Search claims · PlantClaims

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)

Intervention effect No-tillage gave a higher economic return than conventional tillage in soybean.
Intervention effect Input costs excluding land rental and crop insurance were lower with no-tillage than with conventional tillage.
Intervention effect The soybean yield response to tillage systems was not significant at different locations.
Intervention effect The C‐C‐S rotation gave greater soybean yields (9%) than the C‐S rotation in five of seven locations.
Intervention effect The C‐C‐S rotation gave higher economic returns (11%) than the C‐S rotation in five of seven locations.
Association Site-specific effects of rotation on soybean yield were greater than tillage system effects.
Association The effect of C‐S, C‐C‐S and C‐C rotations on soybean was consistently higher in southern than in northern locations.
Association Stable economic returns over time for corn and soybean were more associated with the C‐S rotation than with C‐C‐S and C‐C.
Intervention effect C‐S cropping system yields and economic returns were superior to C‐C.
Observation Soybean yield varied from 1.5 to 5.0 Mg ha −1 across Iowa.
Observation Soybean yield variability across Iowa was 21%.
Observation Spatial soybean yield variability was 16–26%.
Intervention effect No-tillage input cost was $49 ha −1 lower than that for CP, DR and MP tillage.
Intervention effect Tillage systems did not produce soybean yield differences with either rotation.

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)

Mechanismauthor interpretationoriginal resultbasis n/a

Claim · model-written summary

Temporal variability in Acacia establishment indicates that climatic variability structures tree demography.

Taxon: AcaciaAcaciae0
Treatment: climatic variabilitye1
Outcome: tree demographye1

Verbatim

e0
“We tested whether establishment of adult trees was constant or episodic using tree ring counting of three Acacia species in Hluhluwe iMfolozi Park in South Africa”
✓ located verbatim in the source · abstract, characters 760–922

e1
“larger-scale temporal variability indicates that climatic variability also structures tree demography”
✓ located verbatim in the source · abstract, characters 1350–1451

Title

History matters: tree establishment variability and species turnover in an African savanna

A. Carla Staver; William J. Bond; Edmund C. February Ecosphere 2011. doi:10.1890/es11-00029.1

Other claims from this paper (5)

Recommendationauthor interpretationoriginal resultbasis n/a

Claim · model-written summary

Combining different sensors makes it possible to assess the spatial and temporal variability of water in vineyards.

Taxon: wine grapesVitis viniferae0
Outcome: spatial and temporal variability of water in vineyardse1

Verbatim

e0
“growing wine grapes”
✓ located verbatim in the source · abstract, characters 120–139

e1
“By combining different sensors, the platform makes it possible to assess the spatial and temporal variability of water in vineyards”
✓ located verbatim in the source · abstract, characters 1068–1199

Title

Combining Precision Viticulture Technologies and Economic Indices to Sustainable Water Use Management

Adele Finco; Deborah Bentivoglio; Giulia Chiaraluce; et al. Water 2022. doi:10.3390/w14091493

Other claims from this paper (1)

Recommendation Platform output matched with economic indices supports winemakers in optimizing and scheduling water use under water-scarce conditions.

Observationobservedreview summarybasis n/a

Claim · model-written summary

Spatial and temporal variability in orchards is documented in the review.

Taxon: tree cropse1
Outcome: spatial and temporal variabilitye2
Setting: orchardse2

Verbatim

e1
“A review of methodical approaches and upcoming challenges for precise management of tree crops and vegetables are covered in this paper”
✓ located verbatim in the source · abstract, characters 661–796

e2
“The spatial and temporal variability in orchards as well as effects of site-specific application of inputs are documented in this paper”
✓ located verbatim in the source · abstract, characters 1076–1211

Title

Applications of precision agriculture in horticultural crops

M. Zude-Sasse; S. Fountas; T.A. Gemtos; et al. European Journal of Horticultural Science 2016. doi:10.17660/ejhs.2016/81.2.2

Other claims from this paper (1)

Observation First applications of mechanical harvesting were described for horticultural crops.

Recommendationauthor interpretationoriginal resultbasis n/a

Claim · model-written summary

Fields with high spatial variability and a clear temporal stability pattern have great potential for long-term site-specific management of crop inputs.

