English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Salinity is one of the most important factors that limit crop production in   some regions of the world. Knowledge of the interrelationships between yield   and its components will improve the efficiency of breeding programs   especially under saline conditions through appropriate selection criteria.   This study demonstrated that GT biplot was an excellent tool for visual   evaluation of superior genotypes, traits and grouping of them with other   statistical techniques. The study was conducted under both saline and   non-saline conditions in field based on randomized complete block design with   three replications. Electrical conductivity of irrigation water were 2 and 10   dS.m-1 in non-saline and saline conditions, respectively. The obtained data   were analyzed using a genotype trait (GT) biplot method based on site   regression model. The biplot vector view indicate that there was a strong   positive association between PH and BY with seed yield in both non-saline and   saline conditions. It seems that PH and BY traits can be used as selection   criterion for improving of seed yield in wheat breeding programs, especially   under stress conditions in the field. Also among 41 studied genotypes,   genotype 32 had good characteristics regarding high seed yield and salt   tolerance

Graphic analysis of trait relations of Iranian bread wheat germplasm under non-saline and saline conditions using the biplot method