Estimation of genetic parameters for four Peruvian guinea pig lines

Cedano-Castro, J I; C., Amparo Huamán; Huamán, Ana; Fuerst-Waltl, Birgit; Wurzinger, María; Gutiérrez, Gustavo

doi:10.1007/s11250-020-02473-6

Cited by 7 publications

(6 citation statements)

References 17 publications

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“…Thu s, our findings suggest that (1) the common litter effects strongly influence the aforementioned traits, and (2) Model 2 provides a better fit for analyzing genetic parameters in BW and AGE. It is worth noting that previous studies have reported a range of heritability for BW, from 0.04 to 0.44 ( 13 – 20 ). Notably, the finding by Jiao et al ( 21 ) align with our study.…”

Section: Discussionmentioning

confidence: 97%

Genetic evaluation for production and body size traits using different animal models in purebred-Duroc pigs

Zhou,

Lin,

Dong

et al. 2023

Front. Vet. Sci.

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Duroc pigs are popular crossbred terminal sires, and accurate assessment of genetic parameters in the population can help to rationalize breeding programmes. The principle aim of this study were to evaluate the genetic parameters of production (birth weight, BW; age at 115 kg, AGE; feed conversion ratio, FCR) and body size (body length, BL; body height, BH; front cannon circumference, FCC) traits of Duroc pigs. The second objective was to analyze the fit of different genetic assessment models. The variance components and correlations of BW (28,348 records), AGE (28,335 records), FCR (11,135 records), BL (31,544 records), BH (21,862 records), and FCC (14,684 records) traits were calculated by using DMU and AIREMLF90 from BLUPF90 package. In the common environment model, the heritability of BW, AGE, FCR, BL, BH, and FCC traits were 0.17 ± 0.014, 0.30 ± 0.019, 0.28 ± 0.024, 0.16 ± 0.013, 0.14 ± 0.017, and 0.081 ± 0.016, with common litter effect values of 0.25, 0.20, 0.18, 0.23, 0.19, and 0.16, respectively. According to the results of the Akaike information criterion (AIC) calculations, models with smaller AIC values have a better fit. We found that the common environment model with litter effects as random effects for estimating genetic parameters had a better fit. In this Model, the estimated genetic correlations between AGE with BW, FCR, BL, BH, and FCC traits were −0.28 (0.040), 0.76 (0.038), −0.71 (0.036), −0.44 (0.060), and −0.60 (0.073), respectively, with phenotypic correlations of −0.17, 0.52, −0.22, −0.13 and −0.24, respectively. In our analysis of genetic trends for six traits in the Duroc population from 2012 to 2021, we observed significant genetic trends for AGE, BL, and BH. Particularly noteworthy is the rapid decline in the genetic trend for AGE, indicating an enhancement in the pig's growth rate through selective breeding. Therefore, we believe that some challenging-to-select traits can benefit from the genetic correlations between traits. By selecting easily measurable traits, they can gain from synergistic selection effects, leading to genetic progress. Conducting population genetic parameter analysis can assist us in devising breeding strategies.

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Section: Discussionmentioning

confidence: 97%

Genetic evaluation for production and body size traits using different animal models in purebred-Duroc pigs

Zhou,

Lin,

Dong

et al. 2023

Front. Vet. Sci.

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“…In 2020, the Peruvian annual production was 27 103 Mt of guinea pig meat and its exportation reached 16.2 Mt, valued at $164 600.00 (MINAGRI, 2023). Owing to this increasing economic relevance, this Andean country has developed its own productive breeds and genetic lines (Cedano‐Castro et al, 2020; Chauca, 1997); however, genomic characterizations are still scarce.…”

Section: Figurementioning

confidence: 99%

Genotyping‐by‐sequencing reveals a high number and quality of single nucleotide polymorphisms in guinea pigs (Cavia porcellus) from the Peruvian Andes

Borja Lozano,

Vigil Santillán,

More Montoya

et al. 2023

Animal Genetics

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Guinea pigs are a major source of animal protein for Peruvian Andean families. Despite the economic and cultural relevance of guinea pigs, their genomic characterization has been scarcely addressed. Genotyping‐by‐sequencing (GBS) has emerged as an affordable alternative to genotyping of livestock and native animals. Here, we report the use of GBS for single nucleotide polymorphism (SNP) discovery of traditionally raised guinea pigs from six regions of the Peruvian Andes and one group of breeding animals. The paired‐end (2 × 150 bp) sequencing of 40 guinea pig DNA samples generated a mean of 6.4 million high‐quality sequencing reads per sample. We obtained an average sequencing depth of 10× with an 88.5% mapping rate to the Cavia porcellus reference genome. A total of 279 965 SNPs (102 SNPs/Mbp) were identified after variant calling and quality filtering. Based on this SNP set, we assessed the genetic diversity and distance within our selected guinea pig populations. An overall average minor allele frequency of 0.13, an observed heterozygosity of 0.31, an expected heterozygosity of 0.35, and an F‐value of 0.1 were obtained, while the SNP‐based neighbor‐joining tree suggests a closer genetic relationship between individuals from geographically close locations. We showed that GBS is a cost‐effective tool for SNP discovery and genetic characterization of Peruvian guinea pig populations. Therefore, it may be considered as a suitable and affordable tool for genomic characterization of poorly studied native animal species.

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“…At higher elevations, the breeding of guinea pigs (Cavia porcellus) is one of the primary agricultural activities [15,16]. Guinea pigs are widely prevalent in rural Andean communities across Peru, Ecuador, Bolivia, and Colombia, having been domesticated between 2500 and 3600 years ago [17]. The production and utilization of guinea pigs hold significant importance for the area's sustainability, reflecting its traditional and ethnic/regional significance [14,18].…”

Section: Introductionmentioning

confidence: 99%

Application of Biogas from Quinoa, Wheat, and Andean Guinea Pig Residuals as Biofuels for Gas Turbines

et al. 2023

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This article shows the effect that biogases obtained from crop residuals from the Andean region have on the performance of a whole medium-sized electrical-generating gas turbine. This technology could be used to supply electricity in energy-depressed areas where biogas is the only accessible resource. The gas turbine worked with higher efficiencies when the obtained biogases were used compared to natural gas. The biofuel that presented the highest efficiencies was the one obtained from wheat residuals alone. Despite this fact, this biofuel would be the most prone to create aerodynamic problems in the stages of the gas turbine. In this work, it was found that the addition of guinea pig manure to different crop residuals created biofuels less prone to create aerodynamic problems in the compression and expansion stages. In particular, the studied biofuel that had the most similar aerodynamic behavior to the design natural gas case was the one obtained from guinea pig manure and quinoa residuals. On the other hand, this biogas presented the lowest efficiencies of the studied biofuels. Despite this fact, this biofuel showed higher efficiencies than the natural gas case. In the gas turbine combustion chamber, all the studied biofuels operated at lower temperatures than the ones with natural gas, even in the high-power range. This would be an important feature for the running of the combustion chamber and the high-pressure turbine superalloys.

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Estimation of genetic parameters for four Peruvian guinea pig lines

Cited by 7 publications

References 17 publications

Genetic evaluation for production and body size traits using different animal models in purebred-Duroc pigs

Genetic evaluation for production and body size traits using different animal models in purebred-Duroc pigs

Genotyping‐by‐sequencing reveals a high number and quality of single nucleotide polymorphisms in guinea pigs (Cavia porcellus) from the Peruvian Andes

Application of Biogas from Quinoa, Wheat, and Andean Guinea Pig Residuals as Biofuels for Gas Turbines

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