diameter at breast height; r = 0.500), stem roundness (r = 0.351) and stem volume (r = 0.250). Similarly, available nitrogen positively influenced the stem volume (r = 0.250). Though the fruit yield varied among SPAs, none of the studied soil parameters showed a significant influence on fruit yield indicating that some other factors like genetic ones, phenology, rainfall overlapping with peak flowering might control it. Data on site quality showed that all existing SPAs studied were growing in poor site conditions, however, this could be one of the factors affecting overall seed yield among SPAs. Hence, it is recommended to undertake a few important silvicultural interventions like application of fertilizer/organic manure, soil working, spraying of floral hormone and others to improve the existing seed production level.

Correlation of Phraseological Semantic Fields in Russian Study of Aphorisms

2020 ◽  
pp. 60-71
Author(s):  
Anshelika Korolkova
Keyword(s):  
Negative Correlation ◽  
Semantic Field ◽  
Positive Correlation ◽  
Classical Study ◽  
Semantic Fields ◽  
Zero Correlation ◽  
Russian Study

The article deals with the interconnection and interdependence of phraseological semantic fields of Russian study of aphorisms in synchronic and in diachronic approaches. The correlation of phraseological semantic fields of Russian study of aphorisms is considered as their interdependence due to various factors (linguistic and extra-linguistic ones). The correlation of the phraseological semantic fields of Russian study of aphorisms is manifested in the existence of many antinomies. The natural linguistic antinomies of life / death / immortality or war / peace, or good / evil, or friend / enemy, or villainy / nobility are reflected in Russian aphorisms and have entered the corresponding phraseological semantic fields. The corpus of Russian study of aphorisms containsnot only antinomic aphorisms, but also antinomic relations that extend to the level of language and speech. Therefore, in Russian study of aphorisms there are phraseological semantic fields that implement these antinomies. In addition to the antinomic phraseological semantic fields in the corpus of classical Russian study of aphorisms there are other types of correlations. The keywords (concepts) of many phraseological semantic fields are closely thematically connected. When the number of units from one field is changed, the number of units in another phraseological semantic field also changes. Most phraseological semantic fields of Russian study of aphorisms do not show a zero correlation in either synchronic or diachronic approaches. This is due to, first of all, the universality of the aphoristic theme, with all the ideological and thematic uniqueness of the sayings used by Russian writers. However, a few phraseological and semantic fields of aphorisms by Russian writers may show a negative correlation, which is due to the diversity of the thematic groups that comprise them. A positive correlation of phraseological semantic fields, the most significant in the number of their constituent components, shows deep internal linguistic systemic connections in Russian classical study of aphorisms.

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