Water and air temperature impacts on rice (Oryza sativa) phenology

Sharifi, Hussain; Hijmans, Robert J.; Hill, James E.

doi:10.1007/s10333-018-0640-4

Cited by 19 publications

(12 citation statements)

References 32 publications

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“…In continuously flooded systems, the varieties used in this study reach panicle initiation about 45 to 55 DAS. In systems where fields are not flooded early in the season, crop development is delayed (Sharifi, Hijmans, Hill, & Linquist, ). Using the severe dry downs implemented in this study, organic growers report that the time from planting to harvest is delayed by about 2 to 3 wk compared to when fields remain flooded.…”

Section: Resultsmentioning

confidence: 99%

Midseason application of organic fertilizer improves yield and nitrogen uptake in rice

Murray

2020

Agronomy Journal

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Organic rice (Oryza sativa L.) systems in California utilize a 30‐d drain approximately one month into the growing season to control weeds. This drain may result in N losses and reduce yields. Two field trials were initiated to evaluate whether top‐dressing fertilizer N following the drain period could mitigate this problem by increasing N uptake and yields. Treatments evaluated rates and sources of commercially available organic fertilizers varying in N content and C to N ratio. The six treatments were a control with no top‐dress fertilizer, and top‐dress applications of 12–3–0 (applied at 22, 45, and 67 kg N ha−1) and 6–3–2 and 4–1–4 applied at 45 kg N ha−1. Total plant N uptake at harvest increased linearly with increasing N rate at both locations. At both sites, grain yields increased linearly (by 15 to 22 kg ha−1 for every kg N ha−1 applied) up to 45 kg N ha−1 above which yields plateaued at one site but continued to increase linearly at the other site. Application of 12–3–0 increased yields relative to the control at both locations but yields were not significantly different between the three fertilizer sources at the 45 kg N ha−1 rate at either location. Total plant N uptake and N recovery were higher in the 12–3–0 treatment compared to the other fertilizer sources at only one location. An economic analysis indicates that at the yield responses reported here, top‐dress N fertilizer applications were economical.

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Section: Resultsmentioning

confidence: 99%

Midseason application of organic fertilizer improves yield and nitrogen uptake in rice

Murray

2020

Agronomy Journal

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“…The growth of rice is affected by air temperature and humidity (Sharifi, Hijmans, Hill, & Linquist, 2018), sunlight (Wang et al, 2019), soil temperature and soil moisture (Zhang et al, 2020), water (represented by water level, Jaafarullah, 2018) and nutrient (Cuong, Ullah, Datta, & Hanh, 2017; represented by electronic conductivity, Crisnapati, Wardana, Aryanto, & Hermawan, 2017). Therefore, this study deployed environment sensors according to the factors mentioned above to develop the SFCS and adopt NB-IoT technology for data transmitting.…”

Section: Smart Field Cultivation Server (Sfcs)mentioning

confidence: 99%

Internet of Things based Smart Irrigation Control System for Paddy Field

et al. 2021

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This study aimed to establish a water-saving irrigation techniquebased Smart Field Cultivation Server (SFCS) for paddy field irrigation by employing information and communication technologies. The development of SFCS considered the requirement on rice growth, pest development, and fieldwork management. The proposed SFCS is equipped with a solar power supply system and consisted of sensors including illumination, air temperature, air humidity, water level, soil moisture content, soil electronic conductivity, and soil temperature. Narrowband Internet of Things (NB-IoT) is used for data transmission due to the data size and transmitting frequency. A smartphone-based application (APP) has been developed for users to monitor field environment by tabular, dashboard panel, and whisker chart box, provides multiple data display ways for different purposes. Moreover, a proposal for a water-saving irrigation technique named system of probiotics rice intensification (SPRI) has been integrated into the APP. With the developed APP, farmers will receive fieldwork reminders by calendar day that water-saving irrigation may be possibly implemented. The SFCS is not only shown ability on the field monitoring but also links the gap between the fieldwork application and modern technology.

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“…The timing of the heading determined with PhenoRice was also compared to predictions with the degree-day-10 (DD10) model developed for California rice [63]. This is a temperature-driven phenology model commonly used to predict rice developmental stages [17] and where a specified thermal time accumulation is required to complete any given growth stage.…”

Section: Comparison Of Satellite Predictions With Phenology Modelmentioning

confidence: 99%

“…This is a temperature-driven phenology model commonly used to predict rice developmental stages [17] and where a specified thermal time accumulation is required to complete any given growth stage. We used DD10 parameters by Sharifi et al [63] for variety M-206 (the most widely grown variety in California during the study period ( Figure S2)). The model was run with PRISM daily minimum and maximum temperature, and our satellite-based estimations of planting dates.…”

Section: Comparison Of Satellite Predictions With Phenology Modelmentioning

confidence: 99%

Satellite-Based Observations Reveal Effects of Weather Variation on Rice Phenology

2020

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Obtaining detailed data on the spatio-temporal variation in crop phenology is critical to increasing our understanding of agro-ecosystem function, such as their response to weather variation and climate change. It is challenging to collect such data over large areas through field observations. The use of satellite remote sensing data has made phenology data collection easier, although the quality and the utility of such data to understand agro-ecosystem function have not been widely studied. Here, we evaluated satellite data-based estimates of rice phenological stages in California, USA by comparing them with survey data and with predictions by a temperature-driven phenology model. We then used the satellite data-based estimates to quantify the crop phenological response to changes in weather. We used time-series of MODIS satellite data and PhenoRice, a rule-based rice phenology detection algorithm, to determine annual planting, heading and harvest dates of paddy rice in California between 2002 and 2017. At the state level, our satellite-based estimates of rice phenology were very similar to the official survey data, particularly for planting and harvest dates (RMSE = 3.8–4.0 days). Satellite based observations were also similar to predictions by the DD10 temperature-driven phenology model. We analyzed how the timing of these phenological stages varied with concurrent temperature and precipitation over this 16-year time period. We found that planting was earlier in warm springs (−1.4 days °C−1 for mean temperature between mid-April and mid-May) and later in wet years (5.3 days 100 mm-1 for total precipitation from March to April). Higher mean temperature during the pre-heading period of the growing season advanced heading by 2.9 days °C−1 and shortened duration from planting to heading by 1.9 days °C−1. The entire growing season was reduced by 3.2 days °C−1 because of the increased temperature during the rice season. Our findings confirm that satellite data can be an effective way to estimate variations in rice phenology and can provide critical information that can be used to improve understanding of agricultural responses to weather variation.

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Water and air temperature impacts on rice (Oryza sativa) phenology

Cited by 19 publications

References 32 publications

Midseason application of organic fertilizer improves yield and nitrogen uptake in rice

Midseason application of organic fertilizer improves yield and nitrogen uptake in rice

Internet of Things based Smart Irrigation Control System for Paddy Field

Satellite-Based Observations Reveal Effects of Weather Variation on Rice Phenology

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