MétaCan
Menu
Back to cohort
Record W2520338494 · doi:10.25675/3.021553

Evaluating genetic mechanisms and performance characteristics of alternative oilseed crops for on-farm biofuel production in Colorado

2015· dissertation· en· W2520338494 on OpenAlex
Brian Campbell

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDigital Collections of Colorado (Colorado State University) · 2015
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNitrogen and Sulfur Effects on Brassica
Canadian institutionsnot available
Fundersnot available
KeywordsBiofuelProduction (economics)AgroforestryAgricultural engineeringEnvironmental scienceAgronomyEngineeringBiotechnologyWaste managementBiologyEconomics

Abstract

fetched live from OpenAlex

Dryland winter wheat (Triticum aestivum) cropping systems dominate most of the agricultural landscape in Colorado’s semi-arid eastern plains. Since this area’s climate is characterized by frequent heat and drought, it is important to maximize water use efficiency to make agricultural lands as productive as possible. Adding a spring crop in rotation with winter wheat intensifies the rotation, increasing water use efficiency by up to 37%. Recent research has explored further intensifying this rotation by adding an oilseed crop into a wheat – spring crop – fallow rotation during the fallow period. Ideally, the oilseed crop acts as a cover crop for part of the season and leaves enough time at the end of the season to regenerate water in the soil profile before planting wheat in the fall. The oil from this crop can be used to produce on-farm biofuels, offsetting petroleum diesel costs without displacing high-value food crops. Additionally, the meal from this crop acts as a value-added byproduct by providing feed for livestock. Since traditional oilseeds such as soybean (Glycine max) and rapeseed (Brassica napus) do not perform well in Colorado, several alternative oilseeds have been tested to assess whether they can fill this niche. Camelina (Camelina sativa) has shown great potential, with high oil content and inherent resistance to many biotic and abiotic stressors. Other potential oilseeds include Brassica juncea and Brassica carinata, but both of these species have exhibited longer life cycles and lower yields than camelina. A major challenge to camelina production in Colorado is a susceptibility to heat stress during reproductive periods. Both short periods of intense heat stress and longer periods of mild heat stress can cause floral and seed abortion, resulting in reduced yield. In the current study, a quantitative trait locus (QTL) approach is used to identify heat and drought tolerance mechanisms and yield components, explore the extent of pleiotropy, epistasis, and linkage, and identify promising lines for study or production. Genetic resources for camelina are becoming more readily available and a newly developed genetic map with improved marker density was used for QTL discovery. Replicated field trials were performed during the 2014 growing season in Fort Collins and Greeley, Colorado, under differential irrigation treatments at each site to collect phenotypic data on a variety of traits. Sixteen new QTL were discovered from this data, along with nine QTL using data from Colorado trials of the same population in 2009 and 2010 performed by Enjalbert (2011). Seven QTL were discovered for yield, however, no QTL were found in more than two environments, indicating a lack of stable QTL for this trait. This was in contrast to results from Enjalbert (2011) where stable QTL for yield across environments were detected using the original, mainly AFLP generated, genetic map by Gehringer et al. (2006). This underscores the high amount of variation that can be caused by environment. QTL for other traits, such as plant height and days to flowering, were detected that were more robust, however, no QTL were detected with either data set that spanned more than three environments. Two loci were identified that affected multiple traits, supplying evidence of either pleiotropy or close linkage of genes. Several RIL performed well in multiple environments, indicating potential for production in Colorado, however, these lines were not in common with previous studies, so further trials will be needed to confirm consistently stable yields. In addition to the camelina QTL study, a two-year variety trial of Brassica carinata was performed in Fort Collins, CO during the 2013 and 2014 growing seasons under limited and full irrigation. Collaboration with the private Canadian oilseed company Agrisoma Biosciences spurred interest in reevaluating the potential of this alternative oilseed in Colorado cropping systems. Agrisoma Biosciences developed early flowering and early maturing germplasm that performs well in the Canadian prairie and is interested in testing their germplasm in new regions with potential for production. The company provided six lines for the trial, five experimental lines and one commercial check cultivar. Mean flowering time was over 13 days longer than previously tested African accessions that had been deemed too late flowering to be competitive in Colorado’s climate. Mean yields were low as well, at 669 kg ha⁻¹. The commercial check cultivar, A100, outperformed all of the experimental lines, with a mean yield of 1081 kg ha⁻¹ across environments. With a wide margin between the other lines and A100, this commercial cultivar was clearly more successful than any of the experimental lines. However, yields of this one cultivar were not sufficiently impressive to recommend on-farm testing of the crop.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.154
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.258
Teacher spread0.242 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it