FACTORS UNDERLYING GRAIN YIELD SPATIAL VARIABILITY IN THREE IRRIGATED WHEAT FIELDS

1999 ◽  
Vol 42 (5) ◽  
pp. 1187-1202 ◽  
Author(s):  
R. E. Plant ◽  
A. Mermer ◽  
G. S. Pettygrove ◽  
M. P. Vayssieres ◽  
J. A. Young ◽  
...  
Keyword(s):  
Spatial Variability ◽  
Grain Yield ◽  
Irrigated Wheat

Nitrogen requirements of irrigated wheat on the Darling Downs

1981 ◽  
Vol 21 (111) ◽  
pp. 424 ◽  
Author(s):  
WM Strong
Keyword(s):  
Grain Yield ◽  
Protein Concentration ◽  
N Fertilizer ◽  
Yield Response ◽  
Grain Protein ◽  
Price Ratio ◽  
Grain Protein Concentration ◽  
Low Protein ◽  
Management Factors ◽  
Irrigated Wheat

Eighteen fertilizer trials, each with five levels of nitrogen (N) and three levels of phosphorus (PI, were conducted on black earth soils of the Darling Downs to establish optimal economic rates of N fertilizer in commercial, irrigated wheat crops. The optimal economic rate of N with a fertilizer: wheat price ratio (kg N: kg grain) of 5:l, the yield response of 100 kg/ha of applied N, the yield without fertilizer, and the yield with fertilizer not limiting were calculated from derived yield response relations at each site. A multi-variate regression procedure was used to determine which soil or crop management factors significantly influenced the rate of N needed to optimize wheat yield. Delay in planting after June 1 and the level of residual mineral N in the soil at planting had strong negative effects on the response to fertilizer and the optimal rate of fertilizer required. The results indicate that yields of irrigated wheat may be below the economic optimum because of sub-optimal applications of N. Other soil and management factors such as available soil P and number of irrigations also affected grain yield. At 1 3 sites low protein wheat (< 1 1.4�1~) was produced with all but the highest two rates of N fertilizer and at two sites even the highest rate produced low protein wheat. The effect of N fertilizer applied at planting on grain protein concentration was changed by the yield response to the fertilizer application. Grain protein concentration was curvilinearly related (R2 = 0.81) to relative grain yield (yield as a proportion of the maximum yield); grain protein was at its minimum at a relative yield of 0.5. Although heavy rates of N fertilizer at planting increased grain protein concentration on a few sites, usually these applications led to an inefficient use of N fertilizer; apparent incorporation of fertilizer N into grain decreased with increasing rate of fertilizer.

scholarly journals Wheat yield in the Cerrado as affected by nitrogen fertilization and inoculation with Azospirillum brasilense

2017 ◽  
Vol 52 (9) ◽  
pp. 794-805 ◽  
Author(s):  
Fernando Shintate Galindo ◽  
Marcelo Carvalho Minhoto Teixeira Filho ◽  
Salatiér Buzetti ◽  
José Mateus Kondo Santini ◽  
Cleiton José Alves ◽  
...  
Keyword(s):  
Grain Yield ◽  
Azospirillum Brasilense ◽  
Wheat Yield ◽  
Urease Inhibitor ◽  
N Accumulation ◽  
Leaf Chlorophyll ◽  
Spike Number ◽  
Tillage System ◽  
Irrigated Wheat ◽  
N Rates

Abstract: The objective of this work was to evaluate the effect of inoculation with Azospirillum brasilense, associated with N rates and sources, in soil of the Cerrado (Brazilian savanna), on the grain yield of irrigated wheat (Triticum aestivum). The experiment was carried out under a no-tillage system in a Typic Haplustox. The experimental design was randomized complete blocks with four replicates, in a 2x5x2 factorial arrangement: two N sources (urea and urea with NBPT urease inhibitor); five N rates applied as topdressing (0, 50, 100, 150, and 200 kg ha-1); and with or without seed inoculation with A.brasilense. The increase in the N rates positively affected spike length, number of spikelets and of grains per spike, number of spikes per meter, N accumulation in the straw, leaf chlorophyll content, and grain yield of irrigated wheat, regardless of the use of NBPT urease inhibitor with conventional urea. Singly, inoculation with A.brasilense does not affect production components and grain yield, despite the increase in N content in wheat straw. The inoculation with A.brasilense, associated with the application of 140 kg ha-1 N, provides the highest grain yield of irrigated wheat cropped after corn in low-altitude Cerrado.

