2022
DOI: 10.3389/fpls.2022.828252
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Analyzing the Impact of Greenhouse Planting Strategy and Plant Architecture on Tomato Plant Physiology and Estimated Dry Matter

Abstract: Determine the level of significance of planting strategy and plant architecture and how they affect plant physiology and dry matter accumulation within greenhouses is essential to actual greenhouse plant management and breeding. We thus analyzed four planting strategies (plant spacing, furrow distance, row orientation, planting pattern) and eight different plant architectural traits (internode length, leaf azimuth angle, leaf elevation angle, leaf length, leaflet curve, leaflet elevation, leaflet number/area r… Show more

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Cited by 4 publications
(4 citation statements)
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References 45 publications
(59 reference statements)
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“…The experiment showed that south-to-north light interception decreased and more plant variation in east-west cultivation (EW-1.8 m) than in north-south cultivation (NS-1.4 m and NS-1.8 m) (Figure 7) and that the highest population light interception was in EW-1.8m treatment rather than in the NS-1.4m and NS-1.8m treatments (Figure 8). Zhang et al [25] suggested that light interception in the east-west-oriented tomato population was higher than that in the north-south-oriented population but that the light uniformity in the population was weaker, which was similar to our results. Van der Meer et al [24] proposed that in east-west-oriented cultivation, since most of the light was intercepted by the leaves in the middle part of the tomato plant canopy, the pruning of these leaves could increase the light uniformity within the population by increasing the light penetration.…”
Section: Fruit Quality and Yieldsupporting
confidence: 92%
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“…The experiment showed that south-to-north light interception decreased and more plant variation in east-west cultivation (EW-1.8 m) than in north-south cultivation (NS-1.4 m and NS-1.8 m) (Figure 7) and that the highest population light interception was in EW-1.8m treatment rather than in the NS-1.4m and NS-1.8m treatments (Figure 8). Zhang et al [25] suggested that light interception in the east-west-oriented tomato population was higher than that in the north-south-oriented population but that the light uniformity in the population was weaker, which was similar to our results. Van der Meer et al [24] proposed that in east-west-oriented cultivation, since most of the light was intercepted by the leaves in the middle part of the tomato plant canopy, the pruning of these leaves could increase the light uniformity within the population by increasing the light penetration.…”
Section: Fruit Quality and Yieldsupporting
confidence: 92%
“…Van der Meer et al [24] analyzed the impact of planting orientation on tomatoes in a Venlo greenhouse and found that east-west row planting affected light interception uniformity but not photosynthesis. Zhang et al [25] discussed the effects of planting density and row orientation on tomatoes grown in solar greenhouses and determined that plant spacing had the highest impact on light interception, with east-west planting enhancing population light interception. Sarlikioti et al [26] concluded that higher solar altitude angles in summer resulted in light being more perpendicular to the plant canopy, thus leading to increased light penetration and reduced interception.…”
Section: Introductionmentioning
confidence: 99%
“…A comprehensive analysis of major trends in the evolution of planting strategies suitable for Chinese solar greenhouses was conducted by [37]. Despite this, a planting strategy specifically optimized for the cultivation conditions of Chinese solar greenhouses in the northern region remains unidentified.…”
Section: Changing From the Widely Used N-s Orientation To The E-w Ori...mentioning
confidence: 99%
“…Apple (Malus × domestica) is suitable for exploring scionrootstock interactions owing to its high economic value, ease of cloning, diverse genetic resources, successful application of interstocks and rootstocks, and development of 3D architecture-based models (Costes et al, 2008;Yang et al, 2021). Numerous 3D architecture-based plant models have been established to study complex relationships among tree architecture, canopy microclimate, transpiration, and carbon assimilation and allocation to screen the relative contribution of architectural and leaf functional traits to select 'optimized' combinations by conducting virtual experiments (Chen et al, 2014;Picheny et al, 2017;Zhu et al, 2019;Zhang et al, 2022b). However, rule-based plant architecture simulation is time-consuming and recreation of the large tree structure in the field is difficult (Zhu et al, 2019).…”
Section: Introductionmentioning
confidence: 99%