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Record W2091886250 · doi:10.2135/cropsci2005.07.0225

Variation in Nutritional Value of Sorghum Hybrids with Contrasting Seed Weight Characteristics and Comparisons with Maize in Broiler Chicks

2006· article· en· W2091886250 on OpenAlexaboutno aff
Travis D. Kriegshauser, Mitchell R. Tuinstra, Joe D Hancock

Bibliographic record

VenueCrop Science · 2006
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBioenergy crop production and management
Canadian institutionsnot available
Fundersnot available
KeywordsSorghumHybridBiologyAgronomyBroilerSorghum bicolorSweet sorghumPoaceaeAnimal science

Abstract

fetched live from OpenAlex

Sorghum [ Sorghum bicolor (L.) Moench] hybrids with high seed weight often have higher protein and fat contents. Experiments were conducted to compare the feeding value of grain sorghum hybrids contrasting in seed weight and composition with conventional hybrid maize ( Zea mays L.). Feeding assays were conducted using broiler chicks to determine the metabolizable energy (ME) content of the various cereal grains. Eight sorghum hybrids were produced from crosses of two seed parents with two normal‐seeded and two large‐seeded male parent lines. The seed parent lines were ASA3042 and AWheatland. The normal‐seeded male parents were RTx2737 and RTx435, and the large‐seeded parents were KS115 and Eastin‐1. The eight sorghum hybrids and a hybrid maize check were produced under dryland conditions at Manhattan and Ottawa, KS, in 2000 and at Manhattan and Belleville, KS, in 2001. Feeding trials were conducted in the spring of 2001 and 2002. Each trial consisted of a reference diet and the hybrid maize and sorghum entries with six pens per treatment. A combined analysis across environments indicated that hybrid maize had an ME value of 3.51 Mcal kg −1 and the large‐seeded male parent, KS115, produced hybrids with ME values that averaged 3.48 Mcal kg −1 Normal‐seeded hybrids averaged 3.36 Mcal kg −1 These studies indicate that use of KS115 as a means of increasing seed weight and fat content of grain sorghum may also contribute to increased nutritional value of the grain.

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.

How this classification was reachedexpand

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.445
Threshold uncertainty score0.150

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.007
GPT teacher head0.184
Teacher spread0.177 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations40
Published2006
Admission routes1
Has abstractyes

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