Wheat Crop Cultivation's Profitability Studies in Sugar Crop Dominated Areas

The study was conducted at Arid Zone Research Centre (AZRC), Dera Ismail Khan (D.I.Khan) to evaluate cost and benefit of wheat cultivation in district Dera Ismail Khan, Khyber Paktoon Khwa province of Pakistan during 2015. The basic underlying assumption of economic analysis of wheat production was to assess the farmers/growers financial impact of wheat cultivation. A sample of 200 respondents from 10 major wheat growing villages of the respective areas of the district was interviewed through pretested questionnaire. The study revealed that the cost of wheat production was Rs=35,680 per acres, whereas output comes 1650 Kg per acre (42 mounds) amounting Rs=63,600 per acre. Farmers' margin also rises by adding the value of family labour and owned land which is sufficient to sustain a normal family. Moreover, positive influence between return price and output of wheat was concluded from the study, whereas negative effect of cost was also observed. The output elasticity of Land Preparation (LP), Seed and Sowing (SS), Farm Inputs (FI), Irrigation (Irr), Pesticides (Pest) and Harvesting/Threshing (HT) are 0.124587, 0.31244, 0.5874, 0.55461, 0.08248 and 0.65743, respectively.

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Resource Use Efficiency and Factors Affecting Land Allocation for Wheat (Triticum aestivum L.) Production in Bangladesh

The Agriculturists ◽

10.3329/agric.v15i1.33426 ◽

2017 ◽

Vol 15 (1) ◽

pp. 28-39

Author(s):

Basanta Kumar Barmon ◽

Mahfuzul Islam

Keyword(s):

Resource Use ◽

Labor Cost ◽

Land Allocation ◽

Primary Data ◽

Resource Use Efficiency ◽

Factors Affecting ◽

Wheat Production ◽

Land Preparation ◽

Wheat Cultivation ◽

Use Efficiency

The present study aimed to estimate the resource use efficiency and identify the factors affecting land allocation for wheat production in Bangladesh. Primary data were randomly collected from 183 wheat producers from three Upzillas of Natore district. The results revealed that farmers had experienced decreasing return to scale in wheat production. Farm area, seed cost and labor cost were the main factors that positively, and irrigation negatively affected wheat production. The sampled farmers failed to show their efficiency in using the resources in wheat cultivation. There was further opportunity to increase wheat production using more seed, chemical fertilizers, manure and pesticides. However, there was no further scope to increase wheat production by using irrigation, land preparation and labor inputs. The study also revealed that farmers age, education, wheat farming experience, location and family size significantly affected the probability of land allocation in wheat production. Soil type in the study areas played a vital role in the decision process of wheat cultivation. It could be concluded that proper utilization of inputs can increase wheat in Bangladesh.The Agriculturists 2017; 15(1) 28-39

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Forecasting Techniques for Wheat Production in Sindh Province

Journal of Applied Research in Plant Sciences ◽

10.38211/joarps.2021.2.1.12 ◽

2021 ◽

Vol 2 (1) ◽

pp. 83-91

Author(s):

Keyword(s):

Time Series ◽

Secondary Data ◽

Wheat Crop ◽

Statistical Techniques ◽

Moving Averages ◽

Wheat Production ◽

Maximum Value ◽

Wheat Cultivation ◽

Sindh Province ◽

Increasing Trend

The present study is an attempt to forecast the wheat production in Sindh province of Pakistan using sophisticated statistical techniques. The secondary data regarding area, production and yield of wheat crop were collected for the last thirty years (1984-85 to 2013-14) for estimation and forecasting purposes using time series techniques such as moving averages and exponential smoothing. The estimates for three, five and seven-years moving averages for area were found to have a minimum value of 849.87,863.04, and 890.09 hectares and maximum value of 1129.4,1111.58, and 1109.6 hectares respectively. Likewise, for production, these estimates were found as 2065.57, 2117.7, 2154.3 and 3917.50, 3740.8, 3469.4 tons respectively. So, for as the yield is concerned, the above-mentioned estimates for minimum and maximum were found as 2071.7, 2107.8, 2121 and 3574.0, 3520, and 3414 respectively. Based on the findings of the present study, it is concluded that during the last thirty years the area, production and yield under wheat cultivation showed an increasing trend. In case of forecasting, the area and production under wheat cultivation was increase in the coming year, but the yield under wheat cultivation was considerably decreased due to shortage of irrigation water.

