Quantification of border effect on grain yield measurement of hybrid rice

Wang, Kai; Zhou, Hongying; Wang, Bangju; Jian, Zaiping; Wang, Fei; Huang, Jikun; Cui, Kehui; Peng, Shaobing

doi:10.1016/j.fcr.2012.11.012

Cited by 33 publications

(29 citation statements)

References 8 publications

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“…Edge-biased crop development has been observed and reported for almost 100 years in winter wheat fields, where wheat rows along the borders showed higher yields than those in the center (Arny 1922). Over the years, rice (Wang et al 2013), maize and climbing beans (Davis et al 2008;Tiegu et al 2012), wheat (Wu and Li 2002;Bulinski and Niemczyk 2015), millets, Sudan grass (Drapala and Johnson 1961), soybean (Teng et al 2008), cotton (Luckett et al 1992), rapeseed (Buliński and Niemczyk 2010), carrots, cabbages, and onions (Peach et al 2000) have been shown to display edge-biased distribution of growth. In rice, the increase in yield of border rows compared to central portions of fields or plots ranged from 63 to 68% (Bulinski and Niemczyk 2015).…”

Section: Plant Qualitymentioning

confidence: 95%

“…The major factors accounting for such edge-biased growth difference have been attributed to competition for nutrients and light among crop plants (Peach et al 2000). The body of research documenting edge-biased distributions of crop development often regards the phenomenon as undesirable and seeks ways to curb the effect to avoid overestimation in yield calculations (Wang et al 2013;Miller and Mountier 1955;Arny 1922). However, from an entomological perspective, the research focus would be to study how withinfield vegetational heterogeneity contributes to the edge-biased distribution of insects in agricultural systems.…”

Section: Plant Qualitymentioning

confidence: 99%

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Edge-biased distributions of insects. A review

Nguyen

Nansen

2018

Agron. Sustain. Dev.

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Spatial ecology includes research into factors responsible for observed distribution patterns of organisms. Moreover, the spatial distribution of an animal at a given spatial scale and in a given landscape may provide valuable insight into its host preference, fitness, evolutionary adaptation potential, and response to resource limitations. In agro-ecology, in-depth understanding of spatial distributions of insects is of particular importance when the goals are to (1) promote establishment and persistence of certain food webs, (2) maximize performance of pollinators and natural enemies, and (3) develop precision-targeted monitoring and detection of emerging outbreaks of herbivorous pests. In this article, we review and discuss a spatial phenomenon that is widespread among insect species across agricultural systems and across spatial scales-they tend to show "edge-biased distributions" (spatial distribution patterns show distinct "edge effects"). In the conservation and biodiversity literature, this phenomenon has been studied and reviewed intensively in the context of how landscape fragmentation affects species diversity. However, possible explanations of, and also implications of, edge-biased distributions of insects in agricultural systems have not received the same attention. Our review suggests that (1) mathematical modeling approaches can partially explain edge-biased distributions and (2) abiotic factors, crop vegetation traits, and environmental parameters are factors that are likely responsible for this phenomenon. However, we argue that more research, especially experimental research, is needed to increase the current understanding of how and why edge-biased distributions of insects are so widespread. We argue that the fact that many insect pests show edge-biased distribution patterns may be used to optimize both pest monitoring practices and precision targeting of pesticide applications and releases of natural enemies.

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Section: Plant Qualitymentioning

confidence: 95%

Section: Plant Qualitymentioning

confidence: 99%

Edge-biased distributions of insects. A review

Nguyen

Nansen

2018

Agron. Sustain. Dev.

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“…Generally, the outermost row of plants had significantly higher yields than the inner plants owing to advantageous environmental factors such as more solar energy, good ventilation and less competition for nutrients. This phenomenon has been reported in rice and other crops Gomez and De Datta, 1971;Austin and Blackwell, 1980;Sato and Takahashi, 1983;Wang et al, 2013 , and the amount of yield difference due to the border effect depends on the crop variety, planting density, and field size and shape e.g. Kim and Yang, 1984;Wang et al, 2013 . With regard to plant heights, previous studies have revealed that the border effect is not very pronounced, even when yield increases are high.…”

Section: The Border Effectmentioning

confidence: 95%

“…This phenomenon has been reported in rice and other crops Gomez and De Datta, 1971;Austin and Blackwell, 1980;Sato and Takahashi, 1983;Wang et al, 2013 , and the amount of yield difference due to the border effect depends on the crop variety, planting density, and field size and shape e.g. Kim and Yang, 1984;Wang et al, 2013 . With regard to plant heights, previous studies have revealed that the border effect is not very pronounced, even when yield increases are high. For example, Sato and Takahashi 1983 stated that in a rice field with a planting density of 11 plants per m 2 , the plant heights in the outermost row were 97 to 99 of those in the inner row, though the relative percentages for aboveground biomass were 129 to 177 .…”

Section: The Border Effectmentioning

confidence: 95%

Precise and continuous measurement of plant heights in an agricultural field using a time-lapse camera

Mano

2017

J. Agric. Meteorol.

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Plant height is an important trait linked to yield potential and phenotyping; hence, a method for measuring plant height with sufficient temporal and spatial resolutions is required. Furthermore, a low-cost and easy-to-use method is desirable for practical application in agricultural fields. In previous studies, methods for measuring plant height have only fulfilled one or a few of these requirements, and there have been very few studies that have attempted to fulfill all the above requirements in one method. The current study proposes a low-cost plant height measurement system using a commercial time-lapse camera to capture seasonal and year-to-year variations in plant height that represent plant heights at the site scale. The system's performance was tested in a rice field in Japan for two growing seasons. Plant heights were determined to the nearest 1-cm in height from the camera images by referencing a scale bar that was erected next to the four target plants. The obtained plant heights were corrected for vertical distortion referred to as the 'displacement effect' in the main text , and those were compared with the direct height measurements for each the target plant and site-scaled plant heights that were averaged from 10 samples. For both cases, good agreement between the captured and referenced plant heights was obtained. The system was able to reflect detailed seasonal variations in the plant heights including the maximum heights and the times at which they occurred as well as year-to-year differences. Consequently, the developed system appears to fulfill all the necessary requirements for practical measurement of plant height on-site in agricultural fields.

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“…The border effect expressed by various treatments shows that (Table 4) it ranges from 21.9 to 69.6 %. Border effect to the tune of 62to 142% in hybrid rice was reported by Wang et al (2013).…”

Section: Border Effect Of Different Treatmentsmentioning

confidence: 99%

Modification of Planting Geometry to Exploit Border Effect for Yield Improvement in Rice

al.¹

2017

IJASR

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Quantification of border effect on grain yield measurement of hybrid rice

Cited by 33 publications

References 8 publications

Edge-biased distributions of insects. A review

Edge-biased distributions of insects. A review

Precise and continuous measurement of plant heights in an agricultural field using a time-lapse camera

Modification of Planting Geometry to Exploit Border Effect for Yield Improvement in Rice

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