By organism › Green plants › Fabaceae › Phaseolus acutifolius

Observationobservedoriginal resultmeasured

Claim · model-written summary

P. acutifolius had 98 unique metabolites.

Taxon: P. acutifoliusPhaseolus acutifoliuse4
Outcome: unique metabolitese4
Value: 98e4

Verbatim

e0
“Comprehensive profiling of Phaseolus species revealed key biochemical differences relevant to nutrition and crop improvement”
✓ located verbatim in the source · abstract, characters 51–175

e4
“P. lunatus had 592 unique metabolites, while P. acutifolius had 98”
✓ located verbatim in the source · abstract, characters 769–835

Title

Nutritional and Biochemical Diversity in Beans Accessions from Three Phaseolus Species Using Multiomics Characterization

Juliana Chaura; Gabriel Esteban Velez; Diana Carolina Clavijo-Buriticá; et al. ACS Nutrition Science 2026. doi:10.1021/acsnutrsci.5c00061

Other claims from this paper (13)

Observation Genotyping confirmed species-level separation and two gene pools in P. vulgaris, with evidence of introgression.
Observation Proteomic analysis identified over 11100 proteins, with the highest diversity in P. vulgaris.
Observation Metabolomics identified 6717 compounds across Phaseolus species.
Observation Of the metabolomic compounds, 57% were shared across Phaseolus species.
Observation P. lunatus had 592 unique metabolites.
Observation The metabolome is suggested to be conserved and drought-adapted.
Observation All 20 standard and nine essential amino acids were detected.
Observation P. lunatus showed a distinct essentials amino acid profile.
Observation Total fat was low in the accessions.
Association P. vulgaris accessions had higher omega-3 content than other species.
Observation P. vulgaris accessions had a favorable omega-6/omega-3 ratio.
Observation Ionomic profiling revealed variation in Ca, Fe and Zn across the accessions.
Observation One P. vulgaris line accumulated unsafe Pb and Cd.

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

In situ hyperspectral data predicted key forage traits effectively.

Taxon: soybean ( Glycine max ), tepary bean ( Phaseolus acutifolius ), and moth bean ( Vigna aconitifolia )Glycine maxVigna aconitifoliaPhaseolus acutifoliuse1
Outcome: key forage traitse0
Comparator: CHIME‐simulated bandse0

Not reportedValue

Verbatim

e0
“both in situ hyperspectral data and CHIME‐simulated bands effectively predicted key forage traits”
✓ located verbatim in the source · abstract, characters 944–1041

e1
“soybean ( Glycine max ), tepary bean ( Phaseolus acutifolius ), and moth bean ( Vigna aconitifolia )”
✓ located verbatim in the source · abstract, characters 198–298

Title

Hyperspectral reflectance and machine learning to monitor legume feed quality

Chinmayi H. K.; K. Colton Flynn; Gurjinder S. Baath; et al. Agronomy Journal 2026. doi:10.1002/agj2.70386

Other claims from this paper (7)

Method / resource CHIME-simulated bands predicted key forage traits effectively.
Method / resource RDF and SVN consistently outperformed k-NN and PLSR.
Method / resource SVN achieved the highest accuracy with fewer computational resources.
Method / resource RDF predictions were 1%–6% lower than SVN.
Method / resource k-NN performance declined by 18%–25%.
Method / resource PLSR had the weakest predictive ability.
Method / resource Species-specific models generally outperformed models including legume type as a variable.

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

CHIME-simulated bands predicted key forage traits effectively.

Taxon: soybean ( Glycine max ), tepary bean ( Phaseolus acutifolius ), and moth bean ( Vigna aconitifolia )Glycine maxVigna aconitifoliaPhaseolus acutifoliuse1
Outcome: key forage traitse0
Comparator: in situ hyperspectral datae0

Verbatim

e0
“both in situ hyperspectral data and CHIME‐simulated bands effectively predicted key forage traits”
✓ located verbatim in the source · abstract, characters 944–1041

e1
“soybean ( Glycine max ), tepary bean ( Phaseolus acutifolius ), and moth bean ( Vigna aconitifolia )”
✓ located verbatim in the source · abstract, characters 198–298

Title

Hyperspectral reflectance and machine learning to monitor legume feed quality

Chinmayi H. K.; K. Colton Flynn; Gurjinder S. Baath; et al. Agronomy Journal 2026. doi:10.1002/agj2.70386

Other claims from this paper (7)

Method / resource In situ hyperspectral data predicted key forage traits effectively.
Method / resource RDF and SVN consistently outperformed k-NN and PLSR.
Method / resource SVN achieved the highest accuracy with fewer computational resources.
Method / resource RDF predictions were 1%–6% lower than SVN.
Method / resource k-NN performance declined by 18%–25%.
Method / resource PLSR had the weakest predictive ability.
Method / resource Species-specific models generally outperformed models including legume type as a variable.

Associationobservedoriginal resultpositivemeasured

Claim · model-written summary

Tepary bean rhizospheres showed higher Rhizobiales abundance.

Taxon: tepary beanPhaseolus acutifoliuse0
Organ / stage: rhizospherese0
Outcome: relative abundance of Rhizobialese0
Direction: highere0

Verbatim

e0
“tepary bean rhizospheres showed higher relative abundance of Rhizobiales”
✓ located verbatim in the source · abstract, characters 847–919

Title

Functional and taxonomic shifts in rhizosphere microbiomes of summer legume cover crops

Sri Kiran Reddy Alla; Vijay Joshi Frontiers in Plant Science 2026. doi:10.3389/fpls.2026.1790810

Other claims from this paper (8)

Observationobservedoriginal resultmeasured

Claim · model-written summary

Tepary bean traits showed substantial natural variation.

