scholarly journals Influence of Mineral Fertilization and Liming on Maize Production on Argic Chernozem in the Burnas Plain

2021 ◽  
Vol 9 (1) ◽  
pp. 19
Author(s):  
Anca-Luiza Stănilă
Keyword(s):  
Agricultural Production ◽  
Soil Compaction ◽  
Climatic Conditions ◽  
Advanced Degree ◽  
Mineralization Process ◽  
Chemical Fertilizers ◽  
Mineral Fertilization ◽  
Maize Production ◽  
Number Of Factors ◽  
Medium Permeability

In order to elucidate some aspects regarding the content of nutrients in the soil or humus, the bioaccumulation and mineralization process of organic matter and correction of the soils reaction in the experimental field, within the agricultural holding SC Orhideea SRL Plopsoru, Locality Daia, Giurgiu County, research has been done with chemical fertilizers with NPK and liming - Ca(OH)2 on argic chernozem in maize culture from the Burnas Plain in different doses.Obtaining appropriate agricultural production on argic chernozems is limited by a number of factors such as relief, clay loam, low-medium permeability just below the plowed horizon advanced degree of soil compaction, located between 20-35 cm from the surface (plow sole) and climatic conditions.

Impact of climatic conditions on the parameters of failure flow of military vehicles

2021 ◽  
pp. 095440702110202
Author(s):  
Nikolaj Dobrzinskij ◽  
Algimantas Fedaravicius ◽  
Kestutis Pilkauskas ◽  
Egidijus Slizys
Keyword(s):  
Climatic Factors ◽  
Armed Forces ◽  
Climatic Conditions ◽  
Operating Conditions ◽  
Technical Equipment ◽  
Factors Affecting ◽  
Military Vehicles ◽  
Equipment Reliability ◽  
Number Of Factors ◽  
The Impact

Relevance of the article is based on participation of armed forces in various operations and exercises, where reliability of machinery is one of the most important factors. Transportation of soldiers as well as completion of variety of tasks is ensured by properly functioning technical equipment. Reliability of military vehicles – armoured SISU E13TP Finnish built and HMMWV M1025 USA built were selected as the object of the article. Impact of climatic conditions on reliability of the vehicles exploited in southwestern part of the Atlantic continental forest area is researched by a case study of the vehicles exploitation under conditions of the climate of Lithuania. Reliability of military vehicles depends on a number of factors such as properties of the vehicles and external conditions of their operation. Their systems and mechanisms are influenced by a number of factors that cause different failures. Climatic conditions represent one of the factors of operating load which is directly dependent on the climate zone. Therefore, assessment of the reliability is started with the analysis of climatic factors affecting operating conditions of the vehicles. Relationship between the impact of climatic factors and failure flow of the vehicles is presented and discussed.

scholarly journals A reliable rainfall–runoff model for flood forecasting: review and application to a semi-urbanized watershed at high flood risk in Italy

2016 ◽  
Vol 48 (3) ◽  
pp. 726-740 ◽  
Author(s):  
Daniele Masseroni ◽  
Alessio Cislaghi ◽  
Stefania Camici ◽  
Christian Massari ◽  
Luca Brocca
Keyword(s):  
Flood Risk ◽  
Climatic Conditions ◽  
Rainfall Runoff ◽  
Number Of Factors ◽  
Wide Range ◽  
Median Volume ◽  
Flood Estimation ◽  
High Flood ◽  
Rainfall Runoff Model ◽  
Flooding Events

Many rainfall–runoff (RR) models are available in the scientific literature. Selecting the best structure and parameterization for a model is not straightforward and depends on a broad number of factors, including climatic conditions, catchment characteristics, temporal/spatial resolution and model objectives. In this study, the RR model ‘Modello Idrologico Semi-Distribuito in continuo’ (MISDc), mainly developed for flood simulation in Mediterranean basins, was tested on the Seveso basin, which is stressed several times a year by flooding events mainly caused by excessive urbanization. The work summarizes a compendium of the MISDc applications over a wide range of catchments in European countries and then it analyses the performances over the Seveso basin. The results show a good fit behaviour during both the calibration and the validation periods with a Nash–Sutcliffe coefficient index larger than 0.9. Moreover, the median volume and peak discharge errors calculated on several flood events were less than 25%. In conclusion, we can be assured that the reliability and computational speed could make the MISDc model suitable for flood estimation in many catchments of different geographical contexts and land use characteristics. Moreover, MISDc will also be useful for future support of real-time decision-making for flood risk management in the Seveso basin.

