Characterization of dairy goat production systems using autochthonous breeds in Andalusia (Southern Spain): Classification and efficiency comparative analysis

Morales‐Jerrett, Eduardo; Guerrero, Yolanda Mena; Camúñez-Ruíz, José Antonio; Fernández, Javier García; Mancilla-Leytón, Juan Manuel

doi:10.1016/j.smallrumres.2022.106743

Cited by 4 publications

(5 citation statements)

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“…Designing compensation regimes for the ecosystem services provided by pastoral systems could be a tool to improve the competitiveness of these systems [ 46 ], which are otherwise at a disadvantage compared to permanently establishing intensive systems, both from an economic and productive point of view [ 47 ]. Areas with low cropping potential (e.g., arid or mountainous areas), such as the farms studied, depend on grazing [ 14 , 17 ]. While vegetation plays a critical role in mitigating climate change, it also plays an important role in supporting global biodiversity and providing many goods and services to humans [ 9 , 48 ].…”

Section: Resultsmentioning

confidence: 99%

“…A sample of twenty-one farms belonging to the Federación Andaluza de Asociaciones de Ganado Caprino de Raza Pura (Cabrandalucia) were monitored monthly throughout 2018 to collect key information about inputs and outputs and animal management practices in order to calculate their CF according to Gutierrez-Peña et al [ 6 ]. These farms were representative of the dairy goat systems described by Morales-Jerrett et al [ 17 ] for the autochthonous dairy goat breeds present in Andalusia: (i) indoor systems without associated crops (IS), (ii) indoor systems with associated crops (ISC), (iii) grazing systems with high feed supply (GS), and (iv) pastoral systems (PS). Four autochthonous goat breeds were included in the study: Florida, Malagueña, Murciano-Granadina, and Payoya.…”

Section: Methodsmentioning

confidence: 99%

“…Besides a suitable methodology, due to the diversity of production systems, a clear classification of the different dairy goat production systems is necessary for proper analysis and decision making to minimize their environmental impact. The classification made by Morales-Jerrett et al [ 17 ], based on the use of autochthonous breeds in Andalusia, placed, at one extreme, goat farms with permanent stabling and outdoor exercise yards (IS group). These farms are characterized by non-seasonal productivity, which responds to the demands of the dairy industry, and a high dependence on feed from outside the farm, subject to the volatility of international markets for raw materials for animal feed.…”

Section: Methodsmentioning

confidence: 99%

“…Two intermediate models (GS and ISC groups) complete the range of possibilities between these two systems. Technical and economic characteristics, based on the calculation of indicators, of each production system are shown in the referred study [ 17 ].…”

Section: Methodsmentioning

confidence: 99%

“…Andalusia is the most important goat milk producer region in Spain, with around one million goats [ 16 ]. Contrary to the situation in other livestock sectors, the evaluation of goat production in Andalusia has undergone profound changes since the 1980s, and the development of this sector has led to great heterogeneity in terms of the breeds used, the area in which the activity is carried out, and the different management systems that have been established (from the stabled system to the grazing system, in which more than 70% of the feed is taken from grassland and shrubland) [ 17 ]. These different management systems should enable the sector to implement different strategies to adapt to the new climatic and social framework, reduce its CF, and maintain its current image of sustainability [ 18 ].…”

Section: Introductionmentioning

confidence: 99%

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A Comparative Analysis of Carbon Footprint in the Andalusian Autochthonous Dairy Goat Production Systems

