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The Quantitative Relationships Between Plant Population And Crop Yield
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“The expected grain yield response to plant density in winter wheat (Triticum aestivum L.) follows a diminishing returns function.”
From A Bayesian framework to model variance of grain yield response to plant density (2025) · cites this paper as [48]
In the citing paper
“The mathematical equation of expected yield response to plant density can vary from quadratic [26, 30], quadratic-plateau [48], linear-plateau [4, 28] or exponential rise to maximum [27, 39, 48].”
From A Bayesian framework to model variance of grain yield response to plant density (2025) · cites this paper as [48]
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BackgroundRadiation Use Efficiency and Biomass Production in Soybean at Different Plant Population Densities
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“Plant population density and its components of inter- and intra-row spacing are important in determining yield and the practicability of both weed control and harvesting (Holliday, 1960; Willey and Heath, 1969; Ratkowsky, 1983).”
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“These parameters result from the reasonably hyperbolic relation between sole crop yields and sole crop plant densities (Willey and Heath 1969) depicted in Figure 1d and are a direct consequence of net intra-specific interactions.”
BackgroundPlant Population Effects on Fibre Hemp Morphology and Production
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“cate that stem differences were caused by different growing conditions in those two years (Willey and Heath, 1969).”
BackgroundMethodA model of interference within plant monocultures
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“Willey and Heath (1969) suggested that in the absence of weeds, the response of crop yield to increased crop density was quite variable.”
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“Italian ryegrass density was compared to Italian ryegrass biomass using a reciprocal linear regression model (13).”
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Craufurd, P. (2000) · Experimental Agriculture · doi:10.1017/s0014479700003124 · Cited by 29
“Relations between dry matter yields, both biomass (BY) and seed (SY), and plant density (D) can be analysed by regressing the reciprocal of BY and SY per plant on plant density (Willey and Heath, 1969; Craufurd, 1996) 1/BY or 1/SY= a+ b*D (1) where a and b are constants.”
BackgroundCaussanel, J. P. (1989) · Agronomie · doi:10.1051/agro:19890301 · Cited by 29
Scaife, M. A., & Jones, D. A. C. (1976) · The Journal of Agricultural Science · doi:10.1017/s002185960006500x · Cited by 29
Simulation of multiple cropping systems with CropSys
Caldwell, R. M., & Hansen, J. (1993) · Systems approaches for sustainable agricultural development · doi:10.1007/978-94-011-2840-7_24 · Cited by 28
Metadata
- Authors
- Willey, R. W., & Heath, S. B.
- Affiliations
- University of Reading (GB)
- Venue
- Advances in Agronomy
- Publisher
- Elsevier
- Published
- 1969
- Pages
- 281-321
- ISSN
- 0065-2113 (ISSN-L)
- OpenAlex
- W1432766941
- Cited by
- 310
- References
- 35
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 8 · 2023: 8 · 2022: 3 · 2021: 5 · 2020: 5 · 2019: 3 · 2018: 8 · 2017: 5 · 2016: 6 · 2015: 3 · 2014: 7 · 2013: 4 · 2012: 9
- FWCI
- 6.25
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Advances in agronomy (publishedVersion)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Crop Yield and Soil Fertility
- Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Agriculture, Soil, Plant Science
- Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Agronomic Practices and Intercropping Systems
- Keywords
- plant population, crop yield, plant density, yield-density relationship, competition (biology), mathematical model, reciprocal equations, yield prediction, crop density
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