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Method / resourceobservedoriginal resultno effectnot significant (as stated)measured

Claim · model-written summary

Using SNP subsets based on functional annotation did not significantly decrease chickpea grain-yield prediction accuracy.

Taxon
chickpeaCicer arietinume1
Outcome
prediction accuracy for grain yielde0
Direction
did not significantly decreasee0
Comparator
whole SNP datasete0

Not reportedValue

Verbatim

e0

“Compared with the whole SNP dataset, a subset of SNPs did not significantly decrease prediction accuracy for grain yield despite consisting of a smaller number of SNPs.”

✓ located verbatim in the source · abstract, characters 1672–1840
e1

“chickpea breeding lines”

✓ located verbatim in the source · abstract, characters 333–356

Title

Genomic prediction of preliminary yield trials in chickpea: Effect of functional annotation of SNPs and environment

Yongle Li; Pradeep Ruperao; Jacqueline Batley; et al. The Plant Genome 2021. doi:10.1002/tpg2.20166

Other claims from this paper (7)
Method / resourceauthor interpretationoriginal resultmeasured

Claim · model-written summary

Using uncorrelated SNPs may reduce dataset dimensions.

Taxon
perennial ryegrassLolium perennet0
Outcome
data set dimensionse0
Direction
decreasee0

Not reportedComparator

Verbatim

t0

“perennial ryegrass”

✓ located verbatim in the source · title, characters 47–65
e0

“allowing for a potential decrease of the data set dimensions”

✓ located verbatim in the source · abstract, characters 816–876

Title

Genomic prediction of seasonal forage yield in perennial ryegrass

Agnieszka Konkolewska; Steffie Phang; Patrick Conaghan; et al. Grassland Research 2023. doi:10.1002/glr2.12058

Other claims from this paper (8)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The method decreased the relative ratio of chloroplast DNA.

Taxon
soybeanGlycine maxe1
Outcome
relative ratio of chloroplast DNAe0
Direction
decreasee0
Comparator
seeds using the IMP Boom methode0

Verbatim

e0

“DNA extracted from seeds using the IMP Boom method showed an increase in the percentage of the nuclear genome with a decrease in the relative ratio of chloroplast DNA”

✓ located verbatim in the source · abstract, characters 1390–1556
e1

“soybean seeds”

✓ located verbatim in the source · abstract, characters 675–688

Title

Development of a High-Quality/Yield Long-Read Sequencing-Adaptable DNA Extraction Method for Crop Seeds

Naohiro Shioya; Eri Ogiso-Tanaka; Masanori Watanabe; et al. Plants 2023. doi:10.3390/plants12162971

Other claims from this paper (9)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Models accounting for enviromic information decreased error variance.

Taxon
alfalfa (Medicago sativa L.)Medicago sativae1
Treatment
models accounting to the enviromics informatione0
Outcome
error variancee0
Direction
decreasee0

Not reportedComparator

Verbatim

e0

“models accounting to the enviromics information led to an increase of genetic variance and a decrease in the error variance”

✓ located verbatim in the source · abstract, characters 640–763
e1

“Breeding for dry matter yield and persistence in alfalfa (Medicago sativa L.)”

✓ located verbatim in the source · abstract, characters 0–77

Title

Идентификация математической модели в виде полиномиальной рекуррентной нейронной сети и настройка регуляторов электропривода с сериесным двигателем

И. А. Орловский Радіоелектроніка, інформатика, управління 2011. doi:10.1002/tpg2.20306

Other claims from this paper (11)
Method / resourceobservedoriginal resultnegativemeasured

Claim · model-written summary

Adding GWAS-identified SNPs and NIRS data tended to reduce prediction accuracy within and across cycles.

Outcome
prediction accuracye0
Direction
decreasee0
Qualifier
both within and between breeding cyclese0

Not reportedTaxonMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingValue

Verbatim

e0

“incorporating significant SNP markers identified by GWAS and NIRS data into the models tended to decrease prediction accuracy both within and between breeding cycles”

✓ located verbatim in the source · abstract, characters 1095–1260

Title

GWAS-assisted and multitrait genomic prediction for improvement of seed yield and canning quality traits in a black bean breeding panel

Paulo Izquierdo; Evan M Wright; Karen Cichy G3 Genes Genomes Genetics 2025. doi:10.1093/g3journal/jkaf007

Other claims from this paper (6)
Method / resourceobservedoriginal resultpositivesimulated

Claim · model-written summary

OCS predicted mean cooking time reduction of 9.3%.

