Dedicated Energy Crop

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D.k. Lee - One of the best experts on this subject based on the ideXlab platform.

  • Linkage mapping in prairie cordgrass (Spartina pectinata Link) using genotyping-by-sequencing
    Molecular Breeding, 2016
    Co-Authors: Joseph Crawford, Thomas Voigt, Patrick J Brown, D.k. Lee
    Abstract:

    Prairie cordgrass (Spartina pectinata Link) is a polyploid Chloridoid grass with tetraploid (2n = 40), hexaploid (2n = 60), and octoploid (2n = 80) cytotypes and is a potential Dedicated Energy Crop with promising yields in marginal environments. Efforts to breed prairie cordgrass are currently hampered by the lack of a linkage map, the lack of a Chloridoid reference genome, and the lack of information on inheritance patterns (disomic versus polysomic). Genotyping-by-sequencing (GBS) was applied to a population of 85 progenies from a reciprocal cross of heterozygous tetraploid parents. A total of 26,418 SNPs were discovered, with a distribution of allele frequencies suggesting disomic inheritance. A filtered set of 3034 single-dose, high-coverage SNPs was used for pseudo-testcross mapping with 63 progenies, resulting in two parental maps of 20 linkage groups containing 1522 and 1016 SNPs and a nearly 1:1 ratio of coupling to repulsion phase linkages, again suggesting disomic inheritance. Genomic contigs from tef, another Chloridoid grass, were used as a bridge to associate genetic markers in prairie cordgrass with unique positions in the sorghum genome, providing a glimpse into synteny between Chloridoids and other grasses. GBS enabled rapid generation of a linkage map that will aid in future breeding and genomics efforts in prairie cordgrass.

Joseph Crawford - One of the best experts on this subject based on the ideXlab platform.

  • Linkage mapping in prairie cordgrass (Spartina pectinata Link) using genotyping-by-sequencing
    Molecular Breeding, 2016
    Co-Authors: Joseph Crawford, Thomas Voigt, Patrick J Brown, D.k. Lee
    Abstract:

    Prairie cordgrass (Spartina pectinata Link) is a polyploid Chloridoid grass with tetraploid (2n = 40), hexaploid (2n = 60), and octoploid (2n = 80) cytotypes and is a potential Dedicated Energy Crop with promising yields in marginal environments. Efforts to breed prairie cordgrass are currently hampered by the lack of a linkage map, the lack of a Chloridoid reference genome, and the lack of information on inheritance patterns (disomic versus polysomic). Genotyping-by-sequencing (GBS) was applied to a population of 85 progenies from a reciprocal cross of heterozygous tetraploid parents. A total of 26,418 SNPs were discovered, with a distribution of allele frequencies suggesting disomic inheritance. A filtered set of 3034 single-dose, high-coverage SNPs was used for pseudo-testcross mapping with 63 progenies, resulting in two parental maps of 20 linkage groups containing 1522 and 1016 SNPs and a nearly 1:1 ratio of coupling to repulsion phase linkages, again suggesting disomic inheritance. Genomic contigs from tef, another Chloridoid grass, were used as a bridge to associate genetic markers in prairie cordgrass with unique positions in the sorghum genome, providing a glimpse into synteny between Chloridoids and other grasses. GBS enabled rapid generation of a linkage map that will aid in future breeding and genomics efforts in prairie cordgrass.

Thomas Voigt - One of the best experts on this subject based on the ideXlab platform.

  • Linkage mapping in prairie cordgrass (Spartina pectinata Link) using genotyping-by-sequencing
    Molecular Breeding, 2016
    Co-Authors: Joseph Crawford, Thomas Voigt, Patrick J Brown, D.k. Lee
    Abstract:

    Prairie cordgrass (Spartina pectinata Link) is a polyploid Chloridoid grass with tetraploid (2n = 40), hexaploid (2n = 60), and octoploid (2n = 80) cytotypes and is a potential Dedicated Energy Crop with promising yields in marginal environments. Efforts to breed prairie cordgrass are currently hampered by the lack of a linkage map, the lack of a Chloridoid reference genome, and the lack of information on inheritance patterns (disomic versus polysomic). Genotyping-by-sequencing (GBS) was applied to a population of 85 progenies from a reciprocal cross of heterozygous tetraploid parents. A total of 26,418 SNPs were discovered, with a distribution of allele frequencies suggesting disomic inheritance. A filtered set of 3034 single-dose, high-coverage SNPs was used for pseudo-testcross mapping with 63 progenies, resulting in two parental maps of 20 linkage groups containing 1522 and 1016 SNPs and a nearly 1:1 ratio of coupling to repulsion phase linkages, again suggesting disomic inheritance. Genomic contigs from tef, another Chloridoid grass, were used as a bridge to associate genetic markers in prairie cordgrass with unique positions in the sorghum genome, providing a glimpse into synteny between Chloridoids and other grasses. GBS enabled rapid generation of a linkage map that will aid in future breeding and genomics efforts in prairie cordgrass.

