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European Journal of Applied Sciences – Vol. 11, No. 2

Publication Date: April 25, 2023

DOI:10.14738/aivp.112.14295.

Sarubbi, F., Pappalardo, R., Grazioli, G., & Auriemma, G. (2023). Greenhouse Gas Emission in Italian Mediterranean Buffalo

According to Two Different Feed Sources: Preliminary Study. European Journal of Applied Sciences, Vol - 11(2). 347-354.

Services for Science and Education – United Kingdom

Greenhouse Gas Emission in Italian Mediterranean Buffalo

According to Two Different Feed Sources: Preliminary Study

Fiorella Sarubbi

Institute for the Animal Production System Mediterranean Environment,

National Research Council, 80055 Portici, Italy.

Raffaele Pappalardo

Institute for the Animal Production System Mediterranean Environment,

National Research Council, 80055 Portici, Italy.

Giuseppe Grazioli

Institute for the Animal Production System Mediterranean Environment,

National Research Council, 80055 Portici, Italy.

Giuseppe Auriemma

Institute for the Animal Production System Mediterranean Environment,

National Research Council, 80055 Portici, Italy.

ABSTRACT

Greenhouse gas emissions (GHG) in animal husbandry depend on several factors.

Among the greenhouse gases, the methane (CH4) deriving from enteric

fermentation and ammonia emissions is the ones that encounter the greatest

attention in ruminant breeding. The study was conducted in the two farms located

in southern Italy. To determine the enteric greenhouse gas emissions from buffalo,

information about animal production and farm management was analysed and

using the Global Livestock Environmental Assessment interactive mode (GLEAM-i).

In this experiment, the buffalo were fed with two types of unifeed ad was calculated

CO2, CH4 and N2O emission produced. The resulting values of GHG emission from

each production system were analysed using the t - test procedure using SPSS®

version 26. The dry forage diet system had the highest GHG emission compared to

green forage diet system, indicating the effect of higher inputs in the dry system in

increasing GHG emission. From the results, greener management using feed and

other management inputs would not only improve productivity, but also reduce the

contribution of livestock to global greenhouse gas emissions.

Keywords: greenhouse gas emission, buffalo, feed source, farm management.

INTRODUCTION

Due to an increased concern about climate change, greenhouse gas (GHG) emissions have

become one of the major issues in all industrial sectors [1]. Agricultural activity accounts for

around 60% and 50% of global anthropogenic emissions of nitrous oxide (N2O) and methane

(CH4), respectively, and the livestock sector has been recognized as an important contributor

to the emissions of greenhouse gas [2].

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More than 70% of CH4 is generated by anthropogenic activities, including animal husbandry

(27%; enteric fermentation in livestock and manure management), paddy rice cultivation

(26%), petroleum sources (26%), waste management (12%) and biomass burning (9%) [3].

It is globally estimated that 7.516 million metric tons per year of CO2 equivalent or 18% of

annual worldwide GHG emissions are attributable to cattle, buffalo, sheep, goats, pigs, and

poultry [4]; more exhaustive estimation of food production is responsible for 26% of the total

annuals global GHG emissions [5].

Enteric fermentation by ruminants is the largest source of CH4 emissions in the livestock sector

[4]; it is therefore necessary to precisely valuation the enteric production of methane in these

species to develop a national greenhouse gas inventory and establish mitigation strategies for

greenhouse gas emissions from primary livestock production.

Concerns about global warming have increased the pressure to promote environmentally

sustainable livestock production. Therefore, research focused on the assessment of greenhouse

gas emissions from the livestock sector is essential to develop more sustainable practices.

The different livestock production system contributes to global greenhouse gas emission

differently.

With the increase in demand for food of animal origin and therefore in the consequent increase

in the number of animals [6], with the concentration of intensive farms, the livestock sector, in

terms of contribution to global GHG emissions, plays an increasingly significant role. The

livestock sector plays an important role in influencing climate change, but also that climate

change can negatively affect animals, both directly, because of the increase in temperature,

which affects metabolic activity and the prevalence of new diseases, and indirectly by limiting

the availability of feed and water resources [7].

Methodologies suggested by the IPCC (The Intergovernmental Panel on Climate Change

guidelines [8] for the estimation of the enteric methane production of cattle, are Tier 1 (default

values), to Tier 2 (including considerations on diet and energy intake), and Tier 3 (country- specific methodologies and parameter estimates).

[9] studied the effects of methane (CH4) emissions in function of manure management in large

ruminants in China and concluded that the country of breeding strongly influences the results.

Therefore, it is essential to carry out these studies on animals reared in a different country to

provide the latter with all the information necessary to proceed with the appropriate

development of policies and of mitigation strategies to reduce the production of this

greenhouse gas.

It is important to emphasize that wastewater deriving from agro-zootechnical activity, if used

in an irrational way, constitutes a high source of pollution, despite their characteristics making

them suitable for reuse as fertilizers or soil improvers.

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349

Sarubbi, F., Pappalardo, R., Grazioli, G., & Auriemma, G. (2023). Greenhouse Gas Emission in Italian Mediterranean Buffalo According to Two

Different Feed Sources: Preliminary Study. European Journal of Applied Sciences, Vol - 11(2). 347-354.

