Table 5 Predictive ability, prediction accuracy and standard error of prediction accuracy by location and season estimated from within-location and across-location validation

From: Prediction of genetic value for sweet cherry fruit maturity among environments using a 6K SNP array

Location

Season

Within location

Across location

nG × L

nG × LS

PA

PACC

se.PACC

nG × L

nG × LS

PA

PACC

se.PACC

Balandran.FR

1997

14

12

0.86

0.90

0.29

63

61

0.67

0.70

0.13

1999

10

0.88

0.91

0.32

50

0.76

0.79

0.14

Bourran.FR

2014

38

37

0.81

0.89

0.16

193

187

0.59

0.65

0.07

2015

38

0.84

0.90

0.16

192

0.64

0.68

0.07

Forli.IT

2014

11

10

0.81

0.88

0.32

56

50

0.84

0.91

0.14

2015

11

0.79

0.86

0.30

55

0.86

0.94

0.13

Prosser.US

2011

76

46

0.79

1.02

0.15

384

231

0.43

0.55

0.07

2012

71

0.73

0.95

0.12

360

0.44

0.57

0.05

  1. Also shown is the average number of individuals in each validation population per location (nG × L) and per location-by-season (nG × LS) for each validation approach
  2. PA predictive ability, PACC prediction accuracy, se.PACC standard error of prediction accuracy
Back to article page