Genetic analysis for piglet loss at birth and its association with other economic traits of commercial sows

Name: Praew Thiengpimol

LCSH: Kasetsart University -- Dissertations. Ph.D. (Animal Science) 2021

Classification :.LCCS: SF396.5

LCSH: Kasetsart University. -- Department of Animal Science -- Dissertations

LCSH: Swine -- Feeding and feeds

LCSH: Swine -- Genetics

LCSH: Piglets

Abstract: Piglet loss at birth is an important economic trait for commercial pig production. Understanding its variation, influenced factors, genetic parameters, and occurrence pattern across parities would help suitable management and the business. Pedigree and reproductive performance data of 1,160 multiparous Landrace sows farrowed between March 2010 and January 2019 were used to characterize the proportion of piglet loss at birth (PPL) and to estimate genetic parameters for PPL, number of total born piglets (NTB), and litter birth weight (LBW) using the average information restricted maximum likelihood (AI-REML) algorithm with a multiple trait repeatability animal model. The records of backfat thickness (BF) and body weight (BW) at 28 weeks old of 806 Landrace gilts were combined into the dataset to examine genetic correlations between BF and BW at the pre-selective stage and PPL at the 1st parity by AI-REML algorithm with a multiple trait animal model. Lastly, the consecutive PPL records from parities 1 to 9 of 258 Landrace sows were used to examine the pattern and find out the best fitted model for their pattern across parities by considering mean differences between the predicted and the actual values. Based on our investigation, Landrace sows lost their piglets at birth 10.98% of NTB (11.85 piglets). Year-season at farrowing, parity, and age at first farrowing had significant effect on PPL (P < 0.001). Heritability (0.03 ± 0.01) and repeatability (0.05 ± 0.01) for PPL were low. Genetic correlation between PPL and LBW was high and negative (-0.73 ± 0.18). Unfortunately, genetic correlations between PPL at the 1st parity and BF and BW at the pre-selective stage were unclear due to high standard error. Mean for PPL declined from the 1st parity (13.25% of NTB) to the lowest at the 2nd parity (7.56% of NTB) and then increased continuously to the 8th parity (16.59% of NTB). This PPL pattern could be most suitably explained by the 3rd degree polynomial model. These results indicated benefit of considering PPL for commercial pig production. To genetically improve PPL in a pig population, high accurate pedigree and consecutive records of the individuals as same as enhancing uniformity of farm management during production period are needed.

Kasetsart University. Office of the University Library

Address: Bangkok

Email: tdckulib@ku.ac.th

Name: Thanathip Suwanasopee

Role: Thesis Advisor

Name: Skorn Koonawootrittriron

Role: Thesis CO-Advisor

Created: 2021

Modified: 2025-07-26

Issued: 2025-07-26

วิทยานิพนธ์/Thesis

application/pdf

URL: https://www.lib.ku.ac.th/KUthesis/2564/praew-thi-all.pdf

CallNumber: SF396.5 .P73

eng

DegreeName: Doctor of Philosophy

Level: Doctoral Degraee

Descipline: Animal Science

Grantor: Kasetsart University

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