Genetic evaluation for reproductive and productive traits in Brahman cattle

Bessa, Ayrton Fernandes de Oliveira; Duarte, Igor Nelson Herculano; Rola, Luciana Diniz; Bernardes, Priscila Arrigucci; Neto, Severino Gonzaga; Lôbo, Raysildo Barbosa; Munari, Danísio Prado; Buzanskas, Marcos Eli

doi:10.1016/j.theriogenology.2021.08.008

Cited by 7 publications

(5 citation statements)

References 37 publications

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“…PO is a local beef cattle breed that is well-developed in Indonesia due to its capability to adapt to poor environments and still exhibit good reproductive performance, particularly on Java Island [6][7][8]. Brahman is another popular beef cattle breed with a high daily body weight gain and carcass percentage [9]. Brahman cattle are well known for their good growth rates and are easily raised in the tropics [10].…”

Section: Introductionmentioning

confidence: 99%

Characteristics of body weight and measurement of Peranakan Ongole and Brahman cattle in the tropics

Bramastya

Sukaryo

Dhiaurridho

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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Peranakan Ongole (PO) and Brahman are beef cattle breeds that are well-adapted to the tropics. The objective of this study was to evaluate the growth traits of PO and Brahman, therefore, a total of 70 cows raised in Balai Pembibitan Ternak Unggul-Hijauan Pakan Ternak (BPTU-HPT) Sembawa were selected. Subsequently, body weight and length, withers and waist height, as well as chest girth were measured at birth, 105 and 205 days, 1, 1.5, and 2 years of age. Statistical analysis using an independent sample t-test was carried out to distinguish growth traits between PO and Brahman. The results revealed that they were significantly different (P<0.05). PO had a larger body size than Brahman, particularly in terms of the withers height at 105 days, 1 and 2 years, chest girth at a year, and waist height at 105 and 205 days, 1, 1.5, and 2 years. Conversely, Brahman showed better traits than PO in terms of body weight and withers height at birth, weaning and body weight at 2 years, and average daily gain (ADG) at 205 days, 1.5, and 2 years.

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Section: Introductionmentioning

confidence: 99%

Characteristics of body weight and measurement of Peranakan Ongole and Brahman cattle in the tropics

Bramastya

Sukaryo

Dhiaurridho

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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“…Among other things, back fat thickness, rib eye area, and rump fat thickness were evaluated. The authors find no evidence that inbreeding has a negative effect on these parameters (Bessa et al, 2021).…”

Section: Discussionmentioning

confidence: 81%

Inbreeding in the Zwartbles breed population and its influence on meat production in the Czech Republic

Filipčík,

Falta,

Sokolová

et al. 2023

Arch. Anim. Breed.

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Abstract. The aim of this study was to estimate the inbreeding coefficient in the Zwartbles sheep population in the Czech Republic, as well as to investigate the effect of inbreeding on meat yield indicators. The analysis used data on the entire population since 1997, with the original database containing 13 150 animals. In this population, the average inbreeding coefficient is 3.64 %. There is a significant increase in inbreeding – from zero values to more than 4 % between 1997 and 2021. The effect of inbreeding on the weight of the animals at 100 d of age, the weight at bonitation prior to breeding, the thickness of the musculus longissimus dorsi (MLD), the thickness of the subcutaneous back fat, and the fleshiness of the animals were all evaluated. The value of the inbreeding coefficient had a statistically significant effect on weight at 100 d, MLD thickness, and back fat thickness. A negative relationship between inbreeding and all of these parameters was found when the inbreeding coefficient was increased by 1 %, resulting in a 60.2 g weight reduction at 100 d, 0.06 mm reduction in MLD thickness, and 0.013 mm reduction in back fat thickness.

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“…Consequently, selection to increase growth affected LMA and SI. Although genetic correlations of WWd and YW with AFC (−0.47 and −0.44) and STAY (0.59 and 0.38) are moderate to high, the heritability of AFC (0.10) and STAY (0.14) are low (Bessa et al, 2021) and significant indirect responses (for reproductive traits) to selection (for growth traits) are not immediate.…”

Section: Resultsmentioning

confidence: 99%

“…In general, the success of animal breeding and reproductive technologies has been evaluated by estimating the genetic trends for economic traits in populations (Bessa et al, 2021; García‐Ruiz et al, 2016), while little or no attention had been paid to the variability in average genetic merit across herds within populations. Although breeders participating in the same breeding program share some common interests and information, they differ in the willingness to adopt some breeding and reproductive technologies.…”

Section: Introductionmentioning

confidence: 99%

Benchmarking in a beef cattle breeding program: Lessons from the best breeders

Toral

Menezes

Silva

et al. 2023

J Animal Breeding Genetics

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Beef cattle breeding programs offer genetic evaluations and consulting services on animal breeding practices to help breeders improve the genetic merit of their herds. Some breeders are more willing to apply best practices and technologies than others. Consequently, the average genetic merit and genetic trends differ across herds. We benchmarked some parameters of an average herd (AVE) and the corresponding parameters of herds with higher genetic merit (TOP), both participating in a commercial Nellore breeding program. Expected progeny differences (EPD) for growth, reproductive and carcass traits and a selection index (SI) of animals born from 2005 to 2019 on 128 farms located in Brazil, Bolivia and Paraguay were used to compute the AVE parameters. The 20 herds with higher mean SI of animals born in the last five birth seasons were classified as TOP herds. The mean SI and EPD of animals born in the last five seasons in the TOP herds were, respectively, 89% and 79% to 206% higher (p ≤ 0.001) than those of animals from the AVE herd. Genetic trends over the entire period were also higher (50% for SI and 31% to 88% separately for each trait, p ≤ 0.006) in the TOP herds compared to the AVE herd. Although the difference in the numbers of cows, bulls and calves between the TOP and AVE herds did not reach statistical significance (p = 0.175, p = 0.273 and p = 0.061, respectively), the numbers of progeny per cow and per bull were 21% (p = 0.012) and 26% (p = 0.047) higher in the TOP herds, respectively. Multiple ovulation and embryo transfer and in vitro fertilization and embryo transfer (MOET/IVF) accounted for a higher percentage of births in the TOP herds compared to AVE (24.6% vs. 12.5%, p = 0.002). The generation interval was 17% shorter (p < 0.001) in the TOP herds compared to AVE. The average inbreeding coefficient of animals from the TOP herds (1.08 ± 0.52%) did not differ (p = 0.78) from that of AVE animals (1.26 ± 0.96%). In general, AVE herds are evolving in the desirable direction but differences in genetic merit between AVE and TOP herds are increasing over time. The more frequent use of MOET/IVF, a lower cow‐to‐bull ratio, and a larger family size (progeny per cow or per bull) can help achieve larger selection differentials and increase genetic trends and average genetic merits of TOP herds compared to AVE herds.

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Genetic evaluation for reproductive and productive traits in Brahman cattle

Cited by 7 publications

References 37 publications

Characteristics of body weight and measurement of Peranakan Ongole and Brahman cattle in the tropics

Characteristics of body weight and measurement of Peranakan Ongole and Brahman cattle in the tropics

Inbreeding in the Zwartbles breed population and its influence on meat production in the Czech Republic

Benchmarking in a beef cattle breeding program: Lessons from the best breeders

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