PAR Interception and Utilization in Different Maize and Soybean Intercropping Patterns

Liu, Xin; Rahman, Tanzeelur; Yang, Feng; Song, Chun; Yong, Taiwen; Liu, Jiang; Cui-ying, Zhang; Yang, Wenyu

doi:10.1371/journal.pone.0169218

Cited by 62 publications

(64 citation statements)

References 22 publications

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“…Several meteorological factors are reported to show some effects on RUE, such as air temperature, and vapour pressure deficit [38]. The RUE value of 1.65 g MJ −1 estimated in the current study agrees to the value reported by Liu et al [39] who found an RUE range of 1.48-2.29 g MJ −1 for soybean cultivated as an intercrop and monoculture with a population density of 14.2 m −2 .…”

Section: Discussionsupporting

confidence: 90%

Assessment of a Proximal Sensing-integrated Crop Model for Simulation of Soybean Growth and Yield

Shawon

et al. 2020

Remote Sensing

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A remote sensing-integrated crop model (RSCM) able to simulate crop growth processes using proximal or remote sensing data was formulated for simulation of soybean through estimating parameters required for modelling. The RSCM-soybean was then evaluated for its capability of simulating leaf area index (LAI), above-ground dry mass (AGDM), and yield, utilising the proximally sensed data integration into the modelling procedure. Field experiments were performed at two sites, one in 2017 and 2018 at Chonnam National University, Gwangju, and the other in 2017 at Jonnam Agricultural Research and Extension Services in Naju, Chonnam province, South Korea. The estimated parameters of radiation use efficiency, light extinction coefficient, and specific leaf area were 1.65 g MJ−1, 0.71, and 0.017 m2 g−1, respectively. Simulated LAI and AGDM values agreed with the measured values with significant model efficiencies in both calibration and validation, meaning that the proximal sensing data were effectively integrated into the crop model. The RSCM reproduced soybean yields in significant agreement with the measured yields in the model assessment. The study results demonstrate that the well-calibrated RSCM-soybean scheme can reproduce soybean growth and yield using simple input requirement and proximal sensing data. RSCM-soybean is easy to use and applicable to various soybean monitoring projects.

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Section: Discussionsupporting

confidence: 90%

Assessment of a Proximal Sensing-integrated Crop Model for Simulation of Soybean Growth and Yield

Shawon

et al. 2020

Remote Sensing

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“…Sesame is an oilseed C3 plant that features lower photosynthetic activity than C4 crops [40]. An increase in LAI can improve light use efficiency and seed yield by increasing the photosynthetic rate [41]. Moreover, photosynthesis rate (Pn) is affected by S fertilization and its deficiency reduce the Pn in oilseed crops [42].…”

Section: Discussionmentioning

confidence: 99%

Effect of Sulphur Application on Photosynthesis and Biomass Accumulation of Sesame Varieties under Rainfed Conditions

et al. 2018

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Oilseeds yield response to sulphur (S) has been well investigated but the dynamics of total biomass accumulation (TBA) and partitioning by sesame plants in response to S are not well understood. This study was initiated to investigate the effects of S on sesame, in which four sesame varieties V1, SG-27; V2, SG-30; V3, SG-36; V4, SG-51 and four S treatments T1, 20; T2, 30; T3, 40; T4, 50 kg ha−1 were used. Results revealed that the leaf area index and photosynthetic rate of sesame varieties were significantly higher under T3 with V3. Similarly, S fertilization considerably increased the TBA and maximum TBA was reached at late-flowering with V3 in T3. Relative to T1, plants in T3 had 33 and 23% higher capsule and seed biomass, respectively. Furthermore, total S accumulation and distribution in different plant organs changed with growth stage, at pre-flowering and mid-flowering stage maximum S was found in the stem, whereas at late-flowering and full-maturity stage highest S was recorded in reproductive parts. These results implied that S fertilizers should be applied to agricultural fields to improve oilseed production and by selecting the appropriate and area-specific genotype we can increase sesame seed yield under rainfed conditions.

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“…where, Y biomass was the aboveground biomass (g/m 2 ), I 0 was the amount of daily‐incident photosynthetically active radiation (PAR) (MJ/m 2 ). In order to change the total solar radiations to PAR, the data of daily total solar radiation were multiplied by 0.5 (Liu, Rahman, Yang, et al, ). The F showed the intercepted PAR fraction of the relay‐cropped soybean or maize.…”

Section: Methodsmentioning

confidence: 99%

“…Temperature and different row configuration in intercropping systems have been confirmed as the contributing factors to radiation use efficiency change (Mahallati, Koocheki, Mondani, Feizi, & Amirmoradi, ; Sharpley, ). In addition, changes in crop ecologies or row configuration in intercropping systems significantly influence the intercrops photosynthesis and dry matter which have direct effect on radiation use efficiency (Liu, Rahman, Yang, et al, ). In relay‐intercropping system, soybean crop is the late sown crop (Echarte et al, ) and different planting arrangements changed the micro climate of soybean plants especially light (Awal, Koshi, & Ikeda, ), especially when the distance between maize and soybean rows reduced (Yang et al, ).…”

Section: Introductionmentioning

confidence: 99%

Narrow‐wide‐row planting pattern increases the radiation use efficiency and seed yield of intercrop species in relay‐intercropping system

Raza

Ling

Werf

et al. 2019

Food and Energy Security

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Planting arrangements affect radiation use efficiency (RUE) and competitiveness of intercrop species in intercropping systems. Here, we reveal that narrow‐wide‐row planting arrangement in maize‐soybean relay‐intercropping system increases the dry matter and competitiveness of soybean, increased the RUE of maize and soybean, and compensates the yield loss of maize by substantially increasing the yield of soybean. In this field study, maize was planted with soybean in different planting arrangements (P1, 20:180, P2, 40:160; P3, 60:140, and P4, 80:120) of relay intercropping, all the relay‐intercropping treatments were compared with sole crops of maize (SM) and soybean (SS). Results showed that P1 improved the total RUE 3.26 g/MJ (maize RUE + soybean RUE) of maize and soybean in relay‐intercropping system. Compared to P4, treatment P1 increased the soybean competition ratio (CR) values (by 55%) but reduced the maize CR values (by 29%), which in turn significantly improved the yield of soybean by maintaining the maize yield. Generally, in P1, soybean produced 82% of SS yield, and maize produced 88% of SM yield, and it achieved the land equivalent ratio of 1.7. These results suggest that by maintaining the appropriate planting distances between maize and soybean we can improve the competitiveness and yield of intercrop species in relay‐intercropping system.

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PAR Interception and Utilization in Different Maize and Soybean Intercropping Patterns

Cited by 62 publications

References 22 publications

Assessment of a Proximal Sensing-integrated Crop Model for Simulation of Soybean Growth and Yield

Assessment of a Proximal Sensing-integrated Crop Model for Simulation of Soybean Growth and Yield

Effect of Sulphur Application on Photosynthesis and Biomass Accumulation of Sesame Varieties under Rainfed Conditions

Narrow‐wide‐row planting pattern increases the radiation use efficiency and seed yield of intercrop species in relay‐intercropping system

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