Evaluation of growth traits of Aceh cattle at the breeding station in Indrapuri District of Indonesia

Abstract

The present study was conducted using records on four breeding bulls maintained at the Indrapuri's Breeding and Forages Center (IBFC) of Aceh Cattle, Indrapuri district, Indonesia and 52 of their progeny born from 2010 to 2014 through natural mating. Family selection was practiced in this breeding station.Traits included in this study were birth weight at 0 day (BWc), weaning weight at 205 days of age (WWc), yearling weight at 365 days of age (YWc) and final weight at 550 days of age (FWc) Research showed that best relative accuracy value (RA>1.00) reached in BW C. but its trait was not effective as selection criterion because of lower h 2 value. It was concluded that WW C could be used as selection criterion for breeding bulls based on the similar estimated breeding value (EBV) rank and high h 2 value. The EBV of WW C from breeding bull ID: 0752 was calculated and ranked accordingly. The EBVs of three top bulls ID were 100412 (10.32 kg), 100520 (9.38 kg) and 100317 (6.75 kg) and three top heifers were 100526 (9.65 kg), 100408 (7.04 kg) and 100807 (5.20 kg). It can be concluded that these top ranking three bulls and heifers can be selected and used in the breeding programs.

Selection of Bali cattle based on birth weight and calving interval records at West Nusa Tenggara Province of Indonesia

“…Therefore, low RA value in a bull indicates that selection in this bull is not accurate because of less number of progeny for analysis. (Putra et al, 2015).…”

“…In this study, two records data of birth weight and calving interval were used to select Bali cattle in West Nusa Tenggara (WNT) province. Previous studies reported that BW of calves can be used as the selection criteria to select the best cattle (Bakir et al, 2004;Putra et al, 2015;Said et al, 2016). Moreover, the genetic correlation (rg) between birth and weaning weights in cattle were included of moderate to high categories (rg > 0.50) such as Brangus (0.78), Fogera (0.60) and 0.87 for Sumba Ongole (Neser et al, 2012;Bekele et al, 2016;Putra et al, 2018).…”