scholarly journals Allocative efficiency and adoption of improved maize variety: A case of eastern hills of Nepal

2020 ◽  
Vol 3 (1) ◽  
pp. 148-159
Author(s):  
Tilak Katel ◽  
Bhishma Raj Dahal ◽  
Sandesh Bhatta
Keyword(s):  
Regression Model ◽  
Insect Pest ◽  
Allocative Efficiency ◽  
Climatic Conditions ◽  
Probit Regression ◽  
Maize Production ◽  
Factors Affecting ◽  
Face To Face ◽  
Maize Variety ◽  
Structured Questionnaire

Production and  profit from maize farming can be substantially increased by allocating resources efficiently and adopting improved maize variety. In this context, a study was undertaken to determine the allocative efficiency and factors affecting adoption of improved maize variety in Eastern hills of Nepal. Random sampling was conducted in eastern part of Khotang district namely, Halesi municipality and Diktel Rupakot Majuwagadi municipality during month of March 2019. Pretested semi-structured questionnaire was administered among 80 randomly selected farmers cultivating maize since last two years. Face to face interview was scheduled to obtain data. Cobb Douglas production function was used to determine allocative efficiency; probit regression model was launched to determine factors affecting adoption of improved maize variety.  Significant positive relation of cost of seed, planting, and weeding with income has suggested to increase expenditure on certified maize seed over own farm seed, line sowing over broadcasting, and weeding. The model revealed that increasing all the factors of production by 100% would result in increase in income by 71.83%. Furthermore, cultivating improved maize variety is more profitable than own farm seed. Probit regression model showed that, farmers who have received training, who were member of cooperatives and who have received high schooling were more likely to adopt open-pollinated improved maize variety. Unavailability of inputs (seed, fertilizer, and labor), insect pest attack and adverse climatic conditions were major constraint of maize farming. Therefore, it would be better to suggest maize producers to increase expenditure on seed; make maize field weed free and adopt line sowing method. In addition, providing training, increasing access over inputs and encouraging farmers towards cooperatives could be virtuous for sustainable maize production.

scholarly journals Economic Analysis of Fertilizer Demand in the Punjab

1977 ◽  
Vol 16 (2) ◽  
pp. 181-191 ◽  
Author(s):  
Abdul Salam
Keyword(s):  
Economic Analysis ◽  
Agricultural Production ◽  
Agricultural Development ◽  
Chemical Fertilizers ◽  
Farm Machinery ◽  
Farm Productivity ◽  
Farm Production ◽  
Fertilizer Demand ◽  
Farm Inputs

It is a well known fact that increased use of purchased farm inputs, such as chemical fertilizers, pesticides, seeds and farm machinery, etc., has been associated with a substantial increase in agricultural production and higher farm productivity. Since demand for farm inputs is derived from demand for farm products, therefore, agricultural development in a country or region may be studied either through the changes in farm production and productivity, or through the changes in demand for various farm inputs. The demand for fertilizers, especially, lends itself to this type of analysis, because fertilizer is a highly divisible farm input.

Limitations and Impacts of Agricultural Production on the Savanna Belt: the Nigerian Case

1995 ◽  
Vol 24 (2) ◽  
pp. 117-120 ◽  
Author(s):  
Chijioke C. Onyebuchi
Keyword(s):  
Agricultural Production ◽  
Large Scale ◽  
Negative Impact ◽  
Farming Systems ◽  
Climatic Conditions ◽  
Limiting Factors ◽  
Ecological Principles ◽  
Nigerian Savanna

It is not enough simply to identify the limiting factors to agricultural production, supply the appropriate inputs and then expect to be able to meet food demands. It is essential also to protect the environment in which food is grown, especially in areas of fragile ecosystems and harsh climatic conditions, in order to ensure both increased production and stability of the production base. In the Nigerian savanna belt, traditional and mechanized large-scale farming systems are both practised, and they combine with unfavourable climatic conditions to exert a strong negative impact on the environment. Here, these interactions are examined and the case is made for incorporating fundamental ecological principles and concepts of sustainability into farming systems, in Nigeria and elsewhere.

