Crop water use under Swiss pedoclimatic conditions – Evaluation of lysimeter data covering a seven-year period

Oberholzer, Simon; Prasuhn, Volker; Hund, Andreas

doi:10.1016/j.fcr.2017.06.003

Cited by 20 publications

(16 citation statements)

References 54 publications

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“…Additionally, compared with the eddy covariance and remote sensing methods, ET c estimates by a network of soil moisture sensors were considered as viable source of ground truth ET c data that were convincing both in theory and practice [34]. Previous studies have shown that ET c determined by the neutron probe method can represent lysimetric ET c , however, it wasn't able to calculate ET c on a daily or sub-daily scale due to a lack of automatic measurement [35,36]. This shortcoming can be overcome by Insentek sensors.…”

Section: Advantage and Disadvantage Of Lysimetry And Insentek Methodsmentioning

confidence: 99%

Insentek Sensor: An Alternative to Estimate Daily Crop Evapotranspiration for Maize Plants

Qin

Ning

Liu

et al. 2018

Water

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Estimation of ground-truth daily evapotranspiration (ETc) is very useful for developing sustainable water resource strategies, particularly in the North China Plain (NCP) with limited water supplies. Weighing lysimetry is a well-known approach for measuring actual ETc. Here, we introduced an alternative to lysimetry for ETc determination using Insentek sensors. A comparison experiment was conducted for maize plants at Xuchang Irrigation Experiment Station, in the NCP, in 2015 and 2016. Insentek ETc was evaluated using data on clear days and rainy days independently. We found that daily ETc increased gradually from VE (emergence) to VT (tasseling) stages, peaked at the R1 (silking) stage with the highest value of 7.8 mm·d−1, and then declined until maturity. On average, cumulative total of lysimetric ETc was 19% higher than that of Insentek ETc. The major depth of soil water extraction might be 60 cm for maize plants on lysimeters according to soil water depletion depth monitored by Insentek sensors. Daily ETc significantly related to soil water content (SWC) in topsoil (0–30 cm) in an exponential function (coefficients of determination (R2) = 0.32–0.53), and to precipitation (Pre) in a power function (R2 = 0.84–0.87). The combined SWC (0–30 cm)–Pre–ETc model may offer significant potential for accurate estimation of maize ETc in semi-humid environment of the NCP.

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Section: Advantage and Disadvantage Of Lysimetry And Insentek Methodsmentioning

confidence: 99%

Insentek Sensor: An Alternative to Estimate Daily Crop Evapotranspiration for Maize Plants

Qin

Ning

Liu

et al. 2018

Water

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“…Low CTs have been associated with a 30% increased yield an increased water uptake by deeper roots (Lopes and Reynolds, 2010), when measured during grain filling. Even in regions with ample rainfall, such as the Swiss central plateau, heat and drought avoidance mechanisms connected to adjusted root system architecture may play an important role in extreme years (Oberholzer et al, 2017), projected to increase in frequency and severity in the near future. The regular assessment of CT during the breeding process holds great promise for an indirect selection of varieties with optimized rooting behaviour.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Multi-Image Unmanned Aerial Vehicle Based High-Throughput Field Phenotyping of Canopy Temperature

et al. 2020

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Canopy temperature (CT) has been related to water-use and yield formation in crops. However, constantly (e.g., sun illumination angle, ambient temperature) as well as rapidly (e.g., clouds) changing environmental conditions make it difficult to compare measurements taken even at short time intervals. This poses a great challenge for highthroughput field phenotyping (HTFP). The aim of this study was to i) set up a workflow for unmanned aerial vehicles (UAV) based HTFP of CT, ii) investigate different data processing procedures to combine information from multiple images into orthomosaics, iii) investigate the repeatability of the resulting CT by means of heritability, and iv) investigate the optimal timing for thermography measurements. Additionally, the approach was v) compared with other methods for HTFP of CT. The study was carried out in a winter wheat field trial with 354 genotypes planted in two replications in a temperate climate, where a UAV captured CT in a time series of 24 flights during 6 weeks of the grain-filling phase. Custom-made thermal ground control points enabled accurate georeferencing of the data. The generated thermal orthomosaics had a high spatial accuracy (mean ground sampling distance of 5.03 cm/pixel) and position accuracy [mean root-mean-square deviation (RMSE) = 4.79 cm] over all time points. An analysis on the impact of the measurement geometry revealed a gradient of apparent CT in parallel to the principle plane of the sun and a hotspot around nadir. Averaging information from all available images (and all measurement geometries) for an area of interest provided the best results by means of heritability. Correcting for spatial in-field heterogeneity as well as slight environmental changes during the measurements were performed with the R package SpATS. CT heritability ranged from 0.36 to 0.74. Highest heritability values were found in the early afternoon. Since senescence was found to influence the results, it is recommended to measure CT in wheat after flowering and before the onset of senescence. Overall, lowaltitude and high-resolution remote sensing proved suitable to assess the CT of crop

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“…For example, monthly precipitation between May and August in the Swiss plateau is above 100 mm (MeteoSchweiz 2016), thus usually supplies enough water in an average year. Under such conditions, crops access more than 50% of their water from the top 0.3 m of the soil (Oberholzer et al 2017). However, in dry years water extraction depth increased down to 0.85 m (Oberholzer et al 2017).…”

Section: Introductionmentioning

confidence: 99%

“…Under such conditions, crops access more than 50% of their water from the top 0.3 m of the soil (Oberholzer et al 2017). However, in dry years water extraction depth increased down to 0.85 m (Oberholzer et al 2017). Therefore, efficient water uptake from deeper soil layers is desirable, even under environments with ample precipitation in average years.…”

Section: Introductionmentioning

confidence: 99%

Modern wheat semi-dwarfs root deep on demand: response of rooting depth to drought in a set of Swiss era wheats covering 100 years of breeding

et al. 2019

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Breeding for enhanced rooting depth and root biomass in deeper soil layers is a promising strategy to adapt wheat (Triticum aestivum L.) plants to drought periods. We evaluated (1) the extent of indirect selection of root traits during the last century of wheat breeding and (2) how it affected the variety performance under well-watered conditions compared to gradually developing drought stress. Fourteen bread wheat genotypes covering 100 years of Swiss wheat breeding were grown in 1.6 m tall columns in the greenhouse under well-watered and drought conditions. Root parameters, such as rooting depth and root biomass and above ground parameters were determined at flowering and maturity. Rooting depth showed a negative trend in response to year of release under well-watered conditions but not under early water stress. Modern varieties responded with enhanced root allocation to deeper soil layers. Consequently, rooting depth was positively correlated with plant height at well-watered conditions but not under early water stress. Considerable genetic variation for rooting depth among modern varieties indicates that the trait is selectable without strong alteration of plant height. We conclude that modern varieties adjusted rooting depth to water demand.

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Crop water use under Swiss pedoclimatic conditions – Evaluation of lysimeter data covering a seven-year period

Cited by 20 publications

References 54 publications

Insentek Sensor: An Alternative to Estimate Daily Crop Evapotranspiration for Maize Plants

Insentek Sensor: An Alternative to Estimate Daily Crop Evapotranspiration for Maize Plants

Assessment of Multi-Image Unmanned Aerial Vehicle Based High-Throughput Field Phenotyping of Canopy Temperature

Modern wheat semi-dwarfs root deep on demand: response of rooting depth to drought in a set of Swiss era wheats covering 100 years of breeding

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