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

AGROCHEMICAL PROPERTIES OF LEACHED APPLE ORCHARD CHERNOZEM COMPARED TO THE NATURAL ANALOG OF THE LIPETSK REGION

2020 ◽  
Vol 18 (4) ◽  
pp. 72-77
Author(s):  
V.L. Zakharov ◽  
Keyword(s):  
Soil Properties ◽  
Apple Orchard ◽  
High Density ◽  
Row Spacing ◽  
Apple Orchards ◽  
Natural Analog ◽  
Agrochemical Properties ◽  
Changes In Soil Properties

The article is devoted to the study of changes in soil properties in Apple orchards. During the operation of Apple orchards, 2 zones are formed in the soil – trunk strips and row spacing. In the row spacing in the 10-40 cm layer, due to the high density of the soil, Apple roots do not consume nutrients, and in the same layer in the trunk strips, acidification and removal of phosphorus, potassium, humus and bases occur. The nitrification capacity of the soil in the trunk strips of the old Apple orchard is at the level of virgin areas and increases as the soil decompresses.

Soil properties of apple orchards on China's Loess Plateau

2020 ◽  
Vol 723 ◽  
pp. 138041 ◽  
Author(s):  
Min Yang ◽  
Shaofei Wang ◽  
Xining Zhao ◽  
Xiaodong Gao ◽  
Shuai Liu
Keyword(s):  
Soil Properties ◽  
Loess Plateau ◽  
Apple Orchards

scholarly journals Analysis of Chemical and Biological Soil Properties in Organically and Conventionally Fertilized Apple Orchards

2016 ◽  
Vol 05 (02) ◽  
pp. 92-99
Author(s):  
Takamitsu Kai ◽  
Masaki Mukai ◽  
Kiwako S. Araki ◽  
Dinesh Adhikari ◽  
Motoki Kubo
Keyword(s):  
Soil Properties ◽  
Apple Orchards

scholarly journals Relations among Boron Status and Some Soil Properties of Isparta Region Apple Orchards

2016 ◽  
Vol 20 (3) ◽  
pp. 421
Author(s):  
İbrahim ERDAL ◽  
Ali COŞKAN ◽  
Zeliha KÜÇÜKYUMUK ◽  
Figen ERASLAN
Keyword(s):  
Soil Properties ◽  
Apple Orchards

Quantifying spatial variability of soil properties in apple orchards of Kashmir, India, using geospatial techniques

2021 ◽  
Vol 14 (19) ◽  
Author(s):  
Shabir Ahmed Bangroo ◽  
Javid Ahmad Sofi ◽  
Mohammad Iqbal Bhat ◽  
Shabir Ahmad Mir ◽  
Tasneem Mubarak ◽  
...  
Keyword(s):  
Spatial Variability ◽  
Soil Properties ◽  
Apple Orchards ◽  
Geospatial Techniques

Zinc fertility of red delicious apple orchards and its association with soil properties in Tehsil Sanjavi, Balochistan

2021 ◽  
Vol 54 (3) ◽  
Author(s):  
Syed Rehan Freed ◽  
Mehrunisa Memon ◽  
Saleem Maseeh Bhatti ◽  
Muhammad Ibrahim Keerio
Keyword(s):  
Soil Properties ◽  
Apple Orchards

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.

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