Search claims · PlantClaims

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Model E-0 was the optimal genetic model for tobacco powdery mildew resistance.

Taxon: TobaccoNicotiana tabacumt0
Outcome: optimal modele0
Comparator: model E-0e0

Not reportedValue

Verbatim

e0
“model E-0 was the optimal model”
✓ located verbatim in the source · abstract, characters 518–549

t0
“Tobacco”
✓ located verbatim in the source · title, characters 68–75

Title

Research into Genetic Problems of Powdery Mildew Resistance Gene in Tobacco

Yan Chen; Jiazhong Liu; Hongmei Li; et al. Proceedings of the6th International Conference on Mechatronics, Materials, Biotechnology and Environment (ICMMBE 2016) 2016. doi:10.2991/icmmbe-16.2016.6

Other claims from this paper (7)

Observation Tobacco powdery mildew resistance was controlled by recessive genes.
Observation Resistance to tobacco powdery mildew was attributed to two gene pairs comprising an additive dominant epistatic major gene and a polygene.
Observation B1 generation major gene heritability was 88.6%.
Observation B1 generation polygene heritability was 0.0%.
Observation F2 generation major gene heritability was 84.5%.
Observation F2 generation polygene heritability was 0.0%.
Recommendation The authors recommend selecting disease resistant material while considering gene interactions and environment.

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

A mixed model was selected as optimal based on known grape berry color loci.

Taxon: grapee0
Outcome: optimal statistical modele1
Comparator: known control loci of grape berry color traitse1

Verbatim

e0
“grape berry color traits”
✓ located verbatim in the source · abstract, characters 570–594

e1
“Genome-wide efficient mixed-model association was selected as the optimal statistical model based on the results of known control loci of grape berry color traits”
✓ located verbatim in the source · abstract, characters 432–594

Title

Genome-wide association study of berry-related traits in grape [Vitis vinifera L.] based on genotyping-by-sequencing markers

Da-Long Guo; Hui-Li Zhao; Qiong Li; et al. Horticulture Research 2018. doi:10.1038/s41438-018-0089-z

Other claims from this paper (11)

Observation Many associated SNPs agreed with previous biparental QTL analyses.
Association The grape skin color locus was associated with mybA on chromosome 2.
Association Two association signals for berry development periods were on chromosome 16.
Observation Most candidate genes in the berry development interval were receptor-like protein kinases.
Association Berry weight had significant association loci on chromosome 18, previously known.
Association Berry weight had newly mapped significant association loci on chromosome 19.
Association Berry weight had newly mapped significant association loci on chromosome 17.
Association Berry flesh texture was newly located on chromosome 16.
Association Candidate genes for berry flesh texture were related to calcium.
Association Berry flavor was mapped to chromosome 5.
Recommendation The authors consider markers associated with berry traits potentially useful for grape molecular breeding.

Method / resourceobservedoriginal resultpositivesimulated

Claim · model-written summary

A model including distance from the pollen source and field border had optimal fit and predictive ability for maize pollen-mediated gene flow.

Taxon: maizeZea mayst0
Outcome: optimal fitting and predictive abilitiese0
Qualifier: distance from the source and the FBe0

Not reportedComparator

Verbatim

e0
“a model incorporating both the distance from the source and the FB can have optimal fitting and predictive abilities”
✓ located verbatim in the source · abstract, characters 1308–1424

t0
“maize”
✓ located verbatim in the source · title, characters 96–101

Title

Bootstrap simulations for evaluating the model estimation of the extent of cross-pollination in maize at the field-scale level

Bo-Jein Kuo; Yun-Syuan Jhong; Tien-Joung Yiu; et al. PLoS ONE 2021. doi:10.1371/journal.pone.0249700

Observationobservedoriginal resultmeasured

Claim · model-written summary

The optimal inheritance model for broccoli floret sulforaphane content was three major genes plus polygenes.

Taxon: broccoliBrassica oleracea var. italicae1
Organ / stage: floretse1
Outcome: three major genes plus polygenese0

Verbatim

e0
“The optimal model was three major genes plus polygenes.”
✓ located verbatim in the source · abstract, characters 478–533

e1
“sulforaphane content in broccoli(Brassica oleracea L.var.italica Planch.)florets”
✓ located verbatim in the source · abstract, characters 141–221

Title

Determination of Sulforaphane by High Performance Liquid Chromatography and Genetic Analysis of DH Population in Broccoli Florets

Zhansheng Li; Liu Yu-mei; Zhiyuan Fang; et al. Acta Horticulturae Sinica 2012

Other claims from this paper (4)

Observationobservedoriginal resultmeasured

Claim · model-written summary

The optimal inheritance model for adult-plant stripe rust resistance in N07168 is D-3, one pair of completely dominant major genes plus additive-dominant polygenes.

Taxon: wheatTriticum aestivumt0
Material: N07168e1
Organ / stage: adult plant stagee1
Interactor: stripe ruste1pathogen
Outcome: optimal inheritance model for stripe rust resistancee1

Verbatim

t0
“Adult-Plant Stripe Rust Resistance in New Wheat Germplasm N07168”
✓ located verbatim in the source · title, characters 53–117

e1
“the optimal inheritance model for stripe rust resistance at the adult plant stage in new wheat germplasm N07168 was D-3 model”
✓ located verbatim in the source · abstract, characters 552–677

Title

Inheritance Analysis of “Major Genes + Polygenes” of Adult-Plant Stripe Rust Resistance in New Wheat Germplasm N07168

Zhang Yanfeng; Wang Yongfu; Wang Guanghao; et al. International Journal of Agriculture and Biology 2025. doi:10.17957/ijab/15.1220

Other claims from this paper (8)

Observation Heritability of major resistance genes was 74.88% in the F2 population.
Observation Heritability of major resistance genes was 73.05% in the F2:3 population.
Observation Polygene heritability was 3.92% in the F2 population.
Observation Polygene heritability was 3.49% in the F2:3 population.
Observation Environmental variance was 21.2% of phenotypic variance in the F2 population.
Observation Environmental variance was 23.06% of phenotypic variance in the F2:3 population.
Association Environmental effects influence the resistance expression of the major gene.
Observation The completely dominant major gene for stripe rust resistance is located on chromosome 1B.