Taxon: tepary beanPhaseolus acutifoliust0
Outcome: natural variation across traitse0

Verbatim

e0
“The results show substantial natural variation across traits”
✓ located verbatim in the source · abstract, characters 740–800

t0
“tepary bean”
✓ located verbatim in the source · title, characters 129–140

Title

Genotype-by-sequencing–enabled genome-wide association studies reveal genetic architecture of biomass and nitrogen modulation in tepary bean ( Phaseolus acutifolius )

Sri Kiran Reddy Alla; Vijay Joshi G3 Genes Genomes Genetics 2026. doi:10.1093/g3journal/jkag119

Other claims from this paper (5)

Associationobservedoriginal resultmeasured

Claim · model-written summary

Biomass loci were found on chromosomes 6, 7 and 11 near growth candidate genes.

Taxon: tepary beanPhaseolus acutifoliust0
Gene: hydroxyproline-rich glycoproteins and carotenoid cleavage dioxygenase 1e0
Outcome: Biomass-associated locie0
Qualifier: chromosomes 6, 7, and 11e0

Not reportedDirection

Verbatim

e0
“Biomass-associated loci on chromosomes 6, 7, and 11 align with candidate genes involved in structural growth and development, including hydroxyproline-rich glycoproteins and carotenoid cleavage dioxygenase 1”
✓ located verbatim in the source · abstract, characters 832–1039

t0
“tepary bean”
✓ located verbatim in the source · title, characters 129–140

Title

Genotype-by-sequencing–enabled genome-wide association studies reveal genetic architecture of biomass and nitrogen modulation in tepary bean ( Phaseolus acutifolius )

Sri Kiran Reddy Alla; Vijay Joshi G3 Genes Genomes Genetics 2026. doi:10.1093/g3journal/jkag119

Other claims from this paper (5)

Associationobservedoriginal resultmeasured

Claim · model-written summary

Relative NUE-Index loci implicated trehalose-6-phosphate signalling and phosphatase activity.

Taxon: tepary beanPhaseolus acutifoliust0
Compound: trehalose-6-phosphatee0
Outcome: Relative NUE-Index locie0

Not reportedDirection

Verbatim

e0
“Relative NUE-Index loci implicate trehalose-6-phosphate signaling and phosphatase activity”
✓ located verbatim in the source · abstract, characters 1041–1131

t0
“tepary bean”
✓ located verbatim in the source · title, characters 129–140

Title

Genotype-by-sequencing–enabled genome-wide association studies reveal genetic architecture of biomass and nitrogen modulation in tepary bean ( Phaseolus acutifolius )

Sri Kiran Reddy Alla; Vijay Joshi G3 Genes Genomes Genetics 2026. doi:10.1093/g3journal/jkag119

Other claims from this paper (5)

Observation Tepary bean traits showed substantial natural variation.
Association Biomass loci were found on chromosomes 6, 7 and 11 near growth candidate genes.
Observation Leaf ureide and amino-acid profiles varied pronouncedly among accessions.
Association A major chromosome 3 QTL near a BTB-domain gene was identified for flowering time.
Observation GWAS revealed a largely distinct polygenic structure across traits.

Observationobservedoriginal resultmeasured

Claim · model-written summary

Leaf ureide and amino-acid profiles varied pronouncedly among accessions.

Taxon: tepary beanPhaseolus acutifoliust0
Organ / stage: Leafe0
Outcome: Leaf ureide and amino-acid profilese0
Direction: pronouncede0

Verbatim

e0
“Leaf ureide and amino-acid profiles showed pronounced among-accession variation”
✓ located verbatim in the source · abstract, characters 1221–1300

t0
“tepary bean”
✓ located verbatim in the source · title, characters 129–140

Title

Genotype-by-sequencing–enabled genome-wide association studies reveal genetic architecture of biomass and nitrogen modulation in tepary bean ( Phaseolus acutifolius )

Sri Kiran Reddy Alla; Vijay Joshi G3 Genes Genomes Genetics 2026. doi:10.1093/g3journal/jkag119

Other claims from this paper (5)

Associationobservedoriginal resultmeasured

Claim · model-written summary

A major chromosome 3 QTL near a BTB-domain gene was identified for flowering time.

Taxon: tepary beanPhaseolus acutifoliust0
Gene: BTB-domain genee0
Outcome: flowering timee0
Qualifier: chromosome 3e0

Not reportedDirection

Verbatim

e0
“A major QTL on chromosome 3 for flowering time, near a BTB-domain gene”
✓ located verbatim in the source · abstract, characters 1383–1453

t0
“tepary bean”
✓ located verbatim in the source · title, characters 129–140

Title

Genotype-by-sequencing–enabled genome-wide association studies reveal genetic architecture of biomass and nitrogen modulation in tepary bean ( Phaseolus acutifolius )

Sri Kiran Reddy Alla; Vijay Joshi G3 Genes Genomes Genetics 2026. doi:10.1093/g3journal/jkag119

Other claims from this paper (5)

Observationobservedoriginal resultmeasured

Claim · model-written summary

GWAS revealed a largely distinct polygenic structure across traits.

Taxon: tepary beanPhaseolus acutifoliuse0
Outcome: largely distinct polygenic structure across traitse0

Verbatim

e0
“GWAS reveal a largely distinct polygenic structure across traits in tepary bean”
✓ located verbatim in the source · abstract, characters 1553–1632

Title

Genotype-by-sequencing–enabled genome-wide association studies reveal genetic architecture of biomass and nitrogen modulation in tepary bean ( Phaseolus acutifolius )

Sri Kiran Reddy Alla; Vijay Joshi G3 Genes Genomes Genetics 2026. doi:10.1093/g3journal/jkag119

Other claims from this paper (5)

Phaseolus acutifolius 942 claims

942 claims