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Harnessing High-throughput Phenotyping and Genotyping for Enhanced Drought Tolerance in Crop Plants.
Bhat, Javaid Akhter; Deshmukh, Rupesh; Zhao, Tuanjie; Patil, Gunvant; Deokar, Amit; Shinde, Suhas; Chaudhary, Juhi.
Afiliación
  • Bhat JA; Soybean Research Institute, Nanjing Agricultural University, Nanjing, Jiangsu, People's Republic of China.
  • Deshmukh R; National Agri-Food Biotechnology Institute, Mohali, India.
  • Zhao T; Soybean Research Institute, Nanjing Agricultural University, Nanjing, Jiangsu, People's Republic of China.
  • Patil G; Institute of Genomics for Crop Abiotic Stress Tolerance, Texas Tech University, Department of Plant and Soil Science, Box 42122, Lubbock, TX 79409, USA.
  • Deokar A; Department of Plant Sciences, University of Saskatchewan, Saskatoon, SK, Canada.
  • Shinde S; Department of Biology and Gus R. Douglass Institute, West Virginia State University, Institute, WV, 25112, USA. Electronic address: suhas.shinde@wvstateu.edu.
  • Chaudhary J; Department of Biology, Oberlin College, Oberlin, OH 44074, USA. Electronic address: juhi.chaudhary@gmail.com.
J Biotechnol ; 324: 248-260, 2020 Dec 20.
Article en En | MEDLINE | ID: mdl-33186658
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.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Sequías / Fitomejoramiento Idioma: En Revista: J Biotechnol Asunto de la revista: BIOTECNOLOGIA Año: 2020 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Sequías / Fitomejoramiento Idioma: En Revista: J Biotechnol Asunto de la revista: BIOTECNOLOGIA Año: 2020 Tipo del documento: Article