Transformations and nitrate sources in an agricultural watershed(Quanshui River, China): An investigation using hydrogeochemistry, isotopes, and a Bayesian model

2021 ◽  
Author(s):  
Mingda Cao
Keyword(s):  
Surface Water ◽  
Bayesian Model ◽  
Field Investigation ◽  
Climatic Conditions ◽  
Agricultural Watershed ◽  
Agricultural Activities ◽  
Transformation Mechanism ◽  
Chemical Fertilizers ◽  
Nitrate Sources ◽  
The Difference

<p>The spatiotemporal changes of nitrate in agricultural watersheds are of global concern. Although numerous studies have explained the source and transformation mechanism of nitrate in groundwater and surface water, the transformation mechanism in groundwater remains poorly understood because of different hydrogeological and climatic conditions. Based on a field investigation and sampling, this study revealed the sources and transformation mechanism of nitrogen in surface water and groundwater in a karst agricultural watershed by comprehensively using water chemistry data, isotope components, and a Bayesian model (simmr). The results indicated that:1)Local agricultural activities have controlled the changes of δ<sup>15</sup>N-NO<sub>3</sub><sup>-</sup>, δ<sup>18</sup>O-NO<sub>3</sub><sup>-</sup> and δ<sup>15</sup>N-NH<sub>4</sub><sup>+</sup> in groundwater. The difference is that the concentration of NO<sub>3</sub><sup>-</sup> is significantly affected by rainfall. However, the contribution of rainfall to groundwater NO<sub>3</sub><sup>-</sup> is relatively small (<9%), indicating that there is a dual influence mechanism of leaching in the watershed that controls the concentration of groundwater NO<sub>3</sub><sup>-</sup>, while agricultural activities control its isotope changes;2)The study observed that after fertilization, due to the influence of ammonia volatilization and nitrification, δ<sup>15</sup>N-NO<sub>3</sub><sup>-</sup>, δ<sup>18</sup>O-NO<sub>3</sub><sup>-</sup> in groundwater showed a simultaneous decrease, while δ<sup>15</sup>N-NH<sub>4</sub><sup>+</sup> showed an increasing trend, which may be due to the result of incomplete nitration of NH<sub>4</sub><sup>+</sup> in the vadose zone;3)According to the calculation results of the simmr model, in the two main fertilization periods in October 2018 and April 2019, the contribution of chemical fertilizers to groundwater NO<sub>3</sub><sup>-</sup>reached the peak value(65% and 69%), which is in line with the seasonal variations of δ<sup>15</sup>N-NO<sub>3</sub><sup>-</sup>, δ<sup>18</sup>O-NO<sub>3</sub><sup>-</sup>and δ<sup>15</sup>N-NH<sub>4</sub><sup>+</sup>;4)The surface water in the watershed is mainly supplied by groundwater, and the contribution of chemical fertilizers to surface water NO<sub>3</sub><sup>-</sup> is generally higher than that of groundwater. This may be caused by the drainage of rice fields containing chemical fertilizers into the river.</p>

scholarly journals SOIL MICROBIOLOGICAL ACTIVITY AND PRODUCTIVITY OF MAIZE FODDER WITH LEGUMES AND MANURE DOSES

2018 ◽  
Vol 31 (4) ◽  
pp. 882-890
Author(s):  
Charlley de Freitas Silva ◽  
Erika Valente de Medeiros ◽  
Marthony Dornelas Santana ◽  
Maysa Bezerra de Araújo ◽  
Argemiro Pereira Martins Filho ◽  
...  
Keyword(s):  
Block Design ◽  
Pigeon Pea ◽  
Dry Mass ◽  
Cattle Manure ◽  
Mineral Fertilization ◽  
Maize Production ◽  
Maize Cultivation ◽  
Biochemical Quality ◽  
Soil Microbiological Activity

ABSTRACT Maize is an important cereal and it is widely consumed in the world, both as food for humans and animals. Nitrogen (N) is a nutrient required in large quantities by maize, but unfortunately, soils are limited in meeting this need. Nodulating legumes can serve as a source of Nitrogen, because they are symbiotically associated with bacteria capable of fixing atmospheric N. Another important source of this nutrient is cattle manure, which is widely used in agriculture. The objective of the present study was to evaluate the effect of using legumes and cattle manure on the production as well as the microbial and biochemical quality of the soil used for maize cultivation. The experiment was conducted using a randomized complete block design, in a sub-subdivided plot scheme [(2x4) +2], two leguminous plants (pigeon pea and macassar bean), four doses of cattle manure (0, 20, 40 and 60 t ha-1) and two controls; one with mineral fertilization and the other cultivated without the use of fertilizers. Treatment using a manure dose of 60t ha-1 and pigeon pea legume, recorded higher dry mass production per plant. The increase in manure doses was directly proportional to the length and weight of the cobs for the two legumes. The enzymatic activities were affected by the different doses and legumes, with greater results being recorded at the 60 t ha-1 dose with the macassar legume. The use of legumes with manure improved maize production as well as the microbiological and biochemical quality of soils.

