Influence of crossbreeding on meat goat doe fitness when comparing Boer F1 with base breeds in the Southeastern United States

Multiomics analyses of Jining Grey goat and Boer goat reveal genomic regions associated with fatty acid and amino acid metabolism and muscle development

OBJECTIVE

Jining Grey goat is a local Chinese goat breed that is well known for its high fertility and excellent meat quality but shows low meat production performance. Numerous studies have focused on revealing the genetic mechanism of its high fertility, but its highlighting meat quality and muscle growth mechanism still need to be studied.

METHODS

In this research, an integrative analysis of the genomics and transcriptomics of Jining Grey goats compared with Boer goats was performed to identify candidate genes and pathways related to the mechanisms of meat quality and muscle development.

RESULTS

Our results overlap among five genes (ABHD2, FN1, PGM2L1, PRKAG3, RAVER2) and detected a set of candidate genes associated with fatty acid metabolism (PRKAG3, HADHB, FASN, ACADM), amino acid metabolism (KMT2C, PLOD3, NSD2, SETDB1, STT3B, MAN1A2, BCKDHB, NAT8L, P4HA3) and muscle development (MSTN, PPARGC1A, ANKRD2). Several pathways have also been detected, such as the FoxO signaling pathway and Apelin signaling pathway that play roles in lipid metabolism, lysine degradation, N-glycan biosynthesis, valine, leucine and isoleucine degradation that involving with amino acid metabolism.

CONCLUSION

The comparative genomic and transcriptomic analysis of Jining Grey goat and Boer goat revealed the mechanisms underlying the meat quality and meat productive performance of goats. These results provide valuable information for future breeding of goats.

Growth performance of Black Bengal, Saanen, and their crossbred F1 as affected by sex, litter size, and season of kidding

The objective of the present study was to determine the factors that influenced growth performance of the goat kids of Black Bengal (BB), Saanen (SA), and their crossbred F1 (male Bengal × female Saanen [BBSA] and male Saanen × female Black Bengal [SABB]). Data for 674 kids were analyzed from 316 litters and 134 does. All kids were weekly measured on their characteristics (body weight, length, height at the withers, and chest girth) from birth to 11 weeks old. The kid's breed and sex, litter size, and season of kidding influenced birth weight and other characteristics through the experiment. The SA and BBSA kids showed similar performance, which were higher than BB and SABB kids. Male kids had higher performance than female kids, and kids from a single litter showed the highest performance. Kids born during rainy season showed lower performance than those born in hot and cool seasons. In conclusion, the crossbred BBSA is superior to SABB or BB to raise in tropical climate Moreover, sex, litter size, and kidding season also affected growth performance during the preweaning period up to 11 weeks old.

Genome-wide selection signal analysis of Australian Boer goat reveals artificial selection imprinting on candidate genes related to muscle development

As one of the best-known commercial goat breeds in the world, Boer goat has undergone long-term artificial selection for nearly 100 years, and its excellent growth rate and meat production performance have attracted considerable worldwide attention. Herein, we used single nucleotide polymorphisms (SNPs) called from the whole-genome sequencing data of 46 Australian Boer goats to detect polymorphisms and identify genomic regions related to muscle development in comparison with those of 81 non-specialized meat goat individuals from Europe, Africa, and Asia. A total of 13 795 202 SNPs were identified, and the whole-genome selective signal screen with a π ratio of nucleotide diversity (π_case /π_control ) and pairwise fixation index (F_ST ) was analyzed. Finally, we identified 1741 candidate selective windows based on the top 5% threshold of both parameters; here, 449 candidate genes were only found in 727 of these regions. A total of 433 genes out of the 449 genes obtained were annotated to 2729 gene ontology terms, of which 51 were directly linked to muscle development (e.g., muscle organ development, muscle cell differentiation) by 30 candidate genes (e.g., JAK2, KCNQ1, PDE5A, PDLIM5, TBX5). In addition, 246 signaling pathways were annotated by 178 genes, and two pathways related to muscle contraction, including vascular smooth muscle contraction (ADCY7, PRKCB, PLA2G4E, ROCK2) and cardiac muscle contraction (CACNA2D3, CASQ2, COX6B1), were identified. The results could improve the current understanding of the genetic effects of artificial selection on the muscle development of goat. More importantly, this study provides valuable candidate genes for future breeding of goats.

Effects of creep feeding and its interactions with other factors on the performance of meat goat kids and dams when managed on pasture

Creep feeding and its possible interactions with other influential factors (genetics, litter type, and sex) for weaning traits were studied in meat goat kids and their dams. Kids across 3 yr were creep fed (254 kids; 5 pens) or not creep fed (255 kids; 5 pens) from 30 to 90 d of age. Creep-fed kids had higher (P ≤ 0.05) preweaning average daily weight gain and weaning weights (113.1 ± 13.0 g/d; 15.0 ± 0.8 kg) than kids not creep fed (99.8 ± 13.1 g/d; 14.0 ± 0.8 kg). However, financial returns were not higher (P > 0.05) for creep-fed kids compared with kids not creep fed. There was no difference (P > 0.05) in kid conformation score or survival rates between the treatment groups. The only important interaction among kid traits was treatment × litter type (P < 0.05) for FAMACHA scores. Within noncreep pens, single kids had lower (better; P < 0.05) FAMACHA scores (2.9 ± 0.3) than twin kids (3.9 ± 0.3). There was no litter-type effect on FAMACHA scores for kids within the creep feed pens. Dams of the creep-fed (n = 175) and noncreep (n = 178) kids were also evaluated. Treatment did not affect (P > 0.05) litter weights, dam weight change, gross revenue for weaned litters, or fecal egg counts. Treatment interacted with litter type (P < 0.05) to effect packed cell volume (PCV). In the noncreep group, dams raising singles had higher (better; P < 0.05) PCV (18.7 ± 1.3%) than dams rearing twin kids (15.7 ± 1.3%). The litter-type effect on dam PCV was not evident (P > 0.05) in the creep-fed group. Creep feeding improved some kid growth traits but did not improve dam traits or financial returns. Interactions of creep treatment with other factors were minimal for doe-kid traits.