Научная статья на тему 'The influence of global warming on the productivity and quality of cow's milk'

The influence of global warming on the productivity and quality of cow's milk Текст научной статьи по специальности «Животноводство и молочное дело»

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Ключевые слова
weather / temperature rise / milk / productivity / energy value

Аннотация научной статьи по животноводству и молочному делу, автор научной работы — O.O. Borshch

The objective of this research was to analyze the dynamics of productivity, quality composition and energy value of cow's milk obtained during three periods (3 years each) in central Ukraine by various technological housing variants. Over the last 20 years, there has been a global trend towards of increasing in the average annual temperature, which is especially felt in winter and affects to the cattle body, their productivity and the energy value of milk. To more effectively overcome the consequences of changing weather conditions, various continentally-achieved spatial composition and types of facility for livestock housing are used, the impact of which is not sufficiently studied. We analyzed the main weather indicators for the last decade in the central part of the ForestSteppe of Ukraine (Kyiv region). The time period from 2011 to 2019 was conditionally divided into three periods (3 years each): I moderate, whose main weather indicators corresponded to the average long-term (30 years) values inherent in this natural and climatic zone; II (with a deviation of +0.6 °C from normal values) and III (with a deviation of +0.9 °C from normal values). During cubicle housing in low cost facilities was observed that productivity increased by 0.19 and 0.97 kg in II and III periods compared to I. During cubicle housing in facilities with insulation systems productivity gradually increased by 0.47 kg during II periods and by 0.92 kg during III periods. The most uniform productivity indicators were observed by housing on a deep litter among low cost facilities. Thus, productivity increased by 0.24 kg during II periods period, and in III period it increased by 0.47 kg compared to the I period. The dynamics of average daily productivity have a slightly more uniform by housing in capital facilities compared to low cost facilities. During tie housing productivity increased by 0.18 kg in II periods, and in III periods it increased by 0.32 kg. Productivity increased by 0.19 and 0.43 kg in reconstructed capital facilities during II and III periods.

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Текст научной работы на тему «The influence of global warming on the productivity and quality of cow's milk»

Ukrainian Journal of

Veterinary and Agricultural Sciences!

http://uivas.com.ua

Stepan Gzhytskyi National University of Veterinary Medicine and Biotechnologies Lviv

original article | UDC 502:637.1 doi: 10.32718/ujvas4-3.04

Volume 4 Number 3

The influence of global warming on the productivity and quality of cow's milk

O. O. Borshch

Bila Tserkva National Agrarian University, pl. Soborna, 8/1, Bila Tserkva 09117, Ukraine

Article info Received 07.07.2021 Received in revised form 12.08.2021 Accepted 13.08.2021

Correspondence author Oleksandr Borshch Tel.: +380994770982 E-mail: [email protected]

2021 Borshch O. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Contents

1. Introduction................. .. 22

2. Materials and methods .... .. 23

3. Results and discussion .... .. 23

4. Conclusions................ .. 26

References ....... .. 26

Abstract

The objective of this research was to analyze the dynamics of productivity, quality composition and energy value of cow's milk obtained during three periods (3 years each) in central Ukraine by various technological housing variants. Over the last 20 years, there has been a global trend towards of increasing in the average annual temperature, which is especially felt in winter and affects to the cattle body, their productivity and the energy value of milk. To more effectively overcome the consequences of changing weather conditions, various continentally-achieved spatial composition and types of facility for livestock housing are used, the impact of which is not sufficiently studied. We analyzed the main weather indicators for the last decade in the central part of the Forest-Steppe of Ukraine (Kyiv region). The time period from 2011 to 2019 was conditionally divided into three periods (3 years each): I moderate, whose main weather indicators corresponded to the average long-term (30 years) values inherent in this natural and climatic zone; II (with a deviation of +0.6 °C from normal values) and III (with a deviation of +0.9 °C from normal values). During cubicle housing in low cost facilities was observed that productivity increased by 0.19 and 0.97 kg in II and III periods compared to I. During cubicle housing in facilities with insulation systems productivity gradually increased by 0.47 kg during II periods and by 0.92 kg during III periods. The most uniform productivity indicators were observed by housing on a deep litter among low cost facilities. Thus, productivity increased by 0.24 kg during II periods period, and in III period it increased by 0.47 kg compared to the I period. The dynamics of average daily productivity have a slightly more uniform by housing in capital facilities compared to low cost facilities. During tie housing productivity increased by 0.18 kg in II periods, and in III periods it increased by 0.32 kg. Productivity increased by 0.19 and 0.43 kg in reconstructed capital facilities during II and III periods.

