Multi-trait/environment sparse genomic prediction using the SFSI R-package [0.03%]
基于SFSI R包的多性状/环境稀疏基因组预测方法
Marco Lopez-Cruz,Gustavo de Los Campos
Marco Lopez-Cruz
Sparse selection indices (SSIs) can be used to predict the genetic merit of selection candidates using high-dimensional phenotypes (e.g., crop imaging) measured on each of the candidates of selection. Unlike traditional selection indices, S...
Genetic dissection of crown rust resistance in oat and the identification of key adult plant resistance genes [0.03%]
燕麦冠锈病抗性基因定位及成株抗病主效基因的鉴定
Nikwan Shariatipour,Mahboobeh Yazdani,Anders Carlsson et al.
Nikwan Shariatipour et al.
Crown rust (Puccinia coronata f. sp. Avenae Erikss.) poses a significant threat to oat production worldwide. The most effective strategy for managing this disease involves identifying, mapping, and deploying resistance genes to develop cult...
Identification of significant genome-wide associations and QTL underlying variation in seed protein composition in pea (Pisum sativum L.) [0.03%]
在豌豆中鉴定种子蛋白质组成变异的全基因组关联和QTL
Ahmed O Warsame,Janneke Balk,Claire Domoney
Ahmed O Warsame
Pulses are a valuable source of plant proteins for human and animal nutrition and have various industrial applications. Understanding the genetic basis for the relative abundance of different seed storage proteins is crucial for developing ...
Allelism of Rps3b and Rps11 revealed by NLR gene capture of resistance genes to Phytophthora sojae in soybean [0.03%]
大豆抗Phytophthora sojae基因的NLR基因捕获揭示了Rps3b和Rps11之间的等位基因关系
Yanick Asselin,Luann A F Dias,Caroline Labbé et al.
Yanick Asselin et al.
Exploitation of disease resistance genes in soybean (Glycine max (L.) Merr.), as an effective method for management of Phytophthora sojae (Kauf. & Gerd.), is on the verge of an impasse. Few of the known resistance genes are commercially exp...
Environment ensemble models for genomic prediction in common bean (Phaseolus vulgaris L.) [0.03%]
基于环境集成模型的大豆遗传评价及基因组预测研究
Isabella Chiaravallotti,Owen Pauptit,Valerio Hoyos-Villegas
Isabella Chiaravallotti
For important food crops such as the common bean (Phaseolus vulgaris, L.), global demand continues to outpace the rate of genetic gain for quantitative traits. In this study, we leveraged the multi-environment trial (MET) dataset from the c...
Discovering leaf and stripe rust resistance in soft red winter wheat through genome-wide association studies [0.03%]
通过全基因组关联分析在软红冬小麦中发掘小叶病和条锈病抗性基因
John W Bagwell,Mohamed Mergoum,Madhav Subedi et al.
John W Bagwell et al.
Leaf rust (LR) and stripe rust (YR), which are caused by Puccinia triticina and Puccinia striiformis, respectively, are among the most devastating wheat rusts worldwide. These diseases can be managed by using genetically resistant cultivars...
Genomic and biochemical comparison of allelic triple-mutant lines derived from conventional breeding and multiplex gene editing [0.03%]
基于常规育种和多重基因组编辑获得的等位基因三突变体系的全基因组及生化组对比分析
Junqi Liu,Ritesh Kumar,Samatha Gunapati et al.
Junqi Liu et al.
Multiplex gene editing allows for the simultaneous targeting and mutagenesis of multiple loci in a genome. This tool is particularly valuable for plant genetic improvement, as plant genomes often require mutations at multiple loci to confer...
Enhancing prediction accuracy of key biomass partitioning traits in wheat using multi-kernel genomic prediction models integrating secondary traits and environmental covariates [0.03%]
利用次级性状和环境协变量整合多核基因组预测模型提高小麦关键生物量分配性状预测准确度
Sudip Kunwar,Md Ali Babar,Diego Jarquin et al.
Sudip Kunwar et al.
Achieving significant genetic gains in grain yield (GY) in wheat (Triticum aestivum L.) requires optimization of the key biomass partitioning traits such as spike partitioning index (SPI) and fruiting efficiency (FE). However, traditional m...
Diana M Escamilla,Dongdong Li,Karlene L Negus et al.
Diana M Escamilla et al.
Genomic selection (GS) emerged as a key part of the solution to ensure the food supply for the growing human population thanks to advances in genotyping and other enabling technologies and improved understanding of the genotype-phenotype re...
Phenotypic and transcriptomic analysis reveals key genes associated with plant height in rubber tree and functional characterization of the candidate gene HbFLA11 [0.03%]
表型和转录组分析揭示了与橡胶树株高相关的关键基因及其候选基因HbFLA11的功能验证
Baoyi Yang,Yuanyuan Zhang,Weiguo Li et al.
Baoyi Yang et al.
The rubber tree (Hevea brasiliensis) is an important species in global natural rubber production. However, the mechanisms regulating the height of rubber trees remain poorly understood. In previous work, the dwarf mutant MU73397 was obtaine...