ELISA-based detection of fresh and frozen-thawed lamb meat: a promising analytical approach for meat authentication.

Fresh/chilled meat differs in quality from frozen-thawed meat, and consumers prefer fresh meat over frozen-thawed meat. Differentiating between the two types of meat is an important part of the meat quality control system. This study aimed to develop an ELISA based on cytoplasmic antioxidant enzyme superoxide dismutase (SOD) as a biomarker. IgGs were raised in experimental animals and purified using immunoaffinity chromatography. The assay was optimized with guinea pig anti-SOD pAb as the capture antibody and rabbit anti-SOD pAb as the detection antibody. The assay showed excellent performance for differentiation, as the ROC area under the curve values were >0.9. A sensitivity of 95.8% and specificity of 95.0% were observed at a positive percentage (PP%) criterion value of 52.752. Sandwich ELISA results showed a significant difference between the chilled and repeatedly frozen-thawed lamb samples. Lamb meat stored for five days in a chiller showed a PP% value below the threshold PP% value, indicating that the assay can differentiate meat until 5 days of chiller storage. In addition, a thawing time of more than 18 h at 4 ± 1 °C is required to differentiate between both types of lamb meat with a size of 500 g. The developed ELISA can be applied at various points in the meat value chain to differentiate fresh meat from frozen-thawed meat.

Impact of body condition on sow and litter performance, postpartum physiological, hematological, and biochemical parameters in Landlly crossbred pigs.

A total of 32 Landlly crossbred sows were categorized into three groups based on their body condition score (BCS) on the 90th day of gestation viz. low, moderate, and high body condition groups. BCS assessments were subsequently conducted on the 102nd day, at farrowing, and on the 7th, 17th, 27th, and 42nd day postpartum, along with measurements of ultrasonic backfat thickness and body weight. Key reproductive performance traits, including total number born (TNB) and alive (TLA), stillbirths, mummification, and litter weight at birth and weaning, were recorded. Several physiological, health, biochemical, and hematological parameters were also estimated at different lactation stages. Analysis of the data revealed that TNB, TLA (P<0.04), and weaned piglets (P<0.01), as well as litter weight at birth (P<0.08) and weaning (P<0.08), were significantly higher in the low BCS group. Meanwhile, the weaning to estrous interval (P<0.04) was optimized in the high and moderate BCS groups. However, sows with high body condition exhibited higher stillbirths and pre-weaning mortality. Additionally, the order of increasing body condition correlated with superior colostrum quality, characterized by higher IgG levels (P<0.02), and increased average milk yield during early and mid-lactation (P<0.03). A high occurrence of postpartum dysgalactia syndrome (PDS) was evident in obese sows (P<0.001). Moreover, a positive correlation was found between the body condition of sows at late gestation and cortisol concentration throughout lactation across the three BCS groups (P<0.0001). Furthermore, a strong positive correlation was observed between the postpartum serum concentration of T3 (thyroid hormone) (P<0.002) and the prepartum body condition of sows. Based on these findings, maintaining sows with a moderate body condition (BCS of 3) and a backfat thickness of 21 mm in the breeding herd is recommended for enhancing profitability and productivity at the farm level.

Allelic to genome wide perspectives of swine genetic variation to litter size and its component traits.

Litter size is a complex and sex limited trait that depends on various biological, managemental and environmental factors. Owing to its low heritability it is inefficaciously selected by traditional methods. However, due to higher heritability of ovulation rate and embryo survival, selection based on component traits of litter size is advocated. QTL analysis and candidate gene approach are among the various supplementary/alternate strategies for selection of litter size. QTL analysis is aimed at identifying genomic regions affecting trait of interest significantly. Candidate gene approach necessitates identification of genes potentially affecting the trait. There are various genes that significantly affect litter size and its component traits viz. ESR, LEP, BF, IGFBP, RBP4, PRLR, CTNNAL1, WNT10B, TCF12, DAZ, and RNF4. These genes affect litter size in a complex interacting manner. Lately, genome wide association study (GWAS) have been utilized to unveil the genetic and biological background of litter traits, and elucidate the genes governing litter size. Favorable SNPs in these genes have been identified and offers a scope for inclusion in selection programs thereby increasing breeding efficiency and profit in pigs. The review provides a comprehensive coverage of investigations carried out globally to unravel the genetic variation in litter size and its component traits in pigs, both at allelic and genome wide level. It offers a current perspective on different strategies including the profiling of candidate genes, QTLs, and genome wide association studies as an aid to efficient selection for litter size and its component traits.