Hyperspectral Features of Winter Wheat after Frost Stress at Jointing Stage

2008 ◽  
Vol 34 (5) ◽  
pp. 831-837 ◽  
Author(s):  
Zhang-Cheng LI
2017 ◽  
Vol 1 (1) ◽  
pp. 38 ◽  
Author(s):  
Mohamad Hesam Shahrajabian ◽  
Ali Soleymani ◽  
Peter Oko Ogbaji ◽  
Xuzhang Xue

<p><em>The availability of water plays an important role in plant growth, yield and quality of crops In 2012-2013 experiment, Irrigation treatments were (1): Irrigation before sowing (60 Liter), (2): Irrigation before sowing (30 Liter) + before freezing (30 Liter); (3): before sowing (30 Liter) + before freezing (30 Liter) + in the beginning of erecting stage (60 Liter) + at flowering stage (60 Liter); (4): before sowing (30 Liter) + before freezing (30 Liter) + at booting stage (60 Liter) + at flowering stage (60 Liter). The weighing lysimeter system is located in National Precision Agriculture Demonstration Station in Xiaotangshang Town of Beijing. The maximum evapotranspiration value in March, April and May was obtained for lysimeter 10 (I2) (558.70 kg), lysimeter 11 (I3) (467.25 kg), and lysimeter 10 (I2) (488.68 kg), respectively. Knowledge about changes of soil water changes during successive growing seasons from planting to final ripening is a necessary tool for an effective planning of irrigation programs, in order to improve both quality and quantity of crop. From October to June, evapo-transpiration trends increased steadily, especially in last four months, in which the lysimeter fields were covered by winter wheat completely. In 2013-2014 experiment, Irrigation treatments were (1) no irrigantion, (2) irrigation only at jointing stage (60L), (3) irrigation at jointing (60L) and flowering stage (60L), (4) at jointing stage (April 8th, 60L), 100% flowering stage (April 30th, 60L), and grain filling period (May 10th, 60L) before irrigation, crop coefficient (KC) was low and exactly after irrigation, it increased and then it decreased gradually day by day. R2 between evapotranspiration which is on the basis of hourly weather data and daily weather data with measured ET in big lysimter was 0.962 and 0.953, respectively. Evapotranspiration and crop coefficient almost exactly match according to R2 of the regression. In conclusion, evapotranspiration and KC give a closer idea of the value of research on relationship between evapotranspiration and crop coefficient.</em></p>


2015 ◽  
Vol 35 (15) ◽  
Author(s):  
朗坤 LANG Kun ◽  
刘泉汝 LIU Quanru ◽  
卞城月 BIAN Chengyue ◽  
刘馨惠 LIU Xinhui ◽  
李全起 LI Quanqi

2008 ◽  
Vol 54 (No. 7) ◽  
pp. 313-319 ◽  
Author(s):  
H. Han ◽  
Z. Li ◽  
T. Ning ◽  
X. Zhang ◽  
Y. Shan ◽  
...  

Water stress is a frequent and critical limit to wheat (<I>Triticum aestivum</I> L.) production in North China. It has been shown that photosynthetic active radiation (PAR) is closely related to crop production. An experiment was conducted to investigate the effects of deficit irrigation and winter wheat varieties on the PAR capture ration, PAR utilization and grain yield. Field experiments involved Jimai 20 (J; high yield variety) and Lainong 0153 (L; dryland variety) with non-irrigation and irrigated at jointing stage. The results showed that whether irrigated at jointing stage or not, there was no significant difference between J and L with respect to the amount of PAR intercepted by the winter wheat canopies. However, significant differences were observed between the varieties with respect to the amount of PAR intercepted by plants that were 60–80 cm above the ground surface. This result was mainly caused by the changes in the vertical distributions of leaf area index (LAI). As a result, the effects of the varieties and deficit irrigation on the radiation use efficiency (RUE) and grain yield of winter wheat were due to the vertical distribution of PAR in the winter wheat canopies. During the late growing season of winter wheat, irrespective of the irrigation regime, the RUE and grain yield of J were significantly (LSD, <I>P</I> < 0.05) higher than those of L. These results suggest that a combination of deficit irrigation and a suitable winter wheat variety should be applied in North China.