Keywords: weather, temperature rise, milk, productivity, energy value.

Citation:

Borshch, O. O. (2021). The influence of global wanning on the productivity and quality of cow's milk. Ukrainian Journal of Veterinary and Agricultural Sciences, 4(3), 22-27. V.......................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................J

1. Introduction

In the last decade, the trend towards global warming has continued, which is already significantly felt at the regional and local levels (WMO, 2017). For European countries, temperatures are projected to rise in all seasons in the next decade (Kjellstrom et al., 2018). Regional climate models predict severe warming in most northeastern Europe, particularly in winter and in southern and southwestern Europe in summer (Hempel et al., 2019). Along with an increase in the average annual temperature, the indicators of relative humidity, amount of precipitation, and the direction and strength of the wind change. Seasonal shifts and changes in the frequency and intensity of weather indicators affect most economic phenomena in the agricultural sector (Nardone et al., 2010). Agricultural sectors such as crop production, animal husbandry, fisheries, aquaculture, and forestry are expected to account for approximately 26 % of all damage and losses related to climate and weather disasters (FAO, 2017). So far, much research on the impact

of climate change on agricultural production has focused mainly on land use or crop yield rates (Dosio et al., 2016; Borshch et al., 2017).

The impact of climate change on livestock production is becoming increasingly urgent and relevant (Angrecka & Herbut, 2015; Borshch et al., 2021a; Borshch et al., 2021b). Unfavorable climatic conditions for farm animals lead to deterioration of health, growth, and development, reduced productivity and product quality, reproductive characteristics, the metabolic state of animals, and their resistance (Ruban et al., 2017; Ruban et al., 2020). The term climatic stress (i.e., heat stress and cold stress) refers to the metabolic changes in farm animals when trying to adapt to changing meteorological conditions. This includes physiological and behavioral changes (Borshch et al., 2019; Borshch et al., 2020a). This can be caused by various combinations of airspeed, temperature, humidity, atmospheric pressure, and insolation (Silanikove & Koluman, 2015).

The effects of cold temperatures on the body have mainly been studied in cattle or dairy cows under year-round pasture conditions. However, low temperatures also have a negative impact on the cows' bodies by housing in the facility. Cold weather affects the physiological characteristics and behavior of cattle (Vitt et al., 2017). The sympathetic nervous system triggers three main physiological responses to cold stress: the first is increased metabolic heat production, the second is increased heart rate, and the third is free fatty acids mobilization for metabolism (Graunke et al., 2011; Fodor et al., 2018). During cold periods, cows increased their metabolic activity to release heat to maintain their body temperature. As a result, the energy requirement for basic metabolism increases, and accordingly to the amount of energy for other processes, such as milk production and sexual activity, are reduced (Galan et al., 2018).

One of the main measures that improve animals' welfare in stressful climatic conditions is to improve the conditions of animals' housing at different times of the year. The importance of overcoming climatic stress and its consequences have various planning, structural and technical solutions of premises and facilities for cattle housing. The use of light curtains (with elements of insulation in winter), ventilation light ridge, open feedlots with shelters, irrigation and ventilation systems, dual-chamber waterbeds for cow rest, facilities with cross-ventilation systems, and sandwich roofs panel reduce climatic stress and allow to stabilize the cow's productivity and increase the duration of their resting time (Vitt et al., 2017).

This research aimed to analyze the dynamics of productivity, quality composition, and energy value of cow's milk obtained during three periods (3 years each) in central Ukraine by various technological housing variants.

