Genetic parameters for efficiency of crude protein utilisation and its relationship with production traits across lactations in grazing dairy cows

Ariyarathne, H.B.P.C.; Correa-Luna, Martín; Blair, Hugh T.; Garrick, Dorian J.; López‐Villalobos, N.

doi:10.1080/00288233.2020.1726414

Cited by 6 publications

(9 citation statements)

References 34 publications

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“…The trend of repeatability for MU over DIM resembled a "U" shape (from 0.40 to 0.72) and reached its maximum at 365 DIM, which is in agreement with Ariyarathne et al (2021). The repeatability estimates of MU averaged over lactation were 0.48, 0.48, and 0.47, respectively, for the first, second, and third parities (Table 2), which are in line with those reported in previous studies (Ariyarathne et al, 2019(Ariyarathne et al, , 2021Beatson et al, 2019).…”

Section: Genetic Parameterssupporting

confidence: 86%

“…The average 305-d heritabilities of MU were 0.52, 0.60, and 0.54, respectively, in the first 3 parities (Table 3), which were similar to the maximum average heritability of MUN (0.59 in the second parity) reported by Wood et al (2003). The trend of repeatability for MU over DIM resembled a "U" shape (from 0.40 to 0.72) and reached its maximum at 365 DIM, which is in agreement with Ariyarathne et al (2021). The repeatability estimates of MU averaged over lactation were 0.48, 0.48, and 0.47, respectively, for the first, second, and third parities (Table 2), which are in line with those reported in previous studies (Ariyarathne et al, 2019(Ariyarathne et al, , 2021Beatson et al, 2019).…”

Section: Genetic Parameterssupporting

confidence: 83%

“…In addition, to reduce potential unfavorable correlated responses, correlations of MU and traits included in the breeding goal have to be considered. Previous research showed that MU (or MUN) is correlated with yield traits (e.g., milk, protein, and fat yields; Yin et al, 2012;Beatson et al, 2019;Ariyarathne et al, 2021), type traits (Satoła et al, 2017b), BW (Hojman et al, 2005), SCC (Bobbo et al, 2019), and reproductive performance (Siatka et al, 2020;Kananub et al, 2020). However, results were not all indicating similar direction and strength of correlations.…”

Section: Introductionmentioning

confidence: 93%

“…Low negative genetic correlation was found between MU and MY, which is in agreement with Samoré et al (2007). However, Lopez-Villalobos et al (2018 and Ariyarathne et al (2021) reported that MU had a moderately positive genetic correlation with milk yield in dairy cows in New Zealand. Only grass-based diets are very common in New Zealand, but not in Belgium, where complementing grazing by energy rich feedstuff is rather standard.…”

Section: Approximate Genetic Correlations With Other Traits Of Interestmentioning

confidence: 99%

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Genetic analysis of milk urea concentration and its genetic relationship with selected traits of interest in dairy cows

Chen

Atashi

Vanderick

et al. 2021

Journal of Dairy Science

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The aim of this study was to estimate genetic parameters of milk urea concentration (MU) and its genetic correlations with milk production traits, longevity, and functional traits in the first 3 parities in dairy cows. The edited data set consisted in 9,107,349 MU testday records from the first 3 parities of 560,739 cows in 2,356 herds collected during the years 1994 to 2020. To estimate the genetic parameters of MU, data of 109 randomly selected herds, with a total of 770,016 MU test-day records, were used. Genetic parameters and estimated breeding values were estimated using a multiple-trait (parity) random regression model. Herdtest-day, age-year-season of calving, and days in milk classes (every 5 d as a class) were used as fixed effects, whereas effects of herd-year of calving, permanent environment, and animal were modeled using random regressions and Legendre polynomials of order 2. The average daily heritability and repeatability of MU during days in milk 5 to 365 in the first 3 parities were 0.19, 0.22, 0.20, and 0.48, 0.48, 0.47, respectively. The mean genetic correlation estimated among MU in the first 3 parities ranged from 0.96 to 0.97. The average daily estimated breeding values for MU of the selected bulls (n = 1,900) ranged from −9.09 to 7.37 mg/dL. In the last 10 yr, the genetic trend of MU has gradually increased. The genetic correlation between MU and 11 traits of interest ranged from -0.28 (milk yield) to 0.28 (somatic cell score). The findings of this study can be used as the first step for development of a routine genetic evaluation for MU and its inclusion into the genetic selection program in the Walloon Region of Belgium.