scholarly journals Perspectives of the Moldavian Agricultural Sector by Using a Custom-Developed Analytical Framework

2020 ◽  
Vol 12 (11) ◽  
pp. 4671
Author(s):  
Ștefan-Mihai PETREA ◽  
Dragos Sebastian Cristea ◽  
Maria Magdalena Turek Rahoveanu ◽  
Cristina Gabriela Zamfir ◽  
Adrian Turek Rahoveanu ◽  
...  
Keyword(s):  
Land Surface ◽  
Agricultural Production ◽  
Agricultural Sector ◽  
Value Added ◽  
Analytical Framework ◽  
Agricultural System ◽  
Correlation Model ◽  
Maize Production ◽  
Agriculture Sector ◽  
Production Values

Moldova possesses the largest area of farmland as a share of its total land surface, an advantage which should encourage economic development strategies oriented towards the agriculture sector. Government subsidies and agriculture loans have been used as tools for developing the Moldavian agriculture. However, considering the challenges generated by both climate change (the drought from year 2012 that affected 80% of farmland) and a difficult political situation (restrictions imposed by the Russian Federation on the Republic of Moldova’s agri-food imports and exports between 2013 and 2014), the country’s agricultural system ranks very low when it comes to agricultural production efficiency. The present paper analyses the performances of the agricultural sector and its impact on the Moldavian economy over a nine-year period (between 2008 and 2016), by using a custom-developed analytical framework based on a dataset containing 21 relevant indicators. The analytical framework generates various perspectives that can be used to elaborate an economic sustainable development strategy of the Moldavian agriculture sector. The development of the analytical framework is based on the dynamics of agriculture subsidies, agricultural loans, the agricultural sector’s gross domestic product (GDP) and gross value added (GVA), as well as the dynamics of agricultural production and production value, also considering the main crops belonging to the Moldavian agriculture sector. The results are presented as sets of mathematical regression models that quantify the relationships found between the relevant agricultural parameters and their impact on the economics of the agricultural sector. It has been identified that the agriculture sector has a considerable impact on the Moldavian economy, a fact revealed by the significant model between the agriculture GVA and total GVA and GDP. A significant, negative correlation model was identified between agriculture subsidies and agriculture loans, although a small percentage of Moldavian agriculture farms were subsidized. Strong correlation models were also identified between wheat and maize production and total agriculture production, emphasizing the importance of these two crops for the Moldavian agricultural economy. Grape and maize production values also generated a correlation model, emphasizing the market interconnection between these crops It can be concluded that the increase in value of governmental agriculture subsidies, as well as expanding their addressability in order to maximize the access possibility for a higher number of agriculture farms, are essential for the Moldavian agriculture sector’s future development, since considering the limiting value of and accessibility to subsidies, a direct correlation model was identified between governmental agriculture subsidies and agriculture GVA.

China’s Agricultural Development in Response to Climate Change

2012 ◽  
Vol 524-527 ◽  
pp. 3609-3612
Author(s):  
Wen Bao
Keyword(s):  
Climate Change ◽  
Agricultural Production ◽  
Food Production ◽  
Agricultural Development ◽  
Production Systems ◽  
Climatic Conditions ◽  
Mountain Areas ◽  
Mitigation And Adaptation ◽  
Change Climate ◽  
Mitigation And Adaptation Strategies

Agricultural development, especially agricultural production in mountain areas, is fundamentally linked to climatic conditions, so any changes in climate will necessarily affect agricultural development. China’s agriculture faces several development challenges including those linked to climate change. Climate change is threatening food production systems and therefore the livelihoods of hundreds of millions of people who depend on agriculture in China. Agriculture is the sector most vulnerable to climate change due to its high dependence on climate and weather and because people involved in agriculture tend to be poorer compared with urban residents. Consistent warming trends and more frequent and intense meteorological disasters have been observed across China in recent decades. In line with climate change across the whole country, it will require agricultural development to implement comprehensive mitigation and adaptation strategies.

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