首页> 外文期刊>Journal of Plant Biology >Flood Tolerance in Crops: Research Accomplishment of Indian Scientists
【24h】

Flood Tolerance in Crops: Research Accomplishment of Indian Scientists

机译:作物的耐洪能力:印度科学家的研究成就

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

Flooding or waterlogging is detrimental to most of the agricultural crops. Pulses are most sensitive and rice, sugarcane and jute crops are moderately tolerant to flooding or water logging. In India, most of the basic research pertaining to flooding is limited to rice with little work on sugarcane and jute. A large number of genotypes in these crops were identified and developed through breeding but possessed low to moderate tolerance with low yield. Mechanism of flood tolerance in rice has been widely studied in India and abroad and information generated is being utilized to develop genotypes having high to moderate flood tolerance with high yield. Molecular markers have been identified and are being used for further improvement in tolerance and yield. It has been shown that flooding tolerance or submergence tolerance is controlled by a small number of genes that are partially or completely dominant. DNA markers for major QTL for tolerance and marker-assisted selection are potential tools for further improvement of flood tolerance in crops. Research on flood tolerance or water logging in maize, wheat, lentil and other crops is at nascent stage. This article is confined to update information on mechanism of flood tolerance in cr ops with special reference to contribution of Indian scientist's and classical work.
机译:洪水或涝灾对大多数农作物有害。豆类最敏感,稻米,甘蔗和黄麻作物对洪水或涝渍的耐受性中等。在印度,与洪水有关的大多数基础研究都限于水稻,对甘蔗和黄麻的研究很少。通过育种鉴定并开发了这些作物中的大量基因型,但它们具有低到中等的耐受性,且产量低。在印度和国外,水稻的耐旱机理已得到广泛研究,并且利用所产生的信息来开发具有高至中等耐旱性和高产量的基因型。已经鉴定出分子标记,并将其用于进一步提高耐受性和产量。已经显示泛洪耐受性或淹没耐受性由少数部分或完全占优势的基因控制。用于主要QTL耐性和标记辅助选择的DNA标记是进一步提高农作物抗洪能力的潜在工具。玉米,小麦,小扁豆和其他农作物的耐洪或涝渍研究尚处于初期阶段。本文仅限于更新关于crops中的抗洪机制的信息,尤其要参考印度科学家和古典著作的贡献。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号