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

The optimal prediction model for Arabidopsis thaliana traits depends on training data availability and trait genetic architecture.

Taxon: Arabidopsis thalianaArabidopsis thalianae3
Outcome: optimal modele1
Qualifier: dependent on availability of training data and genetic architecture of the traite1

Not reportedValue

Verbatim

e1
“with the optimal model dependent on availability of training data and genetic architecture of the trait in question”
✓ located verbatim in the source · abstract, characters 637–752

e3
“We present a comparison of machine learning methods for the prediction of four quantitative traits in Arabidopsis thaliana”
✓ located verbatim in the source · abstract, characters 0–122

Title

Comparison of machine learning methods for genomic prediction of selected Arabidopsis thaliana traits

Ciaran Michael Kelly; Russell Lewis McLaughlin PLoS ONE 2024. doi:10.1371/journal.pone.0308962

Other claims from this paper (3)

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The optimal model and markers predicted sex for 505 progenies with over 90% accuracy.

Taxon: Populus deltoidesPopulus deltoidest0
Outcome: predictions being accuratee0
Value: over 90%e0
Qualifier: 505 progenies from 27 full-sib familiese0

Verbatim

e0
“Using the optimal model and markers, we predicted the sex of 505 progenies from 27 full-sib families, with over 90% of the predictions being accurate.”
✓ located verbatim in the source · abstract, characters 1156–1306

t0
“Populus deltoides”
✓ located verbatim in the source · title, characters 85–102

Title

GWAS‐assisted genomic selection for achieving high‐precision early sex prediction in Populus deltoides

Xinglu Zhou; Min Zhang; Lei Zhang; et al. The Plant Genome 2026. doi:10.1002/tpg2.70175

Other claims from this paper (5)

Observation GWAS identified 801 sex associated loci.
Observation The sex determination region was localized at the telomeric end of chromosome 19.
Method / resource Prediction accuracy differed significantly among models and ranged from 0.19 to 0.79.
Method / resource Gradient boosting decision tree had the highest accuracy and stability.
Method / resource GWAS selected SNPs significantly improved prediction accuracy over random markers, reaching 0.999 corrected accuracy.

Method / resourceobservedoriginal resultpositivesimulated

Claim · model-written summary

Analytical solutions enabled fast calculation of optimal test-resource allocation and superseded mixed-model matrix inversions.

Taxon: maizeZea mayst0
Outcome: fast calculations of the optimum allocation of test resourcese0
Comparator: matrix inversionse0

Verbatim

e0
“Analytical solutions to enable fast calculations of the optimum allocation of test resources were developed. This analytical approach superseded matrix inversions required for the solution of the mixed model equations”
✓ located verbatim in the source · abstract, characters 3301–3518

t0
“hybrid maize”
✓ located verbatim in the source · title, characters 20–32

Title

Optimum schemes for hybrid maize breeding with doubled haploids

Thilo Wegenast University writing server of the University of Hohenheim (Universität Hohenheim) 2012

Other claims from this paper (16)

Observationobservedoriginal resultsimulated

Claim · model-written summary

Dihybrid crosses have a probability of an optimal genotype of 25% in the eighth generation.

Taxon: diploid plante0
Treatment: dihybrid crossese3
Outcome: probability of an optimal genotypee3
Value: 25%e3

Verbatim

e0
“In this research, the crosses of diploid plant apply the model”
✓ located verbatim in the source · abstract, characters 111–173

e3
“dihybrid crosses have a probability of an optimal genotype of 25% in the eighth generation”
✓ located verbatim in the source · abstract, characters 1157–1247

Title

THE APPLICATION OF DISCRETE HIDDEN MARKOV MODEL ON CROSSES OF DIPLOID PLANT

Nahrul Hayati; Berlian Setiawaty; I Gusti Putu Purnaba BAREKENG JURNAL ILMU MATEMATIKA DAN TERAPAN 2023. doi:10.30598/barekengvol17iss3pp1449-1462

Other claims from this paper (6)

Observationobservedoriginal resultsimulated

Claim · model-written summary

Monohybrid crosses have a probability of an optimal genotype of 50% in the seventh generation.

Taxon: diploid plante0
Treatment: monohybrid crossese2
Outcome: probability of an optimal genotypee2
Value: 50%e2
Qualifier: in seventh generatione2

Verbatim

e0
“In this research, the crosses of diploid plant apply the model”
✓ located verbatim in the source · abstract, characters 111–173

e2
“in seventh generation, monohybrid crosses only have the probability of an optimal genotype of 50%”
✓ located verbatim in the source · abstract, characters 1058–1155

Title

THE APPLICATION OF DISCRETE HIDDEN MARKOV MODEL ON CROSSES OF DIPLOID PLANT

Nahrul Hayati; Berlian Setiawaty; I Gusti Putu Purnaba BAREKENG JURNAL ILMU MATEMATIKA DAN TERAPAN 2023. doi:10.30598/barekengvol17iss3pp1449-1462

Other claims from this paper (6)

“optimal model”

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