QTL Mining and Validation of Grain Nutritional Quality Characters in Rice (<i>Oryza sativa</i> L.) Using Two Introgression Line Populations

QTL Mining and Validation of Grain Nutritional Quality Characters in Rice (<i>Oryza sativa</i> L.) Using Two Introgression Line Populations

Nutritional grain quality is mainly influenced by the protein fraction content and grain protein content. Quantitative trait loci (QTL) mining for five traits, about 245 and 284 BC<sub>3</sub>F<sub>3</sub> individual families of two introgression line (IL) populations were de...

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Bibliographic Details
Main Authors: Mufid Alam, Xuan Tan, Hao Zhang, Guangming Lou, Hanyuan Yang, Yin Zhou, Amjad Hussain, Parashuram Bhantana, Gonghao Jiang, Yuqing He
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Agriculture
Subjects:
<i>Oryza</i> sativa
albumin
globulin
prolamin
glutelin
grain protein content
Online Access:https://www.mdpi.com/2077-0472/13/9/1725

Internet

https://www.mdpi.com/2077-0472/13/9/1725

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