2. Materials and methods

Kyiv region of Ukraine is located in the temperate zone and belongs to the central part of the forest-steppe natural and climatic zone. The climate is continental with four distinct seasons. The winter weather varies from an average daily temperature of +4 to -18 °C. This range is due to frequent changes in the types of air masses. Tropical air masses provide warm and dry weather in winter, while arctic air masses provide prolonged low temperatures, sometimes with significant precipitation in the form of snow. We analyzed the main weather indicators for the last decade in the central part of the Forest-Steppe of Ukraine (Kyiv region). The time period from 2011 to 2019 was conditionally divided into three periods (3 years each): I moderate, whose main weather indicators corresponded to the average long-term (30 years) values inherent in this natural and climatic zone; II (with a deviation of +0.6 °C from normal values) and III (with a deviation of +0.9 °C from normal values).

The material for research were farms selected in Bila Tserkva districts of Kyiv region with various planning solutions and variants for cows housing: low-cost facility by cubicle housing, low-cost facility with elements of heat

insulation of side curtain systems by cubicle housing, low-cost facility on deep litter housing, capital brick facilities by tie housing and capital reconstructed by loose box housing.

The research was conducted on all dairy cows of farms. The farms housed Holstein cows, Ukrainian black-spotted and red-spotted breeds. The average monthly and annual productivity indicators per herd were recorded based on the results of milk yield accounting. Indicators of the mass fat fraction, protein, and lactose were determined from the average monthly data.

The net energy content (NEL) of milk was estimated by means of the following equation, derived from that proposed by the NRC (Nutrient Requirements of Dairy Cattle) (NRC, 2001):

NEL = 0.0929 X f«t,% + 0.0547 x protein, % H- 0.0395 x lactose^,

where NEL is the gross energy of one kg of milk.

The NEL values obtained were converted to MJ kg-1.

Indicators of the average daily air temperature were determined according to the Ukrainian hydrometeorological center. The equivalent quantity of electricity was calculated by dividing the energy value of milk by the transfer coefficient of 12 MJ and the quantity of liquid fuel by 79.5 MJ (PoFova, 2013).

The obtained data were statistically processed using Statistica 11.0 software. The Student's /-test was used to estimate the statistical significance of the obtained values. We considered our data were marginally significant, significant, and highly significant as P < 0.05, 0.01, and 0.001.

3. Results and discussion

Along with the genetic and phenotypic features of cattle breeding, weather conditions are also important, the influence of which is directly related to housing and determines further productive, reproductive and bioenergetic characteristics of animals. Therefore, it is important to study productivity, quality composition and energy value of milk, depending on weather conditions in different seasons.

According to Table 1, the relationship between the average daily productivity of cows, the method of housing and the air temperature is traced. During cubicle housing in low cost facilities was observed that productivity increased by 0.19 and 0.97 kg in II and III periods compared to I. During cubicle housing in facilities with insulation systems productivity gradually increased by 0.47 kg during II periods and by 0.92 kg during III periods. The most uniform productivity indicators were observed by housing on a deep litter among low cost facilities. Thus, productivity increased by 0.24 kg during II periods period, and in III period it increased by 0.47 kg compared to the I period. The dynamics of average daily productivity have a slightly more uniform by housing in capital facilities compared to low cost facilities. During tie housing productivity increased by 0.18 kg in II periods, and in III periods it increased by 0.32 kg. Productivity increased by 0.19 and 0.43 kg in reconstructed capital facilities during II and III periods.

Table 1

The average daily productivity during during research periods, kg/head

Type of facilities and housing variants

Weather periods

II

Ill

(+0.6 °C from normal values)_(+0.9 °C from normal values)

Low cost facilities:

- cubicle housing (n = 421)

- cubicle housing with insulation systems (n = 297)

- on a deep straw litter (n = 434) Capital facilities:

- tie housing (n = 82)

- reconstructed facilitiesy for loose housing (n = 78)

