Site-Specific Covariates Affecting Yield Response to Nitrogen of Late-Sown Maize in Central Argentina

2018 ◽  
Vol 110 (4) ◽  
pp. 1544-1553 ◽  
Author(s):  
Tomás Coyos ◽  
Lucas Borrás ◽  
Brenda L. Gambin
Keyword(s):  
Yield Response ◽  
Site Specific ◽  
Central Argentina

Site-specific modelling of short-term soil carbon mineralization in central Argentina

Geoderma ◽  
2022 ◽  
Vol 406 ◽  
pp. 115487
Author(s):  
Julius Koritschoner ◽  
Franca Giannini Kurina ◽  
Susana Hang ◽  
Mónica Balzarini
Keyword(s):  
Soil Carbon ◽  
Carbon Mineralization ◽  
Short Term ◽  
Site Specific ◽  
Central Argentina ◽  
Soil Carbon Mineralization

Using yield maps and intensive soil sampling to improve nitrogen fertiliser recommendations from a deterministic model in the Western Australian wheatbelt

2000 ◽  
Vol 40 (7) ◽  
pp. 959 ◽  
Author(s):  
M. L. Adams ◽  
S. Cook ◽  
J. W. Bowden
Keyword(s):  
Prediction Accuracy ◽  
Deterministic Model ◽  
Yield Response ◽  
Specific Information ◽  
Sources Of Information ◽  
Site Specific ◽  
Nitrogen Fertiliser ◽  
Specific Variation ◽  
Scale Experiment ◽  
Western Australian

A field-scale experiment was conducted to determine the ability of a deterministic model developed for Western Australian wheat farmers to guide site-specific applications of nitrogen fertiliser. The results indicated that site-specific information of achievable yield improved the prediction accuracy much more than information about soil nitrogen — even though the latter was more costly to acquire. When applied together, these sources of information improved the prediction accuracy of the model markedly, explaining about half of the variation of yield response to nitrogen. However, the model failed to explain a substantial portion of site-specific variation, even with this intensity of information. This failure indicates the difficulty of representing complex biological systems with simple functional models.

scholarly journals Farmers’ Participatory Site Specific Nutrient Management in Gangetic Tidal Floodplain Soil for High Yielding Boro Rice (Oryza Sativa L.)

2013 ◽  
Vol 11 (1) ◽  
pp. 8-14 ◽  
Author(s):  
DK Nath ◽  
F Haque ◽  
F Amin ◽  
M Sh Islam ◽  
MA Saleque
Keyword(s):  
Oryza Sativa ◽  
Nutrient Management ◽  
Oryza Sativa L ◽  
Block Design ◽  
Yield Response ◽  
Management Approach ◽  
Nitrogen And Phosphorus ◽  
Floodplain Soil ◽  
Site Specific ◽  
A Site

Site Specific Nutrient Management (SSNM) trials were conducted for irrigated, transplanted and high yielding rice (Oryza sativa L.) during Boro season 2012. Four treatments (NPK, PK, NK, and NP) were applied in a randomized complete block design to assess the effects of indigenous nutrient elements on rice yield and yield components. The trials were conducted so as to develop a site specific nutrient management approach for the farmers of Gangtic Tidal Floodplain ecosystem. The highest grain-yield of 5.64 t ha-1 was observed in NPK treatment, which gave 9.0, 34.4 and 50.7% higher yields than those of NP, NK and PK, respectively. The response to indigenous K was remarkable and it gave the second highest yield (5.13 t ha-1). The yield response to indigenous N was very poor and the lowest yield was found in N omission treatment (2.78 t ha-1). The response to indigenous P was also poor (3.7 t ha-1). This result shows that nitrogen and phosphorus are the most vibrant factors to increase yield since omission of N and P had significant impact on yield during Boro season. Use of N, P and K at 128.7, 8.08 and 12.78 kg, respectively could be recommended for growing BRRI dhan47 in Boro season. It could save P and K nutrient by 55.11 and 75.89 % compared to that of NPK treatment, respectively. DOI: http://dx.doi.org/10.3329/agric.v11i1.15236 The Agriculturists 2013; 11(1) 8-14

Is Site‐Specific Yield Response Consistent over Time? Does It Pay?

