Correlation and Path Coefficient for Economic Traits of Fruit Mulberry (Morus spp.) Based on Criteria Mulberry Selection

Author:

Nonthakod Sujaree1,Wiwacharn Putthaporn2,Sangsiri Chontira3,Kajonphol Tanaporn1

Affiliation:

1. Kasetsart University

2. Queen Sirikit Sericulture Center Sakon Nakhon

3. Mahidol University

Abstract

This study was conducted to analyze the correlation between traits of fruit mulberry from 71 hybrid accessions. The results revealed that the fruit yield (FY) had intermediately positive correlated to branch per trunk (BPT, r = 0.46). Fruit width (FWI) had very highly positive correlated to fruit length (FL, r = 0.77) and fruit weight (FWE, r = 0.86). Fruit length (FL) had highly positive correlated to fruit weight (FWE, r = 0.91) but had slightly negative correlated to bud per branch (BPB, r = -0.28). Fruit weight (FWE) had slightly positive correlated to branch length per trunk (BLPT, r = 0.27) but had slightly negative correlated to bud per branch (BPB, r = -0.29). Finally, branch length per trunk (BLPT) had intermediately negative correlated to bud per branch (BPB, r = -0.39). Additionally, the economic traits which had highly positive direct effect through fruit yield was branch length per trunk (BLPT, path coefficient = 0.428). The correlation and path analysis are suggested for the direct selection of branch length per trunk for fruit mulberry yield improvement. This result showed the relationship among traits and making indirect criteria for selection fruit mulberry in breeding system.

Publisher

Trans Tech Publications, Ltd.

Reference11 articles.

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3. K.U. Yilmaz, Y. Zengin, S. Ercisli, M.N. Demirtas, T. Kan and A.R. Nazli, Morphological diversity on fruit characteristic among some selected mulberry genotypes from turkey, The Journal of Animal & Plant Sciences. 22(1) (2012) 211–214.

4. S. Keskin and F. Yasar, Use of canonical correlation analysis for determination of relationships among several traits in egg plant (Solanum melongena L.) under salt stress, Pak. J. Bot. 39 (2007) 1547–1552.

5. D.R. Hardoon, S. Szedmak and J. Shawe-Taylor, Canonical correlation analysis; an overview with application to learning methods, Technical Report CSDTR-03-02, London, (2003).

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