Word or Tex form) to their personal website or institutional repository. Authors requiring further information regarding CASRP΄s archiving and manuscript policies encouraged to visit: http://www.casrp.co.uk/journals Abstract Selection of genotypes based on high value of heritability and forecasted genetic conditions would be an effective method for improvement of wheat cultivars. The present investigation was carried out to estimate the genetic variability of agro-physiological characters using biometrical genetic techniques in 20 bread wheat genotypes under irrigated condition. For this purpose an experiment was conducted to estimate the genetic parameters of some agro-physiological traits and their relationship with yield under Irrigated conditions. High genetic variability was observed between the genotypes for the characters grain yield (GY), chlorophyll a (Chl a), chlorophyll ab (Chl ab), quantum yield (QY), performance index (PI), relative water loss (RWL) and leaf chlorophyll content (LCC), therefore direct selection is effective for improvement of these traits.Total chlorophyll content (Chl ab), chlorophyll b (Chl b) and PI revealed high heritability and co-heritability with yield. Hence, they can be used as indirect selection for the improvement of yield under irrigated condition.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.