ConvCGP: A convolutional neural network to predict genetic values of agronomic traits from compressed genome-wide polymorphisms [0.03%]
基于压缩的全基因组多态性预测 agronomical 性状遗传值的卷积神经网络 ConvCGP
Tanzila Raihan,Chyon Hae Kim,Hiroyuki Shimono et al.
Tanzila Raihan et al.
The growing size of genome-wide polymorphism data in animal and plant breeding has raised concerns regarding computational load and time, particularly when predicting genetic values for target traits using genomic prediction. Several deep l...
Genetic control of wheat flour end-use quality and rheology by genome-wide association studies [0.03%]
基于全基因组关联分析的 wheat flour 面团品质性状遗传解析
Juan Menor de Gaspar,Richard D Cuthbert,Ruan Yuefeng et al.
Juan Menor de Gaspar et al.
Improving end-use quality in bread wheat (Triticum aestivum) requires dissecting the genetic basis of complex processing traits and deploying robust prediction pipelines in breeding. We performed genome-wide association studies (GWASs) usin...
Wheat's war against stripe rust: Integrating host immunity, genomics and breeding for durable resistance [0.03%]
小麦与条锈病抗争的战争：持久抗病性的遗传学、基因组学和育种研究
Farkhandah Jan,Mukesh Rathore,Dinesh Kumar Saini et al.
Farkhandah Jan et al.
Wheat (Triticum aestivum L.), a foundation of global food security, faces persistent threats from stripe rust caused by Puccinia striiformis f. sp. tritici (Pst). The pathogen thrives in cool and humid environments and regularly causes epid...
Transcriptome assemblies for two drug-type cannabis chemotypes by long-read RNA sequencing [0.03%]
通过长读RNA测序对两种药物型大麻化学亚型的转录组组装
Oliver Berkowitz,Ricarda Jost,Sophia Ng et al.
Oliver Berkowitz et al.
Cannabis sativa has undergone over 10,000 years of domestication, resulting in extensive genetic and phenotypic diversity among cultivated chemotypes. Increased medical and recreational use of specialized metabolites accumulating in cannabi...
Genome association of carbohydrate metabolites provides new insights toward functional breeding in coffee [0.03%]
碳水化合物代谢产物的基因组关联分析为咖啡功能育种提供新见解
Estefania Tavares Flores,Robert Logan Spicer,Elaine M R Souza et al.
Estefania Tavares Flores et al.
Coffee is one of the world's most widely consumed beverages, derived mainly from Coffea arabica, known for its superior flavor, and Coffea canephora (Robusta/Conilon), valued for its resilience and higher caffeine content. Functional breedi...
Genome-wide association studies for identifying SNPs and candidate genes associated with grain quality traits in rice (Oryza sativa L.) [0.03%]
水稻（Oryza sativa L.）品质性状的全基因组关联分析及效应SNPs和候选基因鉴定
Shivani Darmagaru,Abdul Fiyaz Rahaman,Farzana Jabeen et al.
Shivani Darmagaru et al.
Ensuring superior quality is of paramount objective in modern rice (Oryza sativa L.) breeding program and investigating quality traits is crucial for developing superior rice varieties. The current study aimed for identifying single nucleot...
Karl H Kunze,Travis E Rooney,Daniel Sweeney et al.
Karl H Kunze et al.
Preharvest sprouting (PHS) resistance and seed dormancy are key targets for malting barley (Hordeum vulgare L.) in environments with a high probability of rain events at harvest. Characterization has been limited in winter malting barley co...
Allele-informed QTL-seq identifies Hd18 as a minor modifier of heading date in elite rice cultivars [0.03%]
基于基因型的QTL-seq技术发掘调控水稻抽穗期的微效修饰基因
Hayeong Lee,Mina Kim,Jiheon Han et al.
Hayeong Lee et al.
Fine-tuning heading date is critical for optimizing yield, grain quality, and local adaptation in rice (Oryza sativa L.). QTL-seq (where QTL is quantitative trait locus), which integrates bulked segregant analysis with whole-genome resequen...
Identification and genomic location of resistance to bacterial leaf streak of barley [0.03%]
大麦细菌叶 stripe抗病基因的鉴定及染色体定位
Diel Donne Velasco,Gongjun Shi,Robert Bruggeman et al.
Diel Donne Velasco et al.
The bacterial leaf streak (BLS) disease of barley (Hordeum vulgare L.), caused by Xanthomonas translucens pv. translucens (Xtt), has become increasingly important worldwide in recent years. Inefficacy of chemical control methods leaves depl...
Multi-environment evaluation and genomic prediction of agronomic traits in the southern US rice genepool [0.03%]
美国南部水稻种质资源的农艺性状多环境评估及基因组预测
Mary-Francis LaPorte,Haixiao Hu,Walter Solomon et al.
Mary-Francis LaPorte et al.
The southern United States is responsible for 80% of the country's production of rice, approximately half of which is exported. Understanding genotypic and environmental factors impacting the historical performance of rice (Oryza sativa L.)...