Literature DB >> 33309360

Genetic analysis of resilience indicators based on milk yield records in different lactations and at different lactation stages.

M Poppe1, G Bonekamp2, M L van Pelt3, H A Mulder2.   

Abstract

Resilience is the ability of cows to cope with disturbances, such as pathogens or heat waves. To breed for improved resilience, it is important to know whether resilience genetically changes throughout life. Therefore, the aim was to perform a genetic analysis on 2 resilience indicators based on data from 3 periods of the first lactation (d 11-110, 111-210, and 211-340) and the first 3 full lactations, and to estimate genetic correlations with health traits. The resilience indicators were the natural log-transformed variance (LnVar) and lag-1 autocorrelation (rauto) of daily deviations in milk yield from an expected lactation curve. Low LnVar and rauto indicate low variability in daily milk yield and quick recovery, and were expected to indicate good resilience. Data of 200,084 first, 155,784 second, and 89,990 third lactations were used. Heritabilities were similar based on different lactation periods (0.12-0.15 for LnVar, 0.05-0.06 for rauto). However, the heritabilities of the resilience indicators based on full first lactation were higher than those based on lactation periods (0.20 for LnVar, 0.08 for rauto), due to lower residual variances. Heritabilities decreased from 0.20 in full lactation 1 to 0.19 in full lactation 3 for LnVar and from 0.08 to 0.06 for rauto. For LnVar, as well as for rauto, the strongest genetic correlation between lactation periods was between period 2 and 3 (0.97 for LnVar, 0.96 for rauto) and the weakest between period 1 and 3 (0.81 for LnVar, 0.65 for rauto). Similarly, for both traits the genetic correlation between full lactations was strongest between lactations 2 and 3 (0.99 for LnVar, 0.95 for rauto) and weakest between lactations 1 and 3 (0.91 for LnVar, 0.71 for rauto). For LnVar, genetic correlations with resilience-related traits, such as udder health, ketosis, and longevity, adjusted for correlations with milk yield, were almost always favorable (-0.59 to 0.02). In most cases these genetic correlations were stronger based on full lactations than on lactation periods. Genetic correlations were similar across full lactations, but the correlation with udder health increased substantially from -0.31 in lactation 1 to -0.51 in lactation 3. For rauto, genetic correlations with resilience-related traits were always favorable in lactation period 1 and in most full lactations, but not in the other lactation periods. However, correlations were weak (-0.27 to 0.15). Therefore, as a resilience indicator for breeding, LnVar is preferred over rauto. A multitrait index based on estimated breeding values for LnVar in lactations 1, 2, and 3 is recommended to improve resilience throughout the lifetime of a cow. The Authors. Published by Elsevier Inc. and Fass Inc. on behalf of the American Dairy Science Association®. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Entities:  

Keywords:  dairy cow; genetics; lactation stage; resilience

Year:  2020        PMID: 33309360     DOI: 10.3168/jds.2020-19245

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  5 in total

1.  Development of resilience indicator traits based on daily step count data for dairy cattle breeding.

Authors:  Marieke Poppe; Han A Mulder; Mathijs L van Pelt; Erik Mullaart; Henk Hogeveen; Roel F Veerkamp
Journal:  Genet Sel Evol       Date:  2022-03-14       Impact factor: 4.297

2.  Impact of selection for birth weight variability on reproductive longevity: A mice model.

Authors:  Nora Formoso-Rafferty; Juan Pablo Gutiérrez; Andrés García-Álvarez; Teresa Pérez; Isabel Cervantes
Journal:  J Anim Breed Genet       Date:  2022-03-19       Impact factor: 3.271

3.  A genome-wide screen for resilient responses in growing pigs.

Authors:  Houda Laghouaouta; Lorenzo Fraile; Rafael Suárez-Mesa; Roger Ros-Freixedes; Joan Estany; Ramona Natacha Pena
Journal:  Genet Sel Evol       Date:  2022-07-04       Impact factor: 5.100

4.  Genetic parameters and genome-wide association for milk production traits and somatic cell score in different lactation stages of Shanghai Holstein population.

Authors:  Dengying Liu; Zhong Xu; Wei Zhao; Shiyi Wang; Tuowu Li; Kai Zhu; Guanglei Liu; Xiaoduo Zhao; Qishan Wang; Yuchun Pan; Peipei Ma
Journal:  Front Genet       Date:  2022-09-05       Impact factor: 4.772

5.  Genome-wide association study of disease resilience traits from a natural polymicrobial disease challenge model in pigs identifies the importance of the major histocompatibility complex region.

Authors:  Jian Cheng; Rohan Fernando; Hao Cheng; Stephen D Kachman; KyuSang Lim; John C S Harding; Michael K Dyck; Frederic Fortin; Graham S Plastow; PigGen Canada; Jack C M Dekkers
Journal:  G3 (Bethesda)       Date:  2022-03-04       Impact factor: 3.542

  5 in total

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