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Table 3 Path coefficients between Pn and physiological factors of Liriope muscari grown under high (HI), medium (MI) and low (LI) incident PAR in two groups

From: Photosynthetic performance and growth responses of Liriope muscari (Decne.) L.H. Bailey (Asparagaceae) planted within poplar forests having different canopy densities

Treatment

Variable

Direct effect

Indirect effect

Decision coefficient

E X1

GS X2

ci/ca X3

∑

HI-1

E X1

0.391

–

–

0.434

0.434

− 0.036

 

ci/ca X3

− 0.665

− 0.255

–

–

− 0.255

0.377

Regression equation: Y = 7.603 + 3.583 * X1 − 10.276 * X3

MI-1

E X1

0.418

–

− 0.339

0.683

0.343

0.057

 

GS X2

− 0.408

0.348

–

0.879

1.226

− 1.338

 

ci/ca X3

− 0.985

− 0.290

0.364

–

0.074

0.965

Regression equation: Y = 11.581 + 3.854 * X1-0.08 * X2 − 13.086 * X3

LI-1

E X1

0.161

–

0.369

0.325

0.693

− 0.455

 

GS X2

0.462

0.128

–

0.365

0.493

− 0.030

 

ci/ca X3

− 0.426

− 0.123

-0.395

–

− 0.518

− 0.087

Regression equation: Y = 2.453 + 1.149 * X1 + 0.1 * X2 − 3.029 * X3

HI-2

E X1

1.062

–

0.021

− 0.122

− 0.101

1.118

 

GS X2

0.024

0.938

–

− 0.101

0.837

− 0.699

 

ci/ca X3

0.154

− 0.844

− 0.016

–

− 0.860

− 0.716

Regression equation: Y = − 1.427 + 7.388 * X1 + 0.003 * X2 + 1.726 * X3

MI-2

GS X2

0.507

–

–

0.385

0.385

0.109

 

ci/ca X3

− 0.457

–

− 0.427

–

− 0.427

0.026

Regression equation: Y = 2.961 + 0.055 * X2 − 3.454 * X3

LI-2

E X1

0.545

–

0.412

–

0.412

0.127

 

GS X2

0.434

0.518

–

–

0.518

− 0.080

Regression equation: Y = − 0.224 + 2.677 * X1 + 0.048 * X2