Current Research in Agricultural Sciences

Published by: Conscientia Beam
Online ISSN: 2312-6418
Print ISSN: 2313-3716
Quick Submission    Login/Submit/Track

No. 2

Impact of Laser Land Leveling On Water Productivity of Wheat under Deficit Irrigation Condations

Pages: 53-64
Find References

Finding References


Impact of Laser Land Leveling On Water Productivity of Wheat under Deficit Irrigation Condations

Search :
Google Scholor
Search :
Microsoft Academic Search
Cite

Abdelraouf R. Eid , Mehana H. Mohamed , Sabreen Kh. Pipars , Bakry A. Bakry

Export to    BibTeX   |   EndNote   |   RIS

  1. L. W. Briggle, Origin and botany of wheat. Basel. Switzerland: Wheat Documenta Ciba-Geigy, 1980.
  2. E. Triboi, P. Martre, and A. Triboi-Blondel, "Environmentally-induced changes in protein composition in developing grains of wheat are related to changes in total protein content," J. Exp. Bot., vol. 54, pp. 1731- 1742, 2003.
  3. M. L. Jat, C. Parvesh, G. Raj, S. K. Sharma, and M. A. Gill, Laser land leveling: A precursor technology for resource conservation. Rice-wheat consortium technical bulletin Series No. 7. New Delhi: Rice-Wheat Consortium for the Indo-Gangetic Plains, 2006.
  4. Conservation Agriculture, "Conservation agriculture: Resource productivity and efficiency," IVth World Congress on Conservation Agriculture, New Delhi, PACA, 1st Floor, NASC Complex, DPS Marg, Pusa, New Delhi - 110 012 INDIA, 2009. Available: www.conserveagri.org, 2009.
  5. C. Kirda, Deficit irrigation scheduling based on plant growth stages showing water stress tolerance. Adana, Turkey: Cukuroya University, 2000.
  6. P. C. Liven and F. C. Van Rooyen, "The effect of discharge rate and intermittent water application by point-source irrigation on the soil moisture distribution pattern," Soil Sci.Amer. J., vol. 43, pp. 8-15, 1979.
  7. L. G. James, Principles of farm irrigation system design: John Willey&sons. Inc.,Washington State University, 1988.
  8. F. C. Stickler, Weaden, and A. W. Pauli, "Leaf area determination in grain sorghum," Agron. J., vol. 53, pp. 187–188, 1961.
  9. G. W. Snedecor and W. G. Cochran, Statistical methods, 7th ed. Iowa, U.S.A.: Iowa State Univ. Press, 1982.
  10. D. B. Duncan, "Multiple range and multiple F tests," Biometrics, vol. 11, pp. 1 - 42, 1955.
  11. E. K. Rizk, "Irrigation scheduling and environmental stress coefficient of kidney bean under some irrigation systems in North Sinai," Egypt. J. of Appl. Sci., vol. 22, pp. 286-296, 2007.
No any video found for this article.
Abdelraouf R. Eid , Mehana H. Mohamed , Sabreen Kh. Pipars , Bakry A. Bakry (2014). Impact of Laser Land Leveling On Water Productivity of Wheat under Deficit Irrigation Condations. Current Research in Agricultural Sciences, 1(2): 53-64. DOI:
Nowadays determining the optimum crop water requirements is considered one of the most important factors affecting plant productions, especially, with scarce water resources. This may be due to the interrelation between the amount of water added and the ability of plant. Two field experiments were carried out during the two growing seasons 2010/2011–2011/2012, at the Research Farm of the National Research Centre in Nubarya region, Egypt, to study the effect of both deficit irrigation and laser land leveling on saving water and increasing yield of wheat crop under Egyptian growing conditions. Studied factors were deficit irrigation (100% Irrigation Requirements "IR", 80%IR, 60%IR and 40%IR) and land leveling techniques (conventional "C" and laser "L"). The following parameters were studied to evaluate the effect of deficit irrigation and laser land leveling; (1) Soil moisture distribution, (2) Growth of wheat plant, (3) Yield of wheat , (4) Irrigation water use efficiency of wheat and (5) Economical parameters of wheat production process. Statistical analysis of the effect of the interaction between land leveling and irrigation on IWUE of wheat indicated that the maximum values were detected at adding 100%IR*L. However, no significant difference was observed between 100%IR*L >80%IR*L >and 60% IR*L, this means that we can save 40% of irrigation water by adding 60% IR with laser land leveling technique to irrigate wheat under sandy soil conditions.


