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Stephen P Moose

Explore the profile of Stephen P Moose including associated specialties, affiliations and a list of published articles. Areas
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Articles 32
Citations 1171
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Recent Articles
1.
Park K, Quach T, Clark T, Kim H, Zhang T, Wang M, et al.
Plant Biotechnol J . 2024 Nov; 23(2):660-673. PMID: 39615039
Biomass crops engineered to accumulate energy-dense triacylglycerols (TAG or 'vegetable oils') in their vegetative tissues have emerged as potential feedstocks to meet the growing demand for renewable diesel and sustainable...
2.
Zhang Z, Gomes Viana J, Zhang B, Walden K, Muller Paul H, Moose S, et al.
Genome Res . 2024 Mar; 34(2):286-299. PMID: 38479835
Genetic diversity is critical to crop breeding and improvement, and dissection of the genomic variation underlying agronomic traits can both assist breeding and give insight into basic biological mechanisms. Although...
3.
Li M, Liu Z, Jiang N, Laws B, Tiskevich C, Moose S, et al.
Front Plant Sci . 2024 Jan; 14:1260005. PMID: 38288407
A central goal of biology is to understand how genetic variation produces phenotypic variation, which has been described as a genotype to phenotype (G to P) map. The plant form...
4.
Trieu A, Belaffif M, Hirannaiah P, Manjunatha S, Wood R, Bathula Y, et al.
Biotechnol Biofuels Bioprod . 2022 Dec; 15(1):148. PMID: 36578060
Background: Miscanthus, a C4 member of Poaceae, is a promising perennial crop for bioenergy, renewable bioproducts, and carbon sequestration. Species of interest include nothospecies M. x giganteus and its parental...
5.
Cao S, Wang L, Han T, Ye W, Liu Y, Sun Y, et al.
Genome Biol . 2022 Feb; 23(1):53. PMID: 35139883
Background: Hybridization and backcrossing are commonly used in animal and plant breeding to induce heritable variation including epigenetic changes such as paramutation. However, the molecular basis for hybrid-induced epigenetic memory...
6.
Cheng C, Li Y, Varala K, Bubert J, Huang J, Kim G, et al.
Nat Commun . 2021 Sep; 12(1):5627. PMID: 34561450
Inferring phenotypic outcomes from genomic features is both a promise and challenge for systems biology. Using gene expression data to predict phenotypic outcomes, and functionally validating the genes with predictive...
7.
Jarquin D, de Leon N, Romay C, Bohn M, Buckler E, Ciampitti I, et al.
Front Genet . 2021 Mar; 11:592769. PMID: 33763106
Genomic prediction provides an efficient alternative to conventional phenotypic selection for developing improved cultivars with desirable characteristics. New and improved methods to genomic prediction are continually being developed that attempt...
8.
Rogers A, Dunne J, Romay C, Bohn M, Buckler E, Ciampitti I, et al.
G3 (Bethesda) . 2021 Feb; 11(2). PMID: 33585867
High-dimensional and high-throughput genomic, field performance, and environmental data are becoming increasingly available to crop breeding programs, and their integration can facilitate genomic prediction within and across environments and provide...
9.
Mitros T, Session A, James B, Wu G, Belaffif M, Clark L, et al.
Nat Commun . 2020 Oct; 11(1):5442. PMID: 33116128
Miscanthus is a perennial wild grass that is of global importance for paper production, roofing, horticultural plantings, and an emerging highly productive temperate biomass crop. We report a chromosome-scale assembly...
10.
McFarland B, AlKhalifah N, Bohn M, Bubert J, Buckler E, Ciampitti I, et al.
BMC Res Notes . 2020 Feb; 13(1):71. PMID: 32051026
Objectives: Advanced tools and resources are needed to efficiently and sustainably produce food for an increasing world population in the context of variable environmental conditions. The maize genomes to fields...