26.57 ± 0.16

26.82 ± 0.15 22.55 ± 0.26 21.64 ± 0.09

22.45 ± 0.13

26.76 ± 0.18

27.29 ± 0.12* 22.79 ± 0.29 21.82 ± 0.09

22.64 ± 0.14*

27.54 ± 0.18**

27.74 ± 0.09** 23.02 ± 0.32 21.96 ± 0.13*

22.88 ± 0.14*

Notes: *P < 0.05; **P < 0.01; ***P < 0.001 as compared with I period

It is established that the use of air temperature cooling and insulation of the premises affected the content of mass fraction of fat in milk (table. 2). A decrease in the mass fraction of fat in milk was observed from 3.96 % in I period to 3.94 % and 3.93 % in II and III ones by cubicle housing. When boxing cows in easily assembled premises with cooling elements, an increase in the mass fraction of fat in milk was observed from 3.96 % in the first period to 3.98 % in the third period.The indicator of milk fat synthesis increased by 8.24 and 48.10 kg/head during II and III periods. During boxing in rooms with insulation systems, the mass fraction of fat in cow's milk increased in the II and III periods (by 0.06 and 0.09 %), and fat synthesis increased by 38.41 and 67.43 kg/head, respectively, compared to I period. When cows were kept in deep straw litter, the mass

fraction of fat in milk gradually decreased - from 4.20 % in the first period to 4.18 % in the third period. The synthesis of milk fat increased by 8.54 and 16.57 kg/head. When keeping cows in capital premises on a leash and in the period from april to october on feedlots without shades, the fat content in milk decreased by 0.02 and 0.03 % in the II and III periods, and fat synthesis increased by 7.85 and 11.35 kg/head compared to the I period. As for the option of keeping cows in a capital room reconstructed for loose housing and in the period from april to october on feedlot with shades, in this combination during the experimental periods, the mass fraction of fat in milk was at the same level. The yield of milk fat increased in the II and III periods by 8.07 and 18.26 kg/head compared to the I period.

Table 2

The average mass fraction of fat in cow's milk (%) and its synthesis during research periods, kg/head

Type of facilities and housing variants

Weather periods

II

III

(+0.6 °C from normal values)_(+0.9 °C from normal values)

% fat fat synthesis % fat fat synthesis % fat fat synthesis

3.96 ± 0.02 1152.12 ± 6.94 3.96 ± 0.01 1160.36 ± 8.03 3.98 ± 0.02 1200.22 ± 10.04***

3.98 ± 0.02 1168.84 ± 10.88 4.04 ± 0.03 1207.25 ± 11.94* 4.07 ± 0.03* 1236.27 ± 11.93***

4.20 ± 0.07 1037.07 ± 5.89 4.19 ± 0.07 1045.61 ± 6.90 4.18 ± 0.06 1053.64 ± 6.94

3.87 ± 0.03 912.02 ± 6.65 3.85 ± 0.03 919.87 ± 7.70 3.84 ± 0.02 923.37 ± 6.74

3.88 ± 0.04 953.81 ± 9.59 3.88 ± 0.04 961.88 ± 8.64 3.88 ± 0.03 972.07 ± 10.06

Low cost facilities:

- cubicle housing (n = 421)

- cubicle housing with insulation systems (n = 297)

- on a deep straw litter (n = 434)

Capital facilities:

- tie housing (n = 82)

- reconstructed facilitiesy for loose housing (n = 78)

Notes: *P < 0.05; **P < 0.01; ***P < 0.001 as compared with with I period

There was a tendency to reduce the mass fraction of protein in milk by all housing variants during II and III periods compared to I period (table 3). The maximum decrease in the mass fraction of protein was 0.02 % by cubicle housing in low cost housing facilities and on deep litter and in capital facilities by tie housing, in compared to the I period. The decrease in the mass fraction of protein was 0.01 % by cubicle housing with insulation systems and in reconstructed capital facility. Concerning that milk protein synthesis gradually increased by all housing variants in II and III periods. Milk protein synthesis increased by 3.79 and 28.27 kg/head for cubicle housing with insulation elements. Smallest increase in the mass fraction of protein in cow's milk was observed by housing on a deep litter in

compared to the other housing variants in low cost facilities. Thus, protein synthesis increased by 8.80 kg/head during II period, and during III period by 12.20 kg/head compared to I period.

Protein synthesis in cow's milk increased by 1.63 and 3.42 kg/head by tie housing in capital facilities, and by 4.24 and 12.70 kg/head in reconstructed facilities by loose housing.

