scholarly journals Advances in Genetic Improvement of Meat Quality Traits in Pig

2018 ◽  
Vol 4 (2) ◽  
pp. 177-185
Author(s):  
Yoya Vashi ◽  
Soumen Naskar ◽  
Santanu Banik ◽  
Prabhat Kumar Mandal

This article reviews the advances in molecular genetics that have led to the genetic improvement in meat quality in pigs. During the past few decades, genes, or markers associated with genes have been identified that affects meat quality. The huge amount of information emerging from genomic studies is opening up new opportunities for the genetic selection of pigs. Several genes that influence meat quality have already been, or are close to being identified. Some of them have already been implemented into breeding programs by marker assisted selection. Fields like functional genomics and proteomics are helping in better understanding of the function and regulation of genes and how these participate in complex networks controlling the phenotypic characteristics of a trait. An integrated approach of genomics and proteomics with bioinformatics tools will further exploit the available molecular genetics information. This will allow animal breeders to make progress more rapidly to meet the demand for high quality pork.

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Simone Savoia ◽  
Andrea Albera ◽  
Alberto Brugiapaglia ◽  
Liliana Di Stasio ◽  
Alessio Cecchinato ◽  
...  

Abstract Background The possibility of assessing meat quality traits over the meat chain is strongly limited, especially in the context of selective breeding which requires a large number of phenotypes. The main objective of this study was to investigate the suitability of portable infrared spectrometers for phenotyping beef cattle aiming to genetically improving the quality of their meat. Meat quality traits (pH, color, water holding capacity, tenderness) were appraised on rib eye muscle samples of 1,327 Piemontese young bulls using traditional (i.e., reference/gold standard) laboratory analyses; the same traits were also predicted from spectra acquired at the abattoir on the intact muscle surface of the same animals 1 d after slaughtering. Genetic parameters were estimated for both laboratory measures of meat quality traits and their spectra-based predictions. Results The prediction performances of the calibration equations, assessed through external validation, were satisfactory for color traits (R2 from 0.52 to 0.80), low for pH and purge losses (R2 around 0.30), and very poor for cooking losses and tenderness (R2 below 0.20). Except for lightness and purge losses, the heritability estimates of most of the predicted traits were lower than those of the measured traits while the genetic correlations between measured and predicted traits were high (average value 0.81). Conclusions Results showed that NIRS predictions of color traits, pH, and purge losses could be used as indicator traits for the indirect genetic selection of the reference quality phenotypes. Results for cooking losses were less effective, while the NIR predictions of tenderness were affected by a relatively high uncertainty of estimate. Overall, genetic selection of some meat quality traits, whose direct phenotyping is difficult, can benefit of the application of infrared spectrometers technology.


2003 ◽  
Vol 2003 ◽  
pp. 52-52 ◽  
Author(s):  
I. Cassar-Malek ◽  
K. Sudre ◽  
J. Bouley ◽  
A. Listrat ◽  
Y. Ueda ◽  
...  

Up to now, genetic selection in cattle has been directed in favour of muscle growth, which changes muscle characteristics, and hence meat quality. One key concern, that now needs examination, is to understand the relationships between muscle growth and muscle characteristics related to meat quality. To achieve such a goal, muscles of divergently selected animals were analysed by three complementary approaches: (i) determination of muscle biochemical characteristics, (ii) identification of differentially expressed genes using transcriptomic and proteomic tools, (iii) identification of Single Nucleotide Polymorphisms (SNP) within candidate genes.


