Combining grain yield, protein content and protein quality by multi-trait genomic selection in bread wheat

面筋 选择(遗传算法) 生物 特质 生物技术 蛋白质质量 产量(工程) 人口 农学 粮食品质 植物育种 食品科学 计算机科学 材料科学 机器学习 冶金 程序设计语言 人口学 社会学
作者
Sebastian Michel,Franziska Löschenberger,Christian Ametz,Bernadette Pachler,Ellen Sparry,Hermann Bürstmayr
出处
期刊:Theoretical and Applied Genetics [Springer Science+Business Media]
卷期号:132 (10): 2767-2780 被引量:40
标识
DOI:10.1007/s00122-019-03386-1
摘要

Simultaneous genomic selection for grain yield, protein content and dough rheological traits enables the development of resource-use efficient varieties that combine superior yield potential with comparably high end-use quality. Selecting simultaneously for grain yield and baking quality is a major challenge in wheat breeding, and several concepts like grain protein deviations have been developed for shifting the undesirable negative correlation between both traits. The protein quality is, however, not considered in these concepts, although it is an important aspect and might facilitate the selection of genotypes that use available resources more efficiently with respect to the quantity and quality of the final end products. A population of 480 lines from an applied wheat breeding programme that was phenotyped for grain yield, protein content, protein yield and dough rheological traits was thus used to assess the potential of using integrated genomic selection indices to ease selection decisions with regard to the plethora of quality traits. Additionally, the feasibility of achieving a simultaneous genetic improvement in grain yield, protein content and protein quality was investigated to develop more resource-use efficient varieties. Dough rheological traits related to either gluten strength or viscosity were combined in two separate indices, both of which showed a substantially smaller negative trade-off with grain yield than the protein content. Genomic selection indices based on regression deviations for the two latter traits were subsequently extended by the gluten strength or viscosity indices. They revealed a large merit for identifying resource-use efficient genotypes that combine both superior yield potential with comparably high end-use quality. Hence, genomic selection opens up the opportunity for multi-trait selection in early generations, which will most likely increase the efficiency when developing new and improved varieties.

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
Eddie发布了新的文献求助10
刚刚
Han应助luoluoan采纳,获得10
1秒前
1秒前
XIANG完成签到 ,获得积分10
1秒前
menghongmei完成签到 ,获得积分10
1秒前
widesky777发布了新的文献求助10
1秒前
2秒前
3秒前
小糊涂仙发布了新的文献求助10
3秒前
越啊完成签到,获得积分10
4秒前
qq1033312015完成签到,获得积分20
4秒前
5秒前
wwwwl完成签到,获得积分10
5秒前
Han应助wuludie采纳,获得10
6秒前
SciGPT应助牧紫菱采纳,获得10
6秒前
xiaobai完成签到,获得积分20
6秒前
YHW完成签到,获得积分10
6秒前
爆米花应助任性代柔采纳,获得10
6秒前
7秒前
cultromics发布了新的文献求助20
7秒前
ZJ关闭了ZJ文献求助
7秒前
平淡1997亮眼小虫虫完成签到 ,获得积分10
7秒前
上官若男应助zzz采纳,获得10
8秒前
空想家从不存在完成签到,获得积分20
8秒前
8秒前
茱萸发布了新的文献求助10
9秒前
动听的酒窝完成签到,获得积分10
10秒前
幽默枫完成签到,获得积分10
10秒前
10秒前
俭朴苑博应助m78采纳,获得10
10秒前
Hello应助是重点采纳,获得10
10秒前
10秒前
xiaobai发布了新的文献求助10
10秒前
10秒前
李健应助惊鸿客采纳,获得10
11秒前
小蘑菇应助追寻依风采纳,获得10
11秒前
EvenCai发布了新的文献求助10
11秒前
无花果应助Rqbnicsp采纳,获得10
11秒前
11秒前
12秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Pediatric Dermoscopy Trichoscopy & Onychoscopy 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Clinical effects of budesonide oxygen driving atomization on patients with chronic obstructive pulmonary disease at acute exacerbation phase 500
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7569317
求助须知:如何正确求助?哪些是违规求助? 9149430
关于积分的说明 19566954
捐赠科研通 7155104
什么是DOI,文献DOI怎么找? 3263318
关于科研通互助平台的介绍 2429152
邀请新用户注册赠送积分活动 2253649