scholarly journals Weed Suppression by Deleterious Rhizobacteria is Affected by Formulation and Soil Properties

2005 ◽  
Vol 36 (9-10) ◽  
pp. 1289-1299 ◽  
Author(s):  
Robert E. Zdor ◽  
Carlene M. Alexander ◽  
Robert J. Kremer
Keyword(s):  
Soil Properties ◽  
Weed Suppression ◽  
Deleterious Rhizobacteria

Short-Term Impact of Monocultured and Mixed Cover Crops on Soil Properties, Weed Suppression, and Lettuce Yield

2021 ◽  
pp. 1-10
Author(s):  
Soghra Ghahremani ◽  
Ali Ebadi ◽  
Ahmad Tobeh ◽  
Masoud Hashemi ◽  
Mohammad Sedghi ◽  
...  
Keyword(s):  
Soil Properties ◽  
Cover Crops ◽  
Weed Suppression ◽  
Short Term ◽  
Lettuce Yield

Effect of Sunflower Residues and Herbicide on Weed Suppression, Grain Yield and Economics of Transplanted Aman Rice

2020 ◽  
Vol 23 (1) ◽  
pp. 47-58
Author(s):  
SS Tanu ◽  
P Biswas ◽  
S Ahmed ◽  
SC Samanta
Keyword(s):  
Grain Yield ◽  
Dry Matter ◽  
Block Design ◽  
Weed Suppression ◽  
Cost Ratio ◽  
Gross Margin ◽  
Weed Density ◽  
Benefit Cost Ratio ◽  
Hand Weeding ◽  
Environmentally Sound

A field experiment was conducted at Agronomy Field Laboratory, Patuakhali Science and Technology University, Dumki, Patuakhali from July 2018 to November 2018 to evaluate the effect of sunflower residues and herbicides on the yield and economic performance of transplanted Aman rice. Weed control methods tested were T1 = weedy check (Unweeded control), T2 = Weed-free check by hand weeding twice, T3 = Pendimethalin, T4 = Pretilachlor, T5 = Butachlor, T6 = Pyrazosulfuron ethyl, T7 = Bensulfuron methyl + Acetachlor, T8 = Bispyriback sodium, T9 = 2,4-D amine, T10 = MCPA, T11 = Sunflower residues, T12 = Sunflower residues + 100% Pyrazosulfuron ethyl, T13 = Sunflower residues + 75% Pyrazosulfuron ethyl, T14 = Sunflower residues + 50% Pyrazosulfuron ethyl. The experiment was laid out in a randomized complete block design with fourteen treatments replicated thrice. Weedy check registered significantly the highest total weed density (354.67 m-2) and total weed dry matter (51.81 g-2) while weed-free treatment by hand weeding twice recorded significantly the lowest total weed density (6.67 m-2) and total weed dry matter 0.49 g-2) . Weedy check produced the highest weed index (34.24%) and hand weeding produced the lowest. Among different herbicides applied alone, butachlor had the lowest total weed density (15 m-2) and total weed dry matter (6.43 g-2) after hand weeding. Hand weeding recorded the highest grain yield (5.14 t ha-1) which was statistically similar to pendimethalin, pretilachlor, butachlor, bensulfuron methyl + acetachlor and sunflower residues + 100% pyrazosulfuron ethyl. Higher grain yield was attributed to a higher number of panicle m-2, number of filled grains panicle-1 and 1000-grain weight. The highest gross margin (22955 Tk. ha-1) and benefit-cost ratio (1.32) were obtained from butachlor. Integration of sunflower residues with pyrazosulfuron ethyl produced effective weed suppression and satisfactory yield comparable to butachlor. Although the integration is less profitable than butachlor the farmers can use this technology as a feasible and environmentally sound approach in transplanted Aman rice field. Bangladesh Agron. J. 2020, 23(1): 47-58

Applying the Method of Lagrange Multipliers to Derive an Estimator for Unsampled Soil Properties

2014 ◽  
Vol 11 (1) ◽  
pp. 15
Author(s):  
Set Foong Ng ◽  
Pei Eng Ch’ng ◽  
Yee Ming Chew ◽  
Kok Shien Ng
Keyword(s):  
Soil Properties ◽  
Lagrange Multipliers ◽  
Unbiased Estimator ◽  
Soil Property ◽  
Minimum Variance ◽  
Distance Method ◽  
True Value ◽  
A Site ◽  
Method Of Lagrange Multipliers ◽  
Inverse Distance

Soil properties are very crucial for civil engineers to differentiate one type of soil from another and to predict its mechanical behavior. However, it is not practical to measure soil properties at all the locations at a site. In this paper, an estimator is derived to estimate the unknown values for soil properties from locations where soil samples were not collected. The estimator is obtained by combining the concept of the ‘Inverse Distance Method’ into the technique of ‘Kriging’. The method of Lagrange Multipliers is applied in this paper. It is shown that the estimator derived in this paper is an unbiased estimator. The partiality of the estimator with respect to the true value is zero. Hence, the estimated value will be equal to the true value of the soil property. It is also shown that the variance between the estimator and the soil property is minimised. Hence, the distribution of this unbiased estimator with minimum variance spreads the least from the true value. With this characteristic of minimum variance unbiased estimator, a high accuracy estimation of soil property could be obtained.

AVAILABLE WAYS TO OPTIMIZE SOIL PROPERTIES IN APPLE ORCHARDS

2020 ◽  
Vol 16 (2) ◽  
pp. 41-63
Author(s):  
V.L. Zakharov ◽  
◽  
G.N. Pugachev ◽  
Keyword(s):  
Soil Properties ◽  
Apple Orchards

Geospatial comparison of three models to predict soil properties in semi-humid region of West Bengal, India

2018 ◽  
Vol 32 (5) ◽  
pp. 37
Author(s):  
Rajaram Majhi ◽  
Gouri Sankar Bhunia ◽  
Tapan Kumar Das ◽  
Pravat Kumar Shit ◽  
Rabindranath Chattopadhyay
Keyword(s):  
Soil Properties ◽  
West Bengal ◽  
Humid Region

CORRELATION RELATIONS BETWEEN VALUABLE IRRIGATED SOIL PROPERTIES AND PLANT PRODUCTIVITY

2020 ◽  
Vol 5 (2) ◽  
pp. 37-42
Author(s):  
Inobat Ruzieva ◽  
◽  
Inobat Ruzieva ◽  
Islom Xaitov ◽  
Ulug`berdi Xursanov
Keyword(s):  
Soil Properties ◽  
Plant Productivity
Sign in / Sign up

Export Citation Format

Share Document