Search claims · PlantClaims

Mechanismauthor interpretationoriginal resultmeasured

Claim · model-written summary

Fragmented apex culture disturbs apical tissue integrity and separates chimeral component genotypes.

Taxon: grapevineVitise0
Organ / stage: apical tissuee0
Treatment: fragmented shoot apex culturee0
Outcome: separation of component genotypese0

Verbatim

e0
“fragmented shoot apex culture of grapevine periclinal chimeras disturbs the integrity of apical tissue allowing separation of component genotypes”
✓ located verbatim in the source · abstract, characters 741–886

Title

Studies on the Fragmented Shoot Apex of Grapevine

K. G. M. SKENE; M. BARLASS Journal of Experimental Botany 1983. doi:10.1093/jxb/34.10.1271

Other claims from this paper (7)

Observationobservedoriginal resultmeasured

Claim · model-written summary

The main component analysis separated the cowpea genotypes into two groups.

Taxon: cowpeaVigna unguiculatae0
Outcome: separation of genotypes into two groupse4

Verbatim

e0
“Local varieties of cowpea are promising for breeding programs”
✓ located verbatim in the source · abstract, characters 0–61

e4
“The main component of greater explanation illustrated the separation of genotypes into two groups”
✓ located verbatim in the source · abstract, characters 995–1092

Title

Morphological and Agronomic Variability between Seven Local Cowpea Genotypes in Acre, Brazil

Francisca Silvana Silva Nascimento; Vanderley Borges dos Santos; Clemeson Silva de Souza; et al. Journal of Experimental Agriculture International 2022. doi:10.9734/jeai/2022/v44i330807

Other claims from this paper (4)

Observationobservedoriginal resultmeasured

Claim · model-written summary

Principal component analysis on combined RAPD and SSR data gave a good separation of soybean varieties with different maturity ratings.

Taxon: soybeanGlycine maxt0
Outcome: separation of soybean varieties with different maturity ratingse5
Qualifier: based on the combined RAPD and SSR datae5

Verbatim

t0
“Genetic diversity in soybean genotypes”
✓ located verbatim in the source · title, characters 0–38

e5
“A principal component analysis, based on the combined RAPD and SSR data, yielded a good separation of soybean varieties with different maturity ratings”
✓ located verbatim in the source · abstract, characters 669–820

Title

Genetic diversity in soybean genotypes from north‐eastern China and identification of candidate markers associated with maturity rating

W. Li; Y. Han; D. Zhang; et al. Plant Breeding 2008. doi:10.1111/j.1439-0523.2008.01489.x

Other claims from this paper (7)

Observationobservedoriginal resultmeasured

Claim · model-written summary

Principal component analysis of the phenotypic traits clearly separated the 36 Serbian bread wheat landraces, reflecting substantial genetic diversity for the evaluated traits.

Taxon: bread wheatTriticum aestivumt0
Material: landracest0
Outcome: clear separation among the analyzed genotypese0

Verbatim

t0
“Serbian bread wheat landraces”
✓ located verbatim in the source · title, characters 31–60

e0
“Principal Component Analysis revealed a clear separation among the analyzed genotypes, reflecting their substantial genetic diversity with respect to the evaluated traits”
✓ located verbatim in the source · abstract, characters 1308–1478

Title

Phenotypic characterization of Serbian bread wheat landraces for breeding-relevant traits

Trkulja, Dragana; Mikić, Sanja; Glogovac, Svetlana; et al. FiVeR (Institute of Field and Vegetable Crops, Novi Sad, Serbia) 2026

Other claims from this paper (1)

Observation The authors conclude that the landraces are a valuable potential source of novel alleles for enhancing breeding value and developing high-yielding varieties with improved technological quality.

Observationobservedoriginal resultmeasured

Claim · model-written summary

Principal component and cluster analyses clearly separated resistant and susceptible genotype groups.

Taxon: Gossypium hirsutum L.Gossypium hirsutume0
Outcome: clear separation between resistant and susceptible groupse5

Verbatim

e0
“evaluate Fusarium wilt resistance in diverse Gossypium hirsutum L. genotypes with naturally colored fiber”
✓ located verbatim in the source · abstract, characters 260–365

e5
“Principal component and cluster analyses further confirmed the clear separation between resistant and susceptible groups”
✓ located verbatim in the source · abstract, characters 952–1072

Title

Molecular Characterization of Fusarium Wilt Resistance in Naturally Colored and Elite Upland Cotton Germplasm

Abrorjon Y. Kurbonov; Feruza F. Mamedova; Sanjar Sh. Djumayev; et al. Journal of Natural Fibers 2026. doi:10.1080/15440478.2026.2663200

Other claims from this paper (4)

Observationobservedoriginal resultmeasured

Claim · model-written summary

Principal Component Analysis separated the white grape genotypes by flavonols, hydroxycinnamic acid derivatives and flavan-3-ols across grape tissues.

