Identification of a Novel QTL for Panicle Length From Wild Rice () by Specific Locus Amplified Fragment Sequencing and High Density Genetic Mapping

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Identification of a Novel QTL for Panicle Length From Wild Rice () by Specific Locus Amplified Fragment Sequencing and High Density Genetic Mapping

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наукова стаття, опублікована у 2018

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Identification of a Novel QTL ...... d High Density Genetic Mapping

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Identification of a Novel QTL for Panicle Length From Wild Rice

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Identification of a Novel QTL ...... d High Density Genetic Mapping

@en

Identification of a Novel QTL for Panicle Length From Wild Rice

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Identification of a Novel QTL ...... d High Density Genetic Mapping

@en

Identification of a Novel QTL for Panicle Length From Wild Rice

@nl

P1476

Identification of a Novel QTL ...... d High Density Genetic Mapping

@en

P2093

Aihua Sha

http://www.w3.org/2001/XMLSchema#string

Sibin Guo

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Xiaoqiong Li

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Yu Wei

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Zhengzheng Zhu

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P2860

SOAP2: an improved ultrafast tool for short read alignment

The map-based sequence of the rice genome

Rapid isolation of high molecular weight plant DNA

Construction and analysis of high-density linkage map using high-throughput sequencing data

OsCD1 encodes a putative member of the cellulose synthase-like D sub-family and is essential for rice plant architecture and growth.

QTL analysis and dissection of panicle components in rice using advanced backcross populations derived from Oryza Sativa cultivars HR1128 and 'Nipponbare'.

Selective mapping: a strategy for optimizing the construction of high-density linkage maps.

SLAF-seq: an efficient method of large-scale de novo SNP discovery and genotyping using high-throughput sequencing.

A High-Density Genetic Linkage Map for Cucumber (Cucumis sativus L.): Based on Specific Length Amplified Fragment (SLAF) Sequencing and QTL Analysis of Fruit Traits in Cucumber.

Identification of a Candidate Gene for Panicle Length in Rice (Oryza sativa L.) Via Association and Linkage Analysis.

P304

1492

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P31

scholarly article

P356

10.3389/FPLS.2018.01492

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P407

English

P478

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P577

2018-01-01T00:00:00Z

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P698

30459776

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P932

6232755

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