Effects of Cultural Practices on Grain Yield of Irrigated Wheat 1

1978 ◽  
Vol 70 (2) ◽  
pp. 279-282 ◽  
Author(s):  
A. D. Day ◽  
E. B. Jackson ◽  
Aschalew Alemu
Keyword(s):  
Grain Yield ◽  
Cultural Practices ◽  
Irrigated Wheat

scholarly journals Correlations of soybean yield with soil porosity and bulk density of an Oxisol

2018 ◽  
Vol 48 (4) ◽  
pp. 476-485
Author(s):  
Sérgio Ricardo Lima Negro ◽  
Diego dos Santos Pereira ◽  
Rafael Montanari ◽  
Flávio Carlos Dalchiavon ◽  
Christtiane Fernandes Oliveira
Keyword(s):  
Spatial Variability ◽  
Grain Yield ◽  
Bulk Density ◽  
Yield Components ◽  
Particle Density ◽  
Soil Porosity ◽  
No Tillage ◽  
Soybean Yield ◽  
Volumetric Flask ◽  
Soil Attributes

ABSTRACT The spatial variability of soil physical attributes is important to indicate management practices that best suit agricultural areas. This study aimed to analyze spatial correlations between soybean grain yield and soil mass-volume relationships, in order to select which attribute is correlated with yield, as well as to evaluate the spatial variability of soil attributes and yield components of this crop, in an Oxisol under no-tillage system. The soil attributes analyzed (0.0-0.10 m and 0.10-0.20 m) were the following ones: soil bulk density (paraffin-coated clod and volumetric ring methods), particle density (volumetric flask and modified volumetric flask methods) and total porosity. The soybean yield components were evaluated as it follows: grain yield, number of pods per plant, number of grains per pod, mass of 100 grains, grain mass per plant, plant population and plant height. The total soil porosity, calculated by the relations between the bulk density (volumetric ring method) and particle density (volumetric flask), in the 0.10-0.20 m layer, was the best indicator of soybean grain yield under no-tillage conditions.

Delineating site-specific management zones for precision agriculture

2015 ◽  
Vol 154 (2) ◽  
pp. 273-286 ◽  
Author(s):  
H. U. FARID ◽  
A. BAKHSH ◽  
N. AHMAD ◽  
A. AHMAD ◽  
Z. MAHMOOD-KHAN
Keyword(s):  
Spatial Variability ◽  
Grain Yield ◽  
Precision Farming ◽  
Farming Practices ◽  
Wheat Grain ◽  
Site Specific ◽  
Management Zones ◽  
Management Zone ◽  
Specific Management ◽  
Landscape Attributes

SUMMARYDelineating site-specific management zones within fields can be helpful in addressing spatial variability effects for adopting precision farming practices. A 3-year (2008/09 to 2010/11) field study was conducted at the Postgraduate Agricultural Research Station, University of Agriculture, Faisalabad, Pakistan, to identify the most important soil and landscape attributes influencing wheat grain yield, which can be used for delineating management zones. A total of 48 soil samples were collected from the top 300 mm of soil in 8-ha experimental field divided into regular grids of 24 × 67 m prior to sowing wheat. Soil and landscape attributes such as elevation, % of sand, silt and clay by volume, soil electrical conductivity (EC), pH, soil nitrogen (N) and soil phosphorus (P) were included in the analysis. Artificial neural network (ANN) analysis showed that % sand, % clay, elevation, soil N and soil EC were important variables for delineating management zones. Different management zone schemes ranging from three to six were developed and evaluated based on performance indicators using Management Zone Analyst (MZA V0·1) software. The fuzziness performance index (FPI) and normalized classification entropy NCE indices showed minimum values for a four management zone scheme, indicating its appropriateness for the experimental field. The coefficient of variation values of soil and landscape attributes decreased for each management zone within the four management zone scheme compared to the entire field, which showed improved homogeneity. The evaluation of the four management zone scheme using normalized wheat grain yield data showed distinct means for each management zone, verifying spatial variability effects and the need for its management. The results indicated that the approach based on ANN and MZA software analysis can be helpful in delineating management zones within the field, to promote precision farming practices effectively.

