Search claims · PlantClaims

Observationobservedoriginal resultmeasured

Claim · model-written summary

Root weight variability exceeded total weight variability, which exceeded shoot weight variability.

Taxon: carrotDaucus carotat0
Outcome: size variabilitye0
Direction: root weight>total weight>shoot weighte0

Verbatim

e0
“The magnitude of size variability was ranked in the order: root weight>total weight>shoot weight.”
✓ located verbatim in the source · abstract, characters 1477–1574

t0
“Carrot (Daucus carota)”
✓ located verbatim in the source · title, characters 42–64

Title

Dynamics of Competition in Populations of Carrot (Daucus carota)

B LI Annals of Botany 1996. doi:10.1006/anbo.1996.0114

Other claims from this paper (10)

Association Shoot yield rose asymptotically with density.
Association Root and total yield had a parabolic relationship with density.
Method / resource The fitted yield density model best described yield per area for a time and density series.
Association The fitted parameter w m rose over time.
Association The fitted parameter a rose over time.
Association Nutrient availability affected w m but not a.
Association Density and time after sowing influenced individual size variability.
Association CV declined linearly with log mean plant weight, with slope about -0.2.
Mechanism Allometric growth partly explained differences in variability among yield components.
Association Nutrient availability did not influence size variability.

Observationobservedoriginal resultmeasured

Claim · model-written summary

Pumpkin genotypes showed a large variability in total carotenoid contents.

Taxon: C. moschatat0
Outcome: variability in the contents of total carotenoidse4

Verbatim

e4
“showed a large variability in the contents of total carotenoids”
✓ located verbatim in the source · abstract, characters 767–830

t0
“Variability of Total Carotenoids in C. moschata Genotypes”
✓ located verbatim in the source · title, characters 0–57

Title

Variability of Total Carotenoids in C. moschata Genotypes

CARVALHO, L. M. J. DE; CARVALHO, J. L. V. de; BORGES, R. M. E.; et al. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) 2015. doi:10.3303/cet1544042

Other claims from this paper (3)

Observationobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

Genotypes showed significant total yield variability.

Outcome: total yield variabilitye0

Not reportedTaxon

Verbatim

e0
“Significant total yield variability of the genotypes”
✓ located verbatim in the source · abstract, characters 888–940

Title

Identification of Spring Barley Breeding Lines With Superior Yield Performance and Stability

Volodymyr Hudzenko; Tetiana Polishchuk; Oleksandr Demydov; et al. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 2020. doi:10.11118/actaun202068060947

Other claims from this paper (3)

Association Genotypes showed crossover genotype by environment interaction.
Method / resource Spatial and temporal gradients supported efficient evaluation and differentiation of genotypes for yield and stability.
Method / resource AMMI and GGE models identified four breeding lines combining superior yield with high stability.

Observationobservedoriginal resultmeasured

Claim · model-written summary

Three principal component axes explained the total variability among coconut germplasms.

Taxon: coconutt0
Outcome: total variabilitye5
Value: three principal component axese5

Verbatim

t0
“Genetic variability and multivariate analysis in tall coconut germplasms”
✓ located verbatim in the source · title, characters 0–72

e5
“A total of three principal component axes explained the total variability”
✓ located verbatim in the source · abstract, characters 1075–1148

Title

Genetic variability and multivariate analysis in tall coconut germplasms

A. Subramanian; R. Nirmal Raj; Maheswarappa HP; et al. Journal of Pharmacognosy and Phytochemistry 2019

Other claims from this paper (4)

Observationobservedoriginal resultmeasured

Claim · model-written summary

Inter-variety variability accounted for 87% of total variability.