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Morphophysiological Responses of Wheat Cultivars in Competition With Diploid and Tetraploid Ryegrass

Journal of Agricultural Studies ◽

10.5296/jas.v8i3.16779 ◽

2020 ◽

Vol 8 (3) ◽

pp. 546

Author(s):

Renata Baldessarini ◽

Leandro Galon ◽

Leandro Vargas ◽

Caroline Müller ◽

Daiane Brandler ◽

...

Keyword(s):

Dry Mass ◽

Wheat Crop ◽

Wheat Cultivars ◽

Replacement Series ◽

Randomized Design ◽

Wheat Cultivation ◽

Internal Concentration ◽

Negative Effect ◽

Weed Infestation ◽

Use Efficiency

Wheat crop growth and development can be affected by weed infestation, especially ryegrass. Thus, the objective of this study was to evaluate the competitive ability of wheat cultivars with the diploid and tetraploid ryegrass biotypes. Greenhouse experiments were conducted in a completely randomized design with four replications. BRS Parrudo and TBIO Sinuelo wheat cultivars and the competitors ryegrass diploid and tetraploid were used. The population of each species was defined and then the replacement series experiments were carried out, containing the following proportions of wheat and ryegrass plants: 100:0, 75:25, 50:50, 25:75; and 0:100%, equivalent to 32:0; 24:8; 16:16; 8:24; and 0:32 plants per pot. Fifty days after species emergence, physiological traits, such as photosynthetic activity (A), stomatal conductance (gS), transpiration rate (E), internal concentration of mesophyll CO2 (Ci), water use efficiency (WUE), and carboxylation efficiency (CE), were evaluated, along with the morphological traits of leaf area (LA), stem diameter (SD), number of tillers (NT), and shoot dry mass (DM). Competitiveness analysis was performed by means of diagrams applied to substitutive experiments using relative competitiveness indices. The ryegrass, both diploid and tetraploid, had a negative effect on the variables related to A, WUE and also those associated with plant growth. The ryegrass negatively changed the LA, DM, SD, and NT of the cultivars BRS Parrudo and TBIO Sinuelo, which demonstrates competition between the cultivars of wheat and the weed ryegrass with mutual damage to the species involved in the community. Interspecific competition caused greater damage to species development when compared to intraspecific competition. Therefore, ryegrass control, even at low density, is recommended for wheat cultivation.

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Pengaruh Hedonisme dan Religiusitas Terhadap Perilaku Konsumtif Mahasiswa

EKONOMIKA SYARIAH Journal of Economic Studies ◽

10.30983/es.v4i1.3198 ◽

2020 ◽

Vol 4 (1) ◽

pp. 39

Author(s):

Arif Rahmat ◽

Asyari Asyari ◽

Hesi Eka Puteri

Keyword(s):

Consumer Behavior ◽

Positive Influence ◽

Cluster Sampling ◽

Sampling Techniques ◽

Negative Effect ◽

Consumptive Behavior

<div class="WordSection1"> This study aims to analyze the influence of hedonism and religiosity on the consumptive behavior of students at the Faculty of Islamic Economics and Business, State Islamic Institute of Bukittinggi, West Sumatera, Indonesia. The population in this studi was 3,900 students and the sample was 363 of them that were selected by using the cluster sampling techniques. The results showed that hedonism has a positive influence on the consumptive behavior of students, it means that the higher of the level of hedonism, the higher the consumptive behavior of students. Meanwhile, religiosity was found to have the negative effect on the consumptive behavior of students, its meant that the higher the level of religious students, the lower the consumptive behavior of students, this study suggests that hedonism and religiosity explain variations in student consumer behavior by 64.5%, while the remaining 35.5% % is explained by other variables not explored in this study. This finding shows that to manage consumption properly, students must control their hedonism and increase their level of religiosity so that they will far from consumptive habits. </div>

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Salinity Problems in the Arid Zones. Arid Zone Research, Vol. XIV

Geographical Journal ◽

10.2307/1794150 ◽

1962 ◽

Vol 128 (1) ◽

pp. 99

Author(s):

B. H. Farmer ◽

UNESCO

Keyword(s):

Arid Zone ◽

Arid Zones ◽

Arid Zone Research

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De relatie tussen herstel, werkdruk en slaap: een dagboekstudie