2019 ◽  
Vol 97 (Supplement_3) ◽  
pp. 265-265
Author(s):  
Hannah E Willson ◽  
Hinayah Oliveira ◽  
Allan Schinckel ◽  
Daniela Grossi

Abstract In recent years, swine breeding programs have turned their selection attentions from focusing mostly on growth, feed efficiency and percent fat towards including meat quality and carcass traits with aims to efficiently produce nutritious and tasty meat to attend a growing demand for pork. In this context, the success of genetic selection for such traits relies on several factors, especially the heritability (h2) of the traits included in the selection indexes. Therefore, this study aimed to estimate genetic parameters for seven meat quality and carcass traits in Duroc pigs, including: meat lightness (L*), loin pH (pH), marbling (MARB), untrimmed belly weight (UBLW), untrimmed ham weight (UHW), untrimmed loin weight (ULW), and untrimmed shoulder weight (USW). Phenotypic measurements were collected on 2,857 purebred Duroc gilts from a Terminal Sire line. The pedigree-based relationship matrix included 5,316 animals and genetic parameters were estimated using univariate models under the REML approach. The traits studied here were shown to be moderately to highly heritable (h2 estimates were 0.32, 0.42, 0.47, 0.35, 0.24, 0.28, and 0.28 for L*, pH, MARB, UBLW, UHW, ULW, and USW, respectively). Our findings suggest that these traits are under genetic control, and thus, they can be genetically improved if included in selection schemes. The next step will be to estimate the genetic correlation between those traits (among themselves and with other traits), as well as alternatives to efficiently incorporate these traits in the selection indexes.


2021 ◽  
Vol 43 ◽  
pp. e51983
Author(s):  
Luiz Henrique Tolentino Santos ◽  
Cibelle Santos Dias ◽  
Lucas Amorim Silveira ◽  
Messulan Rodrigues Meira ◽  
Elisa Susilene Lisboa dos Santos ◽  
...  

The characterization and selection of molecular markers are important for genetic pre-breeding programs since they make it possible to choose the most appropriate markers to be used in future research. Therefore, enabling the generation of subsidies for genetic-molecular studies in algabora (Prosopis juliflora (Sw.) DC). The amplification profile was characterized. It was generated from 17 pairs of RGA primers (Resistance Gene Analogs) in 20 samples of genomic DNA of P. juliflora extracted from specimens collected in the city of Itapetinga, Bahia. The amplifications were performed according to previously published laboratory routines and the amplification profiles analyzed from the photodocumentation of the electrophoresis results in 2% agarose gels. Based on the amplification profiles the primer pairs were classified as: Suitable: amplifications in the whole samples and with easy visualization; Reasonable: amplification in parts of the samples and/or difficult to visualize or Inadequate: absence of visible amplification products. Descriptive analyzes associated with the number of generated markers, percentage of polymorphism, expected heterozygosity (He) and the content of polymorphic information (PIC) were also performed. In a nutshell, 12 out of the 17 pairs of RGA primers generated amplification products with easy visualization and only two of these 12 pairs of primers were monomorphic. The percentage of polymorphism varied from 60% to 100%, He and PIC presented an average of 0.21 (ranging from 0 to 0.38) and 0.17 (ranging from 0 to 0.29), respectively. The results confirm that the RGA primers present adequate characteristics for genetic studies in P. juliflora, making it possible to prioritize 12 pairs of primers, which are subject to genetic improvement studies.


2020 ◽  
Vol 42 ◽  
pp. e49050
Author(s):  
André Luiz Halak ◽  
Pedro da Rosa Santos ◽  
Robson Marcelo Rossi ◽  
Priscila Wielewski ◽  
Gentil Vanini de Moraes ◽  
...  

Characteristics correlated with beekeeping production, less influenced by the environment and that can be controlled by management techniques, can help in the selection of colonies with higher production capacity, aiming to improve breeding programs. This research was carried out to evaluate the production of Africanized Apis mellifera drones and the longevity of spermatozoa from different genetic groups when supplemented with protein or not. Two genetic groups were used: one selected for royal jelly production from the Africanized honeybee breeding program and another without genetic selection. In both groups, the number of drone brood and the quality of semen were evaluated every 30 days, for five months. Statistical analysis was performed using Bayesian Inference. Statistical difference was found for the drone production among the treatments, and colonies without genetic selection produced more males (187.80 ± 11.15) than the selected colonies (93.07 ± 8.88). The selected colonies for royal jelly production presented greater efficiency in the reproductive cycle of males, because they produced fewer drones than colonies without genetic selection, however, with 31% greater semen viability.


