Genetic improvement of eating and cooking quality of rice cultivars in southern China

生物 栽培 粳稻 粳稻 直链淀粉 遗传分析 育种计划 等位基因 农学 生物技术 淀粉 基因 植物 食品科学 遗传学
作者
Yue Cai,Zichun Chen,Jianju Liu,Ling Yu,Zhiping Wang,Shuhao Zhu,Wei Shi,Cunhong Pan,Yunyu Wu,Yuhong Li,Hongjuan Ji,Niansheng Huang,Xiaoxiang Zhang,Peng Gao,Ning Xiao,Shimin Zuo,Aihong Li
出处
期刊:Plant Biotechnology Journal [Wiley]
卷期号:23 (2): 518-531 被引量:7
标识
DOI:10.1111/pbi.14517
摘要

Summary The genetic improvement of rice eating and cooking quality (ECQ) is an important goal in rice breeding. It is important to understand the genetic regulation of ECQ at the genomic level for effective breeding to improve ECQ. However, the mechanisms underlying the improvement of ECQ of indica and japonica cultivars in southern China remain unclear. In this study, 290 rice cultivars (155 indica and 135 japonica cultivars) bred in southern China in the past 30 years were collected. Physicochemical indicators, namely, apparent amylose content (AAC), protein content (PC), lipid content and taste value, were measured and correlation analysis was performed. A decrease in AAC and PC was a crucial factor for the ECQ improvement of the rice cultivars in southern China. Genome‐wide association analysis and selective domestication analysis preliminarily clarified that the comprehensive utilization of major and minor genes was an important genetic basis for improvement of ECQ. An elite allele, RAmy1A A , with potential application in breeding to improve starch viscosity characteristics and ECQ, was mined. The Wx b / OsmtSSB1L T / OsDML4 G / RPBF T / Du3 T and Wx b / OsEro1 T /Glup3 G /OsNAC25 G / OsBEIIb C / RAmy1A A / FLO12 A gene modules, neither of which have been widely used, are proposed as the optimal allele combinations for ECQ improvement of indica and japonica cultivars in southern China. The results clarify the genetic regulation of rice ECQ improvement in southern China and provide novel genetic resources and breeding strategies for ECQ improvement in rice.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
bkagyin应助Camellia采纳,获得10
刚刚
NexusExplorer应助年轻的灵安采纳,获得10
1秒前
1秒前
1秒前
2秒前
2秒前
2秒前
怜寒完成签到,获得积分10
3秒前
CC关闭了CC文献求助
3秒前
swall5w发布了新的文献求助10
3秒前
wanci应助云雨无凭采纳,获得10
3秒前
lsl应助无聊的万天采纳,获得50
3秒前
3秒前
付1111发布了新的文献求助10
3秒前
wanci应助loster采纳,获得10
4秒前
4秒前
而当下的发布了新的文献求助10
4秒前
狂野芷波完成签到,获得积分10
4秒前
六六发布了新的文献求助10
5秒前
5秒前
在水一方应助小希采纳,获得10
5秒前
冷傲的锋发布了新的文献求助10
5秒前
传奇3应助学学学采纳,获得10
6秒前
BLUEEEE发布了新的文献求助10
6秒前
传奇3应助包容灭绝采纳,获得10
7秒前
科研通AI6.3应助糖豆子采纳,获得10
7秒前
NexusExplorer应助Leeny采纳,获得10
7秒前
7秒前
领导范儿应助小郭采纳,获得10
7秒前
vivy完成签到,获得积分10
8秒前
8秒前
李健应助微垣采纳,获得10
8秒前
FashionBoy应助那爱意有采纳,获得10
8秒前
冶金人完成签到,获得积分10
8秒前
ssiing完成签到,获得积分20
9秒前
9秒前
9秒前
9秒前
9秒前
10秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 800
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Materials selection in mechanical design 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6479284
求助须知:如何正确求助?哪些是违规求助? 8280538
关于积分的说明 17661444
捐赠科研通 5561878
什么是DOI,文献DOI怎么找? 2911396
邀请新用户注册赠送积分活动 1888408
关于科研通互助平台的介绍 1742449