Water ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 1633 ◽  
Author(s):  
Ying Ma ◽  
Xianfang Song

Irrigation and fertilization both affect the water cycle in agricultural ecosystems. It is difficult to quantify root water uptake (RWU) which varies with crop development and seasons. In this study, a Bayesian mixing model (MixSIAR) coupling with dual stable isotopes (D and 18O) was used to quantify RWU patterns for winter wheat under different irrigation and fertilization treatments between 2014 and 2015 in Beijing, China. The main RWU depth during the greening-jointing, jointing-heading, heading-filling, and filling-harvest stages was 0–20 cm, 20–70 cm, 0–20 cm, and 20–70 cm, respectively, which showed water uptake proportions of 67.0%, 42.0%, 38.7%, and 34.9%, respectively. Significant differences in RWU patterns appeared between the 2014 and 2015 seasons. The main RWU depth increased gradually from 0–20 cm at the greening-jointing stage to 20–70 cm at the jointing-heading stage and 70–150 cm during the heading to harvest period in 2014. However, winter wheat primarily took up soil water from the 0–70 cm layer in 2015. The average water uptake proportion in the top layer (0–20 cm) in 2015 (42.6%) was remarkably higher than that in 2014 (28.7%). There was a significantly negative relationship (p < 0.01) between the water uptake proportion and the proportion of root length at the filling-harvest stage in 2014, while no significant correlation (p > 0.05) was found in 2015. Variable distributions of root characteristics and soil moisture induced by different irrigation and fertilization comprehensively affected the RWU profile, particularly under severe drought environments in 2015. Treatments with fertilization of 105 kg hm−2 N or irrigation of 20 mm during the greening-jointing stage significantly promoted water uptake contribution in the 70–150 cm (32.2%) and 150–200 cm (23.5%) layers at the jointing-heading stage in 2015, while other treatments had a shallow dominant RWU depth (0–20 cm). The planned wetting layer should be kept within the main RWU depth of 0–70 cm for improving irrigation water use efficiency.


2019 ◽  
Vol 11 (23) ◽  
pp. 6829 ◽  
Author(s):  
Umut Hasan ◽  
Mamat Sawut ◽  
Shuisen Chen

The leaf area index (LAI) is not only an important parameter for monitoring crop growth, but also an important input parameter for crop yield prediction models and hydrological and climatic models. Several studies have recently been conducted to estimate crop LAI using unmanned aerial vehicle (UAV) multispectral and hyperspectral data. However, there are few studies on estimating the LAI of winter wheat using unmanned aerial vehicle (UAV) RGB images. In this study, we estimated the LAI of winter wheat at the jointing stage on simple farmland in Xinjiang, China, using parameters derived from UAV RGB images. According to gray correlation analysis, UAV RGB-image parameters such as the Visible Atmospherically Resistant Index (VARI), the Red Green Blue Vegetation Index (RGBVI), the Digital Number (DN) of Blue Channel (B) and the Green Leaf Algorithm (GLA) were selected to develop models for estimating the LAI of winter wheat. The results showed that it is feasible to use UAV RGB images for inverting and mapping the LAI of winter wheat at the jointing stage on the field scale, and the partial least squares regression (PLSR) model based on the VARI, RGBVI, B and GLA had the best prediction accuracy (R2 = 0.776, root mean square error (RMSE) = 0.468, residual prediction deviation (RPD) = 1.838) among all the regression models. To conclude, UAV RGB images not only have great potential in estimating the LAI of winter wheat, but also can provide more reliable and accurate data for precision agriculture management.


BMC Genomics ◽  
2021 ◽  
Vol 22 (S3) ◽  
Author(s):  
Menglei Wang ◽  
Chenhui Yang ◽  
Kangning Wei ◽  
Miao Zhao ◽  
Liqiang Shen ◽  
...  

