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Table 1 Descriptive statistics for feed efficiency traits and growth performance

From: Investigation of muscle transcriptomes using gradient boosting machine learning identifies molecular predictors of feed efficiency in growing pigs

Variable

Line

n

Mean

SEM

StDev

Minimum

Maximum

RFI-BV

Low RFI

31

− 66.5a

3.6

20.1

−108.7

−39.5

High RFI

40

55.9b

1.7

10.9

33.5

91.6

ADG

Low RFI

31

885.0a

15.9

88.7

700

1068

High RFI

40

827.4b

15.7

99.2

543

1012

FI

Low RFI

31

2288.3a

34.2

190.4

1914

2658

High RFI

40

2362.7a

40.5

255.9

1725

3026

FCR

Low RFI

31

2.60b

0.03

0.18

2.25

2.91

High RFI

40

2.87a

0.03

0.21

2.46

3.28

FCRe

Low RFI

31

25b

0.3

2

22

29

High RFI

40

28a

0.3

2

24

32

  1. Abbreviations used: ADG Average daily gain (g/d), FI feed intake (g/kg), FCR Feed conversion ratio (kg/kg), FCRe Net energy feed conversion ratio (MJ/kg), RFI-BV Breeding value for residual feed intake (g/d). Data were obtained in n = 71 growing pigs from two lines divergently selected for residual feed intake (low/high) and reared under different conditions. ADG, FI and FCR were obtained from referenced publications [21, 22]. The FCRe was newly calculated using the net energy content of diets that was provided in the same publications. Genetic RFI values were newly calculated from performance recorded on pig littermates reared in the selection farm (Rouillé, France). For each trait, data obtained from pigs of both lines were compared by ANOVA; a, b: for a given trait, means with different superscript letter differed between low and high RFI lines (P < 0.05)