Performance of two cotton interspecific hybrids (Gossypium hirsutum L. × G. barbadense L.) in Greece: A comparative case study

Author:

BESLEMES Dimitrios,MAVROEIDIS Antonios,TIGKA Evangelia,ROUSSIS Ioannis,STAVROPOULOS Panteleimon,VATOUGIOS Dimitrios,TSELA Aikaterini,TSOPANOGLOU Aikaterini,KAKABOUKI Ioanna

Abstract

Cotton (Gossypium hirsutum L.) is one of the most prominent and important industrial crops. In Greece, cotton farming occupies a significant share of the agricultural sector. However, the adverse effects of climate change have raised concerns regarding its performance in the near future, thus it is crucial to develop adaptation strategies for the production of cotton in Greece. One such alternative is the adoption of interspecific hybrids (G. hirsutum × G. barbadense). These hybrids have been suggested to be more resilient and to outperform their parental varieties. In order to evaluate the potential of such hybrids, a field experiment was conducted in two sites in Greece. Two novel cotton hybrids (1432 and 701) and a conventional variety (‘Elpida’) were farmed in two different plant densities (8 and 13 plants m2) and their agronomic traits (biomass, LAI), yield and yield components (seed cotton yield, lint yield, seed yield, ration lint/seed cotton, and ratio seed/seed cotton), and quality traits were assessed. The agronomic traits and the yield of the hybrids were equal or superior in comparison to ‘Elpida’. Similar findings were also observed in the majority of the quality traits. Based on our results, interspecific cotton hybrids are promising for the European cotton sector.  

Publisher

University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3