Key descriptors for Docynia indica (Son-tra)

1.0

The ‘Key descriptors for Docynia indica (Wall.) Decne’ consist of an initial minimum set of characterization and evaluation descriptors for this species. This strategic set aims at facilitating access to and utilization of these African indigenous fruit trees. It does not exclude the addition of other descriptors later.

Docynia indica (Wall.) Decne, also known locally as son tra or H’mong apple (Vietnam), dou-yi (China), pin-sein (Myanmar), Assam apple/wild apple (India), belongs to the family Rosaceae. The species naturally occurs at altitudes between 1000 and 3000 msl in Central and East Asian countries such as China, India, Myanmar, Nepal, Pakistan, Thailand, and Vietnam. It can adapt well in areas typically characterized by sloping lands and degraded areas, where it grows quickly and well. In recent years its area of distribution has increased, as it started to be used in reforestation programs. D. indica trees are semievergreen or deciduous. They are resistant to forest fires and can withstand extreme weather conditions such as drought and frost. Fruiting requires elevations above 1000 msl and cold winters.

D. indica is an important multi-purpose fruit tree species in agroforestry systems in the highlands. Its fruit is appreciated for its nutrient and vitamin C content as well as antioxidant properties. It also contains substances with high biological activity, which are used as herbal medicine. Fruits are often processed into products such as juice, wine, vinegar, syrup, jam, and preserved by drying. Its wood is used to make household tools and is a source of fuelwood for households. This species is an important tree in the forest and agroforestry systems in the highlands. The trees provide material for mulching, and they are used for soil protection, improvement, and reforestation.

Today, D. indica is increasingly recognized as an important source of income. Especially for small holder farmers, it provides an important contribution to their livelihoods and household incomes. However, there remains a big gap in knowledge of how the trees are planted, how fruits are best harvested, processed, and marketed.

This priority descriptor list which follows the international standardized documentation system for the characterization and study of genetic resources (Alercia, 2011), is expected to support studies focusing on genetic and morphological diversity of Docynia indica, conservation of its genetic resources, domestication and to increase production and use of its products.

Crop
Fruit trees
Publisher
ICRAF and FAO, 2021
Bibliographic citation

Muchugi A., Pham H.T., Alercia A., Hai P.H., Hendre P., Jamnadass R., Cerutti A.L., Cognetti de Martiis S., Lopez F. 2021. Key descriptors for Docynia indica (Wall.) Decne. World Agroforestry, Nairobi, Kenya and the Food and Agriculture Organization of the United Nations, Rome, Italy.

Version
1.0
Classification
Characterization
Data type
Coded
CodeTermDescription
1Erect
2Semi erect
3Drooping

Measured as the mean diameter using two directions [East-West, South-North].

Classification
Characterization
Data type
Numeric
Unit of measure
m
Classification
Characterization
Data type
Coded
CodeTermDescription
1Glabrous
2Sparsely pubescent
3Woolly hairs
Classification
Characterization
Data type
Coded
CodeTermDescription
1Elliptic
2Oblong
3Lanceolate
4Elongated
5Ovate
99Other (specify in the Notes descriptor
Classification
Characterization
Data type
Coded
CodeTermDescription
1Solitary
2Fascicled
Classification
Characterization
Data type
Coded
CodeTermDescription
1Yellow
2Brown
99Other (specify in the Notes descriptor)

Record the predominant shape using 30 fruits randomly selected.

Classification
Characterization
Data type
Coded
CodeTermDescription
1Round
2Elliptic
3Oblong
4Ovate
5Pyriform
99Other (specify in the Notes descriptor)
Classification
Characterization
Data type
Coded
CodeTermDescription
1Smooth
2Rough

Record the average length of 30 mature fruits randomly selected at the longest point.

Classification
Characterization
Data type
Numeric
Unit of measure
cm

Record the average length of 30 mature fruits randomly selected at the widest point

Classification
Characterization
Data type
Numeric
Unit of measure
cm

Record the average fresh weight of 30 mature fruits randomly selected.

Classification
Characterization
Data type
Numeric
Unit of measure
g
Classification
Characterization
Data type
Coded
CodeTermDescription
1Sweet
2Acidic (bitter)
3Astringent
4Sour
Classification
Characterization
Data type
Numeric
Unit of measure
g
Classification
Characterization
Data type
Scale
0
1
2
3
4
5
6
7
8
9

Legend:

3

Low

7

High

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

Legend:

3

Ealy

7

Late

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

Legend:

3

Early

7

Late

Classification
Evaluation
Data type
Numeric
Unit of measure
kg

Fruit nutritional content

Classification
Evaluation
Data type
Numeric
Unit of measure
mg/100 g

Fruit nutritional content

Classification
Evaluation
Data type
Numeric
Unit of measure
mg/100 g

Fruit nutritional content

Classification
Evaluation
Data type
Numeric
Unit of measure
μg/ml FW

Fruit nutritional content

Classification
Evaluation
Data type
Numeric
Unit of measure
mg/100 g DM

Fruit nutritional content

Classification
Evaluation
Data type
Numeric
Unit of measure
mg 100/g

Biotic stress susceptibility

Classification
descriptors.common.category.bioticstress
Data type
Free text

Biotic stress susceptibility

Classification
descriptors.common.category.bioticstress
Data type
Free text

Biotic stress susceptibility

Classification
descriptors.common.category.bioticstress
Data type
Free text

Biotic stress susceptibility

Classification
descriptors.common.category.bioticstress
Data type
Free text