Published July 1997 | Version v1
Report Open

Evaluation of some early maturing and high yielding mutant lines of soybean in different locations

  • 1. Atomic Energy Commission, Dept. of Radiation Agriculture, Damascus (Syrian Arab Republic)

Description

This study aimed at checking the stability of some mutant lines from 2 soybean varieties in different locations and to select best performing lines in each location. These lines were selected according to previous experiments as being early maturing and/or that yield higher than the control. The experiments, lasted 3 years, were grown in a RCBD with 3 replicates for each variety. Results showed significant differences between line, location and year in both earliness and yield for the two varieties. Earliness was not correlated with any character except for height and nod number on the main stem in A2522 but was positively correlated with all characters (except for 100 seed wt) in A3803. Yield was positively and significantly correlated with all characters in all lines except for 100 seed wt in A2522. IN A2522 an early maturing mutant in more than 10 days 286b was selected but was average in yield, whereas 2 other lesser degree early but have higher yield than control were selected (286a, 439). In A3803 three lines with higher yield and as early as the control were selected (634, 496 and 69). (author). 32 tabs

Availability note (English)

Available from INIS in electronic form

Files

29051510.pdf

Files (993.0 kB)

Name Size Download all
md5:6823643fd47dd1dbca751410b5215ba9
993.0 kB Preview Download

Additional details

Publishing Information

Imprint Pagination
59 p.
Report number
AECS-A/FRSR--141

INIS

Country of Publication
Syrian Arab Republic
Country of Input or Organization
Syrian Arab Republic
INIS RN
29051510
Subject category
S60: APPLIED LIFE SCIENCES;
Resource subtype / Literary indicator
Numerical Data
Descriptors DEI
EXPERIMENTAL DATA; MUTATIONS; PLANT GROWTH; PRODUCTIVITY; RADIATION INDUCED MUTANTS; SOYBEANS; YIELDS
Descriptors DEC
DATA; FOOD; GROWTH; INFORMATION; MUTANTS; NUMERICAL DATA; SEEDS; VEGETABLES