Taxon
common beansPhaseolus vulgarist0
Outcome
mean CKTe0
Direction
decreasee0
Value
9.3%e0

Verbatim

e0

“Progeny were predicted by OCS to increase in mean GY by 12.4%, decrease in mean CKT by 9.3%, and increase in mean Fe and Zn content by 6.9 and 4.6%, respectively, with low achieved coancestry of 0.032.”

✓ located verbatim in the source · abstract, characters 1230–1431
t0

“common beans”

✓ located verbatim in the source · title, characters 142–154

Title

Multivariate genomic analysis and optimal contributions selection predicts high genetic gains in cooking time, iron, zinc, and grain yield in common beans in East Africa

Renu Saradadevi; Clare Mukankusi; Li Li; et al. The Plant Genome 2021. doi:10.1002/tpg2.20156

Other claims from this paper (13)
Method / resourceobservedoriginal resultpositivesimulated

Claim · model-written summary

OCS predicted mean grain yield gain of 12.4%.

Taxon
common beansPhaseolus vulgarist0
Outcome
mean GYe0
Direction
increasee0
Value
12.4%e0

Verbatim

e0

“Progeny were predicted by OCS to increase in mean GY by 12.4%, decrease in mean CKT by 9.3%, and increase in mean Fe and Zn content by 6.9 and 4.6%, respectively, with low achieved coancestry of 0.032.”

✓ located verbatim in the source · abstract, characters 1230–1431
t0

“common beans”

✓ located verbatim in the source · title, characters 142–154

Title

Multivariate genomic analysis and optimal contributions selection predicts high genetic gains in cooking time, iron, zinc, and grain yield in common beans in East Africa

Renu Saradadevi; Clare Mukankusi; Li Li; et al. The Plant Genome 2021. doi:10.1002/tpg2.20156

Other claims from this paper (13)
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

The optimum annealing temperature for the four Lr genes in the multiplex PCR was 61°C.

Outcome
optimum annealing temperaturee1
Value
61°Ce1

Verbatim

e0

“Leaf rust is a fungal disease in wheat that causes significant decrease in yield around the world”

✓ located verbatim in the source · abstract, characters 0–97
e1

“We found that the optimum annealing temperature for all four genes was 61°C”

✓ located verbatim in the source · abstract, characters 1197–1272

Title

Screening of Lr genes providing resistance to leaf rust in wheath using multiplex PCR method

Aybeke, Mehmet DOAJ (DOAJ: Directory of Open Access Journals) 2019

Other claims from this paper (2)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The method increased the percentage of nuclear genome reads.

Taxon
soybeanGlycine maxe1
Outcome
percentage of the nuclear genomee0
Direction
increasee0
Comparator
seeds using the IMP Boom methode0

Verbatim

e0

“DNA extracted from seeds using the IMP Boom method showed an increase in the percentage of the nuclear genome with a decrease in the relative ratio of chloroplast DNA”

✓ located verbatim in the source · abstract, characters 1390–1556
e1

“soybean seeds”

✓ located verbatim in the source · abstract, characters 675–688

Title

Development of a High-Quality/Yield Long-Read Sequencing-Adaptable DNA Extraction Method for Crop Seeds

Naohiro Shioya; Eri Ogiso-Tanaka; Masanori Watanabe; et al. Plants 2023. doi:10.3390/plants12162971

Other claims from this paper (9)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Models accounting for enviromic information increased genetic variance.

Taxon
alfalfa (Medicago sativa L.)Medicago sativae1
Treatment
models accounting to the enviromics informatione0
Outcome
genetic variancee0
Direction
increasee0

Not reportedComparator

Verbatim

e0

“models accounting to the enviromics information led to an increase of genetic variance and a decrease in the error variance”

✓ located verbatim in the source · abstract, characters 640–763
e1

“Breeding for dry matter yield and persistence in alfalfa (Medicago sativa L.)”

✓ located verbatim in the source · abstract, characters 0–77

Title

Идентификация математической модели в виде полиномиальной рекуррентной нейронной сети и настройка регуляторов электропривода с сериесным двигателем

И. А. Орловский Радіоелектроніка, інформатика, управління 2011. doi:10.1002/tpg2.20306

Other claims from this paper (11)

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