Nutritional and developmental influences on components of rice crop light use efficiency

Wang, Xue; Lindner, Steve; Nay-Htoon, Bhone; Dubbert, Maren; Otieno, Dennis; Ko, Jonghan; Muraoka, Hiroyuki; Werner, Christiane; Tenhunen, John; Harley, P. C.

doi:10.1016/j.agrformet.2016.03.018

Cited by 27 publications

(16 citation statements)

References 61 publications

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“…In Eq. (6), fAPAR max is the maximum fraction of absorbed photosynthetically active radiation, NDVI max is the maximum NDVI of the fAPAR-NDVI relationship, NDVI min is the minimum NDVI, and ε is a coefficient for green crop canopies, referring to Table 1 and Xue et al (2016a). a 4 and b 4 in Eq.…”

Section: Data Assimilationmentioning

confidence: 99%

“…Incident PAR inside the transparent chamber was measured with a LI-190 quantum sensor (LI-COR, Lincoln, NB, USA). GPP estimation was derived using the equation where R eco rates at times when NEE rates were measured were determined from an exponential regression with respect to chamber air temperature (T air ) (Xue et al, 2016a). A classical hyperbolic light response function (Eq.…”

Section: Field Measurements Of Meteorological Factors and Swcmentioning

confidence: 99%

“…The normalized difference vegetation index (NDVI) was a product of differences of reflectance in the field of red (the central bandwidth of 660.9 nm) and near infrared (the central bandwidth of 813.2 nm). Estimations of ground-based NDVI were made on the days of canopy gas exchange measurements (Xue et al, 2016a).…”

Section: Field Measurements Of Canopy Reflectancementioning

confidence: 99%

“…As leaves are the small and basic units that constitute rice canopy volume, their functioning could change with canopy development and changing habitat conditions (Xue et al, 2016a, b), contributing to fluctuations in strength of seasonal canopy photosynthesis.…”

Section: Introductionmentioning

confidence: 99%

“…The first posits that the temporal course of canopy carbon gain capacity is driven primarily by leaf area index (LAI) development and solar radiation intensity at the reproductive stage (Xue et al, 2016a(Xue et al, , 2017. Canopy leaf physiology is a primary factor that determines efficient use of canopy light use and therefore carbon gain capacity (Sinclair and Horie, 1989).…”

Section: Introductionmentioning

confidence: 99%

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Linking canopy reflectance to crop structure and photosynthesis to capture and interpret spatiotemporal dimensions of per-field photosynthetic productivity

Wang

Jeong

et al. 2017

Biogeosciences

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Abstract. Nitrogen and water availability alter canopy structure and physiology, and thus crop growth, yielding large impacts on ecosystem-regulating/production provisions. However, to date, explicitly quantifying such impacts remains challenging partially due to lack of adequate methodology to capture spatial dimensions of ecosystem changes associated with nitrogen and water effects. A data fitting, where close-range remote-sensing measurements of vegetation indices derived from a handheld instrument and an unmanned aerial vehicle (UAV) system are linked to in situ leaf and canopy photosynthetic traits, was applied to capture and interpret inter-and intra-field variations in gross primary productivity (GPP) in lowland rice grown under flooded conditions (paddy rice, PD) subject to three nitrogen application rates and under rainfed conditions (RF) in an East Asian monsoon region of South Korea. Spatial variations (SVs) in both GPP and light use efficiency (LUE cabs ) early in the growing season were enlarged by nitrogen addition. The nutritional effects narrowed over time. A shift in planting culture from flooded to rainfed conditions strengthened SVs in GPP and LUE cabs . Intervention of prolonged drought late in the growing season dramatically intensified SVs that were supposed to seasonally decrease. Nevertheless, nitrogen addition effects on SV of LUE cabs at the early growth stage made PD fields exert greater SVs than RF fields. SVs of GPP across PD and RF rice fields were likely related to leaf area index (LAI) development less than to LUE cabs , while numerical analysis suggested that considering strength in LUE cabs and its spatial variation for the same crop type tends to be vital for better evaluation in landscape/regional patterns of ecosystem photosynthetic productivity at critical phenology stages.

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Section: Data Assimilationmentioning

confidence: 99%

Section: Field Measurements Of Meteorological Factors and Swcmentioning

confidence: 99%

Section: Field Measurements Of Canopy Reflectancementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Linking canopy reflectance to crop structure and photosynthesis to capture and interpret spatiotemporal dimensions of per-field photosynthetic productivity

Wang

Jeong

et al. 2017

Biogeosciences

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Effects of stone pine (Pinus pinea L.) plantation spacing on initial growth and conelet entry into production

Loewe-Muñoz¹,

Balzarini

Río³

et al. 2018

New Forests

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Spatiotemporally variable incident light, leaf photosynthesis, and yield across a greenhouse: fine-scale hemispherical photography and a photosynthesis model

et al. 2022

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Although greenhouse agriculture can generate high crop yields, they vary due to spatiotemporal differences in incident light and photosynthesis. To elucidate these dynamics, multipoint analysis of hemispheric images and a photosynthesis model were used to visualize the spatiotemporal distribution of photosynthetic photon flux density (PPFD) and leaf photosynthetic rate (A) and compared these with strawberry fruit yield in a greenhouse. This method enabled successful estimation of spatiotemporal variability in PPFD and A with relative root mean square errors of 4.4% and 11.0%, respectively. PPFD, captured at ca. 2 m resolution, varied diurnally and seasonally based on sun position and external light intensity. A showed less spatial variability, because it is reduced by physical and physiological mechanisms in the leaves at excessive leaf temperatures and becomes saturated at high PPFD. Yield spatial variability was better explained by A than by PPFD. The association between A and yield weakened over the cultivation period (R2 declined from 46% in winter to 12% in spring), thus suggesting that, over the cultivation period, factors such as photoassimilate availability replaced A as the primary limiting factor. The proposed method can be directly applied to other types of greenhouses, and the findings may facilitate spatiotemporal optimization in crop production, improving precision greenhouse agriculture.

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Nutritional and developmental influences on components of rice crop light use efficiency

Cited by 27 publications

References 61 publications

Linking canopy reflectance to crop structure and photosynthesis to capture and interpret spatiotemporal dimensions of per-field photosynthetic productivity

Linking canopy reflectance to crop structure and photosynthesis to capture and interpret spatiotemporal dimensions of per-field photosynthetic productivity

Effects of stone pine (Pinus pinea L.) plantation spacing on initial growth and conelet entry into production

Spatiotemporally variable incident light, leaf photosynthesis, and yield across a greenhouse: fine-scale hemispherical photography and a photosynthesis model

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