Responses of grain filling in spring wheat and temperate-zone rice to temperature: Similarities and differences

Kobata, Tohru; Palta, Jairo A.; Tanaka, Tomoyuki; Ohnishi, Masao; Maeda, Manabu; Koç, Müjde; Barutçular, Celaleddin

doi:10.1016/j.fcr.2017.10.017

Cited by 18 publications

(8 citation statements)

References 31 publications

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“…This surprising result might arise from the fact that high VT was always accompanied by low GT20 in Suizhou (Table ). Kobata et al . reported that too high or too low a temperature during grain filling could reduce rice grain yield.…”

Section: Discussionmentioning

confidence: 99%

“…29,58 This surprising result might arise from the fact that high VT was always accompanied by low GT20 in Suizhou (Table 4). Kobata et al 59 reported that too high or too low a temperature during grain filling could reduce rice grain yield. This also indicated why the highest yield was in SD3 and SD4 in northern and southern region of central China, respectively.…”

Section: Discussionmentioning

confidence: 99%

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Improvement and stabilization of rice production by delaying sowing date in irrigated rice system in central China

Jiang

Liu

et al. 2019

J Sci Food Agric

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BACKGROUND Climate change has posed great challenges to rice production. Temperature and solar radiation show significant variations in central China. This study aims to analyze the responses of different rice genotypes to the variations of temperature and solar radiation in central China, and to find the way of identifying the optimal sowing date to improve and stabilize rice production. For this end, four rice genotypes (two Indica and two Japonica cultivars) were cultivated at two locations under irrigation conditions in 2 years with six sowing dates. RESULTS We investigated variations of rice grain yield, resource use efficiency, average daily temperature and solar radiation during different phenological stages. Rice grain yield could increase by about 2–17% in central China. Compared with solar radiation, temperature was a more important factor affecting rice grain yield in central China. The grain yield showed great correlation with the means temperature during different phenological stages, especially during the first 20 days after heading (GT20). Besides our results demonstrated that the grain yield displayed slender variations when the GT20 was within 24.9–26.4 °C. However, GT20 was higher than 26.4 °C in most cases, which became more frequent due to climate changes. Analysis of climate change during the last 25 years revealed that the frequency of GT20 within 24.9–26.4 °C was increased by the delay of sowing date. CONCLUSION We propose that delaying sowing date to achieve the optimal GT20 (24.9 °C–26.4 °C) can be an effective strategy to stabilize and improve rice grain yield and resource use efficiency in central China. © 2019 Society of Chemical Industry

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Improvement and stabilization of rice production by delaying sowing date in irrigated rice system in central China

Jiang

Liu

et al. 2019

J Sci Food Agric

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“…China produced 17% of the world's wheat and contained 11% of the world's wheat planting area in 2015, and the NCP is the most important wheat production region in China [15,16]. In wheat production, high temperatures can decrease the rate of grain filling, reduce the number of grains per ear, or reduce the subsequent rate of increase in harvest index, resulting in smaller grain yields [17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Assessing the Response of Satellite Solar-Induced Chlorophyll Fluorescence and NDVI to Impacts of Heat Waves on Winter Wheat in the North China Plain

Xian

et al. 2020

Advances in Meteorology

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Global warming has increased the chance of concurrent extreme climate events (weather or climate events that are rare within their statistical reference distributions in a particular place, such as heat waves, floods, and droughts). Crops grow best within specific temperature intervals, and excessive heat is detrimental to the physiological processes of crops and eventually affects yield levels. Analysing historical changes in concurrent extreme high temperatures is critical to preparing for and mitigating the negative effects of climatic change. The North China Plain (NCP) is the most important wheat production area in China. In this study, the spatiotemporal variations in temperature and heat wave trends in the NCP were analysed. Furthermore, we examined the potential of solar-induced chlorophyll fluorescence (SIF) to capture the influence of heat wave impacts on wheat crops in the NCP by comparing satellite remote sensing data of SIF and normalized difference vegetation index (NDVI) and validated ground-based yield data. The results indicate that temperatures and the number of heat wave days in the study region all show increasing trends, especially daily minimum temperature, which has increased by 0.38°C per decade for the past 30 years. Spatially, the southern NCP has suffered greater increasing-temperature trends and more heat wave days than the northern region. Regarding the response of SIF and NDVI to heat waves, SIF can better capture wheat yield decline due to heat waves compared to NDVI; thus, the SIF result indicated more sensitivity to heat waves compared to NDVI.

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“…With increasing concerns about global warming, the impacts of higher temperature on rice production have become a major focus in many rice-producing countries in tropical, subtropical, and temperate regions [1][2][3][4][5][6][7][8][9]. In China, extreme high temperature in 2003 caused about 5 million tonnes of rice yield loss [10], while unusual temperatures (>40°C) in many areas of Kanto and Tokai regions of Japan resulted in 25% spikelet sterility in 2007 [11].…”

Section: Introductionmentioning

confidence: 99%

Estimating Rice Panicle Temperature with Three-Layer Model

Wang

Oue

Luo

et al. 2020

Advances in Meteorology

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Rice panicle temperature (Tp) is a key factor for studying high temperature impacts on spikelet sterility. Comparing with measuring Tp by hand, a Tp simulation model could obtain Tp data readily. The two-layer energy budget model which divides the soil layer and canopy layer was widely used to predict rice canopy temperature (Tc), but panicle existed mostly in the upper layer canopy, and we have proved that Tc was different from the upper layer canopy temperature (Tc1), and the upper layer must be separated from the whole canopy for the purpose of estimating Tp. Thus, we developed the three-layer model, contained upper canopy layer with panicle (50–100 cm), lower rice canopy layer (10–40 cm), and water surface layer (≤10 cm) to estimate Tp with general meteorological and vegetation growth data. There were two steps to estimate Tp. The first step was calculating Tc1 and lower layer canopy temperature (Tc2) by solving heat balance equations with canopy resistances. And the second step was estimating Tp with following parameters: (a) the inclination factors of leaves and panicles (F1, F2, and Fp) which were decided by fitting the calculated transmissivity of downward solar radiation (TDSR) to the measured TDSR, (b) the aerodynamic resistance between the panicle and atmosphere (rap) denoted by wind speed, (c) the panicle resistance for transpiration (rp) denoted by days after heading, and (d) air temperature and humidity at the panicle’s height (Tac1 and eac1) calculated from the resistances of the pathways of sensible and latent heat fluxes in accordance with Ohm’s law. The model simulated fairly well the Tc1, Tc2, and Tp with root mean square errors (RMSEs) of 0.76°C, 0.75°C, and 0.81°C, respectively, where RMSE of measured Tp and predicted Tp by integrated micrometeorology model for panicle and canopy temperature (IM2PACT) including two-layer model was 1.27°C. This model was validated well by two other rice cultivars, and thus, it demonstrated the three-layer model was a new feasible way to estimate Tp.

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Responses of grain filling in spring wheat and temperate-zone rice to temperature: Similarities and differences

Cited by 18 publications

References 31 publications

Improvement and stabilization of rice production by delaying sowing date in irrigated rice system in central China

Improvement and stabilization of rice production by delaying sowing date in irrigated rice system in central China

Assessing the Response of Satellite Solar-Induced Chlorophyll Fluorescence and NDVI to Impacts of Heat Waves on Winter Wheat in the North China Plain

Estimating Rice Panicle Temperature with Three-Layer Model

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