The mass fraction of lactose in cow's milk decreased by 0.01 or 0.02 % by all housing variants during II and III period, compared to I period (table 4). Only by loose cows housing in capital reconstructed facilities, the dynamics of lactose level in their milk was reversed, and during III period the mass fraction of lactose was 0.01 % higher than

I

I

in I and II periods. Lactose synthesis increased by 6.30 and 41.12 kg/head for cows housing in low cost facilities, and by 22.85 and 41.69 kg for cows housing in low cost facilities with insulation systems during II and III periods, compared to I period. Lactose synthesis increased by 8.86 and

20.02 kg/head for cattle housing on deep litter in compared to I period. During this period, an increase the lactose synthesis was also observed by 6.26 and 12.98 kg/head for tie housing in capital facilities, and in compared to I period by 9.20 and 23.32 kg/head for loose housing.

Table 3

The average mass fraction of protein in cow's milk (%) and its synthesis during research period, kg/head

Weather periods

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Type of facilities and housing variants

II

III

% protein

protein synthesis

(+0.6 °C from normal values) (+0.9 °C from normal values) % protein protein synthesis % protein protein synthesis

Low cost facilities: - cubicle housing (n = 421) 3.23 ± 0.005 939.74 ± 6.77 3.22 ± 0.005 943.53 ± 7.79 3.21 ± 0.004 968.01 ± 8.12**

- cubicle housing with insulation systems (n = 297) 3.25 ± 0.005 954.45 ± 5.89 3.24 ± 0.004 968.19 ± 6.78 3.24 ± 0.004 984.16 ± 7.88**

- on a deep straw litter (n = 434) 3.35 ± 0.008 827.19 ± 3.62 3.35 ± 0.007 835.99 ± 3.58 3.33 ± 0.007 839.39 ± 3.61*

Capital facilities: - tie housing (n = 82) 3.25 ± 0.004 770.11 ± 4.61 3.23 ± 0.003 771.74 ± 4.64 3.23 ± 0.003 766.69 ± 4.52

- reconstructed facilitiesy for loose housing (n = 78) 3.23 ± 0.008 794.02 ± 5.52 3.22 ± 0.008 798.26 ± 5.48 3.22 ± 0.007 806.72 ± 5.50

Notes: **P<0.01 as compared with with with I period Table 4

The average mass fraction of lactose in cow's milk (%) and its synthesis for research period, kg/head

Type of facilities and housing variants

Low cost facilities:

- cubicle housing (n = 421)

- cubicle housing with insulation systems (n = 297)

- on a deep straw litter (n = 434) Capital facilities:

- tie housing (n = 82)

- reconstructed facilitiesy for loose housing (n = 78)

Weather periods

II

III

(+0.6 °C from normal values) (+0.9 °C from normal values)

% lactose lactose synthesis % lactose lactose synthesis % lactose lactose synthesis 4.44 ± 0.010 1291.78 ± 14.01 4.43 ± 0.009 1298.08 ± 12.33 4.42 ± 0.007 1332.90 ± 15.06*

4.44 ± 0.014 1303.93 ± 10.90 4.44 ± 0.014 4.51 ± 0.003 1114.11 ± 8.33 4.50 ± 0.003 4.39 ± 0.006 1040.24 ± 7.89

4.42 ± 0.003 1086.55 ± 7.75

4.38 ± 0.005 4.42 ± 0.003

1326.78 ± 11.93* 4.43 ± 0.015 1122.97 ± 8.04 4.50 ± 0.004 1046.50 ± 7.92

1095.75 ± 8.16

4.38 ± 0.005 4.43 ± 0.004

1345.62 ± 12.07* 1134.31 ± 8.58 1053.22 ± 7.96

1109.87 ± 8.85*

Notes: *P < 0.05; **P < 0.01; ***P < 0.001 as compared with I period

When keeping cows in an easy-to-assemble room with insulation elements, the energy value of 1 kg of milk increased in periods II and III by 0.025 and 0.035 MJ, respectively (Table 5). However, a decrease in the energy value of 1 kg of milk (by 0.04 and 0.012 MJ) was observed when kept indoors on a deep litter. With tethered cows in

the capital room, the energy value of 1 kg of milk decreased in the II and III periods - by 0, 13 and 0.17 MJ, respectively. In the case of loose housing of cows in the reconstructed premises, a slight increase (by 0.02 MJ) was observed in the third period. In all studied farms there was a tendency to increase the EC daily milk yield in the II and III periods.

