RICE PHENOTYPING THROUGH GRAIN QUALITY TRAITS FOR THE DEVELOPMENT OF NEW GENERATION CULTIVARS

Author:

MUKHINA ZH.M.,TUMANYAN N.G.,PAPULOVA E.YU.,GNENNIY E.YU.

Abstract

The present rice market requires a range of rice products with increased eating and nutritional values. The presented work was carried out within the framework of the breeding program for developing new rice cultivars with desirable grain quality traits based on an integrated approach, using modern methods of trait phenotyping and the genomic approach, post genomic, and cellular technologies. The latest study aimed to phenotype rice cultivars from the Unique Scientific Installation (USI) - Collection of Federal Scientific Rice Centre, Krasnodar, Russia, as sources of valuable grain quality traits. Studied traits included vitreosity, fracturing, and protein and grain amylose content. The coefficient of variation determined the variability of traits and helped identify the best cultivars as sources of valuable traits. The grain quality of harvested sample cultivars showed significant differences. The rice cultivar Thaibonnet gave the best results in terms of grain quality traits and variability. By combining low variability of technologically-tested quality traits and protein content, the rice cultivars Elbrus and Thaibonnet led all the samples. Cultivar Svetlana was characterized by high traits of vitreosity and fracturing and having less variability. The cultivars Leader and Patriot both had high protein content and low trait variability. These cultivars are recommended for use in parental crosses in breeding programs to develop rice genotypes with desirable grain quality traits and nutritional values.

Publisher

Society for the Advancement of Breeding Research in Asia and Oceania

Subject

Horticulture,Agronomy and Crop Science,Genetics,Animal Science and Zoology,Biotechnology

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3