Contribution/ Originality
This study contributes in the existing literature to improve water use efficiency of wheat under deficit irrigation conditions and rotational irrigation system by using laser land leveling techniques.

Development of a Mathematical Model for Angle of Soil Failure Plane in Case of 3-Dimenssional Cutting

Pages: 42-52
Find References

Finding References


Development of a Mathematical Model for Angle of Soil Failure Plane in Case of 3-Dimenssional Cutting

Search :
Google Scholor
Search :
Microsoft Academic Search
Cite

Citation: 5

Moayad B. Zaied , Mohammed H. Dahab , Ahmed M. El Naim

Export to    BibTeX   |   EndNote   |   RIS

  1. R. D. Grisso and J. V. Perumpral, "Review of models for predicting performance of narrow tillage tool," Transactions of the ASAE, vol. 28, pp. 1062-1067, 1985.
  2. K. Terzaghi, Theoretical soil mechanics. New York: Wiley, 1959.
  3. D. R. P. Hettiaratchi and A. R. Reece, "Symmetrical three-dimensional soil failure," J. Terramech, vol. 4, pp. 45–67, 1967.
  4. P. C. J. Payne, "The relationship between mechanical properties of soil and the performance of simple cultivation implements," J. Agric. Eng. Res., vol. 1, pp. 23–50, 1956.
  5. E. McKyes and O. S. Ali, "The cutting of soil by narrow blades," J. Terramech, vol. 14, pp. 43–58, 1977.
  6. W. C. Swick and J. V. Perumpral, "A model for predicting soil–tool interaction," J. Terramech, vol. 25, pp. 43–56, 1988.
  7. D. Zeng and Y. Yao, "A dynamic model for soil cutting by blade and tine," J. Terramech, vol. 29, pp. 317–327, 1992.
  8. J. Kuczewsk and E. Piotrowska, "An improved model for forces on narrow soil cutting tines," Soil Till. Res., vol. 46, pp. 231–239, 1998.
  9. F. A. Kheiralla, A. Yahia, M. Zohadie, and W. Ishak, "Modelling of power and energy requirements for tillage implements operating on serdang sandy clay loam, Malaysia," Soil Till. Res., vol. 78, pp. 21–34, 2004.
  10. M. Abo-Elnor, R. Hamilton, and J. T. Boyle, "Simulation of soil–blade interaction for sandy soil using advanced 3-D finite element analysis," Soil Till. Res., vol. 75, pp. 61–73, 2004.
  11. E. McKyes and J. Maswaure, "Effect of design parameters of flat tillage tools on loosening of clay soil," Soil Till. Res., vol. 43, pp. 195–204, 1997.
  12. S. O. Chung and K. A. Sudduth, "Soil failure models for vertically operating and horizontally operating strength sensor," Transactions of the ASABE, vol. 49, p. 851?863, 2006.
  13. L. L. Kasisira and H. L. M. DuPlessis, "Width Prediction of a side circular crescent failed by a tillage tool in a sandy clay loam soil," Agricultural Engineering International: The CIGR E Journal. Manuscript PM 1334, vol. 11, pp. 1-8, 2009.
  14. E. McKyes, Soil cutting and tillage. Developments in agricultural engineering 10. Agricultural engineering soil mechanics. Amsterdam: Elsevier Science Publishing Company Inc., 1989.
  15. J. Zhang and R. L. Kushwaha, "A modified model to predict soil cutting resistance," Soil Till. Res., vol. 34, pp. 157–168, 1995.
No any video found for this article.
Moayad B. Zaied , Mohammed H. Dahab , Ahmed M. El Naim (2014). Development of a Mathematical Model for Angle of Soil Failure Plane in Case of 3-Dimenssional Cutting. Current Research in Agricultural Sciences, 1(2): 42-52. DOI:
The interaction between tillage tools and soil is of a primary interest to the design and use of these tools for soil manipulation. A new explicit mathematical model to calculate the angle of soil failure plane when soil is cut with narrow tine was developed. Equations of Soil cohesion and soil adhesion cutting factors were partially differentiated with respect to angle of soil external friction, were maximized; Values of angle of soil failure plane were calculated by the model for tine rake angle range from 00 to 900 operated at 0.3 m depth and 0.15 m width in soils with different mechanical properties. It was found that angle of soil failure plane is acute and its values were used for calculating soil frictional cutting factor, soil overburden cutting factor, soil cohesion cutting factor, soil adhesion cutting factor, rupture distance, width of side crescent and soil resistance force. It was found that the force values were realistic. Therefore, the model is valid.