Table 5

The average energy value (EV) of 1 kg of milk and milk yield/head in winter period, MJ

Weather periods

Type of facilities and housing variants

II

III

(+0.6 °C from normal values) (+0.9 °C from normal values)

EV of 1 kg of milk

EV of milk yield

EV of 1 kg of milk

EV of milk yield

EV of 1 kg of milk

EV of milk yield

Low cost facilities:

- cubicle housing (n = 421)

- cubicle housing with insulation systems (n = 297)

- on a deep straw litter (n = 434) Capital facilities:

- tie housing (n = 82)

- reconstructed facilitiesy for loose housing (n = 78)

3.014 ± 0.0013 80.08 ± 4.37

3.023 ± 0.0010 81.07 ± 3.70 3.144 ± 0.0015 70,89 ± 3,07 2.973 ± 0.0014 64,33 ± 2,25

2.977 ± 0.0013 66.83 ± 2.03

3.010 ± 0.0013 80.54 ± 4.55

3.048 ± 0.0012 83.17 ± 4.13 3.140 ± 0.0017 71.56 ± 4.06 2.960 ± 0.0012 64.58 ± 2.25

2.977 ± 0.0012 67.40 ± 2.28

3.014 ± 0.0012 83.01 ± 4.72

3.058 ± 0.0010 84.82 ± 4.57

3.132 ± 0.0015 72.09 ± 3.95

2.956 ± 0.0012 64.91 ± 2.20

2.979 ± 0.0012 68.16 ± 2.41

Notes: *P < 0.05; **P < 0.01; ***P < 0.001 as compared with with I period

Ukrainian Journal of Veterinary and Agricultural Sciences, 2021, Vol. 4, N 3

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I

I

An increase the energy value of milk in recalculation on of the energy value of milk in recalculation on fuel energy fuel energy and electricity was observed by all housing and electricity during II and III periods were by cubicle variants (table 6). At the same time, the highest growth rates housing, and the lowest by tie housing in capital facilities.

Table 6

The energy value of milk in recalculation on fuel energy (L) and electricity (kWh) per 1 head

Weather periods

Type of facilities and housing variants

II

(+0.6 °C from normal values)

III

(+0.9 °C from normal values)

The energy value of milk in recalculation on electricity (kWh)

on average per I period

on average per II _period_

± with I period

on average per III _period_

± with I period

Low cost facilities:

- cubicle housing (n = 421)

- cubicle housing with insulation systems (n = 297)

- on a deep straw litter (n = 434) Capital facilities:

- tie housing (n = 82)

- reconstructed facilitiesy for loose housing (n = 78)

7307.3

7397.6 6469.3

5870.1

6098.2

7349.3

7589.2

6529.8

5892.9

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6150.2

+ 42.0

+ 191.6 +60.5 + 12.80

+ 52.0

7574.6

7739.8 6578.2 5923.0

6219.6

+ 267.3

+ 342.2 + 108.9 + 52.9

+ 121.4

The energy value of milk in recalculation on fuel energy (L)

Low cost facilities:

- cubicle housing (n = 421)

- cubicle housing with insulation systems (n = 297)

- on a deep straw litter (n = 434) Capital facilities:

- tie housing (n = 82)

- reconstructed facilitiesy for loose housing (n = 78)_

1102.9 1109.3 +6.4 1143.3 + 40.4

1116,6 1145.5 +28.9 1168.3 + 51.7

976.5 985.6 + 9.1 992.9 + 16.4

886.0 889.5 + 3.5 894.0 + 8.0

920.5 928.3 +7.8 938.8 + 18.3

4. Conclusions

Thus, the increase in average annual air temperature values affected the indicators of productivity, quality composition and energy value of milk for all options for keeping cows. The productivity of cows in all variants of keeping in the first period was lower, and the indicators of protein and lactose content tended to increase compared to the second and third periods. At the same time, in the II and III periods, an increase in the synthesis of fat, protein and lactose and the energy value of milk was observed. The most stable performance indicators for maintenance options in prefabricated premises were in deep litter, and in capital - for loose maintenance in reconstructed premises.

Conflict of interest

Author does not report any financial or personal connections with other persons or organizations, which might negatively affect the contents of this publication and/or claim authorship rights to this publication.

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