Exploring indicators of genetic selection using the sniffer method to reduce methane emissions from Holstein cows

Objective This study aimed to evaluate whether the methane (CH4) to carbon dioxide (CO2) ratio (CH4/CO2) and methane-related traits obtained by the sniffer method can be used as indicators for genetic selection of Holstein cows with lower CH4 emissions. Methods The sniffer method was used to simulta...

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Main Authors: Yoshinobu Uemoto, Tomohisa Tomaru, Masahiro Masuda, Kota Uchisawa, Kenji Hashiba, Yuki Nishikawa, Kohei Suzuki, Takatoshi Kojima, Tomoyuki Suzuki, Fuminori Terada
Format: Article
Language:English
Published: Asian-Australasian Association of Animal Production Societies 2024-02-01
Series:Animal Bioscience
Subjects:
Online Access:http://www.animbiosci.org/upload/pdf/ab-23-0120.pdf
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author Yoshinobu Uemoto
Tomohisa Tomaru
Masahiro Masuda
Kota Uchisawa
Kenji Hashiba
Yuki Nishikawa
Kohei Suzuki
Takatoshi Kojima
Tomoyuki Suzuki
Fuminori Terada
author_facet Yoshinobu Uemoto
Tomohisa Tomaru
Masahiro Masuda
Kota Uchisawa
Kenji Hashiba
Yuki Nishikawa
Kohei Suzuki
Takatoshi Kojima
Tomoyuki Suzuki
Fuminori Terada
author_sort Yoshinobu Uemoto
collection DOAJ
description Objective This study aimed to evaluate whether the methane (CH4) to carbon dioxide (CO2) ratio (CH4/CO2) and methane-related traits obtained by the sniffer method can be used as indicators for genetic selection of Holstein cows with lower CH4 emissions. Methods The sniffer method was used to simultaneously measure the concentrations of CH4 and CO2 during milking in each milking box of the automatic milking system to obtain CH4/CO2. Methane-related traits, which included CH4 emissions, CH4 per energy-corrected milk, methane conversion factor (MCF), and residual CH4, were calculated. First, we investigated the impact of the model with and without body weight (BW) on the lactation stage and parity for predicting methane-related traits using a first on-farm dataset (Farm 1; 400 records for 74 Holstein cows). Second, we estimated the genetic parameters for CH4/CO2 and methane-related traits using a second on-farm dataset (Farm 2; 520 records for 182 Holstein cows). Third, we compared the repeatability and environmental effects on these traits in both farm datasets. Results The data from Farm 1 revealed that MCF can be reliably evaluated during the lactation stage and parity, even when BW is excluded from the model. Farm 2 data revealed low heritability and moderate repeatability for CH4/CO2 (0.12 and 0.46, respectively) and MCF (0.13 and 0.38, respectively). In addition, the estimated genetic correlation of milk yield with CH4/CO2 was low (0.07) and that with MCF was moderate (−0.53). The on-farm data indicated that CH4/CO2 and MCF could be evaluated consistently during the lactation stage and parity with moderate repeatability on both farms. Conclusion This study demonstrated the on-farm applicability of the sniffer method for selecting cows with low CH4 emissions.