Taxon: Vitis vinifera L.Vitis viniferae0
Material: Albillo Dorado and Montonera del Casare1
Organ / stage: different grape tissuese3
Outcome: separation according to flavonols, hydroxycinnamic acid derivates and flavan-3-olse3
Comparator: cultivar Airéne2

Verbatim

e0
“Vitis vinifera L.”
✓ located verbatim in the source · abstract, characters 271–288

e1
“the recently identified white grape genotypes Albillo Dorado and Montonera del Casar”
✓ located verbatim in the source · abstract, characters 309–393

e2
“compared to cultivar Airén”
✓ located verbatim in the source · abstract, characters 427–453

e3
“provided a good separation according to flavonols, hydroxycinnamic acid derivates and flavan-3-ols from different grape tissues”
✓ located verbatim in the source · abstract, characters 841–968

Title

Genotypic variation in phenolic composition of novel white grape genotypes (Vitis vinifera L.)

José Pérez-Navarro; Pedro Miguel Izquierdo-Cañas; Adela Mena-Morales; et al. Journal of Food Composition and Analysis 2021. doi:10.1016/j.jfca.2021.103987

Other claims from this paper (1)

Observation Several phenolic compounds were quantified in berry parts and grouped into flavonols, flavan-3-ols, hydroxycinnamic acid derivatives and stilbenes.

Observationobservedoriginal resultmeasured

Claim · model-written summary

Commercial wheat cultivars separated from most CIMMYT genotypes in metabolite profiles.

Taxon: wheatTriticum aestivumt0
Material: commercial wheat cultivarse0
Outcome: distinct separatione0
Comparator: CIMMYT wheat genotypese0

Verbatim

e0
“Principal component analysis of the nuclear magnetic resonance (NMR)-derived metabolite profiles revealed distinct separation of the commercial wheat cultivars from the majority of the CIMMYT wheat genotypes”
✓ located verbatim in the source · abstract, characters 496–703

t0
“wheat”
✓ located verbatim in the source · title, characters 135–140

Title

¹ H NMR‐based metabolite profiling as a potential selection tool for breeding passive resistance against Fusarium head blight (FHB) in wheat

ROY A. BROWNE; KEVIN M. BRINDLE Molecular Plant Pathology 2007. doi:10.1111/j.1364-3703.2007.00400.x

Other claims from this paper (7)

Observation Commercial wheat cultivars had higher carbohydrate concentrations.
Method / resource Metabolite-profile predictions of latent period correlated significantly with measured values.
Association Choline, betaine and glutamine occurred in plants with shorter latent periods.
Association Glutamate, alanine and trans-aconitate occurred in plants with shorter latent periods.
Association Sucrose occurred in plants with shorter latent periods.
Association Glucose and unassigned carbohydrate and aromatic resonances related to increased disease resistance.
Method / resource Metabolite profiling showed potential as a marker-assisted selection tool for FHB resistance.

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

PCA clearly separated the two garlic cultivars.

Taxon: garlicAllium sativumt0
Outcome: clear separation between the two cultivarse0
Comparator: two cultivarse0

Verbatim

t0
“garlic cloves”
✓ located verbatim in the source · title, characters 28–41

e0
“Principal component analysis (PCA) highlighted a clear separation between the two cultivars.”
✓ located verbatim in the source · abstract, characters 1003–1095

Title

Low temperature exposure of garlic cloves: Effects on growth and yield of non-bolting and bolting genotypes

Loriana Cardone; Donato Castronuovo; Michele Denora; et al. Italian Journal of Agronomy 2025. doi:10.1016/j.ijagro.2025.100056

Other claims from this paper (8)

Observationobservedoriginal resultmeasured

Claim · model-written summary

Yield, vegetative and quality traits separated across principal components in the tomato population.

Taxon: TomatoSolanum lycopersicumt0
Outcome: clear separation of yield, vegetative, and quality traits across principal componentse0

Verbatim

e0
“The clear separation of yield, vegetative, and quality traits across principal components highlighted the multidimensional variability generated through triple cross breeding and provided a strategic framework for simultaneous selection of high-yielding and quality genotypes.”
✓ located verbatim in the source · abstract, characters 1412–1688

t0
“Selection of Elite Lines in Triple Cross F1 Population of Tomato (Solanum lycopersicum L.) through Principal Component Analysis”
✓ located verbatim in the source · title, characters 0–127

Title

Selection of Elite Lines in Triple Cross F1 Population of Tomato (Solanum lycopersicum L.) through Principal Component Analysis

P. S. K. Reddy; P. S. S. Reddy; S. R. Yerasu; et al. International Journal of Bio-resource and Stress Management 2026. doi:10.23910/1.2026.6997

Other claims from this paper (13)

Association first five principal components explained 86.7% of tomato trait variability.
Association PC1 explained 36.7% of tomato trait variability.
Association PC2 explained 20.6% of tomato trait variability.
Association PC1 and PC2 jointly captured 57.3% of overall tomato variation.
Association Fruit length, diameter and weight had strong positive PC1 loadings.
Association Pericarp thickness had a strong positive PC1 loading.
Association Total soluble solids and locule number had moderate positive PC1 association.
Association Total soluble solids and locule number had strong PC5 loading (0.770).
Observation TCH-55 was superior for yield attributes.
Observation TCH-125 was superior for yield attributes.
Observation TCH-57 was superior for yield attributes.
Observation TCH-13 was promising for quality improvement.
Observation TCH-7 was promising for quality improvement.

“separation of component genotypes”

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