Gedrag & Organisatie ◽

10.5117/2010.023.004.004 ◽

2010 ◽

Vol 23 (4) ◽

Author(s):

Alicia L.T. Walkowiak ◽

Ute R. Hülsheger ◽

Fred R.H. Zijlstra

Keyword(s):

Sleep Quality ◽

Positive Influence ◽

Mediating Effect ◽

Mediation Effect ◽

Diary Study ◽

Work Pressure ◽

Negative Effect ◽

The Relationship ◽

High Work

The relationship between recovery, work pressure and sleep quality: A diary study The relationship between recovery, work pressure and sleep quality: A diary study Alicia L.T. Walkowiak, Ute R.Hülsheger & Fred R.H. Zijlstra, Gedrag & Organisatie, volume 23, December 2010, nr. 4, pp. 316-332. Previous research showed that the experience of high work pressure can lead to fatigue and even to health complaints on the long term. This makes it very important, especially for people who experience high work pressure, to take sufficient time to recover after work. Sleep quality has a positive influence on recovery. The aim of this diary study was to investigate whether sleep quality has a mediating effect on the relationship between work pressure and recovery. Seventy-six people took part in the study and answered questions about work, recovery and sleep for 14 days. Results showed that work pressure indeed had a negative effect on recovery and sleep quality. Furthermore, we found a partial mediation effect: sleep quality mediated the relationship between work pressure and recovery. These results stress the importance of recovery and sleep quality, especially for people who experience high work pressure.

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Self-Expressive Creativity in the Adolescent Digital Domain: Personality, Self-Esteem, and Emotions

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph16224527 ◽

2019 ◽

Vol 16 (22) ◽

pp. 4527 ◽

Cited By ~ 1

Author(s):

Pérez-Fuentes ◽

Molero Jurado ◽

Gázquez Linares ◽

Oropesa Ruiz ◽

Simón Márquez ◽

...

Keyword(s):

Emotional Intelligence ◽

High School Students ◽

Personality Traits ◽

Self Esteem ◽

Positive Influence ◽

Openness To Experience ◽

Positive Development ◽

Personality Factors ◽

School Students ◽

Negative Effect

Background: Although self-expressive creativity is related to cyberbullying, it can also reinforce strengths that contribute to positive adolescent development. Our study concentrated on the relationships between personality traits and self-expressive creativity in the digital domain in an adolescent population. For this, we analyzed the effect of self-esteem and emotional intelligence as assets for positive development related to personality traits and self-expressive creativity. Methods: The study population included a total of 742 adolescents that were high-school students in the province of Almería, Spain. The following instruments were used: Big Five Inventory (BFI) to evaluate the five broad personality factors, Rosenberg Self-Esteem Scale (RSE), Expression, Management, and Emotion Recognition Evaluation Scale (TMMS-24), and the Creative Behavior Questionnaire: Digital (CBQD). Results: The cluster analysis revealed the existence of two profiles of adolescents based on their personality traits. The analysis showed that the group with the highest levels of extraversion and openness to experience and lowest levels of neuroticism were those who showed the highest scores in self-esteem, clarity, and emotional repair, as well as in self-expressive creativity. Higher scores in neuroticism and lower scores in extraversion and openness to experience showed a direct negative effect on self-expressive creativity and indirect effect through self-esteem and emotional attention, which acted as mediators in series. Conclusions: To counteract certain characteristics that increase adolescents’ vulnerability to social network bullying, a plan must be developed for adequate positive use of the Internet from a creative model that enables digital self-expression for acquiring identity and self-efficacy through the positive influence of peers, which promotes feelings of empowerment and self-affirmation through constructive tasks that reinforce self-esteem and emotional intelligence.

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The demography of desert Australia

The Rangeland Journal ◽

10.1071/rj07043 ◽

2008 ◽

Vol 30 (1) ◽

pp. 29 ◽

Cited By ~ 19

Author(s):

Dominic Brown ◽

John Taylor ◽

Martin Bell

Keyword(s):

