scholarly journals Using an Active Sensor to Develop New Critical Nitrogen Dilution Curve for Winter Wheat

Sensors ◽  
2020 ◽  
Vol 20 (6) ◽  
pp. 1577 ◽  
Author(s):  
Jie Jiang ◽  
Cuicun Wang ◽  
Yu Wang ◽  
Qiang Cao ◽  
Yongchao Tian ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Field Experiments ◽  
Wheat Varieties ◽  
Active Sensor ◽  
Alternative Approach ◽  
Nitrogen Dilution ◽  
N Management ◽  
N Rates ◽  
Non Destructive ◽  
N Status

Critical nitrogen (N) dilution curves (CNDCs) have been developed to describe the dilution dynamic of N and to diagnose N status in plants. In this study, to develop a convenient alternative CNDC determination method, four field experiments involving different N rates (0–360 kg N ha-1) and six wheat varieties were performed at different eco-sites from 2014 to 2019. The normalised difference red-edge (NDRE) index extracted from the RapidSCAN CS-45 (Holland Scientific Inc., Lincoln, NE, USA) sensor was used as a driving factor instead of plant dry matter (PDM) to establish a new alternative winter wheat CNDC. The newly developed CNDC was described by the equation Nc = 0.90NDRE−0.88, when NDRE values were ≤ 0.19 and constant Nc = 3.81%, which was independent of the NDRE values. Compared to PDM-derived CNDC (R2 = 0.73) developed with the same dataset, a comparable precision was obtained using NDRE-derived CNDC (R2 = 0.76) and both CNDCs could accurately discriminate wheat N status. Moreover, the NDRE could be inexpensively and rapidly measured using the active sensor. The relationship between NDRE-derived CNDC and grain yield was also analysed to facilitate in-season N management, and the R2 value reached 0.79 and 0.87 at jointing and booting stages, respectively. The NDRE-based CNDC can be used to effectively diagnose wheat N status and as an alternative approach for non-destructive determination of crop N levels.

Evaluating a Crop Circle active sensor-based in-season nitrogen management algorithm in different winter wheat cropping systems

2017 ◽  
Vol 8 (2) ◽  
pp. 364-367 ◽  
Author(s):  
L. Zhou ◽  
G. Chen ◽  
Y. Miao ◽  
H. Zhang ◽  
Z. Chen ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Cropping Systems ◽  
Management Strategies ◽  
Cropping System ◽  
Management Algorithm ◽  
Active Sensor ◽  
Partial Factor Productivity ◽  
N Management ◽  
Partial Factor ◽  
On Farm

The objective of this study was to evaluate the performance of a Crop Circle sensor-based precision nitrogen (N) management (PNM) strategy in different winter wheat cropping systems under on-farm conditions in North China Plain (NCP). Four farmer’s fields were selected for on-farm experiments in Laoling County, Shandong Province of NCP in 2015-2016. In each field, the PNM strategy was evaluated in two winter wheat cropping systems: farmer’s conventional management (FCM) and regional optimum crop management (ROCM). In each cropping system, there were two N management strategies: 1) FCM or ROCM; 2) PNM. The results indicated that the PNM strategy significantly increased partial factor productivity (PFP) by 29% in the FCM system, but did not have any significant improvement in the ROCM system. The ROCM system, using either regional optimum N management or PNM, significantly increased both grain yield and PFP than the FCM system.

scholarly journals Evaluation of Three Portable Optical Sensors for Non-Destructive Diagnosis of Nitrogen Status in Winter Wheat

Sensors ◽  
2021 ◽  
Vol 21 (16) ◽  
pp. 5579
Author(s):  
Jie Jiang ◽  
Cuicun Wang ◽  
Hui Wang ◽  
Zhaopeng Fu ◽  
Qiang Cao ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Optical Sensors ◽  
Accurate Estimation ◽  
Growth Stages ◽  
N Accumulation ◽  
N Nutrition ◽  
N Concentration ◽  
Non Destructive ◽  
N Status ◽  
Leaf N

