Try:droughtFusariumnitrogen fertilizerArabidopsisseed germination
Claim · model-written summary
Spatial and temporal corn yield variability were uncorrelated.
Not reportedSettingDirection
Verbatim
e0“Spatial and temporal variability were uncorrelated”
t0“Corn Silage”
Title
Combining Spatial and Temporal Corn Silage Yield Variability for Management Zone Development
Tulsi P. Kharel; Angel Maresma; Karl J. Czymmek; et al. Agronomy Journal 2019. doi:10.2134/agronj2019.02.0079
Claim · model-written summary
Spatial and temporal cotton yield variability differed among fields.
Gossypium hirsutumt0Verbatim
t0“Irrigated Cotton Yield in the Southern High Plains”
e1“The amount and pattern of spatial and temporal yield variability varied with the field”
Title
Spatial and Temporal Trends of Irrigated Cotton Yield in the Southern High Plains
Wenxuan Guo Agronomy 2018. doi:10.3390/agronomy8120298
Claim · model-written summary
Spatial variability was below temporal variability and frequently below 1 mm.
Zea mays subsp. mayse1Verbatim
e0“Spatial variability was less than temporal variability, and frequently less than 1 mm”
t0“crop yield”
e1“by corn and soybean phenological phase”
Title
M. R. O'Neal Purdue e-Pubs (Purdue University System) 2000
Claim · model-written summary
Sugar and stalk yield response to applied nitrogen showed high spatial and temporal variability.
Verbatim
e0“High spatial and temporal variability in sugar and stalk yield to applied N were observed.”
e1“In sugarcane”
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
Claim · model-written summary
Fields with high ECa variability showed a stronger association between spatial and temporal yield patterns and ECa.
Gossypium hirsutumt0Verbatim
t0“Irrigated Cotton Yield in the Southern High Plains”
e1“Fields with high variability in ECa exhibited a stronger association between spatial and temporal yield patterns and ECa”
Title
Spatial and Temporal Trends of Irrigated Cotton Yield in the Southern High Plains
Wenxuan Guo Agronomy 2018. doi:10.3390/agronomy8120298
Claim · model-written summary
The AYM system showed real-time temporal and spatial yield variability classification and quantification in paddy field.
Verbatim
e0“assess yield variability of paddy crop using automatic yield monitoring (AYM) system”
e5“The AYM system could show the real-time temporal and spatial variability classification and quantification in paddy field”
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
Claim · model-written summary
Yield gaps of the four legumes showed large spatial and temporal variability across the production zones.
Verbatim
e3“Large spatial and temporal variability was observed in the yield gaps of the four legumes across the production zones”
Title
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
Claim · model-written summary
The monitoring system showed real-time temporal and spatial yield variation in the paddy field.
Verbatim
e0“The AYM system could show the real-time temporal and spatial variability classification and quantification in paddy field.”
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
Claim · model-written summary
Multifractal methods characterized spatial and temporal leaf area variation and its multiscale yield relation.
Not reportedComparatorValue
Verbatim
e0“Multifractal theory can effectively characterize spatial and temporal variability of maize leaf area and multiscale relationship between leaf area and yield”
Title
Spatial variability of maize leaf area and relationship with yield
Lingling Zhang; Peng Yu; Jilong Liu; et al. Agronomy Journal 2021. doi:10.1002/agj2.20963
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.
Gossypium hirsutumt0Verbatim
t0“Irrigated Cotton Yield in the Southern High Plains”
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”
Title
Spatial and Temporal Trends of Irrigated Cotton Yield in the Southern High Plains
Wenxuan Guo Agronomy 2018. doi:10.3390/agronomy8120298
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Zea mays