Table 6 Direct and indirect effects of various parameters on yield of tomato in E3 (RHR&TS, Bajaura, Kullu, HP) location.

From: Characterizing tomato genotypes in the varied climates of north-western Himalayas and implications for environmental resilience using GGE Biplot analyses

Traits

X1

X2

X3

X4

X5

X6

X7

X8

X9

X10

X1

−0.656

0.394

0.143

0.993

0.166

−0.935

−0.279

−0.390

−0.118

0.506

X2

−0.536

0.483

−0.242

1.195

0.094

−1.016

−0.347

−0.219

−0.159

0.562

X3

−0.111

−0.139

0.842

−0.755

0.180

1.218

0.330

−0.328

0.068

−0.955

X4

0.426

−0.377

0.416

−1.530

−0.077

1.700

0.485

0.291

0.151

−0.951

X5

−0.292

0.122

0.407

0.316

0.373

0.318

0.096

−0.688

−0.030

−0.584

X6

0.300

−0.240

0.502

−1.273

0.058

2.043

0.471

0.265

0.140

−1.426

X7

−0.321

0.293

−0.487

1.299

−0.063

−1.683

−0.571

0.051

−0.120

1.181

X8

0.248

−0.102

−0.267

−0.430

−0.248

0.524

−0.028

1.034

0.025

−0.203

X9

0.381

−0.376

0.283

−1.136

−0.056

1.402

0.336

0.125

0.203

−0.666

X10

0.222

−0.182

0.538

−0.975

0.146

1.952

0.452

0.141

0.091

−1.493

  1. Residual effects = 0.18901; rg = Genotypic correlation coefficient; Diagonal bold values are direct effects. *Significant at 5 per cent level of significance; where X1 = Days to 50% flowering, X2 = Days to first picking, X3 = Plant height (cm), X4 = Number of fruit clusters per plant, X5 = Number of fruits per cluster, X6 = Number of fruits per plant, X7 = Average fruit weight (g), X8 = Fruit length (mm), X9 = Fruit Width (cm), X10 = Harvest duration.