Method / resource 289,819 claims

Claim · model-written summary

The model correctly predicted that Toona, Cañafístola and Petiribi support higher yerba mate harvest yields than the no-tree control.

Taxon

Ilex paraguariensisIlex paraguariensise0

Treatment

Toona , Cañafístola , Petiribie0

Outcome

harvest yieldse0

Direction

highere0

Comparator

the control (no trees)e0

Verbatim

e0

“the model reproduces observed relative Ilex paraguariensis yield differences, correctly predicting that Toona , Cañafístola , Petiribi , Anchico , and Kiri support higher harvest yields than the control (no trees)”

Claim · model-written summary

The model correctly predicted that Anchico and Kiri support higher yerba mate harvest yields than the no-tree control.

Taxon

Ilex paraguariensisIlex paraguariensise0

Treatment

Anchico , and Kirie0

Outcome

harvest yieldse0

Direction

highere0

Comparator

the control (no trees)e0

Verbatim

e0

“the model reproduces observed relative Ilex paraguariensis yield differences, correctly predicting that Toona , Cañafístola , Petiribi , Anchico , and Kiri support higher harvest yields than the control (no trees)”

Claim · model-written summary

In single-year forecasting the model reduced RMSE by 4.1762% relative to leading models such as AMAP on US soybean county data.

Taxon

soybeanGlycine maxe1

Outcome

RMSEe0

Direction

reducese0

Value

4.1762%e0

Comparator

leading models like AMAPe2

Setting

major U.S. soybean-producing statese1

Verbatim

e0

“in single-year forecasting, the model reduces RMSE by 4.1762% and boosts R2 by 3.4458%”

e1

“major U.S. soybean-producing states”

e2

“compared with leading models like AMAP”

Claim · model-written summary

In single-year forecasting the model raised R2 by 3.4458% relative to leading models such as AMAP on US soybean county data.

Taxon

soybeanGlycine maxe1

Outcome

R2e0

Direction

boostse0

Value

3.4458%e0

Comparator

leading models like AMAPe2

Setting

major U.S. soybean-producing statese1

Verbatim

e0

“in single-year forecasting, the model reduces RMSE by 4.1762% and boosts R2 by 3.4458%”

e1

“major U.S. soybean-producing states”

e2

“compared with leading models like AMAP”

Claim · model-written summary

In five-year forecasting the model reduced RMSE by 3.2914% relative to leading models such as AMAP on US soybean county data.

Taxon

soybeanGlycine maxe1

Outcome

RMSEe0

Direction

reducese0

Value

3.2914%e0

Comparator

leading models like AMAPe2

Setting

major U.S. soybean-producing statese1

Verbatim

e0

“For five-year long-term forecasting, it reduces the RMSE by 3.2914% and increases the R2 by 4.7537%”

e1

“major U.S. soybean-producing states”

e2

“compared with leading models like AMAP”

Claim · model-written summary

In five-year forecasting the model increased R2 by 4.7537% relative to leading models such as AMAP on US soybean county data.

Taxon

soybeanGlycine maxe1

Outcome

R2e0

Direction

increasese0

Value

4.7537%e0

Comparator

leading models like AMAPe2

Setting

major U.S. soybean-producing statese1

Verbatim

e0

“For five-year long-term forecasting, it reduces the RMSE by 3.2914% and increases the R2 by 4.7537%”

e1

“major U.S. soybean-producing states”

e2

“compared with leading models like AMAP”

Claim · model-written summary

Mean genomic prediction accuracy was high for plant height in sorghum hybrids.

Taxon

sorghumSorghumt0

Outcome

mean accuraciese1

Value

highe1

Qualifier

plant heighte1

Verbatim

e1

“mean accuracies were high for plant height”

t0

“sorghum hybrid adaptation”

Claim · model-written summary

Mean genomic prediction accuracy was moderate for grain yield, anthracnose resistance and days to anthesis.

Taxon

sorghumSorghumt0

Outcome

accuraciese1

Value

moderatee1

Qualifier

grain yield, anthracnose resistance, days to anthesise1

Verbatim

e1

“mean accuracies were high for plant height and moderate for grain yield, anthracnose resistance, days to anthesis, and test weight”

t0

“sorghum hybrid adaptation”

Claim · model-written summary

Mean genomic prediction accuracy was moderate for test weight.

Taxon

sorghumSorghumt0

Outcome

accuraciese1

Value

moderatee1

Qualifier

test weighte1

Verbatim

e1

“mean accuracies were high for plant height and moderate for grain yield, anthracnose resistance, days to anthesis, and test weight”

t0

“sorghum hybrid adaptation”

Claim · model-written summary

Genomic selection of new F4:5 parents led to approximately half of the families within each fertility pool having one or more progeny advance to testcrossing.

Taxon

sorghumSorghumt0

Outcome

total families within each fertility pool having one or more progeny advance to testcrossinge1

Value

approximately halfe1

Verbatim

e1

“approximately half of the total families within each fertility pool having one or more progeny advance to testcrossing”

t0

“sorghum hybrid adaptation”