Table 4 Significance of analysis of variance and linear regression models between each evaluated attribute and year of cultivar release.

From: Changes in soybean cultivars released over the past 50 years in southern Brazil

Attribute

Unit

ANOVA[Cultivar] (p-value)

Adj R2

Linear model

p

Yield

kg ha−1

 < .0001***

0.4164

ŷ = 0.0459x – 88.026

 < .0001

100-seed weight

g

 < .0001***

0.1325

ŷ = 0.0704x – 124.01

 < .0001

Seeds per area

nº m−2

0.0015**

0.2928

ŷ = 20.713x – 39,126

 < .0001

Seeds per pod

 < .0001***

0.1829

ŷ = 0.0075x – 12.898

 < .0001

Pods per area

nº m−2

0.0066**

0.1049

ŷ = 6.4763x – 11,809

 < .0001

Height of the lowest pod

cm

0.1076 ns

Non-significant

Aboveground biomass

g m−2

0.0108*

0.0868

ŷ = 3.3216x – 5673.7

0.0001

Plant density at harvest

plants m−2

 < .0001***

0.2772

ŷ = 0.1226x – 220.86

 < .0001

Empty pods

nº m−2

 < .0001***

0.1141

ŷ = − 2.0939x + 4264.6

 < 0.001

Plant mortality VE-R8

%

 < .0001***

0.2180

ŷ = − 0.3656x + 744.28

 < .0001

Lateral branches

nº m−2

0.0036**

0.0226

ŷ = 0.5559x – 926.82

0.0337

Plant height

cm

0.0001***

Non-significant

Nodes in main stem

nº m−2

 < .0001***

0.3020

ŷ = 2.7263x – 4996.7

 < .0001

Nodes in lateral branches

nº m−2

0.0019**

0.0558

ŷ = − 2.7958x + 6005

0.0017

Total nodes per area

nº m−2

0.0125*

Non-significant

Lodging score

 < .0001***

0.3548

ŷ = − 0.067x + 135.76

 < .0001

Harvest index

 < .0001***

0.2256

ŷ = 0.0025x – 4.6743

 < .0001

Seed Protein concentration

mg g−1

 < .0001***

0.1799

ŷ = − 0.8386x + 2054.3

 < .0001

Seed oil concentration

mg g−1

 < .0001***

0.1800

ŷ = 0.5295x – 860.34

 < .0001

  1. Bold values are p-value ≤ 0.05.