Abstract Background Winter wheat requires prolonged exposure to low temperature to initiate flowering (vernalization). Shoot apical meristem of the crown is the site of cold perception, which produces leaf primordia during vegetative growth before developing into floral primordia at the initiation of the reproductive phase. Although many essential genes for winter wheat cold acclimation and floral initiation have been revealed, the importance of microRNA (miRNA) meditated post-transcriptional regulation in crowns is not well understood. To understand the potential roles of miRNAs in crown tissues, we performed a temporal expression study of miRNAs in crown tissues at the three-leaf stage, winter dormancy stage, spring green-up stage, and jointing stage of winter wheat grown under natural growth conditions. Results In total, 348 miRNAs belonging to 298 miRNA families, were identified in wheat crown tissues. Among them, 92 differentially expressed miRNAs (DEMs) were found to be significantly regulated from the three-leaf stage to the jointing stage. Most of these DEMs were highly expressed at the three-leaf stage and winter dormancy stage, and then declined in later stages. Six DEMs, including miR156a-5p were markedly induced during the winter dormancy stage. Eleven DEMs, including miR159a.1, miR390a-5p, miR393-5p, miR160a-5p, and miR1436, were highly expressed at the green-up stage. Twelve DEMs, such as miR172a-5p, miR394a, miR319b-3p, and miR9676-5p were highly induced at the jointing stage. Moreover, 14 novel target genes of nine wheat or Pooideae-specific miRNAs were verified using RLM-5′ RACE assay. Notably, six mTERFs and two Rf1 genes, which are associated with mitochondrial gene expression, were confirmed as targets of three wheat-specific miRNAs. Conclusions The present study not only confirmed the known miRNAs associated with phase transition and floral development, but also identified a number of wheat or Pooideae-specific miRNAs critical for winter wheat cold acclimation and floral development. Most importantly, this study provided experimental evidence that miRNA could regulate mitochondrial gene expression by targeting mTERF and Rf1 genes. Our study provides valuable information for further exploration of the mechanism of miRNA mediated post-transcriptional regulation during winter wheat vernalization and inflorescent initiation.


2018 ◽  
Author(s):  
Su Bao-wei ◽  
Zhao Geng-xing ◽  
Dong Chao

AbstractStudy on soil nutrient variability and its effect on the growth and development of crop under traditional tillage mode is the foundation to comprehensively implement the precision agriculture policy on the field scale and crop excellent management. In this paper, a winter wheat field of 28.5 hm2 under traditional cultivation model in Tianzhuang town of Huantai county was selected as the research area. Sampling by mesh point method (60×60m), the variation characteristics of soil available nitrogen (AN), available phosphorus (AP) and available potassium (AK) in the before sowing, reviving stage, jointing stage, filling stage of winter wheat were analyzed by the method of geostatistics and GIS. At the same time, Pearson correlation analysis was used to study the response of wheat growth and development to soil nutrient variation. As the growth period goes by, 1) each nutrient showed low-high-low and moderate variability. AN and AK had the highest content at reviving stage, while AP at jointing stage, as turning point. The order of variability of each nutrient was AN>AP>AK. 2) The difference of nutrient variation first increased and then decreased, and showed medium to strong spatial correlation.Three nutrients in the before sowing stage were strong spatial correlation, and the reviving stage was medium spatial correlation, to the jointing and filling stages, AN was medium spatial correlation, AP and AK were strong spatial correlation. The spatial correlation of each nutrients was the weakest in the reviving stage, and AN was the strongest in the before sowing stage, while AP and AK were strongest in the jointing stage. The spatial correlation of each soil nutrients decreased from before sowing to reviving stage, jointing stage to filling stage, and the spatial correlation increased from reviving stage to jointing stage. 3) Soil nutrient content first increased and then decreased, and the grade of nutrient gradually decreased. 4) The correlation between soil nutrients and wheat growth was gradually increasing. AN had the highest correlation with wheat growth, followed by AK and AP lowest. The effect of soil nutrients on the growth of wheat at the reviving stage was higher than that of the current nutrient, and the growth of wheat at jointing stage was mainly influenced by the current nutrient, while the growth of wheat at the filling period was both influenced by the nutrient content of the last and the current period; the date to supplement fertilizer should be postponed properly. In this study, the soil nutrient dynamics and its influence on the growth of wheat during the winter wheat growth period under the traditional field model were well understood, which could provide a theoretical basis for the precision management of soil nutrients in the northern winter wheat area with relatively uniform planting environment and cultivation management.


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