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Sumba Ongole (Bos indicus) is a native beef cattle that adapts well in Sumba Island of Indonesia. This study was carried out to perform a genome-wide association study for body weight (BW) and carcass weight (CW) in Sumba Ongole (SO) bulls. A total of forty-eight (n=48) SO bulls were used in this study. The data were collected from the slaughterhouse at Bogor City, West Java, Indonesia, and were analyzed using a genomic software of TASSEL 5.0 to obtain the best genetic marker. The result showed that the threshold Manhattan plot (-Log10P3) was used to select SNP markers for BW and CW in SO bulls. The two (2) SNP markers at BTA1, i.e., ARS-BFGL-NGS-3162 (CEP63 gene) and ARS-BFGL-NGS-78232 were significantly associated with BW and CW, respectively. Nonetheless, the genetic diversity in both SNP markers was low, with a PIC value of less than 0.30. In conclusion, the heterozygous TG bulls in CEP63 gene have higher CW than homozygous TT bulls. [ABSTRACT FROM AUTHOR]

The objective of this study was to investigate the association of single nucleotide polymorphisms (SNPs) with birth weight, weight gain from birth to weaning and from weaning to yearling, yearling height and cow weight in Nelore cattle. Data from 5064 animals participating in the DeltaGen and PAINT breeding programs were used. The animals were genotyped with a panel of 777 962 SNPs (Illumina BovineHD BeadChip) and 412 993 SNPs remained after quality control analysis of the genomic data. A genome-wide association study was performed using a single-step methodology. The analyses were processed with the BLUPF90 family of programs. When applied to a genome-wide association studies, the single-step GBLUP methodology is an iterative process that estimates weights for the SNPs. The weights of SNPs were included in all analyses by iteratively applying the single-step GBLUP methodology and repeated twice so that the effect of the SNP and the effect of the animal were recalculated in order to increase the weight of SNPs with large effects and to reduce the weight of those with small effects. The genome-wide association results are reported based on the proportion of variance explained by windows of 50 adjacent SNPs. Considering the two iterations, only windows with an additive genetic variance >1.5% were presented in the results. Associations were observed with birth weight on BTA 14, with weight gain from birth to weaning on BTA 5 and 29, with weight gain from weaning to yearling on BTA 11, and with yearling height on BTA 8, showing the genes TMEM68 (transmembrane protein 8B) associated with birth weight and yearling height, XKR4 (XK, Kell blood group complex subunit-related family, member 4) associated with birth weight, NPR2 (natriuretic peptide receptor B) associated with yearling height, and REG3G (regenerating islet-derived 3-gamma) associated with weight gain from weaning to yearling. These genes play an important role in feed intake, weight gain and the regulation of skeletal growth. [ABSTRACT FROM AUTHOR]

Fertility traits are economically important in cattle breeding programs. Scrotal circumference (SC) measures are repeatable, easily obtained, highly heritable, and positively correlated with female fertility traits and sperm quality traits in males. A useful approach to summarize SC measures over time is using nonlinear models, which summarize specific measures of SC in a few parameters with biological interpretation. This approach facilitates the selection of bulls with larger SC and maturity index (K), that is, early maturing animals. Because SC is a sex-limited trait, identifying the underlying genomics of growth curve parameters will allow selection across both males and females. We reported the first multitrait genomewide association study (GWAS) of estimated growth curve parameters for SC data in Brahman cattle. Five widely used nonlinear models were tested to fit a total of 3,612 SC records, measured at 6, 12, 18, and 24 mo of age. The von Bertalanffy model, individually fitted for each animal, best fit this SC data. Parameter estimates SC at maturity (A) and K as well as SC at all ages were jointly analyzed in a GWAS to identify 1-Mb regions most strongly associated with each trait. Heritabilities were 0.25 for K and 0.32 for A and ranged from 0.51 to 0.72 for SC at 6 (SC6), 12 (SC12), 18 (SC18), and 24 mo of age (SC24). An overlapping window on chromosome 14 explaining around 0.8% of genetic variance for K, SC12, SC18, and SC24 was observed. The major positional candidate genes within 1 Mb upstream and downstream of this overlapping window were LYN, CHD7, RAB2A, and ARFGEF1. Windows of 1 Mb explaining more than 0.4% of each trait on chromosomes 1, 3, 6, 7, 14, 17, 18, 24, 25, and 26 were identified. Pathways and net-work analyses were indicated through transcription factors playing a role on fertility traits: SOX9, BRCA1, STAT3, NFE2L2, EGR1, PPARG, and NFKB1. Further validation studies on larger populations or other breeds are required to validate these findings and to improve our understanding of the biology and complex genetic architecture of traits associated with scrotal growth and male fertility in cattle. [ABSTRACT FROM AUTHOR]

The objective of this study was to estimate genetic associations between scrotal circumference obtained at 12 (SC12; mean of 21.46 ± 2.74 cm), 15 (SC15; mean of 25.31 ± 3.19 cm), and 18 mo of age (SC18; mean of 26.77 ± 2.95 cm) and reproductive traits measured directly in heifers (age at first calving [AFC]: mean of 1,062.06 ± 114.79 d; heifer pregnancy at 16 mo of age [HP]: mean of 15.4 ± 0.36%; and subsequent rebreeding of primiparous heifers [HR]: mean of 27.1 ± 0.44%) using Bayesian inference to evaluate the possible inclusion of these traits as selection criteria in beef cattle breeding programs. Genetic gains comparisons were also estimated. A total of 53,683 data of Nelore animals born between 1990 and 2006, obtained from the livestock archive of Agropecuária Jacarezinho Ltda. (Valparaíso, São Paulo, Brazil), were analyzed. Two-trait analysis provided heritability estimates of 0.35 ± 0.08, 0.40 ± 0.04, 0.37 ± 0.03, 0.21 ± 0.01, 0.55 ± 0.03, and 0.17 ± 0.03 for SC12, SC15, SC18, AFC, HP, and HR, respectively. The genetic correlations between scrotal circumference and AFC, HP, and HR were -0.42 ± 0.12, 0.43 ± 0.13, and -0.13 ± 0.17, respectively, for SC12; -0.25 ± 0.07, 0.26 ± 0.07, and -0.11 ± 0.10, respectively, for SC15; and -0.22 ± 0.06, 0.39 ± 0.06, and 0.11 ± 0.09, respectively, for SC18. The direct selection response for HP was 0.12%, but when HP is indirectly selected based on the scrotal circumferences, the gains on these correlated responses were higher (0.16, 0.16, and 0.22%) for selection based on SC12, SC15, and SC18, respectively. These findings suggest that the selection of animals for larger scrotal circumference, particularly at 12 mo of age, should result in higher rates of HP and younger AFC of Nelore females. [ABSTRACT FROM AUTHOR]