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Genetic parameters for mid-infrared spectroscopy–predicted fertility

Female fertility is a challenging trait to improve genetically because of its low heritability, its unfavorable genetic correlation with milk yield, and its relatively small number of records. The MFERT trait is the probability of conception to first insemination predicted using mid-infrared (MIR) s...

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Autores principales: van den Berg, I., Ho, P.N., Haile-Mariam, M., Pryce, J.E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9623646/
https://www.ncbi.nlm.nih.gov/pubmed/36337105
http://dx.doi.org/10.3168/jdsc.2021-0141
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author van den Berg, I.
Ho, P.N.
Haile-Mariam, M.
Pryce, J.E.
author_facet van den Berg, I.
Ho, P.N.
Haile-Mariam, M.
Pryce, J.E.
author_sort van den Berg, I.
collection PubMed
description Female fertility is a challenging trait to improve genetically because of its low heritability, its unfavorable genetic correlation with milk yield, and its relatively small number of records. The MFERT trait is the probability of conception to first insemination predicted using mid-infrared (MIR) spectroscopy of a milk sample collected during lactation as part of routine milk recording, age at calving, days in milk, and milk production. As such, MFERT could become available on many more cows than traditional fertility traits. Our objectives were (1) to estimate the heritability of MFERT; (2) to estimate genetic correlations between MFERT, traditional fertility traits, and milk production traits; and (3) to assess the potential of MFERT to be used as an indicator trait for fertility in a selection index. The MFERT trait had a heritability of 0.16, which was higher than that (0.05) obtained for traditional fertility traits. Genetic correlations between MFERT and traditional fertility traits were low to moderate. The weakest and strongest correlations (mean ± standard error) were with pregnancy at the end of the mating season (0.13 ± 0.05) and calving to first service (−0.61 ± 0.03), respectively. Based on our estimates, including MFERT in a fertility index will only substantially increase the accuracy of the index when there are many more records available for MFERT than for the traditional fertility traits. This is likely to be the case because the number of milk samples from commercial machines belonging to milk recording companies in Australia that are capable of generating MIR spectra is growing. Hence, the number of records for MFERT is expected to increase substantially in the near future.
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spelling pubmed-96236462022-11-04 Genetic parameters for mid-infrared spectroscopy–predicted fertility van den Berg, I. Ho, P.N. Haile-Mariam, M. Pryce, J.E. JDS Commun Genetics Female fertility is a challenging trait to improve genetically because of its low heritability, its unfavorable genetic correlation with milk yield, and its relatively small number of records. The MFERT trait is the probability of conception to first insemination predicted using mid-infrared (MIR) spectroscopy of a milk sample collected during lactation as part of routine milk recording, age at calving, days in milk, and milk production. As such, MFERT could become available on many more cows than traditional fertility traits. Our objectives were (1) to estimate the heritability of MFERT; (2) to estimate genetic correlations between MFERT, traditional fertility traits, and milk production traits; and (3) to assess the potential of MFERT to be used as an indicator trait for fertility in a selection index. The MFERT trait had a heritability of 0.16, which was higher than that (0.05) obtained for traditional fertility traits. Genetic correlations between MFERT and traditional fertility traits were low to moderate. The weakest and strongest correlations (mean ± standard error) were with pregnancy at the end of the mating season (0.13 ± 0.05) and calving to first service (−0.61 ± 0.03), respectively. Based on our estimates, including MFERT in a fertility index will only substantially increase the accuracy of the index when there are many more records available for MFERT than for the traditional fertility traits. This is likely to be the case because the number of milk samples from commercial machines belonging to milk recording companies in Australia that are capable of generating MIR spectra is growing. Hence, the number of records for MFERT is expected to increase substantially in the near future. Elsevier 2021-09-23 /pmc/articles/PMC9623646/ /pubmed/36337105 http://dx.doi.org/10.3168/jdsc.2021-0141 Text en © 2021. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Genetics
van den Berg, I.
Ho, P.N.
Haile-Mariam, M.
Pryce, J.E.
Genetic parameters for mid-infrared spectroscopy–predicted fertility
title Genetic parameters for mid-infrared spectroscopy–predicted fertility
title_full Genetic parameters for mid-infrared spectroscopy–predicted fertility
title_fullStr Genetic parameters for mid-infrared spectroscopy–predicted fertility
title_full_unstemmed Genetic parameters for mid-infrared spectroscopy–predicted fertility
title_short Genetic parameters for mid-infrared spectroscopy–predicted fertility
title_sort genetic parameters for mid-infrared spectroscopy–predicted fertility
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9623646/
https://www.ncbi.nlm.nih.gov/pubmed/36337105
http://dx.doi.org/10.3168/jdsc.2021-0141
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