Rokib Hasan¹ , Matin Akand² , Nazmul Alam¹ , Abul Bashar¹ , A K M Mahmudul Huque³

1 Plant Breeding and Crop Improvement Laboratory, Department of Botany, Jahangirnagar University, Savar, Dhaka-1342, Bangladesh
2 Regional Spices Research Centre, BARI, Gazipur-1701, Bangladesh
3 Department of Molecular Biology, Division of Life Sciences, Hana Science Hall, Korea University, Seoul 02841, Republic of Korea (South)
Author    Correspondence author
Molecular Plant Breeding, 2016, Vol. 7, No. 19   doi: 10.5376/mpb.2016.07.0019
Received: 03 Mar., 2016    Accepted: 14 Apr., 2016    Published: 16 May, 2016

This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Rokib H., Matin A., Nazmul A., Abul B., and A K M Mahmudul H., 2016, Genetic Association Analysis and Selection Indices for Yield Attributing Traits in Available Chilli (Capsicum annuum L.) Genotypes, Molecular Plant Breeding, 7(19): 1-9 (doi: 10.5376/mpb.2016.07.0019)

The present investigation was conducted with 30 chilli genotypes at the experimental field of Regional Spices Research Centre, BARI, Gazipur to assess the genetic association and selection indices among yield and important yield attributing traits. Fruit length, fruit weight, 100 seed weight and fruits/plant showed significant and positive correlation with yield/plant both at genotypic and phenotypic level. Path coefficient analysis revealed that fruits/plant had maximum positive direct effect on yield. Besides fruits/plant; fruit weight, fruit length and number of primary branches/plant also contributed positive direct effect to yield. Selection indices were constructed through the discriminate functions using five characters. Highest relative efficiency was found for fruit weight +fruits/plant +yield/plant comparable to other combinations of characters. This research indicated that the selection of high yielding chilli genotypes based on these three characters might be more efficient. Biplot analysis was also performed to find out superior genotypes.

Chilli; Genotypic correlation; Path analysis; Selection index; Biplot