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spelling doaj.art-aa7ec19bbf14402c90349e18c19648242024-02-05T00:49:44ZengAsian-Australasian Association of Animal Production SocietiesAnimal Bioscience2765-01892765-02352024-02-0137217318310.5713/ab.23.012025112Exploring indicators of genetic selection using the sniffer method to reduce methane emissions from Holstein cowsYoshinobu Uemoto0Tomohisa Tomaru1Masahiro Masuda2Kota Uchisawa3Kenji Hashiba4Yuki Nishikawa5Kohei Suzuki6Takatoshi Kojima7Tomoyuki Suzuki8Fuminori Terada9 Graduate School of Agricultural Science, Tohoku University, Sendai 980-8572, Japan Gunma Prefectural Livestock Experiment Station, Maebashi 371-0103, Japan Niikappu Station, National Livestock Breeding Center (NLBC), Hidaka 056-0141, Japan Niikappu Station, National Livestock Breeding Center (NLBC), Hidaka 056-0141, Japan Niikappu Station, National Livestock Breeding Center (NLBC), Hidaka 056-0141, Japan Head office, National Livestock Breeding Center (NLBC), Nishigo 961-8061, Japan Head office, National Livestock Breeding Center (NLBC), Nishigo 961-8061, Japan Head office, National Livestock Breeding Center (NLBC), Nishigo 961-8061, Japan Institute of Livestock and Grassland Science, National Agriculture and Food Research Organization (NARO), Nasushiobara 329-2793, Japan Institute of Livestock and Grassland Science, NARO, Tsukuba 305-0901, JapanObjective This study aimed to evaluate whether the methane (CH4) to carbon dioxide (CO2) ratio (CH4/CO2) and methane-related traits obtained by the sniffer method can be used as indicators for genetic selection of Holstein cows with lower CH4 emissions. Methods The sniffer method was used to simultaneously measure the concentrations of CH4 and CO2 during milking in each milking box of the automatic milking system to obtain CH4/CO2. Methane-related traits, which included CH4 emissions, CH4 per energy-corrected milk, methane conversion factor (MCF), and residual CH4, were calculated. First, we investigated the impact of the model with and without body weight (BW) on the lactation stage and parity for predicting methane-related traits using a first on-farm dataset (Farm 1; 400 records for 74 Holstein cows). Second, we estimated the genetic parameters for CH4/CO2 and methane-related traits using a second on-farm dataset (Farm 2; 520 records for 182 Holstein cows). Third, we compared the repeatability and environmental effects on these traits in both farm datasets. Results The data from Farm 1 revealed that MCF can be reliably evaluated during the lactation stage and parity, even when BW is excluded from the model. Farm 2 data revealed low heritability and moderate repeatability for CH4/CO2 (0.12 and 0.46, respectively) and MCF (0.13 and 0.38, respectively). In addition, the estimated genetic correlation of milk yield with CH4/CO2 was low (0.07) and that with MCF was moderate (−0.53). The on-farm data indicated that CH4/CO2 and MCF could be evaluated consistently during the lactation stage and parity with moderate repeatability on both farms. Conclusion This study demonstrated the on-farm applicability of the sniffer method for selecting cows with low CH4 emissions.http://www.animbiosci.org/upload/pdf/ab-23-0120.pdfcommercial dairy farmsenteric methane emissiongenetic correlationheritabilityrepeatability
spellingShingle Yoshinobu Uemoto
Tomohisa Tomaru
Masahiro Masuda
Kota Uchisawa
Kenji Hashiba
Yuki Nishikawa
Kohei Suzuki
Takatoshi Kojima
Tomoyuki Suzuki
Fuminori Terada
Exploring indicators of genetic selection using the sniffer method to reduce methane emissions from Holstein cows
Animal Bioscience
commercial dairy farms
enteric methane emission
genetic correlation
heritability
repeatability
title Exploring indicators of genetic selection using the sniffer method to reduce methane emissions from Holstein cows
title_full Exploring indicators of genetic selection using the sniffer method to reduce methane emissions from Holstein cows
title_fullStr Exploring indicators of genetic selection using the sniffer method to reduce methane emissions from Holstein cows
title_full_unstemmed Exploring indicators of genetic selection using the sniffer method to reduce methane emissions from Holstein cows
title_short Exploring indicators of genetic selection using the sniffer method to reduce methane emissions from Holstein cows
title_sort exploring indicators of genetic selection using the sniffer method to reduce methane emissions from holstein cows
topic commercial dairy farms
enteric methane emission
genetic correlation
heritability
repeatability
url http://www.animbiosci.org/upload/pdf/ab-23-0120.pdf
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