Economic values and selection index in different Angus‐Nellore cross‐bred production systems

Fernandes, Gisele Machado; Savegnago, Rodrigo Pelicioni; Faro, Lenira El; Roso, V. M.; Paz, Cláudia Cristina Paro de

doi:10.1111/jbg.12327

Cited by 7 publications

(2 citation statements)

References 25 publications

(38 reference statements)

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“…This is because this trait is linked to the amount of meat in the carcass, and the simulated systems presented bonus payment for the carcass quality, which directly influenced the profit. A similar result was observed by Fernandes et al (2018) in production systems for crossbred Nellore × Angus, where a greater carcass uniformity benefited the marginal profit.…”

Section: Discussionsupporting

confidence: 80%

Selection indexes for Nellore production system in the Brazilian Pantanal

Portes¹,

Menezes²,

Silva³

et al. 2021

Revista Brasileira De Zootecnia

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The objective was to develop selection indexes for Nellore cattle raised in full-cycle production system in the Brazilian Pantanal. The resulting offspring are retained as replacements or sold at two years of age. Preliminary analyses explored effects of scale on economic values (EV). However, given the available data, these effects were very small. Presented herein are results from a simulated system consisting of 5,000 cows with all animals maintained on pasture as is typical in Pantanal. The EV were determined by approximating the partial derivatives of the profit function, changing one trait at a time, by one unit, while keeping the other traits constant. Traits in the breeding objective were mature cow weight, direct and maternal weaning weight, postweaning average daily gain, subcutaneous fat depth, longissimus muscle area, and stayability. Economic values were calculated on the basis of number of animals (per head), number of animal units, and arroba of carcasss weight. Regardless of the basis, maternal weaning weight and subcutaneous fat depth made negligible contributions to the breeding objective. Proportions of variation in the breeding objectives (per head, per animal unit, per arroba) explained by cow weight, direct weaning weight, postweaning average daily gain, stayability, and longissimus muscle area were:

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Section: Discussionsupporting

confidence: 80%

Selection indexes for Nellore production system in the Brazilian Pantanal

Portes¹,

Menezes²,

Silva³

et al. 2021

Revista Brasileira De Zootecnia

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show abstract

“…Some (co) variance components between the objectives and selection criteria for Aberdeen Angus used in the current study had been estimated previously by Fernandes et al . (2018). The covariance components not found were assumed as zero in the simulation of the current study.…”

Section: Methodsmentioning

confidence: 99%

Multi-trait selection index and cluster analyses in Angus cattle

et al. 2021

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In breeding programmes, the genetic selection process is based on the prediction of animal breeding values, and its results may vary according to the employed selection method. The current study developed an economic selection index for animals of the Angus breed; performed cluster analyses using the breeding values in order to evaluate the genetic profile of the animals candidates to selection, and compared the obtained results between the economic selection index and the cluster analyses. The evaluated traits included weaning weight, 18-month weight, scrotal circumference, fat thickness and ribeye area. Economic values were obtained using bioeconomic modelling, simulating a complete cycle production system of beef cattle breeds in Brazil, and the selection objective were the weaning rate and slaughter weight. The chosen selection index was composed of all of the traits used as selection criteria for the simulated production system. During the cluster analyses, the population was divided into two to four groups, in which the groupings containing potential animals were assessed. The animals of the grouping which was used for comparison with the selection index were identified, and most of the bulls that were included in the index were among the best in the analysed group. These results suggest that the cluster analyses can be used as a tool for the selection of animals to be used as parents for future generations.

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