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1.
Trop Anim Health Prod ; 56(2): 101, 2024 Mar 13.
Article in English | MEDLINE | ID: mdl-38478351

ABSTRACT

The aim of the present study was to analyze the effects of visual morphological classification based on body structure, maturity, and musculosity on the morphometry of the reproduction system and productive parameters of beef heifers. The study was conducted for 84 days, during winter season in Brazil. Thirty non-pregnant Nellore heifers, with an average body weight 338 kg and average age 18 months, were used for the study. The heifers were housed in collective pens and fed corn silage (70%) and concentrate (30%) twice a day. All heifers were weighed weekly without prior fasting. Morphological evaluation of body structure, maturity, and musculosity was conducted in the third-middle of the experimental period by a trained evaluator, adopting a comparative methodology of visual evaluation on a scale from 1 to 6, and the heifers were classified according to the visual assessment. The effects of visual classification, time, and interactions were analyzed, considering significant effects was detected (p < 0.05). The significant (p < 0.05) results obtained were compared using Tukey test. Morphological classification did not influence the morphometry of the reproductive system or implied on time interactions. Body structure, maturity, and musculosity had no effect on dry matter intake, body weight gain, feed efficiency, and carcass dressing. However, body weight and feed efficiency were influenced by the experimental time. For both variables, significant variations were detected after 63 days of finishing in the feedlot (p < 0.001), indicating that maximum productive efficiency of feedlot-finished Nellore beef heifers was achieved at a mean body weight of 424 kg.


Subject(s)
Animal Feed , Diet , Cattle , Animals , Female , Diet/veterinary , Animal Feed/analysis , Silage , Body Weight , Genitalia
2.
Reprod Domest Anim ; 57(4): 393-401, 2022 Apr.
Article in English | MEDLINE | ID: mdl-34967972

ABSTRACT

The present study compared the outcomes of in vivo embryo production in Morada Nova ewes subjected to either 9-day (G-9SOV , n = 21) or 12-day (G-12SOV , n = 21) progesterone (P4 )-based estruses synchronization protocol coupled with superovulatory treatment with decreasing doses of porcine follicle-stimulating hormone (133 mg of pFSH given over 3 days). Non-surgical embryo recovery (NSER) was performed 6-7 days after the onset of oestrus. Total antral follicle count doubled from the first to the sixth pFSH dose in both groups (p < .05). Oestrus responses did not vary between the two groups of animals (95.2%). Corpora lutea (CL) were detected in 85.0% and 60.0% of ewes that previously manifested oestrus behaviour in G-9SOV and G-12SOV respectively. NSER was successfully completed in 86.2% of ewes that had CL (p > .05). The mean number of CL per ewe/successfully flushed donor ewe was greater (p < .05) in G-12SOV (12.3 ± 1.7/12.1 ± 1.9) than in G-9SOV (7.9 ± 1.4/8.2 ± 1.6). Mean numbers of retrieved blastocysts and viable embryos were greater (p > .05) in G-12SOV (5.8 ± 1.9 and 3.7 ± 1.7) than G-9SOV (3.5 ± 1.1 and 0.8 ± 0.3 respectively). The total follicle count (all follicles ≥2 mm in diameter) at the sixth pFSH dose (at P4 -device removal) was positively correlated (p < .05) with the number of CL (r = .95) and viable embryos (r = .91) in G-12SOV . The ewes with ≥10 Cl (48% of all flushed donors) yielded 80.5% of viable embryos. In summary: (a) Morada Nova ewes from G-12SOV group had better superovulatory responses compared with G-9SOV group; (b) total follicle count at the last pFSH dose was a good predictor of superovulatory responses only in the ewes primed with P4 for 12 days; and (c) animals with ≥10 ovulations are main contributors to viable embryo production in Morada Nova ewes.


