Agricultural Intensification and Soil Fertility in Atlantic Spain, 1750–1890

2021 ◽  
pp. 1-24
Author(s):  
Beatriz Corbacho González ◽  
Roc Padró Caminal

Abstract This article describes the intensification process of agriculture and its environmental limits regarding soil fertility in the rural community of Fonsagrada, in the inner region of Galicia in northwestern Spain. It addresses changes in land use, crops, and agricultural productivity between 1750 and 1890, framed within the theory of social metabolism and based on the method of nutrient balances. That technique measures nitrogen, phosphorus, and potassium flows across the landscape within a given agro-ecosystem to assess its biophysical functioning and to detect environmental constraints related to management. The intensification of cropland resulted in net losses of potassium in outlying rough grazing land and hay meadows that served as the sources of cropland nutrients. Agricultural intensification was possible due to the close stabling of livestock, which allowed for more manure availability. Doing so, however, deprived pastureland of nutrient recover through manure deposition, which created a metabolic rift in the agro-ecosystem.

2019 ◽  
Vol 11 (5) ◽  
pp. 142
Author(s):  
Rodrigo T. M. Miyake ◽  
William H. S. Takata ◽  
Nobuyoshi Narita ◽  
José E. Creste

The research had as objective to study the influence of the doses of nitrogen, phosphorus and potassium on soil fertility and nutritional status of yellow passion fruit plants. The experimental design was in randomized blocks in an incomplete fractioned factorial 1/2 (4 × 4 × 4), with four doses of N (150, 300, 600 and 1200 Kg-1 ha-1 yr-1 N); four doses of P2O5 (200, 400, 800 and 1600 kg-1 ha-1 yr-1) and four doses of K2O (100, 300, 500 and 700 kg-1 ha-1 yr-1). The fertilizers used were the ammonium nitrate = 32% N; triple superphosphate = 44% P2O5 and potassium chloride = 60% K2O. In the fertility of the nitrogen fertilization increased the content of phosphorus and sulfur. The doses of P2O5 increased the concentration of P in the soil. The doses of K2O influenced the increase in the content of K in the soil in the harvest 2013/2014. There was an interaction of the doses of N and K2O in the availability of K in the soil in the harvest 2012/13 with the maximum levels of K, in the doses of 200-400 kg N ha-1 and 600 to 700 kg ha-1 of K2O. In the nutritional state the yellow passion fruit plants was influenced by the doses of N for the sulfur content of the leaves. The maximum content of S leaf concentration of 3.63 g kg-1 was obtained in the dose estimated at 1120 kg ha-1 of P2O5.


2021 ◽  
Vol 29 ◽  
pp. 16-26
Author(s):  
Y. BANDUROVICH ◽  
A.V. FANDALІUK ◽  
V.O. ROMANKO

According to the results of the research, an agrochemical assessment of the soils of agricultural lands of Mukachevo district was carried out. It is proved that more than half of the area in Mukachevo district (63.4%) belongs to acid soils. It was found that the weighted average humus index is 2.48%, which corresponds to the average level. The weighted average indicators of the content of mobile compounds of nitrogen, phosphorus and potassium are determined. According to the agrochemical condition of agricultural lands of Mukachevo district for the period from 2008 to 2018, it was found that the level of soil fertility has changed somewhat in the direction of improvement. This is especially true of the content of mobile compounds of phosphorus and potassium. Keywords: agrochemical survey of soils, acidity, humus content, mobile compounds of nitrogen, phosphorus and potassium.


2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
G. O. Ogunleye ◽  
S. G. Fashoto ◽  
Petros Mashwama ◽  
S. A. Arekete ◽  
O. M. Olaniyan ◽  
...  

The soil is composed of several nutrients which are important for the effective growth of plants. Nitrogen, phosphorus, and potassium are micronutrients which are very important for plant growth. There have been several methods and soil tests developed to test the compositions of these nutrients in the soil. Interpreting the results gotten from such tests has been a herculean task for farmers. Employing the use of a soft computing method to interpret such result would be a noble idea. In this paper, we describe the use of fuzzy logic to interpret the values of nitrogen, phosphorus, and potassium (NPK) gotten from conventional soil test to know their levels in the soil and predict possible NPK inputs.


Agriculture ◽  
2019 ◽  
Vol 9 (9) ◽  
pp. 198
Author(s):  
Meike Boob ◽  
Martin Elsaesser ◽  
Ulrich Thumm ◽  
Jens Hartung ◽  
Iris Lewandowski

Species-rich hay meadows are usually managed extensively to maintain their biodiversity, with the harvested biomass traditionally being fed to ruminants for milk or meat production. The quality of the biomass is, however, variable, difficult to predict and often does not fulfil today’s requirements. This study established a field trial at two species-rich hay meadows to investigate the combined effect of fertilisation (none, phosphorus and potassium (PK), nitrogen, phosphorus and potassium (NPK)) and date of first cut (at different phenological stages) on biomass quality and quantity. In addition, the most suitable uses of the biomass were explored, including the alternatives biogas and combustion. After four years of the field trial, the stage of maturity at the time of first cut had a greater influence than extensive fertilisation on biomass quality. Dry matter yield (DMY) of the first cut was about 40%–60% of annual DMY (53.99 ± 12.51 dt ha−1 a−1) depending on site, fertilisation and harvest time. Fertilisation had a stronger effect than harvest time on DMY and annual methane yield. In most cases, there was no significant difference in chemical composition between biomass harvested at the end of the grass-flowering stage and at the seed-ripening stage. Thus, a late cut for hay proved to be the most flexible option.


Author(s):  
Varshitha D N ◽  
Savita Choudhary

Agriculture is the main occupation of India and more than 50% of people are dependent on agriculture. Research on agriculture will strengthen the economic growth of the country. Technologies play a vital role to bolster the agriculture. Since soil is the main fount of agriculture , there is a need for significant approach to help the farmer to test and monitor the soil and its properties ,which will boost the fertility of the soil thereby intensifying the crop growth, also if crop recommendations are imparted to farmers in a proper way, crop yield can be enhanced to meet the growing demand for the food. Proper awareness on soil will benefit the farmers to grow the right and healthy crop. To overcome the disadvantages of traditional soil testing practices we are proposing an approach which has Deep learning, an artificial intelligence(AI) technique and IOT features . This helps in getting fast and accurate result. Soil fertility can be calculated by parameters like pH level, temperature, Moisture content of the soil,temperature, humidity and NPK(nitrogen, phosphorus, and potassium) ,organic matter, carbon level. Weather and Climatic conditions along with the soil parameters will help to evaluate the soil fertility. The lacking nutrients in the soil and needed nutrients/fertilizers to boost the soil fertility can be suggested to the farmers and also the crops which can be suitably grown from the given soil sample and nutrients required for all the recommended crops to enhance the yield can be suggested to the farmers.


2010 ◽  
Vol 36 (4) ◽  
pp. 655-664 ◽  
Author(s):  
Yong-Jian SUN ◽  
Yuan-Yuan SUN ◽  
Xu-Yi LI ◽  
Rong-Ping ZHANG ◽  
Xiang GUO ◽  
...  

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