2016 ◽  
Vol 11 (3) ◽  
pp. 217
Author(s):  
Estu Nugroho ◽  
Budi Setyono ◽  
Mochammad Su’eb ◽  
Tri Heru Prihadi

Program pemuliaan ikan mas varietas Punten dilakukan dengan seleksi individu terhadap karakter bobot ikan. Pembentukan populasi dasar untuk kegiatan seleksi dilakukan dengan memijahkan secara massal induk ikan mas yang terdiri atas 20 induk betina dan 21 induk jantan yang dikoleksi dari daerah Punten, Kepanjen (delapan betina dan enam jantan), Kediri (tujuh betina dan 12 jantan), Sragen (27 betina dan 10 jantan), dan Blitar (15 betina dan 11 jantan). Larva umur 10 hari dipelihara selama empat bulan. Selanjutnya dilakukan penjarangan sebesar 50% dan benih dipelihara selama 14 bulan untuk dilakukan seleksi dengan panduan hasil sampling 250 ekor individu setiap populasi. Seleksi terhadap calon induk dilakukan saat umur 18 bulan pada populasi jantan dan betina secara terpisah dengan memilih berdasarkan 10% bobot ikan yang terbaik. Calon induk yang terseleksi kemudian dipelihara hingga matang gonad, kemudian dipilih sebanyak 150 pasang dan dipijahkan secara massal. Didapatkan respons positif dari hasil seleksi berdasarkan bobot ikan, yaitu 49,89 g atau 3,66% (populasi ikan jantan) dan 168,47 g atau 11,43% (populasi ikan betina). Nilai heritabilitas untuk bobot ikan adalah 0,238 (jantan) dan 0,505 (betina).Punten carp breeding programs were carried out by individual selection for body weight trait. The base population for selection activities were conducted by mass breeding of parent consisted of 20 female and 21 male collected from area Punten, eight female and six male (Kepanjen), seven female and 12 male (Kediri), 27 female and 10 male (Sragen), 15 female and 11 male (Blitar). Larvae 10 days old reared for four moths. Then after spacing out 50% of total harvest, the offspring reared for 14 months for selection activity based on the sampling of 250 individual each population. Selection of broodstock candidates performed since 18 months age on male and female populations separately by selecting based on 10% of fish with best body weight. Candidates selected broodstocks were then maintained until mature. In oder to produce the next generation 150 pairs were sets and held for mass spawning. The results revealed that selection response were positive, 49.89 g (3.66%) for male and 168.47 (11.43%) for female. Heritability for body weight is 0.238 (male) and 0.505 (female).


REVISTA FIMCA ◽  
2018 ◽  
Vol 5 (2) ◽  
pp. 28-31
Author(s):  
Darlan Darlan Sanches Barbosa Alves ◽  
Victor Mouzinho Spinelli ◽  
Marcos Santana Moraes ◽  
Carolina Augusto De Souza ◽  
Rodrigo da Silva Ribeiro ◽  
...  

