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Observationobservedoriginal resultmeasured

Claim · model-written summary

Temporal soybean yield variability was 20–22%.

Taxon
soybeanGlycine maxe7
Outcome
soybean yield variabilitye7
Value
20–22%e7
Qualifier
temporale7

Verbatim

e7

“Spatial and temporal soybean yield variability was 16–26% and 20–22%, respectively”

✓ located verbatim in the source · abstract, characters 2005–2087

Title

Soybean Spatiotemporal Yield and Economic Variability as Affected by Tillage and Crop Rotation

Mahdi M. Al‐Kaisi; Sotirios Archontoulis; David Kwaw‐Mensah Agronomy Journal 2016. doi:10.2134/agronj2015.0363

Other claims from this paper (14)
Observationobservedoriginal resultmeasured

Claim · model-written summary

Maximum temporal yield variability was 14.7% between 2014 and 2017.

Taxon
paddy cropt0
Outcome
Maximum temporal variabilitye0
Direction
Maximume0
Value
14.7 %e0
Qualifier
between the year 2014 and 2017e0

Verbatim

e0

“Maximum temporal variability (14.7 %) was observed between the year 2014 and 2017.”

✓ located verbatim in the source · abstract, characters 750–832
t0

“Paddy Crop”

✓ located verbatim in the source · title, characters 32–42

Title

Yield Variability Assessment in Paddy Crop using Automatic Yield Monitoring System

N. S. Chandel; K. N. Agrawal Journal of Agricultural Engineering (India) 2019. doi:10.52151/jae2019563.1687

Other claims from this paper (4)
Observationobservedoriginal resultmeasured

Claim · model-written summary

Spatial and temporal cotton yield variability differed among fields.

Outcome
spatial and temporal yield variabilitye1
Qualifier
varied with the fielde1
Setting
Southern High Plainst0

Verbatim

t0

“Irrigated Cotton Yield in the Southern High Plains”

✓ located verbatim in the source · title, characters 31–81
e1

“The amount and pattern of spatial and temporal yield variability varied with the field”

✓ located verbatim in the source · abstract, characters 705–791

Title

Spatial and Temporal Trends of Irrigated Cotton Yield in the Southern High Plains

Wenxuan Guo Agronomy 2018. doi:10.3390/agronomy8120298

Other claims from this paper (8)
Observationobservedoriginal resultmeasured

Claim · model-written summary

Maximum temporal yield variability in paddy was 14.7%, observed between 2014 and 2017.

Taxon
paddy crope0
Outcome
temporal variabilitye3
Value
14.7 %e3
Qualifier
between the year 2014 and 2017e3

Verbatim

e0

“assess yield variability of paddy crop using automatic yield monitoring (AYM) system”

✓ located verbatim in the source · abstract, characters 25–109
e3

“Maximum temporal variability (14.7 %) was observed between the year 2014 and 2017”

✓ located verbatim in the source · abstract, characters 750–831

Title

Yield Variability Assessment in Paddy Crop using Automatic Yield Monitoring System

N. S. Chandel; K. N. Agrawal Journal of Agricultural Engineering (India) 2019. doi:10.52151/jae2018551.1687

Other claims from this paper (4)
Observationobservedoriginal resultmeasured

Claim · model-written summary

Sugar and stalk yield response to applied nitrogen showed high spatial and temporal variability.

Taxon
sugarcanee1
Treatment
applied Ne0
Outcome
spatial and temporal variability in sugar and stalk yielde0

Verbatim

e0

“High spatial and temporal variability in sugar and stalk yield to applied N were observed.”

✓ located verbatim in the source · abstract, characters 1490–1580
e1

“In sugarcane”

✓ located verbatim in the source · abstract, characters 148–160

Title

Relation between Early Season–Measured Agronomic Variables and Sugar Yield Responses to Nitrogen

Yumiko Kanke; Brenda Tubaña; Marilyn Dalen; et al. Agronomy Journal 2016. doi:10.2134/agronj2015.0037

Other claims from this paper (5)
Observationobservedoriginal resultmeasured

Claim · model-written summary

The AYM system showed real-time temporal and spatial yield variability classification and quantification in paddy field.

