Characterization of Genes Associated with Salt Tolerance Using Transcriptome Analysis and Quantitative Trait Loci Mapping in Rice-Reference-Cited by-同舟云学术

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Characterization of Genes Associated with Salt Tolerance Using Transcriptome Analysis and Quantitative Trait Loci Mapping in Rice

Published:2021-12-01 Issue:4 Volume:9 Page:318-330
ISSN:2287-9358
Container-title:Plant Breeding and Biotechnology
language:en
Short-container-title:Plant Breed. Biotech.

Author:

Kim Dong-Min¹²,Kang Ju-Won¹³,Shim Kyu-Chan¹,Kim Hyun-Jung⁴,Tai Thomas H.⁵⁶,Ahn Sang-Nag¹

Affiliation:

1. Department of Agronomy, College of Agriculture & Life Sciences, Chungnam National University, Daejeon 34134, Korea

2. Kyeongnam Branch Office, Korea Seed & Varieties Service, Miryang 50449, Korea

3. Department of Southern Area Crop Science, Rural Development Administration, Miryang 50424, Korea

4. LG Chem., Ltd, Seoul 07796, Korea

5. USDA-ARS Crops Pathology and Genetics Research Unit, Davis, CA 95616, USA

6. Department of Plant Sciences, University of California, Davis, CA 95616, USA

Funder

Rural Development Administration

Publisher

Korean Society of Breeding Science

Subject

Plant Science,Biotechnology

Link

https://pdf.medrang.co.kr/ksbs/2021/009/ksbs009-04-318.pdf

Reference40 articles.

1. QTL mapping of grain quality traits from the interspecific cross Oryza sativa × O. glaberrima

2. Potential biochemical indicators of salinity tolerance in plants

3. Locating genes associated with root morphology and drought avoidance in rice via linkage to molecular markers

4. Stem cell transcriptome profiling via massive-scale mRNA sequencing

5. Locating QTLs controlling constitutive root traits in the rice population IAC 165 × Co39

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1. Phylogenomic profiles of whole-genome duplications in Poaceae and landscape of differential duplicate retention and losses among major Poaceae lineages;Nature Communications;2024-04-17

2. Grain protein function prediction based on self-attention mechanism and bidirectional LSTM;BRIEF BIOINFORM;2023

3. Grain protein function prediction based on self-attention mechanism and bidirectional LSTM;Briefings in Bioinformatics;2022-12-09

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