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. 2022 Dec 2;13:1031557. doi: 10.3389/fgene.2022.1031557

TABLE 4.

Genetic and phenotypic correlations among milk loss traits and genetic correlations between milk loss traits and variability traits.

s N2 ML NML TDML MLP Lnsd2 Ra1 Ske1
ML, kg 8,935 0.21 (0.21) 0.29 (0.23) 0.48 (0.13) 0.96 (0.01) 0.62 (0.13) 0.51 (0.16)
NML, time 8,935 0.39 (0.01) 0.69 (0.20) 0.58 (0.18) 0.45 (0.14) 0.23 (0.24) −0.27 (0.21)
TDML, d 8,935 0.66 (0.01) 0.67 (0.01) 0.78 (0.13) 0.58 (0.14) 0.09 (0.32) −0.41 (0.30)
MLP, % 8,935 0.89 (0.00) 0.39 (0.01) 0.67 (0.01) 0.54 (0.08) 0.16 (0.20) −0.02 (0.18)

1The genetic correlations among milk loss traits are presented above the diagonal while the phenotypic correlations are below the diagonal in the first four columns, while the genetic correlations between milk loss traits and variability traits are presented in the last three columns; ML, sum of the milk yield which dropped in all fluctuation phases in a lactation; NML, number of milk loss events; TDML, total number of days for milk loss per lactation; MLP, the percentage of ML to MY305; Lnsd2, log-transformed standard deviation of milk deviations based on the lactation when removing first and last 10 DIM; Ra1, lag-1 autocorrelation of milk deviations based on the entire lactation; Ske1, skewness of milk deviations based on the entire lactation. Lnsd1, Ra2 and Ske2 are the traits with the highest heritability among the three variability traits, respectively.

2N: number of records that were used to calculate the genetic correlations.