Mancilla-Leytón,

Morales-Jerrett,

Muñoz-Vallés

et al. 2023

Animals

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The small ruminant livestock sector faces the challenge of reducing greenhouse gas (GHG) emissions. Carbon footprint (CF) studies on dairy goats, the most widely used indicator to quantify the impact of livestock farming on global warming, are still few. The aim of this study was to calculate the CF of the different production systems of autochthonous dairy goat breeds presently occurring in Andalusia (S Spain) and identify systems and practices that can minimize their environmental impact in these terms. Twenty-one farms were monitored during a year, obtaining valuable information that allowed the CF calculation on a “cradle-to-gate” approach, taking into account both GHG emissions at the farm level and carbon sink by vegetation associated with land-based systems. Results showed similar CF values for the analyzed systems (1.42, 1.04, 1.15, and 1.17 kg CO2-eq kg−1 fat–protein corrected milk for indoor systems without associated crops, indoor systems with associated crops, grazing systems with high feed supply, and pastoral systems, respectively). To minimize their environmental impact, specific actions must be developed for each system, particularly regarding genetic improvement, reproductive and feeding management, including pasture management, and the integration of livestock activity into the bio-circular economy with the help of professional advice.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Comparative Analysis of Carbon Footprint in the Andalusian Autochthonous Dairy Goat Production Systems

Mancilla-Leytón,

Morales-Jerrett,

Muñoz-Vallés

et al. 2023

Animals

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Impact of Technological Innovation on the Yangtze River Delta Region's Economy Based on a Quantile Regression

Li¹

2023

Advances in Economics, Business and Management Research

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Although the Yangtze River Delta region has an extremely high degree of scientific and technological innovation, its contribution to GDP is not known. Gross domestic product (GDP) is a monetary measure of the market value of all the final goods and services produced and sold (not resold) in a specific time period by countries. GDP per capita at purchasing power parity (PPP) may be more useful when comparing living standards between nations, which is the new specialized of GDP. The differences in the effects of technical innovation at various GDP levels have not been taken into account in much research. We investigate the effect of technical innovation on GDP in various contexts. This study creates a technological innovation index by first using the principal component analysis approach to minimize the dimension according to the number of patents, innovations, individuals working in scientific and technological innovation, and the price of such research and development. Then, to examine the effect of technical innovation on GDP, we created an OLS model and a quantile regression model that took into account time and regional fixed effects. Finally, a robustness test is performed to demonstrate a consistent outcome.

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Carbon Footprint of an Extensively Raised, Low-Productivity Sheep Population

Reyes-Palomo,

Díaz-Gaona,

Sanz-Fernández

et al. 2024

Agriculture

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Extensive traditional livestock systems currently face various threats, leading to their disappearance. An example of these extensive livestock farming systems is the production of the Lojeña sheep breed in the Sierra de Loja (Granada, Spain), with a census of 24,511 ewes in 2021. The aim of this work is to calculate the carbon footprint (CF) of this local breed in this region. This study is based on data collected from 27 Lojeña sheep farms producing weaned lambs (≤14 kg, 25 farms), fattened lambs (≈25 kg, 7 farms), culled animals (24 farms) and greasy wool (27 farms). Most of these farms (78%) were organically (ORG) certified and seven were conventionally (CONV) managed. The analysed farms represent 93% of the total number of farms producing Lojeña sheep in the Sierra de Loja. The CF was calculated with a “cradle to farm gate” approach. The average C footprints were 27.5 ± 6.8 kg CO2eq kgLW−1 for weaned lambs, 21.8 ± 8.5 kg CO2eq kgLW−1 for fattened lambs, 4.1 ± 2.6 kg CO2eq kgLW−1 for culled animals and 2.2 ± 0.6 kg CO2eq kg−1 for greasy wool, with a not statistically different average CF in ORG than in CONV farms. Enteric fermentation represents the main source of emissions (>60%) in all the products, and external feeding (including transport, and emissions from producing the feed) represents the second one (>10%). There was an inverse relationship between CF and productivity (lambs sold ewe−1 year−1), leading to lower footprints on those farms with the higher productivity. A direct relationship between CF and stocking rate (livestock units ha−1) has been identified.

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Characterization of dairy goat production systems using autochthonous breeds in Andalusia (Southern Spain): Classification and efficiency comparative analysis

Cited by 4 publications

References 35 publications

A Comparative Analysis of Carbon Footprint in the Andalusian Autochthonous Dairy Goat Production Systems

A Comparative Analysis of Carbon Footprint in the Andalusian Autochthonous Dairy Goat Production Systems

Impact of Technological Innovation on the Yangtze River Delta Region's Economy Based on a Quantile Regression

Carbon Footprint of an Extensively Raised, Low-Productivity Sheep Population

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