The accurate estimation and timely diagnosis of crop nitrogen (N) status can facilitate in-season fertilizer management. In order to evaluate the performance of three leaf and canopy optical sensors in non-destructively diagnosing winter wheat N status, three experiments using seven wheat cultivars and multi-N-treatments (0–360 kg N ha−1) were conducted in the Jiangsu province of China from 2015 to 2018. Two leaf sensors (SPAD 502, Dualex 4 Scientific+) and one canopy sensor (RapidSCAN CS-45) were used to obtain leaf and canopy spectral data, respectively, during the main growth period. Five N indicators (leaf N concentration (LNC), leaf N accumulation (LNA), plant N concentration (PNC), plant N accumulation (PNA), and N nutrition index (NNI)) were measured synchronously. The relationships between the six sensor-based indices (leaf level: SPAD, Chl, Flav, NBI, canopy level: NDRE, NDVI) and five N parameters were established at each growth stages. The results showed that the Dualex-based NBI performed relatively well among four leaf-sensor indices, while NDRE of RS sensor achieved a best performance due to larger sampling area of canopy sensor for five N indicators estimation across different growth stages. The areal agreement of the NNI diagnosis models ranged from 0.54 to 0.71 for SPAD, 0.66 to 0.84 for NBI, and 0.72 to 0.86 for NDRE, and the kappa coefficient ranged from 0.30 to 0.52 for SPAD, 0.42 to 0.72 for NBI, and 0.53 to 0.75 for NDRE across all growth stages. Overall, these results reveal the potential of sensor-based diagnosis models for the rapid and non-destructive diagnosis of N status.

scholarly journals Study on some features of water exchange of local varieties of hard wheat

2021 ◽  
Vol 939 (1) ◽  
pp. 012061
Author(s):  
N D Khodzhaeva ◽  
I U Urazbayev ◽  
K K Ishankulova
Keyword(s):  
Winter Wheat ◽  
Water Regime ◽  
Water Exchange ◽  
Field Experiments ◽  
Residual Water ◽  
Wheat Varieties ◽  
Local Varieties ◽  
Physiological Indicators ◽  
Physiological Processes ◽  
Number Of Factors

Abstract This article discusses the main physiological indicators of water exchange in winter wheat varieties Makus-3, Istiklal and Istiklal-20. There were revealed indicators of daily and residual water deficit of leaves, as well as the water potential of leaves.As you are aware, drought resistance of plants depends on a number of factors. In particular, it is largely determined by the biological characteristics of plants.In this regard, the identification of the features of the physiological processes of the water regime and the associated metabolic processes that determine the resistance to drought in various varieties and hybrids of wheat is of great interest not only in scientific but also in practical terms, because the research results can be used to develop recommendations for selection of source forms for breeding work. We have studied a number of indicators of the water regime of local varieties of winter wheat -Istiklal, Istiklal-20 and Makus-3. The research was carried out on plants grown under the conditions of vegetation and field experiments in the phases of booting, earing, flowering and waxy ripeness.

scholarly journals Evaluation of In-Season Nitrogen Management for Summer Maize in North Central China

ISRN Agronomy ◽  
2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
S.-C. Zhao ◽  
P. He ◽  
Z.-M. Sha ◽  
S.-L. Xing ◽  
K.-J. Li
Keyword(s):  
Field Experiments ◽  
Early Summer ◽  
Central China ◽  
Summer Maize ◽  
North Central ◽  
Grain Yields ◽  
Maize Growth ◽  
N Supply ◽  
N Management ◽  
N Rates

We conducted field experiments in which nitrogen (N) was applied to summer maize at different rates and different basal/topdressing ratios. The experiments were carried out in 2009 in Hengshui and Xinji, Hebei province, China. The results showed that basal application of N was necessary for maize growth in early summer and for high grain yields. For the Hengshui and Xinji sites, 30 and 57 kg N ha−1, respectively, would meet the N demands of maize before 7-leaf stage. The total rates of 120 and 180 kg N ha−1, respectively, would maximize grain yields, and in-season N management based on crop N demands and soil N supply could reduce N inputs by more than 50% in Hengshui and 25% in Xinji, respectively, in one maize growth season, compared with farmers' practice, but the sustainability of the optimum N rates for maximum grain yield of next seasons crop needs to be further studied. Optimum N management should take into account the existing nutrient conditions at each site, soil fertility and texture, and crop demands.

scholarly journals Influence of terbutryne (Igran 50) on choline content in the grain of some winter wheat varieties

2013 ◽  
Vol 37 (2) ◽  
pp. 179-184
Author(s):  
Renata Ciszewska ◽  
Anna Sykut
Keyword(s):  
Winter Wheat ◽  
Weed Control ◽  
Field Experiments ◽  
Practical Importance ◽  
Climatic Conditions ◽  
Meteorological Conditions ◽  
Point Of View ◽  
Wheat Varieties ◽  
Winter Wheat Varieties

The influence of terbutryne (Igran 50) on the accumulation of choline in the grain of three winter wheat varieties ('Holme', 'Kranich', 'Winetou') was investigated in field experiments in the years 1977-1979. Igran 50 (50% S. A.) was applied to the soil in a weed control dose (4 kg/ha). Differences in choline content were found in the grain of the investigated wheat varieties. After application of the herbicide an insignificant decrease of the determined compound content was noted. These changes were dependent on the varieties of wheat and the meteorological conditions of plant vegetation. The climatic conditions, exercised a greater influence on the choline content in grain than the applied herbicide. For this reason it appears from the agricultural point of view that the effect of terbutryne provoking only an insignificant decrease of the determined compound content in the investigated material is of no greater practical importance.

