Literature DB >> 33186658

Harnessing High-throughput Phenotyping and Genotyping for Enhanced Drought Tolerance in Crop Plants.

Javaid Akhter Bhat1, Rupesh Deshmukh2, Tuanjie Zhao1, Gunvant Patil3, Amit Deokar4, Suhas Shinde5, Juhi Chaudhary6.   

Abstract

Development of drought-tolerant cultivars is one of the challenging tasks for the plant breeders due to its complex inheritance and polygenic regulation. Evaluating genetic material for drought tolerance is a complex process due to its spatiotemporal interactions with environmental factors. The conventional breeding approaches are costly, lengthy, and inefficient to achieve the expected gain in drought tolerance. In this regard, genomics-assisted breeding (GAB) offers promise to develop cultivars with improved drought tolerance in a more efficient, quicker, and cost-effective manner. The success of GAB depends upon the precision in marker-trait association and estimation of genomic estimated breeding values (GEBVs), which mostly depends on coverage and precision of genotyping and phenotyping. A wide gap between the discovery and practical use of quantitative trait loci (QTL) for crop improvement has been observed for many important agronomical traits. Such a limitation could be due to the low accuracy in QTL detection, mainly resulting from low marker density and manually collected phenotypes of complex agronomic traits. Increasing marker density using the high-throughput genotyping (HTG), and accurate and precise phenotyping using high-throughput digital phenotyping (HTP) platforms can improve the precision and power of QTL detection. Therefore, both HTG and HTP can enhance the practical utility of GAB along with a faster characterization of germplasm and breeding material. In the present review, we discussed how the recent innovations in HTG and HTP would assist in the breeding of improved drought-tolerant varieties. We have also discussed strategies, tools, and analytical advances made on the HTG and HTP along with their pros and cons.
Copyright © 2020 Elsevier B.V. All rights reserved.

Keywords:  Genomic selection; Genomics; Genomics-assisted breeding; Phenomics; Stress tolerance; Water-stress

Year:  2020        PMID: 33186658     DOI: 10.1016/j.jbiotec.2020.11.010

Source DB:  PubMed          Journal:  J Biotechnol        ISSN: 0168-1656            Impact factor:   3.307


  8 in total

Review 1.  New approaches to improve crop tolerance to biotic and abiotic stresses.

Authors:  Miguel González Guzmán; Francesco Cellini; Vasileios Fotopoulos; Raffaella Balestrini; Vicent Arbona
Journal:  Physiol Plant       Date:  2021-09-17       Impact factor: 5.081

Review 2.  The influence of endophytes on rice fitness under environmental stresses.

Authors:  Showkat Ahmad Ganie; Javaid Akhter Bhat; Alessandra Devoto
Journal:  Plant Mol Biol       Date:  2021-12-02       Impact factor: 4.335

3.  The Effect of Silicon on Osmotic and Drought Stress Tolerance in Wheat Landraces.

Authors:  Sarah J Thorne; Susan E Hartley; Frans J M Maathuis
Journal:  Plants (Basel)       Date:  2021-04-20

Review 4.  Features and applications of haplotypes in crop breeding.

Authors:  Javaid Akhter Bhat; Deyue Yu; Abhishek Bohra; Showkat Ahmad Ganie; Rajeev K Varshney
Journal:  Commun Biol       Date:  2021-11-04

5.  Detecting QTL and Candidate Genes for Plant Height in Soybean via Linkage Analysis and GWAS.

Authors:  Jiajing Wang; Bo Hu; Yuliang Jing; Xiping Hu; Yue Guo; Jiankun Chen; Yuxi Liu; Jianhui Hao; Wen-Xia Li; Hailong Ning
Journal:  Front Plant Sci       Date:  2022-01-21       Impact factor: 5.753

6.  Genome-Wide Identification of the AP2/ERF Gene Family and Functional Analysis of GmAP2/ERF144 for Drought Tolerance in Soybean.

Authors:  Haitang Wang; Danqing Ni; Jiacheng Shen; Sushuang Deng; Huidong Xuan; Congcong Wang; Jianyu Xu; Li Zhou; Na Guo; Jinming Zhao; Han Xing
Journal:  Front Plant Sci       Date:  2022-03-28       Impact factor: 5.753

7.  Identification of superior haplotypes in a diverse natural population for breeding desirable plant height in soybean.

Authors:  Javaid Akhter Bhat; Benjamin Karikari; Kehinde Adewole Adeboye; Showkat Ahmad Ganie; Rutwik Barmukh; Dezhou Hu; Rajeev K Varshney; Deyue Yu
Journal:  Theor Appl Genet       Date:  2022-05-31       Impact factor: 5.574

8.  Characterization of SOD and GPX Gene Families in the Soybeans in Response to Drought and Salinity Stresses.

Authors:  Muqadas Aleem; Saba Aleem; Iram Sharif; Zhiyi Wu; Maida Aleem; Ammara Tahir; Rana Muhammad Atif; Hafiza Masooma Naseer Cheema; Amir Shakeel; Sun Lei; Deyue Yu; Hui Wang; Prashant Kaushik; Mohammed Nasser Alyemeni; Javaid Akhter Bhat; Parvaiz Ahmad
Journal:  Antioxidants (Basel)       Date:  2022-02-25
  8 in total

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