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Recommendationauthor interpretationoriginal resultbasis n/a

Claim · model-written summary

Yield maps may be unhelpful for future management when temporal variability is great.

Taxon
Cropt0
Outcome
may not be useful in making future management decisionse0
Qualifier
when temporal variability is greate0

Verbatim

e0

“Yield maps, which are used as an indication of past management in site‐specific cases, may not be useful in making future management decisions when temporal variability is great.”

✓ located verbatim in the source · abstract, characters 1623–1801
t0

“Crop Sequences”

✓ located verbatim in the source · title, characters 50–64

Title

Fractal Analysis of Temporal Yield Variability of Crop Sequences: Implications for Site‐Specific Management

Bahman Eghball; Gary E. Varvel Agronomy Journal 1997. doi:10.2134/agronj1997.00021962008900060001x

Other claims from this paper (6)
Observationobservedoriginal resultmeasured

Claim · model-written summary

Yield gaps of the four legumes showed large spatial and temporal variability across the production zones.

Taxon
legumese3
Outcome
yield gapse3
Qualifier
Large spatial and temporal variabilitye3

Verbatim

e3

“Large spatial and temporal variability was observed in the yield gaps of the four legumes across the production zones”

✓ located verbatim in the source · abstract, characters 1683–1800

Title

Yield Gap Analysis of Soybean, Groundnut, Pigeonpea and Chickpea in India Using Simulation Modeling:Global Theme on Agroecosystems Report no. 31

Virender Singh Bhatia; P. Singh; S P Wani; et al. Open Access Repository of ICRISAT (International Crops Research Institute for the Semi-Arid Tropics) 2006

Other claims from this paper (13)
Associationobservedoriginal resultmeasured

Claim · model-written summary

Climatic conditions strongly affected temporal variability of oil palm production.

Taxon
oil palme0
Outcome
temporal variability of oil palm productione0
Setting
climatic conditionse0

Not reportedDirection

Verbatim

e0

“climatic conditions had strong effects on the temporal variability of oil palm production.”

✓ located verbatim in the source · abstract, characters 1654–1744

Title

Long-term crop residue application maintains oil palm yield and temporal stability of production

Hsiao-Hang Tao; Jake L. Snaddon; Eleanor M. Slade; et al. Agronomy for Sustainable Development 2017. doi:10.1007/s13593-017-0439-5

Other claims from this paper (7)
Observationobservedoriginal resultmeasured

Claim · model-written summary

Wheat yield gaps showed temporal variability of 9 to 18%.

Outcome
temporal variabilitye0
Value
9 to 18%e0

Verbatim

e0

“High regional differences in wheat yield gaps were observed, with values ranging from 1.64 t/ha in Casablanca Settat to 4.12 t/ha in Marrakech Safi, and temporal variability ranging from 9 to 18%.”

✓ located verbatim in the source · abstract, characters 1163–1359

Title

The impact of precipitation, temperature, and soil moisture on wheat yield gap quantification: evidence from Morocco

Lahcen Ousayd; Terence Epule Epule; Salwa Belaqziz; et al. Agriculture & Food Security 2025. doi:10.1186/s40066-024-00509-w

Other claims from this paper (7)
Observationobservedoriginal resultpositivemeasured

Claim · model-written summary

CaNPK and NPK without manure gave high yield and low variability.

Taxon
Winter ryeSecale cerealee0
Treatment
CaNPK and NPK, without additional organic manuree0
Outcome
high yield and low temporal yield variabilitye0

Verbatim

e0

“Winter rye given CaNPK and NPK, without additional organic manure demonstrated high yield and low temporal yield variability.”

✓ located verbatim in the source · abstract, characters 1407–1532

Title

Effects of Fertilizers and Manures on Temporal Yield Variability of Winter Rye

Marcin Studnicki; Janna Macholdt; Andy Macdonald; et al. Agronomy 2021. doi:10.3390/agronomy11030519

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

Claim · model-written summary

The monitoring system showed real-time temporal and spatial yield variation in the paddy field.

Taxon
paddye0
Outcome
real-time temporal and spatial variability classification and quantificatione0
Value
real-timee0

Verbatim

e0

“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 833–955

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)
Method / resourceobservedoriginal resultsimulated

Claim · model-written summary

Agreement between simulated and observed temporal variability was lower.

Outcome
agreement of simulated and observed temporal variabilitye0
Direction
lowere0
Comparator
simulated and observede0

Not reportedTaxon

Verbatim

e0

“The agreement of simulated and observed temporal variability is lower due to non-climatic factors”

✓ located verbatim in the source · abstract, characters 1390–1487

Title

How model and input uncertainty impact maize yield simulations in West Africa

Katharina Waha; Neil Huth; Peter Carberry; et al. Environmental Research Letters 2015. doi:10.1088/1748-9326/10/2/024017

Other claims from this paper (7)
Mechanismhypothesisoriginal resultmeasured

Claim · model-written summary

Spatial and temporal yield patterns in low-variability cotton fields might be more influenced by weather or other factors across seasons.

Outcome
spatial and temporal yield patternse1
Qualifier
weather or other factors in different growing seasonse1

Verbatim

t0

“Irrigated Cotton Yield in the Southern High Plains”

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

“For fields with low variability in yield, spatial and temporal yield patterns might be more influenced by weather or other factors in different growing seasons”

✓ located verbatim in the source · abstract, characters 1217–1376

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

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)
Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Manure reduced rye yield variability under Ca and CaPK.

Treatment
additional manuree0
Outcome
temporal yield variability of ryee0
Direction
reducede0
Qualifier
Ca and CaPK (without mineral N)e0

Not reportedComparator

Verbatim

e0

“additional manure in ‘sub-optimal’ mineral fertilizer treatments, such as Ca and CaPK (without mineral N), reduced the temporal yield variability of rye”

✓ located verbatim in the source · abstract, characters 1069–1221

Title

Effects of Fertilizers and Manures on Temporal Yield Variability of Winter Rye

Marcin Studnicki; Janna Macholdt; Andy Macdonald; et al. Agronomy 2021. doi:10.3390/agronomy11030519

Other claims from this paper (4)

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