URL: http://dx.doi.org/10.14738/aivp.112.14295.

The interactions between animal husbandry and the environment vary according to the type of

animals reared (polygastric and monogastric), to breeding techniques and to technologies used

and the farming system (intensive, semi-extensive and extensible).

The 80% of polluting emissions would be related to farms of an extension type where the

feeding of livestock is represented mainly from forage, which determines, at the rumen level,

fermentation of acetic type and therefore a greater production of greenhouse gases.

The breeding of dairy buffaloes (Bubalus bubalis) is traditional in the swampy areas of the

central and southern plains of Italy. For zootechnical purposes, the buffalo species is

today considered to have a dual aptitude, although milk production is more important

than meat production; in fact, the buffalo species has produced 123 million tons of milk

and 4.2 million tons of meat worldwide. According to FAO estimates [10], the world livestock

sector is responsible for 14.5% of total anthropogenic emissions. Considering the main

greenhouse gases, at a global level, livestock farms would be responsible for the emission of

about 9% of carbon dioxide, 37% of methane, and 65% of nitrous oxide. In particular, global

anthropogenic emissions amount to about 9 million tons of CO2eq per year.74% of the

world's emissions of livestock origin are caused by cattle. This is mainly due to the abundance

of dairy cattle, but also to a large amount of methane and nitrous oxide emitted by beef cattle

compared to other animals. [11] studied the relationship between the distribution of number

of buffaloes reared in the province of Caserta (Italy) and the expected concentration of nitrates

in the aquifers. Comparison with data recorded in over 100 wells showed that there is no

correlation between the measured pollution and that expected based on the distribution of the

animals reared.

[12] in a study of methane emissions, according to the type of management, they report that

the type of business management in the buffalo species influences the environmental impact as

regards the CH4 emission factor; this result is mainly due to the diet administered to the

animals. They also report that, although the energy requirement for maintenance is the most

important aspect of estimating the CH4 emission factor, this required energy is not influenced

by the production level, while the daily energy requirement increases according to the quantity

of milk produced. This also reduces the fraction of energy required for maintenance.

Consequently, it appears clear that farm management strongly influences the amount of CH4

produced. Correctly balancing the nutrients of the ration, in particular the ratio between

proteins and energy, to maximize the efficiency of use of both fractions at the ruminal level,

appears essential not only to meet the nutritional needs of the animals to which the ration is

intended, but also to try to have a lower impact on the environment.

[13] in a study on nitrogen excretion in lactating buffaloes comparing four different types of

livestock management reported that the organic farm has the least impact in terms of nitrogen

excretion, compared to the other three farms. This answer can also find its justification in the

fact that the ration has a lower protein content.

The Global Livestock Environmental Assessment Model interactive (GLEM-i) provides a flexible

tool for undertaking GHG emission among various livestock system ex ante (FAO [14] [15].

Therefore, in this experiment the GHG gas emission in buffalo fed with two types of unifeed was

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calculated through the quantification of CO2, CH4 and N2O and the emission per kilogram

produced by the two different food systems.

THE EXISTING RANKING METHODS

The study was conducted in the two farms located in southern Italy that were chosen as

representative of the typical buffalo farm in southern Italy.

Were selected 30 lactating buffaloes for farm, homogeneous for distance from calving, calving

order and average milk production recorded in the 30 days prior to the start of the

experimental trial.

Animals had ad libitum access to a total mixed ration (60% maize silage, 17% hay, 24%

concentrate for dry unifeed and 56% alfalfa, 30% maize silage and 14% concentrate for green

unifeed).

The diets were calculated assigning 0.88 MFU/ kg of dry matter, 15% crude protein and 38%

NDF for both farms.

Milk yield was calculated by recording the consecutive milking production on the same day.

There was no difference in milk production between the two groups (11.4 and 11.2 kg per

animal for dry vs green unifeed, respectively).

The qualitative characteristics of the milk recorded in the two groups were also similar (9.5 vs

9.3% of fat and 4.6 vs 4.5% of protein, respectively for the dry unifeed group and the green

unifeed group).

The farm that uses dry unifeed has a total extension of about 260 hectares, while the other

farms extend for about 20 hectares. Both companies provide for the mechanical separation of

the solid and liquid fractions. The separated solid is used as organic fertilizer or soil improver,

and the liquid fraction for fertigation use.

The data utilized of the GLEAM-i tool was inserted in herd module, feed module and manure

module and were collected on the farm. These data were used as inputs for each of the module

to make estimations of GHG emission from the different components or processes of livestock

production system. GLEAM-i is a freely available, web-based Excel program developed by [16]

and [2]. The GLEAM-i quantifies GHG emissions arising from the production of the main

livestock commodities such as meat and milk from cattle, sheep, goats, and buffalo.

In this study, the authors considered two unifeed types in buffalo breeding for estimate CO2,

CH4 and N2O emissions from each type of unifeed and the emission per kilogram produced by

the two different food systems.

Feed intake and manure production were converted into feed intake and manure management

type percentage. The resulting values of GHG emission from each production system were

analyzed using the t - test procedure using [17].