2006 ◽  
Vol 88 (2) ◽  
pp. 471-483 ◽  
Author(s):  
Yanyan Liu ◽  
Scott M. Swinton ◽  
Neil R. Miller
Keyword(s):  
Specific Yield ◽  
Yield Response ◽  
Site Specific ◽  
Over Time

Dose-response models to guide site-specific nutrient management and lessons for fertiliser trial design in sub-Saharan Africa

2021 ◽  
pp. 1-18
Author(s):  
Gudeta W. Sileshi
Keyword(s):  
Dose Response ◽  
Trial Design ◽  
Nutrient Management ◽  
Sub Saharan Africa ◽  
Yield Response ◽  
Accurate Estimation ◽  
Site Specific ◽  
Response Models ◽  
Nutrient Levels ◽  
Sub Saharan

Summary Optimisation of fertiliser use and site-specific nutrient management are increasingly becoming critical because of the growing need to balance agricultural productivity with the growing demand for food and environmental concerns. Trials to determine responses of crops to fertilisers have been widely conducted in sub-Saharan Africa (SSA) with increasing emphasis on the development of economically optimum rates (EORs). Computation of EORs depends on accurate estimation of both the optimum nutrient rate and the agronomic maximum yield response; however, estimation of nutrient-response parameters and EORs is beset by a number of problems. Therefore, the objectives of this paper were to (1) point out common problems in the development and use of nutrient dose-response models and (2) provide corrective measures to facilitate future trial design and data analysis. This review outlines the underlying assumptions, strengths and limitations of the various response functions in order to facilitate informed choices by practitioners. Using specific examples, it also shows that (1) the commonly used trial designs do not allow examination of interactions between two or more nutrients and (2) trial designs with ≤5 nutrient levels and wide spacing between the levels result in large uncertainty in dose-response parameters. The key recommendations emerging from the review are as follows: (1) factorial designs and response surface models should be used more widely to address interactions between nutrients; (2) a minimum of six carefully spaced nutrient levels should be used to correctly estimate dose-response parameters; and (3) when locating field trials, Reference Soil Groups and cropping history should be carefully considered to produce site-specific EORs.

scholarly journals Adding value to spatially managed inputs by understanding site-specific yield response

2002 ◽  
Vol 27 (3) ◽  
pp. 233-245 ◽  
Author(s):  
David S. Bullock ◽  
Jess Lowenberg-DeBoer ◽  
Scott M. Swinton
Keyword(s):  
Specific Yield ◽  
Yield Response ◽  
Site Specific

SITE-SPECIFIC NUTRIENT MANAGEMENT FOR MAIZE HYBRIDS IN AN INCEPTISOL OF WEST BENGAL, INDIA

2017 ◽  
Vol 54 (6) ◽  
pp. 874-887 ◽  
Author(s):  
KRISHNENDU RAY ◽  
HIRAK BANERJEE ◽  
KALLOL BHATTACHARYYA ◽  
SUDARSHAN DUTTA ◽  
AMIT PHONGLOSA ◽  
...  
Keyword(s):  
Nutrient Management ◽  
West Bengal ◽  
Nutrient Use Efficiency ◽  
Nutrient Supply ◽  
Yield Response ◽  
Stay Green ◽  
Site Specific ◽  
Maize Hybrids ◽  
Supply Capacity ◽  
Indigenous Nutrient Supply

SUMMARYThe area under hybrid maize cultivation is increasing rapidly across South Asia. However, information regarding the proper nutrient management for modern stay-green maize hybrids in India is not adequate resulting in low productivity. Existing nutrient management practices are not able to capture the momentum change in the scenario of soil nutrient supply capacity and plant nutrient demand for achieving higher yield target. The present study aims at establishing the site-specific nutrient management (SSNM) package for an inceptisol (West Bengal, India). Soil indigenous nutrient supply capacity and nutrient use efficiency was also evaluated by using the nutrient omission plot technique. The experiment was laid out in strip-plot design, assigning three maize hybrids (P 3522, P 3396 and Rajkumar) in the vertical strip and nine fertilizer treatments [50% RDF/Recommended dose of fertilizer, 75% RDF, 100% RDF (200-60-60 kg N-P2O5-K2O ha−1), 125% RDF, 150% RDF, 100% PK, 100% NK, 100% NP and control (zero-NPK)] in the horizontal strip, with three replications. Results of the experiment revealed that the differences among cultivars were generally non-significant. The maize hybrids showed greater yield response to fertilization with N (4.14 Mg ha−1) during winter, followed by K (2.54 Mg ha−1) and P (1.58 Mg ha−1). Indigenous nutrient supply was estimated 107.2, 37.6 and 107.7 kg ha−1 for N, P and K, respectively. Both average agronomic efficiency (AE) and recovery efficiency (RE) were increased with 50% RDF and it decreased with further increase in NPK levels up to 150% RDF. The average internal efficiency (IE) was higher with 50% RDF closely followed by the treatment with absence of N. As grain yields and gross return over fertilizer (GRF) under 75 to 150% NPK treatments were similar, nutrient doses of 150 kg N, 45 kg P2O5 and 45 kg K2O ha−1 were recommended as optimum for maize hybrids.