scholarly journals Breeding wheat varieties of different development types adapted to different growing conditions

2018 ◽  
Vol 23 ◽  
pp. 14-18
Author(s):  
V. V. Bazalii ◽  
I. V. Boichuk ◽  
Yu. O. Lavrynenko ◽  
H. H. Bazalii ◽  
Ye. O. Domaratskyi ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Field Experiments ◽  
Wheat Varieties ◽  
High Productivity ◽  
Sowing Dates ◽  
Alternative Type ◽  
Soft Winter Wheat ◽  
Growing Conditions ◽  
Winter Wheat Varieties ◽  
Late Sowing

Aim. When forming optimal sowing structure, considering certain conditions of soil and climate zones, a particular region and farm, it is necessary to have a complex of varieties with different levels of plasticity, stability and the length of a growing season, the duration of a vernalization stage and photoperiodic sensitivity. Methods. The research was conducted according to the methods of field experiments. The winter wheat varieties included and the wheat varieties of an alternative type of different genetic and ecological origin were used in the research. Results. The purposeful inclusion of the wheat varieties Znakhidka odeska, Khersonska unbearded, the variety of an alternative type Nevesinjka 471, NS 446 and others into hybridization by a diallel scheme allowed realizing the complexes of such features as fast maturation, 1000 grain weight, adaptive properties in the offspring resulting in high productivity. The promising lines selected in the breeding process became the basis for developing new winter wheat varieties Askaniiska, Askaniiska Berehynia, Perlyna and the varieties of an alternative type Solomiia, Klarysa. Conclusions. The conducted research resulted in developing promising soft winter wheat varieties and the varieties of an alternative type, which ensure high and steady grain yields, especially under late sowing dates. Keywords: winter wheat, varieties of an alternative type, combining ability of genotypes.

Edge and neighbour effects in cereal yield trials

1980 ◽  
Vol 94 (3) ◽  
pp. 731-734 ◽  
Author(s):  
R. B. Austin ◽  
R. D. Blackwell
Keyword(s):  
Winter Wheat ◽  
Field Experiments ◽  
Unit Area ◽  
Extreme Case ◽  
Separate Experiment ◽  
Wheat Varieties ◽  
Grain Yields ◽  
Neighbour Effects ◽  
Yield Trials ◽  
Winter Wheat Varieties

SummaryIn two field experiments with winter wheat varieties, the grain yields per unit area calculated from entire plots 4·2 × 1·18 m were 25% greater than the yields of the centre row. This occurred mainly because the outer rows in the plots yielded 62% more than the centre row. When the yields were calculated on the basis of a plot width of 1·53 m (the distance from path centre to path centre across the long axis of a plot), it was estimated that they were 4% less than the yields of the centre rows. In the most extreme case when a short variety in a plot of this size was bordered by neighbours 70 cm taller, its yield, relative to that of the tall variety, was underestimated by 10–12%.A separate experiment showed that the greater yield from plants at the edges of plots was associated mainly with more ears.

scholarly journals The Morphological Features and Canopy Parameters as Factors Affecting the Competition Between Winter Wheat Varieties and Weeds

2013 ◽  
Vol 53 (3) ◽  
pp. 203-209
Author(s):  
Beata Feledyn-Szewczyk ◽  
Krzysztof Jończyk ◽  
Adam Berbeć
Keyword(s):  
Winter Wheat ◽  
Dry Matter ◽  
Field Experiments ◽  
Plant Density ◽  
Morphological Features ◽  
Wheat Varieties ◽  
Factors Affecting ◽  
Weed Infestation ◽  
Different Response ◽  
Winter Wheat Varieties

Abstract The aim of the study was to determine the relationship between morphological features and canopy parameters of winter wheat varieties and weed infestation. The 2-year-long field experiments were conducted at 3 locations, on 13 varieties of winter wheat cultivated on organic farms. The response of the tested cultivars to weed infestation was similar regardless of the location. The number of weeds did not differ significantly between the wheat varieties and was similar in all locations and years of the study (109-122 plants/m2). The weed dry matter was significantly lower in Chomentowo (38 g/m2) compared to Osiny and Chwałowice (66 and 85 g/ m2). Nateja and Legenda wheat varieties showed the biggest competitiveness against weeds in both years and locations, whereas Alcazar, Boomer and Jenga were characterized as having the least competitive ability. Natula, Kohelia, Batuta and Ostroga wheat varieties showed a different response to weed infestation over the years. The analysis of correlation and cluster analysis showed that wheat dry matter, plant density, and wheat height had the greatest impact on the number and dry matter of weeds. There was no significant correlation between number of tillers per plant and weed infestation parameters measured in the dough stage

scholarly journals In-Season Diagnosis of Winter Wheat Nitrogen Status in Smallholder Farmer Fields Across a Village Using Unmanned Aerial Vehicle-Based Remote Sensing

