Selection Indices for Milk Traits in Holstein–Friesian Cows: A Comparison of Relative Economic Value Methods

Selection indices enhance dairy cattle breeding by optimizing multiple traits simultaneously. This study analyzed 2181 lactation records from Holstein–Friesian cows at Sakha Experimental Farm, Egypt, to evaluate selection indices for 305-day milk yield (MY), fat yield (FY), and protein yield (PY) using two relative economic value (REV) methods: actual economic values (REV1) and one phenotypic standard deviation (REV2). Using MTDFREML software, we estimated heritabilities of 0.27 ± 0.01 (MY), 0.22 ± 0.01 (FY), and 0.28 ± 0.02 (PY). Four selection indices were constructed based on actual relative economic values (REV1) and one phenotypic standard deviation (REV2). The comprehensive index (I1) incorporated all three key production traits, viz., MY, FY, and PY, to maximize the genetic merit of the aggregate genotype. In contrast, the reduced indices (I2, I3, and I4) included only two traits each. The I2 incorporated MY and FY, the I3 included MY and PY, and the I4 included FY and PY. The index I1 (including all traits) yields the highest genetic gains (305 kg MY, 14.0 kg FY, 11.93 kg PY per generation). Both REV methods produced comparable genetic gains, but REV2 is recommended for its computational simplicity. These findings support the use of selection indices for genetic improvement in Holstein–Friesian cows, offering practical guidance for dairy breeding programs in Egypt and similar environments.

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Publication Details

Journal
Ruminants
Published
2025-09-01
DOI
https://doi.org/10.3390/ruminants5030040
Citations
2
Primary Topic
Genetic and phenotypic traits in livestock
Type
article
Field-Weighted Citation Impact
3.63
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article

Selection Indices for Milk Traits in Holstein–Friesian Cows: A Comparison of Relative Economic Value Methods

Oludayo Michael Akinsola, Elsayed A. Omer, M. El–Arian, Ahmed Hussein et al.
2 citations
Ruminants
Genetic and phenotypic traits in livestock
3.63
article

Selection Indices for Milk Traits in Holstein–Friesian Cows: A Comparison of Relative Economic Value Methods

Oludayo Michael Akinsola, Elsayed A. Omer, M. El–Arian, Ahmed Hussein, Aranganoor Kannan Thiruvenkadan, F. Farrag, A. S. Khattab
article en
2 citations

Abstract

Selection indices enhance dairy cattle breeding by optimizing multiple traits simultaneously. This study analyzed 2181 lactation records from Holstein–Friesian cows at Sakha Experimental Farm, Egypt, to evaluate selection indices for 305-day milk yield (MY), fat yield (FY), and protein yield (PY) using two relative economic value (REV) methods: actual economic values (REV1) and one phenotypic standard deviation (REV2). Using MTDFREML software, we estimated heritabilities of 0.27 ± 0.01 (MY), 0.22 ± 0.01 (FY), and 0.28 ± 0.02 (PY). Four selection indices were constructed based on actual relative economic values (REV1) and one phenotypic standard deviation (REV2). The comprehensive index (I1) incorporated all three key production traits, viz., MY, FY, and PY, to maximize the genetic merit of the aggregate genotype. In contrast, the reduced indices (I2, I3, and I4) included only two traits each. The I2 incorporated MY and FY, the I3 included MY and PY, and the I4 included FY and PY. The index I1 (including all traits) yields the highest genetic gains (305 kg MY, 14.0 kg FY, 11.93 kg PY per generation). Both REV methods produced comparable genetic gains, but REV2 is recommended for its computational simplicity. These findings support the use of selection indices for genetic improvement in Holstein–Friesian cows, offering practical guidance for dairy breeding programs in Egypt and similar environments.

RuminantsVol. 5(3)
Mansoura University (EG), University of Jos (NG), Tanta University (EG), Poultry Research Institute (CN), Ministry of Agriculture (LV)
Openalex Percentile: Top 7%
Genetic and phenotypic traits in livestock
3.63
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Selection Indices for Milk Traits in Holstein–Friesian Cows: A Comparison of Relative Economic Value Methods — Oludayo Michael Akinsola, Elsayed A. Omer, et al. · Ruminants (2025) | TGRS Research Map | TGRS