scholarly journals Validation of irrigation scheduling for cultivation of irrigated wheat in semi-arid climatic condition of Ethiopia

2018 ◽  
Vol 6 (2) ◽  
pp. 139-147
Author(s):  
Elias Kebede ◽  
Yonas Derese ◽  
Nigussie Abebe ◽  
Fikadu Robi ◽  
Kebede Nanesa
Keyword(s):  
Soil Moisture ◽  
Grain Yield ◽  
Irrigation Water ◽  
Field Trial ◽  
Short Interval ◽  
Field Capacity ◽  
Irrigation Scheduling ◽  
Irrigation Regime ◽  
Irrigation Application ◽  
Irrigated Wheat

ABSTRACTThis study was conducted for three years (2014-2016) to validate irrigation scheduling of irrigated wheat cultivation to determine appropriate irrigation regime.  The experiments were irrigation scheduling based on CROPWAT Model 8.0 and validation on field trial. The treatments were arranged in randomized complete block design with three replications. The field trial was involving three irrigation regime treatments were used for comparison. The treatments were Treatment 1 (T1): Optimal irrigation regime as determined by Cowpat for windows that provides irrigation water of D1=50mm at an interval of I1=7 days, Treatment 2(T2): Optimal irrigation regime as determined by Cowpat for windows that provides irrigation water of D2=67mm at an interval of I2=10 days. Treatment 3(T3): Optimal irrigation regime as determined by Cowpat for windows that provides irrigation water of D3=108.3mm at an interval of I3=15 days. Treatment 4(T4): An irrigation regime that provides irrigation water at critical soil moisture depletion and an amount that would refill the soil moisture depletion to field capacity. Result indicated that grain yield was significantly affected by irrigation levels. Irrigation regime of Treatment 4 produced higher grain yield 2400 kg/ha and 20.0q/ha in 2015 and 2016 cropping season. The highest mean yield of wheat (2200 kg/ha) was obtained from critical moisture refill field capacity irrigation application. Whereas, the lowest mean yield (1778 kg/ha) was obtained from T3, 7 days irrigation interval and 50mm irrigation application. This indicates that yield of wheat decrease with decreasing water amount and short interval frequency. Irrigation scheduling based on cowpat model with irrigation regime that provides irrigation water at critical soil moisture depletion and an amount that would refill the soil moisture depletion to field capacity found promising optimum wheat scheduling under Werer and similar areas.

Monitoring spatial variability and trends of wheat grain yield over the main cereal regions in Morocco: a remote-based tool for planning and adjusting policies

2019 ◽  
pp. 1-20 ◽  
Author(s):  
Tarik Benabdelouahab ◽  
Youssef Lebrini ◽  
Abdelghani Boudhar ◽  
Rachid Hadria ◽  
Abdelaziz Htitiou ◽  
...  
Keyword(s):  
Spatial Variability ◽  
Grain Yield ◽  
Wheat Grain

scholarly journals Canopy temperature and grain yield of irrigated wheat in Kentucky

cftm ◽  
2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Carrie Ann Followell ◽  
Katherine S. Rod ◽  
Carrie A. Knott
Keyword(s):  
Grain Yield ◽  
Canopy Temperature ◽  
Irrigated Wheat
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