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Record W4318481165 · doi:10.3390/agronomy13020370

Characterization of Lupin Cultivars Based on Phenotypical, Molecular and Metabolomic Analyses

2023· article· en· W4318481165 on OpenAlex
Athanasios Mavromatis, Irini Nianiou‐Obeidat, Alexios N. Polidoros, Z. M. Parissi, Eleni Tani, Maria Irakli, Konstantinos A. Aliferis, Ioannis Zafeiriou, Photini V. Mylona, Efi Sarri, Evgenia-Anna Papadopoulou, Rafail Tagiakas, Leonidas Kougiteas, Stavroula Kostoula, Εleni M. Abraham

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAgronomy · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBotanical Research and Chemistry
Canadian institutionsMcGill University
FundersEuropean Regional Development FundEuropean Commission
KeywordsCultivarBiologyNeutral Detergent FiberGenetic diversityProanthocyanidinLupinusHorticultureLigninAgronomyBotanyPolyphenolDry matterBiochemistry

Abstract

fetched live from OpenAlex

Lupins are an important source of protein that could replace soybeans in the diet of ruminants and monogastrics, without reducing their performance. Lupinus albus (L. albus) is the main species of the genus Lupinus that is cultivated in the Mediterranean region. The aim of the present research was to study commercial cultivars and advanced breeding lines of L. albus by using phenotypical, molecular and biochemical data, in order to be used in breeding projects. Seven commercial cultivars (Estoril, Fas Sweet, Multitalia, Magnus, Orus, Ulysse Sulimo and Figaro) and three advanced lines from the company AGROLAND (LKML, LKAP and LKAU) were used. Eleven morphological traits were described using UPOV Guidelines (International Union for the Protection of New Varieties of Plants). Additionally, agronomical traits and yield components were measured. Regarding the nutritional value, grain samples were analyzed for N and the crude protein (CP), neutral detergent fiber (NDF), acid detergent fiber (ADF), acid detergent lignin (ADL), total alkaloids (TA), total phenolic content (TP), total tannins content (TT) and condensed tannins (CT) were calculated. Genetic diversity among genetic materials was assessed by SSRs molecular markers. The metabolomic analysis for four selected cultivars (Figaro, Magnus, Multitalia and Sulimo) was performed on the seeds with the GC/EI/MS technique. According to the results, the advanced lines were most productive but also with higher content of total alkaloids than the commercial cultivars. The only exception was the cultivar Multitalia that was characterized by a high content of alkaloids. Based on the SSRs, the cultivars Magnus, Orus and Estoril were grouped together while the breeding lines LKAP, LICML and LKAU were grouped with Multitalia. Regarding the metabolomic profile, the cultivars Multitalia and Magnus were together, while Sulimo was grouped with Figaro. Finally, the content of several beneficial metabolites for human and animal nutrition was significantly increased in Sulimo and Figaro, compared to Magnus and Multitalia. Both commercial varieties and lines have characteristics that can be exploited and used in breeding programs.

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 categoriesnone
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 score0.271
Threshold uncertainty score0.223

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.037
GPT teacher head0.285
Teacher spread0.248 · 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