Sold out

Heterosis, Combining Ability and QTL Analysis in Tomato - Genetic Variability, Combining Ability, Hetarosys and QTL Analysis of Ten Parent Diallel Crosses of Tomato

English · Paperback / Softback

Description

Read more

Ninety F1 hybrids obtained by diallel cross involving ten tomato genotypes displayed wide range of variation and heterosis for ten characters studied. Heritability was the highest for no. of fruit/cluster, fruits/plant, fruit yield/plant and no. of seeds/fruit. The highest genetic advance and genetic advance expressed as percentage were recorded for the characters no. of fruits/plant and no. of seeds/fruit. The genetic advance, coefficient of variability and heritability indicated that selection of superior parents based on these characters might be effective in hybridization programme to develop high performing tomato hybrids. Combining ability analysis showed that yield and yield component characters were found to be controlled by both additive and non-additive genes. Good combiner genotypes Japany, Epoch, Namdahri, Ratan and Legend possessed mostly dominant genes for all the characters. For QTL analysis F2 population was developed from a cross between two tomato genotypes Dynasagor and Bari-4. Five QTLs were identified with fruit yield/plant. Of five, three QTLs were contributed by the parent Dynasagor and two were contributed by parent Bari-4.

Product details

Authors Mofidu Hannan, Mofidul Hannan, Monzu Hossain, Monzur Hossain, Rafiul Islam
Publisher LAP Lambert Academic Publishing
 
Languages English
Product format Paperback / Softback
Released 06.09.2012
 
EAN 9783659214417
ISBN 978-3-659-21441-7
No. of pages 180
Subject Natural sciences, medicine, IT, technology > Biology > Botany

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.