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BIPLOT ANALYSIS OF TRAIT RELATIONS OF SPINACH (Spinacia oleracea L.) LANDRACES.

Authors :
SABAGHNIA, Naser
MOHEBODINI, Mehdi
JANMOHAMMADI, Mohsen
Source :
Genetika (0534-0012). 2016, Vol. 48 Issue 2, p675-690. 16p.
Publication Year :
2016

Abstract

Interest in growing winter spinach (Spinacia oleracea L.) in Iran is increasing due to its good nutritional potential returns relative to other vegetable crops. The objectives of this research were to investigate the interrelationships among different traits of spinach and to evaluate different Iranian spinach landraces with application of the genotype × trait (GT) biplot methodology in visualizing research data. 81 spinach landraces were grown during 2-years according to randomized complete block design with four replications. Ranking of the genotypes based on the ideal entry revealed that genotypes G1, G20, G7, G8, G9, G27, G49 G70 and G79 were higher in the measured traits and could be good candidates for improving most of the measured traits. Ranking of traits for the leaf yield showed that petiole diameter, petiole length, leaf numbers at flowering, 1000-seed weight and root dry weight were the most discriminating traits which influence spinach leaf yield at both years. There were 9 winning genotypes and 4 which-won-where patterns at the first year while there were 8 winning genotypes and 4 which-won-where patterns at the second year. As a result, the findings from our study are as follows: (i) traits leaf numbers at flowering, leaf length, leaf width, leaf area, petiole diameter and petiole length could be as selection indices for spinach leaf yield improvement, (ii) genotypes G1, G20, G7, G8, G9, G27, G49 G70, and G79 were the most favorable and is thus recommended for commercial release or incorporating in breeding programs; (iii) the GT biplot method can be used to identify superior genotypes in other crops and in other parts of the world. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
05340012
Volume :
48
Issue :
2
Database :
Academic Search Index
Journal :
Genetika (0534-0012)
Publication Type :
Academic Journal
Accession number :
117651018
Full Text :
https://doi.org/10.2298/GENSR1602675S