Poultry and Green Manures Effects on Soil Properties, and Sorghum Performance, and Quality

2021 ◽  
pp. 1-15
Author(s):  
Aruna Olasekan Adekiya ◽  
Taiwo Michael Agbede ◽  
Christopher Muyiwa Aboyeji ◽  
Abiola Folakemi Olaniran ◽  
Charity Aremu ◽  
...  
Keyword(s):  
Soil Properties ◽  
Green Manures

Maize growth responses to soil microbes and soil properties after fertilization with different green manures

2016 ◽  
Vol 101 (3) ◽  
pp. 1289-1299 ◽  
Author(s):  
Jiemeng Tao ◽  
Xueduan Liu ◽  
Yili Liang ◽  
Jiaojiao Niu ◽  
Yunhua Xiao ◽  
...  
Keyword(s):  
Soil Properties ◽  
Soil Microbes ◽  
Growth Responses ◽  
Green Manures ◽  
Maize Growth

scholarly journals Green manures and NPK fertilizer effects on soil properties, growth, yield, mineral and vitamin C composition of okra (Abelmoschus esculentus (L.) Moench)

2019 ◽  
Vol 18 (2) ◽  
pp. 218-223 ◽  
Author(s):  
A.O. Adekiya ◽  
T.M. Agbede ◽  
C.M. Aboyeji ◽  
O. Dunsin ◽  
J.O. Ugbe
Keyword(s):  
Vitamin C ◽  
Soil Properties ◽  
Growth Yield ◽  
Abelmoschus Esculentus ◽  
Green Manures ◽  
Npk Fertilizer

The Benefits of Crop Rotation Including Cereals and Green Manures on Potato Yield and Nitrogen Nutrition and Soil Properties

2017 ◽  
Vol 05 (03) ◽  
Author(s):  
Adrien N Dayegamiye ◽  
Judith Nyiraneza ◽  
Michele Grenier ◽  
Marie Bipfubusa ◽  
Anne Drapeau
Keyword(s):  
Soil Properties ◽  
Crop Rotation ◽  
Nitrogen Nutrition ◽  
Potato Yield ◽  
Green Manures

EFFECTS OF GREEN MANURES AND NPK FERTILIZER ON SOIL PROPERTIES, TOMATO YIELD AND QUALITY IN THE FOREST-SAVANNA ECOLOGY OF NIGERIA

2018 ◽  
Vol 55 (5) ◽  
pp. 793-806 ◽  
Author(s):  
TAIWO M. AGBEDE ◽  
ARUNA O. ADEKIYA ◽  
MONDAY O. ALE ◽  
EHIOKHILEN K. EIFEDIYI ◽  
CHRISTY A. OLATUNJI
Keyword(s):  
Vitamin C ◽  
Soil Properties ◽  
Bulk Density ◽  
Soil Bulk Density ◽  
Fruit Yield ◽  
Green Manures ◽  
Tomato Fruits ◽  
Tomato Yield ◽  
Yield And Quality ◽  
Npk Fertilizer

SUMMARYGreen manures (GM) as an alternative to inorganic fertilizer offer considerable potential as a source of plant nutrients and organic matter (OM). Hence, field experiments were carried out during 2015 and 2016 cropping seasons to compare impacts of GM and NPK (15:15:15) fertilizer on soil properties, growth, fruit yield, mineral, lycopene and vitamin C contents of tomato (Lycopersicon esculentumMill). GMs were composed by green tender stems and leaves of pawpaw (Carica papayaL.), neem (Azadirachta indicaA. Juss.), moringa (Moringa oleiferaLam.) or gliricidia (Gliricidia sepium(Jacq.) Kunth ex Walp.) and applied at 5 Mg ha−1, whereas NPK was applied at 300 kg ha−1and there was a no fertilizer plot (control). Application of GMs reduced soil bulk density and increased soil OM, N, P, K, Ca, Mg, growth, number of fruits and fruit yield of tomato compared with the control. NPK fertilizer had no effect on soil bulk density and soil OM, but it increased soil fertility and tomato yield as compared with the control. When comparing treatments, the highest tomato yield and best cost:benefit ratio were obtained with gliricidia as GM. The GMs and NPK fertilizer increased mineral, lycopene and vitamin C contents in tomato fruits and the highest K, Ca, Fe, Zn, Cu, lycopene and vitamin C contents in tomato fruits were found with moringa as GM. Our results revealed that GM has potential to improve soil properties, tomato yield and quality, being an alternative for cropping management.

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
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