Effect of field levelling quality on irrigation efficiency and crop yield

Agarwal, M. C.; Goel, A. K.

doi:10.1016/0378-3774(81)90033-0

Cited by 25 publications

(8 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…So, better land levelling methods / technology to achieve more precision and quality of levelling to reduce spatial variability of topographic conditions and crop growth and yields. This is in agreement with the findings of Agarwal and Goel (1981) B. Spatial variability of average grid-wise plant heights of Rabi sorghum: The results got from the study with respect to grid-wise plant heights of Rabi sorghum (m) in experimental plot are presented in Table 3. The contour maps for grid-wise plant height were shown in Fig.…”

Section: A Spatial Variability Of Topographic Conditions Of the Fieldsupporting

confidence: 90%

Effect of Field Topographic Conditions on Plant Height of Rabi Sorghum in Vertisols

Kanannavar¹,

Punitha²,

Shanawad³

2020

Int.J.Curr.Microbiol.App.Sci

View full text Add to dashboard Cite

Section: A Spatial Variability Of Topographic Conditions Of the Fieldsupporting

confidence: 90%

Effect of Field Topographic Conditions on Plant Height of Rabi Sorghum in Vertisols

Kanannavar¹,

Punitha²,

Shanawad³

2020

Int.J.Curr.Microbiol.App.Sci

View full text Add to dashboard Cite

“…Leveling index (LI) and land uniformity coefficient (LUC) were calculated and examined to assess the smoothness of the land surface. LI was taken as the average numerical variation between the proposed or designed levels and the existing average field level (Agarwal and Goel, 1981) as follows:…”

Section: Establishment Of Gaps Between the Existing And Appropriate Smentioning

confidence: 99%

Enhancement of field water use efficiency in the Indo-Gangetic Plain of India

Rajput

Patel

2005

Irrig. and Drain.

View full text Add to dashboard Cite

With a view to enhancing water use efficiency on farmers' fields in the Indo-Gangetic Plain (IGP), a research project was taken up with the involvement of the farmers through the participatory rural appraisal (PRA) technique. Based on PRA and field observations of different cultural practices, gaps between the existing and appropriate water management technologies were established. Suitable interventions were made to fill the gaps and to enhance water use efficiency at field level. The interventions included laser leveling, renovation of watercourses, determination of optimal sowing dates for wheat using CropWat software, use of irrischeduler, a device developed for irrigation scheduling, as well as demonstrations and training to farmers. The rice-wheat cropping system occupies 9.69 million ha in the IGP, with wheat production of 37.8 million t at an average productivity of 3.9 t ha À1 . The proposed interventions indicate possibilities of enhancing wheat yield by at least 25%, making it 47.25 million t in the whole IGP and can also help in saving of a minimum of 30.0% (1.45 million ha-m) of irrigation water.

show abstract

“…Land leveling or land forming is a form of soil disturbance that alters soil physical properties to facilitate more uniform distribution of irrigation water and is essential in improving the efficiency of surface irrigation as well as in removing excess water from the field surface [1]. Land leveling is very important in surface irrigation systems, because field surface is main transfer for water movement.…”

Section: Introductionmentioning

confidence: 99%

A Simple Method for Land Grading Computations and its Comparison with Genetic Algorithm (GA) Method

2017

International Journal of Research Studies in Agricultural Scien

View full text Add to dashboard Cite

This paper reports the development of a new method for land grading computation having time saving and simplicity advantages. The conventional method uses the trial and error process to determine the desired cut-fill ratio, which is cumbersome and time-consuming. In developed method, the trial and error process is not necessary. Instead, the Excel Solver was applied to determine the plane equation of land grading, and minimize the earthwork volume based on a desirable cut-fill ratio. Then, results of the new method for three data sets were compared with the conventional and genetic algorithm (GA) methods. In all of the data sets, results of the new method were better than two other methods. The cut-to-fill ratio and cut volume were less in new method than others.

show abstract

Effect of field levelling quality on irrigation efficiency and crop yield

Cited by 25 publications

References 5 publications

Effect of Field Topographic Conditions on Plant Height of Rabi Sorghum in Vertisols

Effect of Field Topographic Conditions on Plant Height of Rabi Sorghum in Vertisols

Enhancement of field water use efficiency in the Indo-Gangetic Plain of India

A Simple Method for Land Grading Computations and its Comparison with Genetic Algorithm (GA) Method

Contact Info

Product

Resources

About