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Method / resourceauthor interpretationoriginal resultmeasured

Claim · model-written summary

Plot size influenced wheat yield prediction accuracy.

Outcome
yield prediction accuraciese0

Not reportedComparator

Verbatim

e0

“the plot size would influence yield prediction accuracies”

✓ located verbatim in the source · abstract, characters 1811–1868

Title

Effect of high-resolution satellite and UAV imagery plot pixel resolution in wheat crop yield prediction

Worasit Sangjan; Arron H. Carter; Michael O. Pumphrey; et al. International Journal of Remote Sensing 2024. doi:10.1080/01431161.2024.2313997

Other claims from this paper (7)
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

The optimum plot size for evaluating yield in papaya was four plants per plot with four replications, assuming 30% precision.

Taxon
papayaCarica papayat0
Outcome
optimum plot size for the evaluation of yielde0
Value
four plants by plote0
Qualifier
30% of the precisione0

Verbatim

t0

“papaya”

✓ located verbatim in the source · title, characters 39–45
e0

“the optimum plot size for the evaluation of yield in papaya was four plants by plot with four replications each assuming 30% of the precision”

✓ located verbatim in the source · abstract, characters 714–855

Title

Optimum plot size for experiments with papaya genotypes in field

Romais Schmildt Edilson; Lima Nascimento Adriel; de Lima Nascimento Alan; et al. African Journal of Agricultural Research 2018. doi:10.5897/ajar2017.12951

Other claims from this paper (1)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

F2 hill-plot yield was a best predictor of F4 hill-plot yield (phenotypic correlation 0.35).

Taxon
triticales×Triticosecalet0
Outcome
best predictors of F4 hill-plot yielde4
Value
0.3510 -03e4
Qualifier
F2e4

Verbatim

t0

“The predictive value of parental, F1 and early generation hill-plot testing for yield among rapidly advanced hexaploid triticales”

✓ located verbatim in the source · title, characters 0–129
e4

“The best predictors of F4 hill-plot yield were mid-parent, F2 and F3 mean hill-plot yield with phenotypic correlations of 0- 26¦ 0.17, 0.3510 -03 and 0.44¦ 0.06 respectively”

✓ located verbatim in the source · abstract, characters 851–1024

Title

The predictive value of parental, F1 and early generation hill-plot testing for yield among rapidly advanced hexaploid triticales

RM Trethowan; NL Darvey Australian Journal of Agricultural Research 1994. doi:10.1071/ar9940051

Other claims from this paper (10)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Multivariate linear regression was suitable for plot yield prediction.

Taxon
SoybeanGlycine maxt0
Outcome
suitable for plot-yield predictione0
Comparator
multi-variate linear regressione0

Verbatim

e0

“multi-variate linear regression was suitable for plot-yield prediction”

✓ located verbatim in the source · abstract, characters 1106–1176
t0

“Soybean”

✓ located verbatim in the source · title, characters 49–56

Title

Establishment of Plot-Yield Prediction Models in Soybean Breeding Programs Using UAV-Based Hyperspectral Remote Sensing

Xiaoyan Zhang; Jinming Zhao; Guijun Yang; et al. Remote Sensing 2019. doi:10.3390/rs11232752

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

Claim · model-written summary

F3 hill-plot yield was a best predictor of F4 hill-plot yield (phenotypic correlation 0.44).

Taxon
triticales×Triticosecalet0
Outcome
best predictors of F4 hill-plot yielde4
Value
0.44¦ 0.06e4
Qualifier
F3e4

Verbatim

t0

“The predictive value of parental, F1 and early generation hill-plot testing for yield among rapidly advanced hexaploid triticales”

✓ located verbatim in the source · title, characters 0–129
e4

“The best predictors of F4 hill-plot yield were mid-parent, F2 and F3 mean hill-plot yield with phenotypic correlations of 0- 26¦ 0.17, 0.3510 -03 and 0.44¦ 0.06 respectively”

✓ located verbatim in the source · abstract, characters 851–1024

Title

The predictive value of parental, F1 and early generation hill-plot testing for yield among rapidly advanced hexaploid triticales

RM Trethowan; NL Darvey Australian Journal of Agricultural Research 1994. doi:10.1071/ar9940051

Other claims from this paper (10)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Spatial correlation modeling and plot covariates improved yield predictions.

