scholarly journals The effect of weed management methods on gramineous particularly Digitaria ciliaris coverage ratio in paddy levees

2021 ◽  
Vol 66 (1) ◽  
pp. 16-21
Author(s):  
Daisuke Iwata ◽  
Masuhiro Ishimoto ◽  
Yoshihiko Takahashi
EDIS ◽  
2020 ◽  
Vol 2020 (3) ◽  
Author(s):  
Jason Ferrell ◽  
Gregory MacDonald ◽  
Pratap Devkota

Successful weed control in small grains involves using good management practices in all phases of production. In Florida, winter weeds compete with small grains for moisture, nutrients, and light, with the greatest amount of competition occurring during the first six to eight weeks after planting. Weeds also cause harvest problems the following spring when the small grain is mature. This 4-page publication discusses crop competition, knowing your weeds, and chemical control. Written by J. A. Ferrell, G. E. MacDonald, and P. Devkota, and published by the UF/IFAS Agronomy Department, revised May 2020.


EDIS ◽  
2020 ◽  
Vol 2020 (3) ◽  
Author(s):  
Pratap Devkota

Successful weed control in peanuts involves use of good management practices in all phases of peanut production. This 11-page document lists herbicide products registered for use in Florida peanut production, their mode of actions group, application rate per acre and per season, and reentry interval. It also discusses the performance of these herbicides on several weeds under Florida conditions. Written by J. A. Ferrell, G. E. MacDonald, and P. Devkota, and published by the UF/IFAS Agronomy Department, revised May 2020.


2016 ◽  
Vol 30 (4) ◽  
pp. 22
Author(s):  
Abhinandan Singh ◽  
Pankaj Kumar Ojha

GIS Business ◽  
2018 ◽  
Vol 13 (2) ◽  
pp. 29-47
Author(s):  
Vibha Tripathi

The study tries to investigate the key determinants of capital structure of leading automobile companies and the Automobile Industry in India. The study also tracks the theory implications, i.e. trade off vs. pecking order in these firms and the industry in general. An attempt is to see, if individually each sample company and the whole industry are influenced by the same determinants of capital structure. Pooled ordinary least squares and panel data econometric techniques such as fixed effect models are used to investigate the most significant determinants that affect the capital structure choice of 10 leading companies categorized as BSE Auto Top 100 and the Automobile Industry as a whole for a period of 14 years from 2000–2001 to 2013–2014. The study reveals some interesting facts and results. Multiple regression analysis reveals that while profitability and size are significant determinants in most of the leading companies; NDTS, Growth, and Debt service coverage ratio are not significant for these companies. While the Panel data results of the Automobile Industry as a whole reveals that profitability is the only significant determinant having negative relationship with debt equity ratio; and the other variables are insignificant. Also individual companies coefficient results shows implications of mix of pecking order and trade off theories while the panel data results of the whole Industry strongly supports the Pecking order theory.


2017 ◽  
Vol 23 (4) ◽  
pp. 387-396
Author(s):  
Shahen Shah ◽  
Arshad Jalal ◽  
Tariq Shah ◽  
Wisal Ahmad ◽  
Asad Ali Khan
Keyword(s):  

Author(s):  
Michael D. Owen ◽  
James F. Lux ◽  
Damian D. Franzenburg
Keyword(s):  

2014 ◽  
Author(s):  
Micheal D. K. Owen ◽  
Robert G. Hartzler
Keyword(s):  

Author(s):  
Michael D. Owen ◽  
James F. Lux ◽  
Damian D. Franzenburg
Keyword(s):  

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