Taxon
paddy crope0
Outcome
real-time temporal and spatial variability classification and quantificatione5
Setting
paddy fielde5

Verbatim

e0

“assess yield variability of paddy crop using automatic yield monitoring (AYM) system”

✓ located verbatim in the source · abstract, characters 25–109
e5

“The AYM system could show the real-time temporal and spatial variability classification and quantification in paddy field”

✓ located verbatim in the source · abstract, characters 833–954

Title

Yield Variability Assessment in Paddy Crop using Automatic Yield Monitoring System

N. S. Chandel; K. N. Agrawal Journal of Agricultural Engineering (India) 2019. doi:10.52151/jae2018551.1687

Other claims from this paper (4)
Observationobservedoriginal resultmeasured

Claim · model-written summary

Year-to-year yield variability was low in Red Chief.

Taxon
APPLESt0
Material
Red Chiefe0
Outcome
Temporal variability (differences from year to year) in yielde0
Direction
lowe0

Verbatim

t0

“APPLES”

✓ located verbatim in the source · title, characters 63–69
e0

“Temporal variability (differences from year to year) in yield was low in 'Red Chief and high in 'Fuji' trees due to alternate bearing”

✓ located verbatim in the source · abstract, characters 1060–1193

Title

SPATIAL AND TEMPORAL VARIABILITY OF YIELD AND FRUIT QUALITY IN APPLES

K.D. Aggelopoulou; G.D. Nanos; T.A. Gemtos Acta Horticulturae 2010. doi:10.17660/actahortic.2010.877.96

Other claims from this paper (9)
Observationobservedoriginal resultmeasured

Claim · model-written summary

Year-to-year yield variability was high in Fuji due to alternate bearing.

Taxon
APPLESt0
Material
Fujie0
Outcome
Temporal variability (differences from year to year) in yielde0
Direction
highe0
Qualifier
due to alternate bearinge0

Verbatim

t0

“APPLES”

✓ located verbatim in the source · title, characters 63–69
e0

“Temporal variability (differences from year to year) in yield was low in 'Red Chief and high in 'Fuji' trees due to alternate bearing”

✓ located verbatim in the source · abstract, characters 1060–1193

Title

SPATIAL AND TEMPORAL VARIABILITY OF YIELD AND FRUIT QUALITY IN APPLES

K.D. Aggelopoulou; G.D. Nanos; T.A. Gemtos Acta Horticulturae 2010. doi:10.17660/actahortic.2010.877.96

Other claims from this paper (9)
Observationobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

Yield and quality had significant spatial variability.

Taxon
APPLESt0
Outcome
spatial variability in yield and qualitye0

Verbatim

t0

“APPLES”

✓ located verbatim in the source · title, characters 63–69
e0

“Significant spatial variability in yield and quality were found”

✓ located verbatim in the source · abstract, characters 797–860

Title

SPATIAL AND TEMPORAL VARIABILITY OF YIELD AND FRUIT QUALITY IN APPLES

K.D. Aggelopoulou; G.D. Nanos; T.A. Gemtos Acta Horticulturae 2010. doi:10.17660/actahortic.2010.877.96

Other claims from this paper (9)
Observationobservedoriginal resultmeasured

Claim · model-written summary

Cocoa monthly yield showed high spatial variability, except in January.

Outcome
spatial variabilitye1
Qualifier
except in Januarye1

Verbatim

e1

“Cocoa monthly yield, except in January, presented high spatial variability”

✓ located verbatim in the source · abstract, characters 924–998

Title

Spatial-temporal variability of leaf chlorophyll and its relationship with cocoa yield

Caique C. Medauar; Ícaro M. Galvão; Luis C. C. Carvalho; et al. Revista Brasileira de Engenharia Agrícola e Ambiental 2018. doi:10.1590/1807-1929/agriambi.v22n3p164-169

Other claims from this paper (3)

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