scholarly journals Rice crop response to site variability in a multi-locational trial: A call for site specific management

2021 ◽  
Vol 58 (4) ◽  
pp. 506-516
Author(s):  
DVK Nageswara Rao ◽  
K Surekha ◽  
Aruna L
Keyword(s):  
Crop Management ◽  
Yield Response ◽  
Rice Varieties ◽  
Improvement Project ◽  
Site Specific ◽  
Multivariate Technique ◽  
Two Factors ◽  
Significant Yield ◽  
Mean Differences ◽  
Rice Improvement

Yield is a net expression of genotype (G) x environment (E) interactions including management. However, the segregation of 'E' into respective causes is seldom done while 'G' is a constant. Soil is a component of 'E' with imminent variability in attributes among multiple locations. Data on yield response of varieties to a set of treatments in different soils from multi-locational yield maximisation trial under All India Coordinated Rice Improvement Project were regularly gathered. A dataset pertaining to a trial conducted in Karaikal district of Puducherry Union Territory was analysed to ascertain the site-specific crop responses with inherent variability in soils. Rice varieties, ADT 46, BPT 5204 and CR 1009 were tested for responses at 17 sites with farmer fertiliser practices (FFP), regional recommended fertiliser dose (RDF) and software, 'Nutrient Expert®' (2016) (NE) derived fertiliser quantities. Analysis of variance showed that test sites explained 59.3% variability in yield. A multivariate technique, Factor Analysis extracted two factors, which are linear combinations of soil attributes those explained 76% of variance in soils. Factor scores classified soils into four groups, owing to variability in soil properties. Soil texture influenced yield significantly (across varieties and treatments) (R2 = 11.1%). Sites varied in excess duration in nursery ranging from 2 - 26 days. However, this excess duration reduced number of panicles m-2 only in CR 1009 (r = -0.328**). General linear model with sites and treatments as fixed factors, their interactions and panicles m-2 as covariate predicted better (R2 = 90.3%) with their significant contribution to the model. The order of R2 (%) was Sites (59.3) > Varieties (27.4) > Treatments (13.6%) in explaining variability in yield highlighting site-specific responses. Mean differences between ADT 46 and BPT 5204; BPT 5204 and CR 1009 were significant. Yield significantly changed across sites and treatments when fertiliser management shifted from non-specific (FFP) to site-specific NE based calculations through RDF (region specific). Results of this trial placed emphasis on soil test-based crop management to realise the uniform best, which clearly is site specific crop management.

Spatial variability of barley (Hordeum vulgare) and corn (Zea mays L.) yields, yield response to fertilizer N and soil N test levels

2004 ◽  
Vol 84 (3) ◽  
pp. 307-316 ◽  
Author(s):  
I. P. O’Halloran ◽  
A. P. von Bertoldi ◽  
S. Peterson
Keyword(s):  
Zea Mays ◽  
Hordeum Vulgare ◽  
Spatial Variability ◽  
Zea Mays L ◽  
Spring Barley ◽  
Yield Response ◽  
Soil N ◽  
Fertilizer N ◽  
Site Specific ◽  
Yield Responses

Identification of management units for the variable application of fertilizer N is a critical component for the implementation of a site-specific N management program. Field studies were conducted to examine the spatial variability of soil nitrate levels, spring barley (Hordeum vulgare) and corn (Zea mays L.) yields and yield responses to fertilizer N applications on two sites in southwestern Ontario, Canada. Soil sampling on a 3 × 10 m grid indicated that soil NO3-N test values had a log-normal distribution and varied considerably at both sites with CVs exceeding 57% on the untransformed data. Ranges of spatial correlation varied from 20 to 95 m with 30 to 80% of the total variance of the ln-transformed data existing as either random or unsampled variance, and these parameters were not temporally stable. Although NO3-N tended to increase at lower slope positions in two of the 3 site-years, considerable within-slope variability of soil NO3-N levels was also observed. Spatial variations in soil N test levels, crop yields and crop yield responses to applied fertilizer N were not strongly related to one another indicating that it would be unlikely that either soil N test level or yield would adequately delineate management zones for the variable application of N fertilizer at these sites. Key words: Variogram, topography, site-specific crop management

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