The effects of genetic factors on the lactation traits of the Azawak cattle breed are estimated from 11,998 monthly milk records from 1275 complete lactations from 471 Azawak cows bred at the Toukounous experimental centre (Niger), using a multi-trait animal model based on the REML method. The results show that heritability was moderate for persistency (h = 0.23), peak lactation (h = 0.34), milk yield at 305 days (h = 0.30), daily milk yield (h = 0.33) and total milk yield (h = 0.35). In addition, very high repeatability estimates ranging from 0.50 to 0.58 were associated with the last four traits. Significant phenotypic correlations varying from 0.23 to 0.40 existed between the two reproductive traits (age at first calving and calving interval) and the lactation traits. Similarly, the significant genetic correlations between the traits of milk production and reproduction traits were unfavorable, varying according to the lactation traits considered from 0.32 to 0.87 for age at first calving and from 0.48 to 0.97 for calving interval, indicating that selection for milk yield only should result in a longer calving interval and a later age at first calving. Estimates of the heritability of lactation traits are moderate, as are those of many functional reproductive traits, so the genetic gain from selection on milk production traits alone would be rapid, but antagonistic with reproductive performance.
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http://dx.doi.org/10.1016/j.vas.2024.100365 | DOI Listing |
J Anim Sci
January 2025
Selko USA, Indianapolis, IN 46231, USA.
Seventy-two non-lactating, pregnant Angus cows (initial body weight (BW) = 637 ± 13 kg; body condition score (BCS) = 5.5 ± 0.07 yr; and age = 6.
View Article and Find Full Text PDFInt J Biol Macromol
December 2024
Shaanxi Key Laboratory of Molecular Biology for Agriculture, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China. Electronic address:
Milk production is the most important economic trait of dairy goats and a key indicator for genetic improvement and breeding. However, milk yield is a complex phenotypic trait, and its genetic mechanisms are still not fully understood. This study focuses on dairy goats and non-dairy goats.
View Article and Find Full Text PDFAnimal
December 2024
Institute of Animal Science and Technology, Universitat Politècnica de València, Camino de Vera, s/n. 46022 Valencia, Spain.
Genetic selection for growth rate has often been related with potential negative effects on various reproductive traits across different species. Using rabbit as a model, this study has evaluated for the first time how genetic selection for growth rate has affected feed efficiency, resource allocation, blood traits, reproductive performance and survival during five reproductive cycles in rabbit does. To this end, we used 88 reproductive rabbit females from two vitrified and rederived populations of the same paternal line, differing only in 18 generations of genetic selection for growth rate (n = 44 for R19V and n = 44 for RV37V).
View Article and Find Full Text PDFJ Dairy Sci
December 2024
Sistema Lechero, Instituto Nacional de Investigación Agropecuaria, Ruta 50 km 11, CP 70002 Colonia, Uruguay. Electronic address:
The purpose of this experiment was to evaluate the transference of passive immunity (TPI) and growth achieved by calves born to dams with low or high SCC at dry-off and fed with colostrum from cows with low or high SCC at dry-off. Forty multiparous (3.2 lactations; SD = 1.
View Article and Find Full Text PDFBMC Genomics
December 2024
Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, Laboratory of Animal Fat Deposition & Muscle Development, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Background: Teat number is one of the most important indicators to evaluate the lactation performance of sows, and increasing the teat number has become an important method to improve the economic efficiency of farms. Therefore, it is particularly important to deeply analyze the genetic mechanism of teat number traits in pigs. In this study, we detected Single Nucleotide Ploymorphism (SNP), Insertion-Deletion (InDel) and Structural variant (SV) by high-coverage whole-genome resequencing data, and selected teat number at birth and functional teat number as two types of teat number traits for genome-wide association study (GWAS) to reveal candidate genes associated with pig teat number traits.
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