Economic Policy ◽

Arid Zone ◽

Policy Implications ◽

Population Projections ◽

Research Centre ◽

Arid Zones ◽

Demographic Information ◽

The Impact ◽

First Time ◽

Semi Arid

In recent years, with the formation of organisations such as the Desert Knowledge Cooperative Research Centre, social science interest in the Australian desert has re-surfaced with a research emphasis that is focused on creating sustainable futures for the region. One consequence of this is a demand for detailed demographic information to allow an assessment of different quanta of need in social and economic policy, and for assessment of the impact of these in environmental policy. However, demographic analysis on human populations in the desert to date has attracted very little research attention. In this paper we begin to address this lack of analysis by focusing on the populations, both aboriginal and non-aboriginal, of the arid and semi-arid zones of Australia. We extend earlier analysis by including for the first time demographic information on the semi-arid as well as the arid zone to establish the spatial pattern of population growth within the whole desert area drawing attention to the resulting settlement structure as an outcome of prevailing social, cultural and economic conditions. By examining population structure and demographic components of population change we also present for the first time population projections for the semi-arid zone and, therefore, in combination with the arid zone, for the entire Australian desert. All of this provides a basis for considering social and economic policy implications and the nature of underlying processes that drive change in this region.

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Net Income and CSR Disclosure as Predictors Shares Price and Return per Share

Jurnal Dinamika Manajemen ◽

10.15294/jdm.v10i1.18946 ◽

2019 ◽

Vol 10 (1) ◽

pp. 81-91

Author(s):

Wahyuni Rusliyana Sari ◽

Anita Roosmalina Matusin

Keyword(s):

Positive Impact ◽

Linear Regression Analysis ◽

Multiple Linear Regression Analysis ◽

Positive Influence ◽

Net Income ◽

Manufacturing Companies ◽

Measurement Instruments ◽

Environmental Liabilities ◽

Negative Effect ◽

Csr Disclosure

The purpose of this study was to determine the factors that influence shares price and return per share of 63 manufacturing companies period 2012-2016. The research method is multiple linear regression analysis, which done by the classical assumption test. The results of the research in the first model show that there is a positive influence between book value per share, net income, CSR social, and CSR report on shares price. While in the second model using the enter method shows delta net income and delta CSR total had a positive effect on return per shares, and delta CSR environment has a negative effect on return per share, while those using stepwise method delta CSR social and delta CSR net income had a positive impact on return per share. The contribution of this study is to provide information to stakeholders that CSR environment does not have an important role in shares prices, prioritizing the interests of shareholders, which means that the CSR environmental measurement instruments focus on disclosure, and ignore fundamental aspects, namely environmental liabilities. The implication is that the regulator, investor, and profession needs to more pay attention to CSR environmental.

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Estimation of Wheat Area using Sentinel-1 and Sentinel-2 Datasets (A Comparative Analysis)

International Journal of Agriculture & Sustainable Development ◽

10.33411/ijasd/2019010306 ◽

2019 ◽

Author(s):

Ayesha Behzad ◽

Muneeb Aamir ◽

Syed Ahmed Raza ◽

Ansab Qaiser ◽

Syeda Yuman Fatima ◽

...

Keyword(s):

Comparative Analysis ◽

Random Forest ◽

Water Body ◽

Supervised Classification ◽

Wheat Crop ◽

Random Forest Classification ◽

Forest Classification ◽

Wheat Cultivation ◽

Erdas Imagine ◽

Sentinel 2

Wheat is the basic staple food, largely grown, widely used and highly demanded. It is used in multiple food products which are served as fundamental constituent to human body. Various regional economies are partially or fully dependent upon wheat production. Estimation of wheat area is essential to predict its contribution in regional economy. This study presents a comparative analysis of optical and active imagery for estimation of area under wheat cultivation. Sentinel-1 data was downloaded in Ground Range Detection (GRD) format and applied the Random Forest Classification using Sentinel Application Platform (SNAP) tools. We obtained a Sentinel-2 image for the month of March and applied supervised classification in Erdas Imagine 14. The random forest classification results of Sentinel-1 show that the total area under investigation was 1089km2 which was further subdivided in three classes including wheat (551km2), built-up (450 km2) and the water body (89 km2). Supervised classification results of Sentinel-2 data show that the area under wheat crop was 510 km2, however the built-up and waterbody were 477 km2, 102 km2 respectively. The integrated map of Sentinel-1 and Sentinel-2 show that the area under wheat was 531 km2 and the other features including water body and the built-up area were 95 km2 and 463 km2 respectively. We applied a Kappa coefficient to Sentinel-2, Sentinel-1 and Integrated Maps and found an accuracy of 71%, 78% and 85% respectively. We found that remotely sensed algorithms of classifications are reliable for future predictions.

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