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Section: Genetic Parameterssupporting

confidence: 86%

Section: Genetic Parameterssupporting

confidence: 83%

Section: Introductionmentioning

confidence: 93%

Section: Approximate Genetic Correlations With Other Traits Of Interestmentioning

confidence: 99%

See 2 more Smart Citations

Genetic analysis of milk urea concentration and its genetic relationship with selected traits of interest in dairy cows

Chen

Atashi

Vanderick

et al. 2021

Journal of Dairy Science

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“…In our previous study using the same cows [ 69 ], highly positive genetic correlations were estimated between ECPU and yields of milk, crude protein, and fat, throughout the lactation. Those findings, together with the observations made in this study that genes associated with ECPU are also related to yields of milk, crude protein and fat, suggest that there are good candidate genes for marker-assisted selection for production efficiency in New Zealand dairy cows.…”

Section: Discussionmentioning

confidence: 99%

Identification of Genomic Regions Associated with Concentrations of Milk Fat, Protein, Urea and Efficiency of Crude Protein Utilization in Grazing Dairy Cows

Ariyarathne

Correa-Luna²,

Blair

et al. 2021

Genes

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The objective of this study was to identify genomic regions associated with milk fat percentage (FP), crude protein percentage (CPP), urea concentration (MU) and efficiency of crude protein utilization (ECPU: ratio between crude protein yield in milk and dietary crude protein intake) using grazing, mixed-breed, dairy cows in New Zealand. Phenotypes from 634 Holstein Friesian, Jersey or crossbred cows were obtained from two herds at Massey University. A subset of 490 of these cows was genotyped using Bovine Illumina 50K SNP-chips. Two genome-wise association approaches were used, a single-locus model fitted to data from 490 cows and a single-step Bayes C model fitted to data from all 634 cows. The single-locus analysis was performed with the Efficient Mixed-Model Association eXpedited model as implemented in the SVS package. Single nucleotide polymorphisms (SNPs) with genome-wide association p-values ≤ 1.11 × 10−6 were considered as putative quantitative trait loci (QTL). The Bayes C analysis was performed with the JWAS package and 1-Mb genomic windows containing SNPs that explained > 0.37% of the genetic variance were considered as putative QTL. Candidate genes within 100 kb from the identified SNPs in single-locus GWAS or the 1-Mb windows were identified using gene ontology, as implemented in the Ensembl Genome Browser. The genes detected in association with FP (MGST1, DGAT1, CEBPD, SLC52A2, GPAT4, and ACOX3) and CPP (DGAT1, CSN1S1, GOSR2, HERC6, and IGF1R) were identified as candidates. Gene ontology revealed six novel candidate genes (GMDS, E2F7, SIAH1, SLC24A4, LGMN, and ASS1) significantly associated with MU whose functions were in protein catabolism, urea cycle, ion transportation and N excretion. One novel candidate gene was identified in association with ECPU (MAP3K1) that is involved in post-transcriptional modification of proteins. The findings should be validated using a larger population of New Zealand grazing dairy cows.

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Recent advances in grazed pasture-based dairy science

Clough

2021

New Zealand Journal of Agricultural Research

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Genetic parameters for efficiency of crude protein utilisation and its relationship with production traits across lactations in grazing dairy cows

Cited by 6 publications

References 34 publications

Genetic analysis of milk urea concentration and its genetic relationship with selected traits of interest in dairy cows

Genetic analysis of milk urea concentration and its genetic relationship with selected traits of interest in dairy cows

Identification of Genomic Regions Associated with Concentrations of Milk Fat, Protein, Urea and Efficiency of Crude Protein Utilization in Grazing Dairy Cows

Recent advances in grazed pasture-based dairy science

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