Characterization of maize accessions in Kitale (Kenya)

1.0

Maize accessions were planted in Kitale and assessed for their morphological diversity.

Partner
Number of accessions
135
Number of traits
20
Start of evaluation
1993
End of evaluation
Date not provided
Dataset metadata

Dataset creators

Data digitizer
Simon N Mariku Kenya Agricultural and Livestock Research Organization (KALRO)
Data collector
Richard Kanugu Wataaru Kenya Agricultural and Livestock Research Organization (KALRO)
Data collector
Joseph Ireri Kamau Genetic Resources Research Institute
Data collector
Donald Lutari Kenya Agricultural and Livestock Research Organization (KALRO)
Data curator
Ndungu Kimani Genetic Resources Research Institute
Data manager
Timon Moi Genetic Resources Research Institute

Dataset use and licensing


Data and resources

Kitale_Maize_1993

Kitale_maize_1993.xlsx

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Dataset metadata

Metadata.xlsx

Preview

MCPD passport data

MCPD - aba52dcc-df89-4cd8-ba0e-04e90c210ab6.xlsx

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Data provider contact information

Address
P.O. Box 781 - 00902 Kikuyu

Other Metadata

Date of dataset
9 December 2016
Metadata create date
22 October 2018
Metadata updated date
22 October 2018
Published in Genesys
22 October 2018
Locations
Location
KALRO Kitale research station. Trans Nzoia County, Uasin Gishu, Kenya
Date of evaluation
1993Date not provided
Traits observed

Number of days from planting to when 50% of the plants have extended silk.

Midrib colour of the third leaf counted from flag leaf downwards taken during or shortly after flowering.

A unique number representing each germplasm.

Visual measurement recorded three weeks after emergence of the seedling.

Absence or prescence of pigments on leaf and stalk taken at seed filling stage.

Average number of basal tillers (without counting the stem)at maturity of 10 randomly selected plants.

Mean height of 10 random plants, measured from the ground level to the tip of the head taken after flowering and before ripening.

Mean height of 10 random plant ears from the ground level to the node bearing the upper ear.

Consider phenotypic appearance.

Number of ears randomly harvested and characterized in the lab.

Susceptibility to lodging. Scored before harvesting in a scale similar to percentages.

Average of 10 randomly selected plants from the middle of the plot.

Kernel type.

Three colours observed in order of frequency.

Mean length of 10 random ears from the point of attachment on the ear peducle to the tip of the dehusked ear.

Number of rows of kernel on 10 randomly selected ears.

Visual measurement looking at longitudinal cut seed.

Weight of one thousand seeds adjusted to 10% moisture content.

Visual measurement whether the kernel colours are the same or not.

Visual measurement of the endosperm colour.

Accessions

List of accessions included in the dataset

KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A
KEN212Genetic Resources Research Institute, Kenya • DOI: N/A