Taxon: CottonGossypium hirsutumt0
Outcome: long-term site-specific management of crop inputse1
Qualifier: high spatial variability and a clear temporal stability patterne1

Verbatim

t0
“Irrigated Cotton Yield in the Southern High Plains”
✓ located verbatim in the source · title, characters 31–81

e1
“Fields with high spatial variability and a clear temporal stability pattern have great potential for long-term site-specific management of crop inputs”
✓ located verbatim in the source · abstract, characters 1378–1528

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

Leaf oxidative ratio had the highest temporal variability, with minimum 1.069 ± 0.007 and maximum 1.098 ± 0.002.

Taxon: beeche0
Organ / stage: Leafe3
Outcome: temporal variabilitye3
Direction: higheste3
Value: 1.069 ± 0.007e3
Qualifier: maximum 1.098 ± 0.002e3

Verbatim

e0
“temperate beech forest close to Leinefelde (Germany)”
✓ located verbatim in the source · abstract, characters 378–430

e3
“Leaf OR had the highest temporal variability (minimum 1.069 ± 0.007, maximum 1.098 ± 0.002)”
✓ located verbatim in the source · abstract, characters 712–803

Title

Variations of the Oxidative Ratio across Ecosystem Components and Seasons in a Managed Temperate Beech Forest (Leinefelde, Germany)

Jonathan Jürgensen; Jan Muhr; Alexander Knohl Forests 2021. doi:10.3390/f12121693

Other claims from this paper (7)

Recommendationauthor interpretationoriginal resultbasis n/a

Claim · model-written summary

Geocode can be very useful for modelling the spatial and temporal variability of land mapping units, including for agricultural weed eradication programmes.

Taxon: invasive alien plantse1
Outcome: modelling both the spatial and temporal variability of land mapping unitse5

Verbatim

e1
“The control and eradication of invasive alien plants in South Africa”
✓ located verbatim in the source · abstract, characters 0–68

e5
“The Geocode (NBAL + Date) can be very useful in modelling both the spatial and temporal variability of land mapping units”
✓ located verbatim in the source · abstract, characters 1900–2021

Title

Standardisation in Mapping and Monitoring of Invasive Alien Plant Species

J. M. K. Kandeh Journal of Environmental Informatics 2006. doi:10.3808/jei.200600065

Other claims from this paper (2)

Observationobservedoriginal resultmeasured

Claim · model-written summary

Monitoring data illustrate the potential for positional and temporal variability in temperature, humidity and weight loss during kiwifruit curing.

Taxon: kiwifruitActinidia deliciosae1
Organ / stage: fruite0
Outcome: positional and temporal variabilitye1
Setting: commercial binse0

Verbatim

e0
“temperature, humidity and weight loss of more than 200 full-scale commercial bins of fruit from a block of orchard were monitored from harvest to packing”
✓ located verbatim in the source · abstract, characters 854–1007

e1
“the potential for positional and temporal variability that is created during the curing process, within a typical batch of kiwifruit destined for long-term storage”
✓ located verbatim in the source · abstract, characters 1074–1237

Title

What happens in a full-scale kiwifruit curing stack?

A.R. East; L. Doleh; P.B. Jeffery; et al. Acta Horticulturae 2018. doi:10.17660/actahortic.2018.1218.72

Mechanismauthor interpretationreview summarybasis n/a

Claim · model-written summary

Models reviewed in the paper show that pollinators can drive the evolution of floral divergence in the presence of behavioural noise and temporal variability in the composition of pollinator ensembles.

Interactor: pollinatorse0pollinator
Outcome: evolution of floral divergencee0
Qualifier: behavioural noise and temporal variability in the composition of pollinator ensemblese0

Not reportedTaxon

Verbatim

e0
“pollinators can drive the evolution of floral divergence in the presence of behavioural noise and temporal variability in the composition of pollinator ensembles”
✓ located verbatim in the source · abstract, characters 1243–1404

Title

How Foraging Behaviour and Resource Partitioning Can Drive the Evolution of Flowers and the Structure of Pollination Networks

Miguel A. Rodriguez-Girones; Luis Santamaria The Open Ecology Journal 2010. doi:10.2174/1874213001003040001

Other claims from this paper (1)

Mechanism In animal pollinated species the trajectory of pollen grains is determined by the foraging strategy of pollinators, as the authors state.

“temporal variability”

Claim types

Direction of the findings

Over time

Claim type

Research area

Polarity

Statistics