Literature DB >> 29293701

Heritability of methane emissions from dairy cows over a lactation measured on commercial farms.

M Pszczola, K Rzewuska, S Mucha, T Strabel.   

Abstract

Methane emission is currently an important trait in studies on ruminants due to its environmental and economic impact. Recent studies were based on short-time measurements on individual cows. As methane emission is a longitudinal trait, it is important to investigate its changes over a full lactation. In this study, we aimed to estimate the heritability of the estimated methane emissions from dairy cows using Fourier-transform infrared spectroscopy during milking in an automated milking system by implementing the random regression method. The methane measurements were taken on 485 Polish Holstein-Friesian cows at 2 commercial farms located in western Poland. The overall daily estimated methane emission was 279 g/d. Genetic variance fluctuated over the course of lactation around the average level of 1,509 (g/d), with the highest level, 1,866 (g/d), at the end of the lactation. The permanent environment variance values started at 2,865 (g/d) and then dropped to around 846 (g/d) at 100 d in milk (DIM) to reach the level of 2,444 (g/d) at the end of lactation. The residual variance was estimated at 2,620 (g/d). The average repeatability was 0.25. The heritability level fluctuated over the course of lactation, starting at 0.23 (SE 0.12) and then increasing to its maximum value of 0.3 (SE 0.08) at 212 DIM and ending at the level of 0.27 (SE 0.12). Average heritability was 0.27 (average SE 0.09). We have shown that estimated methane emission is a heritable trait and that the heritability level changes over the course of lactation. The observed changes and low genetic correlations between distant DIM suggest that it may be important to consider the period in which methane phenotypes are collected.

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Year:  2017        PMID: 29293701      PMCID: PMC6292309          DOI: 10.2527/jas2017.1842

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  16 in total

1.  Accuracy of noninvasive breath methane measurements using Fourier transform infrared methods on individual cows.

Authors:  J Lassen; P Løvendahl; J Madsen
Journal:  J Dairy Sci       Date:  2012-02       Impact factor: 4.034

2.  Detection of carryover in automated milk sampling equipment.

Authors:  P Løvendahl; M A Bjerring
Journal:  J Dairy Sci       Date:  2006-09       Impact factor: 4.034

3.  On-farm methane measurements during milking correlate with total methane production by individual dairy cows.

Authors:  P C Garnsworthy; J Craigon; J H Hernandez-Medrano; N Saunders
Journal:  J Dairy Sci       Date:  2012-06       Impact factor: 4.034

4.  Analysis of the inheritance, selection and evolution of growth trajectories.

Authors:  M Kirkpatrick; D Lofsvold; M Bulmer
Journal:  Genetics       Date:  1990-04       Impact factor: 4.562

5.  Methane emissions among individual dairy cows during milking quantified by eructation peaks or ratio with carbon dioxide.

Authors:  M J Bell; N Saunders; R H Wilcox; E M Homer; J R Goodman; J Craigon; P C Garnsworthy
Journal:  J Dairy Sci       Date:  2014-08-14       Impact factor: 4.034

6.  Genetic parameters for predicted methane production and potential for reducing enteric emissions through genomic selection.

Authors:  Y de Haas; J J Windig; M P L Calus; J Dijkstra; M de Haan; A Bannink; R F Veerkamp
Journal:  J Dairy Sci       Date:  2011-12       Impact factor: 4.034

7.  Variation among individual dairy cows in methane measurements made on farm during milking.

Authors:  P C Garnsworthy; J Craigon; J H Hernandez-Medrano; N Saunders
Journal:  J Dairy Sci       Date:  2012-06       Impact factor: 4.034

8.  Simulation, prediction, and genetic analyses of daily methane emissions in dairy cattle.

Authors:  T Yin; T Pinent; K Brügemann; H Simianer; S König
Journal:  J Dairy Sci       Date:  2015-05-28       Impact factor: 4.034

9.  Genetic analysis of milk production traits of polish black and white cattle using large-scale random regression test-day models.

Authors:  T Strabel; J Jamrozik
Journal:  J Dairy Sci       Date:  2006-08       Impact factor: 4.034

10.  Methane emissions from dairy cows measured using the sulfur hexafluoride (SF6) tracer and chamber techniques.

Authors:  C Grainger; T Clarke; S M McGinn; M J Auldist; K A Beauchemin; M C Hannah; G C Waghorn; H Clark; R J Eckard
Journal:  J Dairy Sci       Date:  2007-06       Impact factor: 4.034

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  8 in total

1.  Estimates of the genetic contribution to methane emission in dairy cows: a meta-analysis.

Authors:  Navid Ghavi Hossein-Zadeh
Journal:  Sci Rep       Date:  2022-07-19       Impact factor: 4.996

2.  Selecting for Feed Efficient Cows Will Help to Reduce Methane Gas Emissions.

Authors:  Coralia Ines Valentina Manzanilla-Pech; Rasmus Bak Stephansen; Gareth Frank Difford; Peter Løvendahl; Jan Lassen
Journal:  Front Genet       Date:  2022-05-26       Impact factor: 4.772

3.  Prediction of enteric methane emissions from lactating cows using methane to carbon dioxide ratio in the breath.

Authors:  Tomoyuki Suzuki; Yuko Kamiya; Kohei Oikawa; Itoko Nonaka; Takumi Shinkai; Fuminori Terada; Taketo Obitsu
Journal:  Anim Sci J       Date:  2021       Impact factor: 1.974

4.  Genome-wide association identifies methane production level relation to genetic control of digestive tract development in dairy cows.

Authors:  M Pszczola; T Strabel; S Mucha; E Sell-Kubiak
Journal:  Sci Rep       Date:  2018-10-11       Impact factor: 4.379

5.  Comparison of Methods to Measure Methane for Use in Genetic Evaluation of Dairy Cattle.

Authors:  Philip C Garnsworthy; Gareth F Difford; Matthew J Bell; Ali R Bayat; Pekka Huhtanen; Björn Kuhla; Jan Lassen; Nico Peiren; Marcin Pszczola; Diana Sorg; Marleen H P W Visker; Tianhai Yan
Journal:  Animals (Basel)       Date:  2019-10-21       Impact factor: 2.752

6.  The Effect of Rumination Time on Milk Performance and Methane Emission of Dairy Cows Fed Partial Mixed Ration Based on Maize Silage.

Authors:  Robert Mikuła; Marcin Pszczola; Katarzyna Rzewuska; Sebastian Mucha; Włodzimierz Nowak; Tomasz Strabel
Journal:  Animals (Basel)       Date:  2021-12-27       Impact factor: 2.752

7.  Genetic Parameters for Methane Emissions Using Indirect Prediction of Methane and Its Association with Milk and Milk Composition Traits.

Authors:  Heydar Ghiasi; Beata Sitkowska; Dariusz Piwczyński; Magdalena Kolenda
Journal:  Animals (Basel)       Date:  2022-08-14       Impact factor: 3.231

Review 8.  Global Warming and Dairy Cattle: How to Control and Reduce Methane Emission.

Authors:  Dovilė Bačėninaitė; Karina Džermeikaitė; Ramūnas Antanaitis
Journal:  Animals (Basel)       Date:  2022-10-06       Impact factor: 3.231

  8 in total

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