Combining genome-wide association and genomic prediction to unravel the genetic architecture of carotenoid accumulation in carrot [0.03%]
结合全基因组关联和基因组预测解析胡萝卜类黄酮累积的遗传基础
William R Rolling,Shelby Ellison,Kevin Coe et al.
William R Rolling et al.
Carrots (Daucus carota L.) are a rich source of provitamin A, namely, α- and β-carotene. Breeding programs prioritize increasing β-carotene content for improved color and nutrition. Understanding the genetic basis of carotenoid accumulat...
Genome-wide association study identifies QTL and candidate genes for grain size and weight in a Triticum turgidum collection [0.03%]
一项全基因组关联研究在一系列Triticum turgidum中鉴定出控制籽粒大小和重量的QTL及候选基因
G Mangini,D Nigro,P L Curci et al.
G Mangini et al.
Wheat breeders are constantly looking for genes and alleles that increase grain yield. One key strategy is finding new genetic resources in the wild and domesticated gene pools of related species with genes affecting grain size. This study ...
A novel quantitative trait locus for barley yellow dwarf virus resistance and kernel traits on chromosome 2D of a wheat cultivar Jagger [0.03%]
蜡质春小麦新品系Jagger第2D染色体携带的新颖抗黄矮病毒和改善籽粒性状的QTL
Ruolin Bian,Na Liu,Yuzhou Xu et al.
Ruolin Bian et al.
Barley yellow dwarf (BYD) is one of the most serious viral diseases in cereal crops worldwide. Identification of quantitative trait loci (QTLs) underlining wheat resistance to barley yellow dwarf virus (BYDV) is essential for breeding BYDV-...
Erratum to: Priority actions for Fusarium head blight resistance in durum wheat: Insights from the wheat initiative [0.03%]
关于：小麦倡议对杜伦麦抗镰孢菌穗腐病优先行动的见解的勘误项
Ambra Viviani,Jemanesh K Haile,W G Dilantha Fernando et al.
Ambra Viviani et al.
Published Erratum
The plant genome. 2025 Mar;18(1):e20565. DOI:10.1002/tpg2.20565 2025
Combined transcriptomic and metabolomic analyses reveal the pharmacognostic mechanism of the metabolism of flavonoids in different parts of Polygonum capitatum [0.03%]
联合转录组和代谢组分析揭示Polygonum capitatum不同部位黄酮类成分代谢的药用植物学机制
Jie Yang,Yu Zhang,Bu-Fa Guo et al.
Jie Yang et al.
The plant Polygonum capitatum (P. capitatum) contains a variety of flavonoids that are distributed differently among different parts. Nevertheless, differentially expressed genes (DEGs) associated with this heterogeneous distribution have n...
Identification and characterization of a novel QTL for barley yellow mosaic disease resistance from bulbous barley [0.03%]
大麦球形品种抗黄矮病新QTL的鉴定与分析
Yi Hong,Hui Zhou,Mengna Zhang et al.
Yi Hong et al.
Winter barley (Hordeum vulgare) production areas in the middle and lower reaches of the Yangtze River are severely threatened by barley yellow mosaic disease, which is caused by Barley yellow mosaic virus and Barley mild mosaic virus. Impro...
Contrasting distributions and expression characteristics of transcribing repeats in Setaria viridis [0.03%]
绿缘禾转录重复序列的分布及其表达特征分析
Ana Luiza Franco,Wenjia Gu,Petr Novák et al.
Ana Luiza Franco et al.
Repetitive DNA contributes significantly to plant genome size, adaptation, and evolution. However, little is understood about the transcription of repeats. This is addressed here in the plant green foxtail millet (Setaria viridis). First, w...
Within-family genomic selection in strawberry: Optimization of marker density, trial design, and training set composition [0.03%]
基于家系的基因组选择在草莓育种中的应用：优化分子标记密度、试验设计及训练群体构成
Joshua Sleper,Ronald Tapia,Seonghee Lee et al.
Joshua Sleper et al.
Genomic selection is a widely used quantitative method of determining the genetic value of an individual from genomic information and phenotypic data. In this study, we used a large, multi-year training population of 3248 individuals from t...
Contribution of crossing over to genetic variance in maize and wheat populations [0.03%]
玉米和小麦群体中交叉互变对遗传变异的贡献
Rex Bernardo
Rex Bernardo
Crossing over breaks linkages and leads to a wider array of allele combinations. My objective was to assess the contribution of crossing over to genetic variance (VG) in maize (Zea mays L.) and wheat (Triticum aestivum L.). The contribution...
Integration of machine learning and genome-wide association study to explore the genomic prediction accuracy of agronomic trait in oats (Avena sativa L.) [0.03%]
集成机器学习和全基因组关联分析探索燕麦农艺性状的全基因组预测精度
Jinghan Peng,Xiong Lei,Tianqi Liu et al.
Jinghan Peng et al.
Machine learning (ML) has garnered significant attention for its potential to enhance the accuracy of genomic predictions (GPs) in various economic crops with the use of complete genomic information. Genome-wide association studies (GWAS) a...