Treatment
Modeling spatial correlation and including plot covariatese0
Outcome
yield predictionse0
Direction
improvede0

Not reportedTaxonComparatorValue

Verbatim

e0

“Modeling spatial correlation and including plot covariates improved yield predictions.”

✓ located verbatim in the source · abstract, characters 1072–1158

Title

Statistical models of yield in on‐farm precision experimentation

P. Paccioretti; C. Bruno; F. Gianinni Kurina; et al. Agronomy Journal 2021. doi:10.1002/agj2.20833

Other claims from this paper (4)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Mid-parent, F2 and F3 hill-plot yield predicted F4 hill-plot yield at least as well as dry matter and harvest index.

Taxon
triticales×Triticosecalet0
Outcome
prediction of F4 hill-plot yielde0
Direction
equivalent to or better thane0
Comparator
dry matter and harvest indexe0

Verbatim

t0

“The predictive value of parental, F1 and early generation hill-plot testing for yield among rapidly advanced hexaploid triticales”

✓ located verbatim in the source · title, characters 0–129
e0

“Mid-parent, F2 and F3 hill-plot yield was equivalent to or better than dry matter and harvest index for the prediction of F4 hill-plot yield”

✓ located verbatim in the source · abstract, characters 547–687

Title

The predictive value of parental, F1 and early generation hill-plot testing for yield among rapidly advanced hexaploid triticales

RM Trethowan; NL Darvey Australian Journal of Agricultural Research 1994. doi:10.1071/ar9940051

Other claims from this paper (10)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Mid-parent hill-plot yield was a best predictor of F4 hill-plot yield (phenotypic correlation 0.26).

Taxon
triticales×Triticosecalet0
Outcome
best predictors of F4 hill-plot yielde4
Value
0- 26¦ 0.17e4
Qualifier
mid-parente4

Verbatim

t0

“The predictive value of parental, F1 and early generation hill-plot testing for yield among rapidly advanced hexaploid triticales”

✓ located verbatim in the source · title, characters 0–129
e4

“The best predictors of F4 hill-plot yield were mid-parent, F2 and F3 mean hill-plot yield with phenotypic correlations of 0- 26¦ 0.17, 0.3510 -03 and 0.44¦ 0.06 respectively”

✓ located verbatim in the source · abstract, characters 851–1024

Title

The predictive value of parental, F1 and early generation hill-plot testing for yield among rapidly advanced hexaploid triticales

RM Trethowan; NL Darvey Australian Journal of Agricultural Research 1994. doi:10.1071/ar9940051

Other claims from this paper (10)
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Optimum plot size for snap bean yield evaluations at these locations was estimated.

Taxon
snap beane1
Outcome
Optimum plot sizee1
Setting
these locationse1

Not reportedComparatorValue

Verbatim

e1

“Optimum plot size for snap bean yield evaluations at these locations under the various conditions imposed were estimated”

✓ located verbatim in the source · abstract, characters 1155–1275

Title

Field Plot Technique Affects Snap Bean Yield Evaluation

Gavin R. Sills; James Nienhuis Journal of the American Society for Horticultural Science 1993. doi:10.21273/jashs.118.5.672

Other claims from this paper (8)
Method / resourceobservedoriginal resultbasis n/a

Claim · model-written summary

The trial provides plot-level grain yield records for 1925 to 1993.

Outcome
Grain yielde0
Value
1925 to 1993e0

Verbatim

e0

“Grain yield: for each plot from 1925 to 1993”

✓ located verbatim in the source · abstract, characters 57–101

Title

Waite Permanent Rotation Trial

Sanderman, Jonathan; David, Rakesh; Moore, Andrew; et al. 2015. doi:10.4225/08/55e5165ec0d29

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