318
Views
12
CrossRef citations to date
0
Altmetric
Original Articles

Improvement in seed quantity and quality of spring safflower through foliar application of boron and zinc under end-season drought stress

, , &
Pages 942-953 | Received 16 Feb 2018, Accepted 22 Aug 2018, Published online: 19 Mar 2019
 

Abstract

Seed yield and quality are affected by water stress occurring at the reproductive stage of crops. Foliar application of micronutrients has been introduced as an agronomic approach to cope with such conditions. This study was undertaken to evaluate the effects of born (B) and zinc (Zn) on seed quantity and quality of spring safflower under late season water deficit. The experimental design was a split factorial in an randomized complete block (RCB) with three replications. The results showed that water deficit during flowering and seed-filling significantly decreased almost all traits compared to control only in 2014. Averaged over the 2 years, seedling length and vigor index were increased by Zn in all irrigation regimes. Germination rate and seed weight were increased by B and Zn in all irrigation treatments. It was concluded that foliar application of 350 ppm B and 1000 ppm Zn can considerably enhance seed yield and quality of safflower grown under terminal drought.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

The authors wish to thank the Research and post-graduation Committee of University of Mohaghegh Ardabili for a research grant in support of this project.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 495.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.