Descriptors for barley (Hordeum vulgare L.)

1994

Descriptors for barley (Hordeum vulgare L.) is a revision of the original IPGRI ’Barley Descriptors’ (1982). An updated and slightly modified list was prepared by JD. Franckowiak and T. Konishi, as recommended by the International Workshop on Barley Genetic Resources held 20-21 July, 1991, in conjunction with the Sixth International Barley Genetics Symposium, Helsingborg, Sweden. A draft version prepared in the IPGRI internationally accepted format for descriptor lists was subsequently sent to a number of experts for their comments and amendments. A full list of the names and addresses of those involved is given in ’Contributors’. The descriptors from the 1982 list are cross-referenced with the current list with the descriptor numbers in parentheses beside the current descriptor.

Crop
Barley
Publisher
IPGRI
Bibliographic citation

(IPGRI), I. P. G. R. I. (1994). Descriptors for barley (Hordeum vulgare L.). Rome: Bioversity.

Version
1994
Classification
Characterization
Data type
Coded
CodeTermDescription
1Winter
2FacultativeIntermediate
3Spring

Subject to environmental factors

Classification
Characterization
Data type
Scale
0
1
2
3
4
5
6
7
8
9

Legend:

3

Prostrate

5

Intermediate

7

Erect

At maturity, measured from the groumd level to the top of spike excluding awns

Classification
Characterization
Data type
Numeric
Unit of measure
cm
Classification
Characterization
Data type
Coded
CodeTermDescription
1Green
2PurpleBasal only
3PurpleHalf or more

Very subject to environmental factors

Classification
Characterization
Data type
Coded
CodeTermDescription
1Green
2Pale Purple
3Purple
4Dark Purple
Classification
Characterization
Data type
Scale
0
1
2
3
4
5
6
7
8
9

Legend:

1

Very low or no visible sign of sensitivity

3

Low sensitivity

5

Intermediate

7

High Sensitivity

From sowing to when 50% of plants have started flowering. However, in dryland areas when planting in dry soils, it is counted from the first day of rainfall or irrigation, which is sufficient for germination. (Highly dependent on temeprature-photoperiod interactions)

Classification
Characterization
Data type
Coded
CodeTermDescription
N/ACoding table was not provided.
Classification
Characterization
Data type
Coded
CodeTermDescription
1Two rowed, large or small sterile lateral florets
2Two rowed, deficient
3Irregular, variable lateral florets development
4Six rowed, awnless or awnleted lateral florets
5Six rowed, long awns on lateral florets
6Others

A subjective observation, see fig: 4

Classification
Characterization
Data type
Scale
0
1
2
3
4
5
6
7
8
9

Legend:

3

Lax

5

Intermediate

7

Dense

An average of five spikes selected from a growing accession. (Trait subject to fertility and photoperiod factors)

Classification
Characterization
Data type
Numeric

See Fig: 5

Classification
Characterization
Data type
Coded
CodeTermDescription
1Awnless
2Awnleted
3Awned
4Sessile hoods
5Elevated hoods

See Fig: 6

Classification
Characterization
Data type
Scale
0
1
2
3
4
5
6
7
8
9

Legend:

3

Smooth Few barbs at tip

5

Intermediate Small barbs on upper half

7

Rough

See Fig: 7

Classification
Characterization
Data type
Coded
CodeTermDescription
1Length of glume and awn shorter than kernel
2Length of glume and awn as long as kernel
3Glume plus awn longer than kernel
4Glume plus awn nearly twice as long as kernel
5Lemma-like
6Others
Classification
Characterization
Data type
Coded
CodeTermDescription
1White
2Yellow
3Brown
4Black

See Fig: 8

Classification
Characterization
Data type
Coded
CodeTermDescription
1No lemma teeth
2Lemma teethBarbs on lateral nerves
3Lemma hair

Recorded on fresh seeds

Classification
Characterization
Data type
Coded
CodeTermDescription
1Amber/white
2Yellow
3Brown
4Reddish
5Black
6Other

See Fig: 9

Classification
Characterization
Data type
Coded
CodeTermDescription
1Short
2Long

Whether or not the lemma and palea adhere to the caryopsis

Classification
Characterization
Data type
Coded
CodeTermDescription
1Naked grain
2Semi-covered grain
3Covered grain

Precentage of kernels remaining on a 2.38 mm slotted screen

Classification
Characterization
Data type
Numeric
Unit of measure
%
Classification
Characterization
Data type
Coded
CodeTermDescription
1Amber=Normal
2Tan/Red
3Purple
4Balck/grey
5Other
Classification
Characterization
Data type
Coded
CodeTermDescription
1White
2Tan/red
3Purple
4Black
5Other

Although this trait is difficult to observe, it os used for market type classification in several countries

Classification
Characterization
Data type
Coded
CodeTermDescription
1White
2Blue

Even though this trait is environment dependent, most growouts will occur in favorable environments. Converted from weighing a lot of 250 kernels or more

Classification
Characterization
Data type
Numeric
Unit of measure
g