Similar Datasets
Project description:Green manure is widely advocated as a sustainable alternative to chemical fertilizers in crop systems, yet the mechanisms underlying its yield benefits remain unclear. Moreover, vigorous vegetative growth under green manure can elevate lodging risk, undermining yield and harvest efficiency. Here, we describe mechanisms by which hairy vetch–based green manure enhances yield and evaluate the practical value of deploying functionally weak alleles of gibberellin 20-oxidase (GA20ox) in this management context. We conducted field comparisons of green manure and conventional chemical fertilization to evaluate effects on rice productivity, grain appearance quality, and canopy physiology. Green manure significantly increased grain yield and grain appearance quality in the leading Japanese cultivar ‘Koshihikari’, accompanied by higher lodging. By contrast, high-yielding cultivars homozygous for a single-copy GA20ox1 allele and/or a non-functional GA20ox2 allele maintained superior lodging resistance under green manure treatment while improving yield and grain appearance quality, indicating an effective combination of its treatment and genotypes. Physiologically, green manure increased chlorophyll index during vegetative growth and at the reproductive stage, and nitrogen (N) concentration on the whole plant. Furthermore, green manure increased flag-leaf width and tiller number; these canopy changes were associated with reduced panicle temperature at the ripening stage. Green manure treatment induced upregulation of OsNADH-GOGAT2, a known gene associated with increased N loading to grains, and more grain storage proteins, providing a positive link to improved grain appearance quality. Collectively, this study demonstrates that integrating hairy vetch with functionally weak GA20ox alleles can enhance productivity and grain appearance quality while mitigating lodging risk. This sheds light on the importance of aligning green-manure treatment with targeted allelic selection to stabilize performance across intensive-farming systems and reduce chemical fertilizer dependency.
2026-01-19 | GSE313855 | GEO
Project description:Sheep manure compost Raw sequence reads
| PRJNA1050073 | ENA
Project description:Sheep manure compost Raw sequence reads
| PRJNA1050881 | ENA
Project description:Tail fat in sheep (Ovis aries), has evolved mainly in response to cold weather for better energy storage. As things stand, too much tail fat in sheep can lead to a reduction in feed utilisation and is also unpopular with consumers due to the excessive fat content in the tail of sheep. Therefore, the need to find the mechanism of tail fat formation is obvious. In this study, we elected to utilise Kazakh sheep, prolific Suffolk sheep, and their hybrid F2 generation as research objects. Sheep transcriptome sequencing technology was employed to screen and explore target candidate genes related to sheep tail fat deposition. Comparison with RNA-seq data from fat-tailed and thin-tailed tissue, the LncRNA-mRNA-miRNA axis was identified as main functional pathway in the formation of fat in tail. Our results offer valuable insights into the fat deposition of sheep and provide a significant genomic resource for future genetic studies and the enhancement of genome-assisted breeding in sheep and other domestic animals.
2025-02-28 | GSE290403 | GEO
Project description:The sheep (Ovis aries) plays a major socio-economic role in the world. Copy number variations (CNVs) are increasingly recognized as a key and potent source of genetic variation and phenotypic diversity, but little is known about the extent to which CNVs contribute to genetic variation in Chinese sheep breeds. Analyses of CNVs in the genomes of eight sheep breeds were performed using the sheep SNP50 BeadChip genotyping array. A total of 111 CNV regions (CNVRs) were obtained from 160 Chinese sheep breeds. These CNVRs covered 13.75 Mb of the sheep genome sequence. A total of 22 Go terms and 17 candidate genes were obtained from the functional analysis. Ten CNVRs were selected for validation, of which 7 CNVRs were further experimentally confirmed by quantitative PCR. Four candidate genes were selected to confirm the results of the functional analysis. These results provide a resource for furthering understanding of ruminant biology, and for further improving the genetic quality of sheep breeds.
2017-10-01 | GSE71584 | GEO
Project description:We carried out a cross species cattle-sheep array comparative genome hybridization (aCGH) experiment in order to identify copy number variations (CNVs) in the sheep genome analysing animals of Italian dairy breeds (Sarda, Bagnolese, Laticauda, Massese and Valle del Belice) using a tiling oligonucleotide array with ~385,000 probes designed on the bovine genome. We identified 135 CNV regions (CNVRs) covering about 10.5 Mb of the virtual sheep genome referred to the bovine genome (0.398%) with a mean and median equal to 77.6 kb and 55.9 kb, respectively. A comparative analysis between the identified sheep CNVRs and those reported in the cattle and goat genomes indicated that overlaps between sheep and goat and sheep and cattle CNVRs are highly significant (P<0.0001) suggesting that several chromosome regions might contain recurrent interspecies CNVRs. Many sheep CNVs affect genes with important biological functions. Further studies are needed to evaluate the functional relevance of these CNVs.
2010-11-16 | GSE25122 | GEO