Assessing soil fertility of a laterite soil in relation to yield of arecanut (Areca catechu L.) in humid tropics of India

Geoderma ◽  
2012 ◽  
Vol 189-190 ◽  
pp. 91-97 ◽  
Author(s):  
Ravi Bhat ◽  
S. Sujatha ◽  
C.T. Jose
Keyword(s):  
Soil Fertility ◽  
Humid Tropics ◽  
Laterite Soil ◽  
Areca Catechu

Tackling black leaf streak disease and soil fertility constraints to enable the expansion of plantain production to grassland in the humid tropics

2012 ◽  
Vol 58 (2) ◽  
pp. 175-181 ◽  
Author(s):  
Lindsey Norgrove ◽  
J. Roberto Tueche ◽  
Kim S. Jacobsen ◽  
Alphonse Nkakwa Attey ◽  
Keith Holmes
Keyword(s):  
Soil Fertility ◽  
Humid Tropics ◽  
Black Leaf Streak ◽  
Black Leaf Streak Disease

Trees in Alley Cropping: Competitors or Soil Improvers?

1994 ◽  
Vol 23 (1) ◽  
pp. 27-32 ◽  
Author(s):  
Jeremy P. Haggar
Keyword(s):  
Soil Fertility ◽  
Agricultural Production ◽  
Crop Production ◽  
Alley Cropping ◽  
Cropping Systems ◽  
Agroforestry System ◽  
Humid Tropics ◽  
Substantial Evidence ◽  
Soil Improvers ◽  
Improved Design

Agroforestry has a high potential to sustain agricultural production in the humid tropics. One specific type of agroforestry, alley cropping, has received much attention as a means of producing staple food crops within an agroforestry system. There is now substantial evidence that alley cropping maintains soil fertility above levels found in pure annual cropping systems. Nevertheless, competition between the trees and crops can significantly reduce yields by the crop. A model is presented of how the balance between the improved soil fertility in alley cropping and competition from the trees determines the final crop performance. Better understanding of the factors that determine crop yield will enable improved design and management of alley cropping systems, and may allow alley cropping to become a more reliable means of improving crop production.

K-MEANS CLUSTERING ALGORITHM BASED CLASSIFICATION OF SOIL FERTILITY IN NORTH WEST NIGERIA

2020 ◽  
Vol 4 (2) ◽  
pp. 780-787
Author(s):  
Ibrahim Hassan Hayatu ◽  
Abdullahi Mohammed ◽  
Barroon Ahmad Isma’eel ◽  
Sahabi Yusuf Ali
Keyword(s):  
Soil Fertility ◽  
Crop Yield ◽  
Clustering Algorithm ◽  
Soil Samples ◽  
North West ◽  
R Programming ◽  
Available Information ◽  
Northwest Region ◽  
The Relationship

Soil fertility determines a plant's development process that guarantees food sufficiency and the security of lives and properties through bumper harvests. The fertility of soil varies according to regions, thereby determining the type of crops to be planted. However, there is no repository or any source of information about the fertility of the soil in any region in Nigeria especially the Northwest of the country. The only available information is soil samples with their attributes which gives little or no information to the average farmer. This has affected crop yield in all the regions, more particularly the Northwest region, thus resulting in lower food production.  Therefore, this study is aimed at classifying soil data based on their fertility in the Northwest region of Nigeria using R programming. Data were obtained from the department of soil science from Ahmadu Bello University, Zaria. The data contain 400 soil samples containing 13 attributes. The relationship between soil attributes was observed based on the data. K-means clustering algorithm was employed in analyzing soil fertility clusters. Four clusters were identified with cluster 1 having the highest fertility, followed by 2 and the fertility decreases with an increasing number of clusters. The identification of the most fertile clusters will guide farmers on where best to concentrate on when planting their crops in order to improve productivity and crop yield.

COUNTING TOTAL BACTERIA IN LAND ORGANIC WASTE HOUSEHOLD AND LAND INORGANIC WITH TOTAL PLATE COUNT METHOD (TPC)

2017 ◽  
Vol 4 (2) ◽  
pp. 87-91
Author(s):  
Ekamaida Ekamaida
Keyword(s):  
Soil Fertility ◽  
Bacterial Population ◽  
Organic Soil ◽  
Biological Properties ◽  
Plate Count ◽  
Bacterial Populations ◽  
Fertility Data ◽  
Plate Count Method ◽  
The Mean ◽  
Total Bacteria

The soil fertility aspect is characterized by the good biological properties of the soil. One important element of the soil biological properties is the bacterial population present in it. This research was conducted in the laboratory of Microbiology University of Malikussaleh in the May until June 2016. This study aims to determine the number of bacterial populations in soil organic and inorganic so that can be used as an indicator to know the level of soil fertility. Data analysis was done by T-Test that is by comparing the mean of observation parameter to each soil sample. The sampling method used is a composite method, which combines 9 of soil samples taken from 9 sample points on the same plot diagonally both on organic soil and inorganic soil. The results showed the highest bacterial population was found in total organic soil cfu 180500000 and total inorganic soil cfu 62.500.000

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