Taxon: CowpeaVigna unguiculatat0
Outcome: inter varietal variabilitye0
Value: 87%e0

Verbatim

e0
“Eighty-seven percent (87%) of the total variability was attributed to inter varietal variability”
✓ located verbatim in the source · abstract, characters 1347–1443

t0
“Cowpea”
✓ located verbatim in the source · title, characters 50–56

Title

Population Structure And Diversity Among Improved Cowpea Varieties From Senegal Based On Microsatellite Markers

2 Laboratoire Campus de Biotechnologies Végétales, Département de Biologie Végétale, Faculté des Sciences et Techniques, Université Cheikh Anta Diop (UCAD), Dakar Fann, Sénégal; 3 Université de Fada N’Gourma (U-FDG), Fada N’Gourma, Burkina Faso Global Journal of Molecular Biology 2021. doi:10.28933/gjmb-2020-12-2305

Other claims from this paper (11)

Observation The markers detected 39 alleles overall.
Observation SSR6288, SSR6311 and SSR6827 had two alleles per locus.
Observation SSR6807 had six alleles per locus.
Observation Mougne and Kelle had a polymorphism rate of 8.33%.
Observation Mouride had a polymorphism rate of 58.33%.
Observation Average polymorphism rate was 31.06%.
Observation Within-variety diversity was very weak, at 0.012 to 0.091.
Observation Melakh and Pakau were genetically closest.
Observation Bambey 21 and Sam were genetically most distant.
Observation The dendrogram indicated higher genetic stability in Thieye, Leona, Kelle, Sam, Mougne and Yacine than in the other named varieties.
Observation Intra-variety variation accounted for 17% of total variability.

Observationobservedoriginal resultpositivemeasured

Claim · model-written summary

The first three principal components explained 51.5% of total data variability.

Outcome: total variabilitye1
Value: 51.5 %e1

Not reportedTaxon

Verbatim

e1
“These components explained 51.5 % of the total variability of the data”
✓ located verbatim in the source · abstract, characters 673–743

Title

SPATIAL VARIABILITY IN LEAF ANALYSIS AND PRODUCTIVITY OF FERTIRRIGATED AÇAÍ

Felipe O. Ribeiro; Antonio R. Fernandes; Gilson S. B. de Matos; et al. Engenharia Agrícola 2020. doi:10.1590/1809-4430-eng.agric.v40n6p800-808/2020

Other claims from this paper (5)

Observation Mean macronutrient contents were considered adequate in adult açaí.
Association PC1 was most strongly correlated with Ca, Mg, K and P.
Observation Three management zones were identified.
Association The highest productivity zone had the best Ca, Mg, S, B and Fe leaf contents.
Association Ca and Mg nutrition were more related to spatial variability and açaí fruit productivity.

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

The first two components explained 81% of total grape phenotypic variability.

Taxon: grapest0
Outcome: total variabilitye0
Value: 81%e0

Not reportedDirection

Verbatim

t0
“grapes”
✓ located verbatim in the source · title, characters 25–31

e0
“The first two components explained 81% of the total variability”
✓ located verbatim in the source · abstract, characters 1657–1720

Title

Phenotypic divergence of grapes using productive cycle

Mara Fernandes Moura; Lenon Romano Modesto; Carlos Tadeu dos Santos Dias; et al. Australian Journal of Crop Science 2018. doi:10.21475/ajcs.18.12.05.pne880

Other claims from this paper (7)

Association Sprouting and flowering phases were related in grapes.
Association Starting maturation and maturation phases were related in grapes.
Method / resource Starting maturation and maturation were the best variables for studying grape phenotype divergence.
Method / resource Combined UPGMA and PCA distinguished three grape phenotype groups.
Observation The grape phenotypes were divided into 25 processes, 75 median and 10 late varieties by productive cycle.
Method / resource Multivariate techniques were effective for evaluating phenotypic divergence in vines.
Recommendation The authors recommend multivariate analysis to guide future vine improvement programs.

Observationobservedoriginal resultmeasured

Claim · model-written summary

The three PCs explained 87.89% of total variability.