Subject(s)
Estrus Synchronization , Superovulation , Animals , Corpus Luteum , Female , Follicle Stimulating Hormone , Ovarian Follicle , Sheep , Superovulation/physiology , Swine
3.
Reprod Domest Anim ; 56(5): 775-782, 2021 May.
Article in English | MEDLINE | ID: mdl-33606307

ABSTRACT

The aim of the present study was to evaluate the effects of zearalenone (ZEA) on the reproductive system morphometry, oestrogen (E2) levels and oocyte quality of beef heifers. Twenty non-pregnant purebred Nellore (Bos indicus) heifers [age, ≥18 months; initial body weight, 348 ± 30 kg (mean ± standard deviation)] were used. The animals were randomly divided into experimental group and a control group of 10 animals each. Group experimental was administered 300 ppb ZEA per os for 98 days, and the control group was administered placebo per os for 98 days. The administration of ZEA was carried out daily by adding mycotoxin to the diet. All heifers were evaluated weekly via rectal ultrasound examinations (12 weeks). Diameters of the right and left uterine horns, right and left ovaries, largest antral follicle and corpus luteum were measured. Vulva size was also measured. Blood samples were collected to estimate E2 levels. At the end of 12 weeks, the heifers were slaughtered, and the ovaries were sent to the laboratory for in vitro embryo production. A completely randomized design was adopted, and repeated measures analysis of variance (p < .05) was performed (except for oocyte quality). Vulva size (p = .0985); diameters of uterine horns (p = .0522), ovaries (p = .6955), antral follicles (p = .6355) and corpus luteum (p = .3808); and E2 levels (p = .3379) were not affected by the treatments. ZEA-contaminated diet significantly reduced (p = .05) the proportion of viable oocytes (49.4%, n = 207) compared with the control diet (59.9%, n = 222); however, the blastocyst rate did not differ between the groups (p = .9418). The results indicate that contamination of beef heifer's diet with 300 ppb ZEA affected neither morphometric parameters nor plasma oestrogen levels; however, ZEA contamination was detrimental to oocyte quality.


Subject(s)
Genitalia, Female/drug effects , Oocytes/drug effects , Zearalenone/toxicity , Animal Feed/toxicity , Animals , Cattle , Embryo Culture Techniques/veterinary , Estrogens/blood , Female , Food Contamination , Genitalia, Female/diagnostic imaging , In Vitro Oocyte Maturation Techniques/veterinary , Random Allocation , Tissue and Organ Harvesting/veterinary
4.
Trop Anim Health Prod ; 52(1): 273-281, 2020 Jan.
Article in English | MEDLINE | ID: mdl-31372883

ABSTRACT

The objective of this study was to investigate the relationship among functional traits (age at first calving (AFC), calving interval (CI), reproductive efficiency (RE), total milk yield (TMY), and lactation period (LP)) in Red Sindhi breed through multivariate techniques. For this goal, performance data provided by the Brazilian Association of Zebu Breeders related to 560 Red Sindhi dairy cattle from 28 different herds in Brazil, born in the period from 1987 to 2011, were used. Principal component analysis with correlation matrix was used to find the relationship among AFC, CI, RE, TMY, and LP. It was found that for all functional traits, first 3 principal components explained more than 90% of the total variation. Clustering analysis was performed based on Tocher method, and results showed physiological relationships among functional traits. By cluster analysis, twelve different groups were generated from the pool of Sindhi herds analyzed, with a great homogeneity among females for the traits evaluated and only few females generating separate groups. Four hundred and twenty-nine females were clustered in one group, representing 76.60% of the genotypes. Total milk yield (TMY) showed 71.92% of the total variation, and age at first calving (AFC) contributed with 23.06% of the variation, being the two most important traits for the variability of the data set. In conclusion, the multivariate procedures were effective in generating the correlations among the functional traits, showing that CI is correlated with RE and all these functional traits are related with total milk yield.


Subject(s)
Fertility/genetics , Lactation/genetics , Reproduction/genetics , Animals , Brazil , Breeding , Cattle , Cluster Analysis , Female , Genotype , Milk , Parturition , Phenotype , Pregnancy , Principal Component Analysis
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