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 Tools annual

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 monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Drought and heat stress that prevail during critical growth stages are amongst the most important constraints controlling yield ability of a sunflower crop. In this investigation, 73 adapted lines were evaluated under irrigated and rainy conditions using 7 checks for 100-seed weight (HSW), seed crude protein (SCP), kernel-grain ratio (KGR), hull-kernel ratio (HKR), leaf area (LA), total leaf area (TLA), stem height (SH), leaf number (LN), stem diameter (SD), seed width (SW), seed length (SL), head diameter (HD), leaf length (LL), leaf width (LW), leaf length-leaf width ratio (LLW), number of days of the cycle (NDC), and GDD (growing degree day), GDD (Emergence - Flowering) (GDD E-F), GDD (Flowering - Maturity) (GDD F-M), and GDD (Emergence - Maturity) GDD (EM). There were significant differences ( P &lt;0.001) between genotypes for all traits while a positive correlation between them ranged from 0.40 to 0.95. Principal component analysis indicated that two principal components accounted for 51.26% of total variability. The two axes were defined primarily by HSW, LL, LA, SW, SL, LN, SD, and GDD. Three groups were identified. The first group characterized by the highest HSW, SL, SW, SD and the second group characterized by the least LA. Sunflowers with low GDD constituted the third group. To determine a similarity index between different lines, we constructed a dendrogram generated by hierarchical UPGMA. Cluster analysis of the similarity coefficient matrices revealed five major clusters having 90% similarity. The selection of a genotype from this sunflower diversity would be an alternative to generate genetic material for breeding programs and yield improvement in semi-arid conditions.

ASSESSMENT OF DIVERSITY OF PHENOLOGICALLY AND MORPHOLOGICALLY RELATED TRAITS AMONG ADAPTED POPULATIONS OF SUNFLOWER (Helianthus annuus L.)