Introdução: O estado de Rondônia se destaca como tradicional produtor de café, sendo o segundo maior produtor brasileiro de C. canephora. No melhoramento genético de C. canephora, a seleção de plantas de elevada peneira média está associada à bebida de qualidade superior. Objetivos: O objetivo desse estudo foi avaliar a variabilidade genética de clones de C. canephora para o tamanho dos grãos, mensurado a partir da avaliação da peneira média (PM). Materiais e Métodos: Para isso, foi conduzido ao longo de dois anos agrícolas experimento no campo experimental da Embrapa no município de Ouro Preto do Oeste-RO, para a avaliação da peneira média de 130 genótipos (clones) com características das variedades botânicas Conilon, Robusta e híbridos intervarietais. O delineamento experimental utilizado foi de blocos ao acaso, com quatro repetições de quatro plantas por parcela. Resultados: Não houve resultados significativos para a interação clones X anos, indicando uma maior consistência no comportamento das plantas ao longo do tempo. Porém foram observadas diferenças significativas para o tamanho dos grãos entre os genótipos avaliados, possibilitando selecionar genótipos superiores. Conclusão: Os genótipos agruparam-se em cinco classes de acordo com o teste de média, subsidiando a caracterização de um gradiente de variabilidade da característica avaliada ABSTRACTIntroduction: Coffea canephora accounts for approximately 35% of the world's coffee production. The state of Rondônia stands out as a traditional coffee producer, being the second largest Brazilian producer of C. canephora. In the classical genetic improvement of C. anephora, the selection of plants of high average sieve is associated with a drink of superior quality. Objectives: The objective of this udy was to evaluate the genetic variability of Coffea canephora clones for the agronomic medium sieve (PM). Materials and Methods: The experiment was conducted in the experimental field of Embrapa, municipality of OuroPreto do Oeste-RO, located at coordinates 10º44'53 "S and 62º12'57". One hundred thirty genotypes (clones) of botanical characteristics Conilon, Robusta and intervarietal hybrids were evaluated in the agricultural years 2013-2014 and 2014-2015. The experimental design was a randomized block design with four blocks and four plants per plot, spacing 3.5 x 1.5 meters between plants. Results: Significant difference was found for the grain size. According to the F test, at 5% probability, the genotypes were grouped into five classes according to the mean test. Conclusion: The results obtained subsidized the characterization of a variability gradient of the evaluated trait.


2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Delphine M. Pott ◽  
Sara Durán-Soria ◽  
Sonia Osorio ◽  
José G. Vallarino

AbstractPlant quality trait improvement has become a global necessity due to the world overpopulation. In particular, producing crop species with enhanced nutrients and health-promoting compounds is one of the main aims of current breeding programs. However, breeders traditionally focused on characteristics such as yield or pest resistance, while breeding for crop quality, which largely depends on the presence and accumulation of highly valuable metabolites in the plant edible parts, was left out due to the complexity of plant metabolome and the impossibility to properly phenotype it. Recent technical advances in high throughput metabolomic, transcriptomic and genomic platforms have provided efficient approaches to identify new genes and pathways responsible for the extremely diverse plant metabolome. In addition, they allow to establish correlation between genotype and metabolite composition, and to clarify the genetic architecture of complex biochemical pathways, such as the accumulation of secondary metabolites in plants, many of them being highly valuable for the human diet. In this review, we focus on how the combination of metabolomic, transcriptomic and genomic approaches is a useful tool for the selection of crop varieties with improved nutritional value and quality traits.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Giovanni Bittante ◽  
Simone Savoia ◽  
Alessio Cecchinato ◽  
Sara Pegolo ◽  
Andrea Albera

AbstractSpectroscopic predictions can be used for the genetic improvement of meat quality traits in cattle. No information is however available on the genetics of meat absorbance spectra. This research investigated the phenotypic variation and the heritability of meat absorbance spectra at individual wavelengths in the ultraviolet–visible and near-infrared region (UV–Vis-NIR) obtained with portable spectrometers. Five spectra per instrument were taken on the ribeye surface of 1185 Piemontese young bulls from 93 farms (13,182 Herd-Book pedigree relatives). Linear animal model analyses of 1481 single-wavelengths from UV–Vis-NIRS and 125 from Micro-NIRS were carried out separately. In the overlapping regions, the proportions of phenotypic variance explained by batch/date of slaughter (14 ± 6% and 17 ± 7%,), rearing farm (6 ± 2% and 5 ± 3%), and the residual variances (72 ± 10% and 72 ± 5%) were similar for the UV–Vis-NIRS and Micro-NIRS, but additive genetics (7 ± 2% and 4 ± 2%) and heritability (8.3 ± 2.3% vs 5.1 ± 0.6%) were greater with the Micro-NIRS. Heritability was much greater for the visible fraction (25.2 ± 11.4%), especially the violet, blue and green colors, than for the NIR fraction (5.0 ± 8.0%). These results allow a better understanding of the possibility of using the absorbance of visible and infrared wavelengths correlated with meat quality traits for the genetic improvement in beef cattle.


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