Taxon: GarciniaGarciniat0
Outcome: total variabilitye0
Value: 87.89%e0

Verbatim

e0
“collectively explaining 87.89% of total variability”
✓ located verbatim in the source · abstract, characters 892–943

t0
“Garcinia species”
✓ located verbatim in the source · title, characters 31–47

Title

Phenotypic characterization of Garcinia species:Implications for conservation and breeding

Prakash Chandra Tripathi; C Kanupriya; Pritee Singh; et al. Journal of Horticultural Sciences 2024. doi:10.24154/jhs.v19i2.2067

Other claims from this paper (17)

Observation Garcinia accessions showed significant morphological variability.
Observation Leaf length ranged from 5.80 cm in G. indica to 27.65 cm in G. xanthochymus.
Observation Fruit weight ranged from 15.10 g in G. indica to 172.00 g in G. xanthochymus.
Observation Rind TSS ranged from 7.8 to 26.6 °Brix.
Observation Pulp TSS ranged from 1.8 to 26.0 °Brix.
Association Fruit length was negatively correlated with TSS.
Observation PCA identified tree spread as a discriminator explaining 41.18% on PC1.
Observation PCA identified leaf traits as a discriminator explaining 33.92% on PC2.
Observation PCA identified tree height and girth as discriminators explaining 12.79% on PC3.
Observation G. indica and G. mundro clustered together.
Observation G. xanthochymus formed a distinct cluster.
Observation G. xanthochymus R2P4 had large fruit size of 7.72 cm.
Observation G. xanthochymus R2P4 had fruit weight of 241.76 g.
Observation G. xanthochymus R2P4 had high TSS of 15.26 °Brix.
Observation G. indica KR4P9 had high TSS of 20.11°Brix.
Observation G. indica KR4P9 had low acidity of 0.29%.
Recommendation The authors highlight elite genotype selection and phenotypic diversity conservation.

Associationobservedoriginal resultmeasured

Claim · model-written summary

Genotypic variation contributed markedly to total variability in these traits.

Taxon: roset0
Material: genotypic variatione0
Outcome: total variabilitye0

Not reportedDirection

Verbatim

e0
“genotypic variation contributed markedly towards total variability for the above traits”
✓ located verbatim in the source · abstract, characters 1021–1108

t0
“rose”
✓ located verbatim in the source · title, characters 46–50

Title

Evaluation of genetic variability in fragrant rose (Rosa × hybrida) cultivars under open field cultivations

Ganesh B Kadam; Priya Desai; D V S. Raju; et al. Current Horticulture 2023. doi:10.5958/2455-7560.2023.00023.7

Other claims from this paper (10)

Observation Night Time, Christian Dior and Pusa Abhishek flowered early.
Observation Local Collection 3, Local Collection 4, Kashmir Velvet and Edouard had longer flowering duration.
Observation Christian Dior and Bonne Nuit had larger flowers.
Observation Pusa Bahadur had long flower stalks.
Observation Four cultivars had more flowers per plant.
Observation Pusa Bahadur, Night Time and Christian Dior had higher flower weight.
Observation Growth and flower production traits showed high genotypic and phenotypic coefficients of variation.
Observation Several growth and floral traits had high heritability and high expected genetic advance.
Recommendation The authors recommend phenotypic selection to improve flower yield.
Recommendation Trait-specific genotypes could serve as donor parents for open-field rose breeding.

Observationobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

Total anthocyanins concentration showed significant variability among wheat genotypes.

Taxon: WheatTriticum aestivumt0
Outcome: variability in total anthocyanins concentratione5

Verbatim

t0
“Accumulation of Total Anthocyanins in Wheat Grain”
✓ located verbatim in the source · title, characters 0–49

e5
“Significant variability in total anthocyanins concentration indicated that breeding for their increasing is possible”
✓ located verbatim in the source · abstract, characters 1367–1483

Title

Accumulation of Total Anthocyanins in Wheat Grain

Alžbeta Žofajová; Ivana Pšenáková; Michaela Havrlentová; et al. Agriculture (Pol nohospodárstvo) 2012. doi:10.2478/v10207-012-0006-7

Other claims from this paper (6)

“total variability”

Claim types

Direction of the findings

Over time

Claim type

Research area

Polarity

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