Agronomy ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. 619 ◽  
Author(s):  
Zhichao Chen ◽  
Yuxin Miao ◽  
Junjun Lu ◽  
Lan Zhou ◽  
Yue Li ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Winter Wheat ◽  
Unmanned Aerial Vehicle ◽  
Farming Systems ◽  
Soil Conditions ◽  
Small Scale ◽  
Smallholder Farmer ◽  
Aerial Vehicle ◽  
N Management ◽  
N Status

Improving nitrogen (N) management of small-scale farming systems in developing countries is crucially important for food security and sustainable development of world agriculture, but it is also very challenging. The N Nutrition Index (NNI) is a reliable indicator for crop N status, and there is an urgent need to develop an effective method to non-destructively estimate crop NNI in different smallholder farmer fields to guide in-season N management. The eBee fixed-wing unmanned aerial vehicle (UAV)-based remote sensing system, a ready-to-deploy aircraft with a Parrot Sequoia+ multispectral camera onboard, has been used for applications in precision agriculture. The objectives of this study were to (i) determine the potential of using fixed-wing UAV-based multispectral remote sensing for non-destructive estimation of winter wheat NNI in different smallholder farmer fields across the study village in the North China Plain (NCP) and (ii) develop a practical strategy for village-scale winter wheat N status diagnosis in small scale farming systems. Four plot experiments were conducted within farmer fields in 2016 and 2017 in a village of Laoling County, Shandong Province in the NCP for evaluation of a published critical N dilution curve and for serving as reference plots. UAV remote sensing images were collected from all the fields across the village in 2017 and 2018. About 150 plant samples were collected from farmer fields and plot experiments each year for ground truthing. Two indirect and two direct approaches were evaluated for estimating NNI using vegetation indices (VIs). To facilitate practical applications, the performance of three commonly used normalized difference VIs were compared with the top performing VIs selected from 59 tested indices. The most practical and stable method was using VIs to calculate N sufficiency index (NSI) and then to estimate NNI non-destructively (R2 = 0.53–0.56). Using NSI thresholds to diagnose N status directly was quite stable, with a 57–59% diagnostic accuracy rate. This strategy is practical and least affected by the choice of VIs across fields, varieties, and years. This study demonstrates that fixed-wing UAV–based remote sensing is a promising technology for in-season diagnosis of winter wheat N status in smallholder farmer fields at village scale. The considerable variability in local soil conditions and crop management practices influenced the overall accuracy of N diagnosis, so more studies are needed to further validate and optimize the reported strategy and consecutively develop practical UAV remote sensing–based in-season N recommendation methods.

Effects of differences in date of ear emergence and height on yield of winter wheat

1985 ◽  
Vol 105 (3) ◽  
pp. 543-549 ◽  
Author(s):  
P. Innes ◽  
J. Hoogendoorn ◽  
R. D. Blackwell
Keyword(s):  
Winter Wheat ◽  
Field Experiments ◽  
Grain Filling ◽  
Wheat Varieties ◽  
Dwarfing Gene ◽  
Grain Yields ◽  
Plant Breeding Institute ◽  
New Varieties ◽  
Crop Research ◽  
Winter Wheat Varieties

SUMMARYEarly and late, and short and tall lines were selected from a cross between the winter wheat varieties Norman and Talent. All short selections carried the Rht2 dwarfing gene while the tall ones did not. The selections were compared in field experiments at the Plant Breeding Institute in Trumpington and at The Murrays Experimental Farm of the Scottish Crop Research Institute near Pathhead. In one of the experiments at Trumpington the plots were automatically sheltered from rain and the effects of withholding water before anthesis and withholding water during grain filling were studied.In all trials the early selections gave grain yields equal to or greater than the late selections. There were no differences in number of ears/m2 or in number of grains per ear between the early and the late selections. Mean weight per grain of the early selections was greater than that of the late selections.The short selections gave grain yields equal to or greater than the tall selections, except when water was withheld during grain filling in the sheltered experiment. There were no differences in number of ears/m2 between the short and the tall selections. The number of grains per ear was greater and mean weight per grain was less for the short selections than for the tall selections.It is concluded that for general fitness to U.K. conditions, new varieties should be semi-dwarf, but earlier than current varieties.

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