Contribution/ Originality

Awareness about E-Learning among Agricultural Research Scholars of Banaras Hindu University

Pages: 35-41
Find References

Finding References


Awareness about E-Learning among Agricultural Research Scholars of Banaras Hindu University

Search :
Google Scholor
Search :
Microsoft Academic Search
Cite

Shoji Lal Bairwa , Kerobim Lakra , Pradeep Joliya , Saket Kushwaha , Dheeraj Mishra

Export to    BibTeX   |   EndNote   |   RIS

  1. B. Hall, Web-based training cookbook: Everything you need to know about online training. NY: John Wiley & Sons, 1997.
  2. H. Singh and R. S. Mishra, "Effectiveness of E-learning: An experimental study," University News, vol. 47, pp. 20-21, 2010.
  3. G. A. Ajuwon, "Use of internet for health information by physicians for patient care in a teaching hospital in Ibadam," Nigeria. Bioned. Digital Libraries, vol. 3, pp. 12-21, 2008.
  4. D. Zhang, L. Zhou, and R. O. Briggs, "Instructional video in e-learning: Assessing the impact of interactive video on learning effectiveness," Information & Management, vol. 43, pp. 15-27, 2006.
  5. Y.-N. Ken, "E-learning awareness high but usage low in Japan," Available: http://whatjapanthinks.com/2008/04/03/e-learning-awareness-high-usage-low-in-japan/, 2008.
  6. K. Kinley, "Faculty and students awareness and challenges of e-learning in a college of education," Journal of the International Society for Teacher Education, vol. 14, pp. 27-33, 2010.
  7. S. L. Intodia, L. L. Somani, and J. P. Lakhera, "Performance of SRI and traditional paddy," Dictionary of Extension Education, vol. 65, pp. 114-146, 1993.
  8. N. M. Halbelch, "Investigating learner perceptions, preferences and adaptation of E-learning services in Egypt," presented at the 2005, International Conference on Education and Management Technology, 2005.
  9. H. Schnadelbach, B. Koleva, M. Flintham, M. Fraser, S. Izadi, P. Chandler, M. Foster, S. Benford, C. Greenhalgh, and T. Rodden, The augerscope: A mixed reality interface for outdoors. Minneapolis, Minnesota USA: Paper Presented at CHI’2002 Proc., 2002.
No any video found for this article.
Shoji Lal Bairwa , Kerobim Lakra , Pradeep Joliya , Saket Kushwaha , Dheeraj Mishra (2014). Awareness about E-Learning among Agricultural Research Scholars of Banaras Hindu University. Current Research in Agricultural Sciences, 1(2): 35-41. DOI:
The present study is emphasized on find out the awareness level and perception about e- learning among agricultural research scholars at Banaras Hindu University, Varanasi (Uttar Pradesh) India. This research study is based on the primary source of data which was collected from fifty respondents through structured questionnaire during the year 2013. Statistical tools such as frequency, percentage, and standard deviation were used to analyze the data for making interpretation. In this study, it was found that majority of respondents have a low awareness about e-learning whereby it accounted for 70 per cent of the respondents, 10 have moderate awareness about e-learning and only 20 per cent of the respondents have high awareness about e-learning. Overall awareness of respondents about e-learning tended to be low (M=1.44, SD=0.49, range=9-18). Thus, there is need that government should promote researches on the various aspects of e-learning and maintaining standard of e-learning resources by establishing national level standards of e-resources.
Contribution/ Originality