Patrick J Brown - One of the best experts on this subject based on the ideXlab platform.

  • Linkage mapping in prairie cordgrass (Spartina pectinata Link) using genotyping-by-sequencing
    Molecular Breeding, 2016
    Co-Authors: Joseph Crawford, Thomas Voigt, Patrick J Brown, D.k. Lee
    Abstract:

    Prairie cordgrass (Spartina pectinata Link) is a polyploid Chloridoid grass with tetraploid (2n = 40), hexaploid (2n = 60), and octoploid (2n = 80) cytotypes and is a potential Dedicated Energy Crop with promising yields in marginal environments. Efforts to breed prairie cordgrass are currently hampered by the lack of a linkage map, the lack of a Chloridoid reference genome, and the lack of information on inheritance patterns (disomic versus polysomic). Genotyping-by-sequencing (GBS) was applied to a population of 85 progenies from a reciprocal cross of heterozygous tetraploid parents. A total of 26,418 SNPs were discovered, with a distribution of allele frequencies suggesting disomic inheritance. A filtered set of 3034 single-dose, high-coverage SNPs was used for pseudo-testcross mapping with 63 progenies, resulting in two parental maps of 20 linkage groups containing 1522 and 1016 SNPs and a nearly 1:1 ratio of coupling to repulsion phase linkages, again suggesting disomic inheritance. Genomic contigs from tef, another Chloridoid grass, were used as a bridge to associate genetic markers in prairie cordgrass with unique positions in the sorghum genome, providing a glimpse into synteny between Chloridoids and other grasses. GBS enabled rapid generation of a linkage map that will aid in future breeding and genomics efforts in prairie cordgrass.

Stephen J Ramsden - One of the best experts on this subject based on the ideXlab platform.

  • optimal combinable and Dedicated Energy Crop scenarios for marginal land
    Applied Energy, 2015
    Co-Authors: N J Glithero, Paul Wilson, Stephen J Ramsden
    Abstract:

    Modern biomass Energy sources account for less than 2% of primary world Energy supplies while major economies have enabled legislation that aims to increase bioEnergy production. In response to controversies over first generation biofuel, it has been argued that ‘marginal land’ should be used to produce Dedicated Energy Crops (DECs). However, defining marginality of agricultural land is complex, and moreover, DECs would have to out-compete current agricultural production in these areas. Utilising a bio-economic farm-level modelling approach we investigate the impact that Crop yield penalties resulting from production in marginal land contexts have on financially optimal farm-level Crop plans. Where farm businesses choose to de-invest in own farm machinery, yield reductions of less than 10% for winter wheat result in a financially optimal switch to 100% miscanthus production. By contrast, in the presence of own farm machinery, winter wheat yield penalties of 30% are required before 100% miscanthus production is financially optimal. However, under circumstances where DECs also suffer yield penalties on marginal land, the financially optimal Crop mix includes combinable Crops. The results demonstrate that the optimal Crop mix is dependent upon the relative combinable and DEC yields, together with farm-level decisions towards machinery ownership. The focus of much policy attention relating to production of DECs on ‘marginal land’ is therefore argued to be incomplete. Policies which encourage farmers to de-invest in own farm machinery, or incentivise the purchase of specific DEC machinery, may play an important role in assisting the development of DEC production.

  • prospects for Dedicated Energy Crop production and attitudes towards agricultural straw use the case of livestock farmers
    Energy Policy, 2014
    Co-Authors: Paul Wilson, N J Glithero, Stephen J Ramsden
    Abstract:

    Second generation biofuels utilising agricultural by-products (e.g. straw), or Dedicated Energy Crops (DECs) produced on ‘marginal’ land, have been called for. A structured telephone survey of 263 livestock farmers, predominantly located in the west or ‘marginal’ upland areas of England captured data on attitudes towards straw use and DECs. Combined with farm physical and business data, the survey results show that 7.2% and 6.3% of farmers would respectively consider growing SRC and miscanthus, producing respective maximum potential English Crop areas of 54,603 ha and 43,859 ha. If higher market prices for straw occurred, most livestock farmers would continue to buy straw. Reasons for not being willing to consider growing DECs include concerns over land quality, committing land for a long time period, lack of appropriate machinery, profitability, and time to financial return; a range of moral, land quality, production conflict and lack of Crop knowledge factors were also cited. Results demonstrate limited potential for the production of DECs on livestock farms in England. Changes in policy support to address farmer concerns with respect to DECs will be required to incentivise farmers to increase Energy Crop production. Policy support for DEC production must be cognisant of farm-level economic, tenancy and personal objectives.