Progress and perspective on cotton breeding in Pakistan

Author:

Shahzad Kashif,Mubeen Iqra,Zhang Meng,Zhang Xuexian,Wu Jianyong,Xing ChaozhuORCID

Abstract

AbstractCotton is the prime natural fiber with economic significance globally. Cotton farming and breeding have a long history in Pakistan. The development of high yielding upland cotton (Gossypium hirsutum) varieties gradually replaced the cultivation of diploid Gossypium species. Climate change along with emergence of new epidemic diseases caused yield loss in recent years. The biotic stress considerably reduced the performance and yield potential of cotton. Suitable breeding strategies are essential to generate useful genetic variations and to identify desired traits. Conventional breeding has remarkably increased cotton yield and fiber quality, which has cultivated the NIAB-78, S-12, MNH‐786, and FH‐Lalazar like cultivars. However, this phenotypic selection based breeding method has low efficiency to produce stress resilient cotton. The efficiency of traditional breeding has significantly improved by the marker assisted selection technology. Breakthroughs in molecular genetics, bioinformatics analysis, genetic engineering, and genome sequencing have opened new technique routes for cotton breeding. In addition, genetic improvement through quantitative trait loci, transcriptome, and CRISPR/Cas9 mediated genomic editing can provide suitable platform to improve the resistance to stresses induced by bollworms, cotton leaf curl virus, heat, drought, and salt. The approval of transgenic lines harboring triple gene Cry1Ac + Cry2A + GTG are critical for cotton crop. This review has critically discussed the progress and limitations of cotton breeding in Pakistan, and reviewed the utilization of novel genetic variations and selection tools for sustainable cotton production.

Funder

Zhongyuan Academician Foundation

General Program of the National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Agricultural and Biological Sciences (miscellaneous),Biochemistry, Genetics and Molecular Biology (miscellaneous)

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