Soil potassium—crop response calibration relationships and criteria for field crops grown in Australia

2013 ◽  
Vol 64 (5) ◽  
pp. 514 ◽  
Author(s):  
Ross F. Brennan ◽  
Michael J. Bell

The Better Fertiliser Decision for Crops (BFDC) National Database holds historic data for 356 potassium (K) fertiliser rate experiments (431 treatment series) for different rain-fed grain crops and soil types across Australia. Bicarbonate-extractable K (Colwell soil-test K) is the most extensively used soil test reported in the database. Data are available for several crop species grown on a range of soil types from all states except Tasmania. Species represented and number of treatment series in the database are: wheat (Triticum aestivum L.), 254; barley (Hordeum vulgare L.), 5; canola (Brassica napus L.), 130; lupin (Lupinus angustifolius L.), 32; sunflower (Helianthus annuus L.), 10; sorghum (Sorghum bicolor L.), 5; and faba bean (Vicia faba L.), 2. About 77% of the available soil-test K (STK) data on wheat, canola, and lupin are from Western Australia. The usual sampling depth of 0–10 cm is recorded for all treatment series within the database, while 68% of experiments have STK information from other soil horizons down the profile, usually in 10-cm increments. The BFDC Interrogator, a comprehensive data search and calibration support tool developed for use with the BFDC National Database, was used to examine STK–yield relationships for each crop across Australia, with more detailed analysis by state/region and then by soil type if data were available. The BFDC Interrogator was used to determine a critical STK concentration to achieve 90% of the maximum relative yield (90%RY) for each crop species, with a critical range (determined by the 70% confidence limit for the 90%RY) also reported. The STK for 90%RY for wheat was 40–41 mg/kg on Tenosols and Chromosols, ~49 mg/kg on Kandosols, and ~64 mg/kg on Brown Ferrosols. There was some evidence of critical values increasing with increasing crop yield and on soils with no acidity constraints to root growth, with effects presumably driven by increased crop K demand. The STK for 90%RY for canola, grown mainly on Tenosols, was similar to that for wheat, ranging from 43 to 46 mg K/kg, but for lupin, also grown mainly on Tenosols, the STK for 90%RY was a relatively low ~25 mg K/kg. Data for sunflower were limited and the STK for 90%RY was poorly defined. A comparison of critical STK concentrations for different crops grown on Tenosols suggested that critical ranges for 90%RY of lupin (22–27 mg K/kg) were significantly lower than that for wheat (32–52 mg K/kg) and canola (44–49 mg K/kg). Critical STK values were not determined for sorghum and faba bean.


2013 ◽  
Vol 64 (5) ◽  
pp. 523 ◽  
Author(s):  
Geoffrey C. Anderson ◽  
Ken I. Peverill ◽  
Ross F. Brennan

Accurate definition of the sulfur (S) soil test–crop grain yield increase (response) relationship is required before soil S test measurements can be used to if there are likely to be responses to S fertilisers. An analysis was done using the Better Fertiliser Decision for Crops (BFDC) National Database using a web application (BFDC Interrogator) to develop calibration relationships between soil S tests (KCl-40 and MCP) using a selection of sampling depths and grain relative yields (RY). Critical soil test values (CSTV) and critical soil test ranges (CSTR) were defined at RY 90%. The ability of the KCl-40 extractable S soil test to predict grain yield response to applied S fertiliser was examined for wheat (Triticum aestivum L.) grown in Western Australia (WA), New South Wales (NSW), and Victoria and canola (Brassica napus L.) grown in WA and NSW. A smaller dataset using MCPi-extractable S was also assessed. The WA-grown wheat KCl-40 S CSTV, using sampling depth to 30 cm for soil types Chromosols (Coloured), Chromosols (Sesqui-Nodular), Kandosols (Grey and Yellow), Tenosols (Brown and Yellow), and Tenosols (Grey, Sesqui-Nodular), was 2.8 mg kg–1 with an associated CSTR 2.4–3.2 mg kg–1 and a correlation coefficient (r) 0.87. Similarly, KCl-40 S CSTV was defined using sampling depth to 10 cm for these selected soil types and for wheat grown on Vertosols in NSW. The accuracy of the KCl-40 S CSTV for canola grown in WA was improved using a sampling to a depth of 30 cm instead of 10 cm for all soil types. The canola KCl-40 S CSTV using sampling depth to 30 cm for these soil types was 7.2 mg kg–1 with an associated CSTR 6.8–7.5 and an r value 0.70. A similar KCl-40 S CSTV of 7.0 mg kg–1 was defined using a sampling depth of 10 cm, but the CSTR was higher (6.4–7.7 mg kg–1) and the r value lower (0.43). A lower KCl-40 S CSTV of 3.9 mg kg–1 or 31.0 kg ha–1 using a sampling depth of 60 cm was defined for canola grown in NSW using a limited number of S-rate calibration treatment series. Both MCPi (r = 0.32) and KCl-40 (r <0.20) soil S test–NSW canola response relationships using a 0–10 cm sampling depth were weak. The wheat KCl-40 S CSTR of 2.4–3.2 mg kg–1 can be used widely on soil types where soil sulfate is not leached during the growing season. However, both the WA canola CSTR of 6.4–7.2 mg kg–1 using a sampling depth of 30 cm and NSW canola CSTR of 25–39 kg ha–1 or 3.1–4.9 mg kg–1 using a sampling depth of 60 cm can be considered in regions outside of WA and NSW.



2013 ◽  
Vol 64 (5) ◽  
pp. 499 ◽  
Author(s):  
Michael J. Bell ◽  
Philip W. Moody ◽  
Geoffrey C. Anderson ◽  
Wayne Strong

Australian cropping systems are dominated by winter cereals; however, grain legumes, oilseeds and summer cereals play an important role as break crops. Inputs of phosphorus (P) fertiliser account for a significant proportion of farm expenditure on crop nutrition, so effective fertiliser-use guidelines are essential. A national database (BFDC National Database) of field experiments examining yield responses to P fertiliser application has been established. This paper reports the results of interrogating that database using a web application (BFDC Interrogator) to develop calibration relationships between soil P test (0–10 cm depth; Colwell NaHCO3 extraction) and relative grain yield. Relationships have been developed for all available data for each crop species, as well as for subsets of those data derived by filtering processes based on experiment quality, presence of abiotic or biotic stressors, P fertiliser placement strategy and subsurface P status. The available dataset contains >730 entries but is dominated by data for lupin (Lupinus angustifolius; 62% of all P experiments) from the south-west of Western Australia. The number of treatment series able to be analysed for other crop species was quite small (<50–60 treatment series) and available data were sometimes from geographic regions or soil types no longer reflective of current production. There is a need for research to improve information on P fertiliser use for key species of grain legumes [faba bean (Vicia faba), lentil (Lens culinaris), chickpea (Cicer arietinum)], oilseeds [canola (Brassica napus), soybean (Glycine max)] and summer cereals [sorghum (Sorghum bicolor), maize (Zea mays)] in soils and farming systems reflecting current production. Interrogations highlighted the importance of quantifying subsurface P reserves to predict P fertiliser response, with consistently higher 0–10 cm soil test values required to achieve 90% maximum yield (CV90) when subsurface P was low (<5 mg P/kg). This was recorded for lupin, canola and wheat (Triticum aestivum). Crops grown on soils with subsurface P >5 mg/kg consistently produced higher relative yields than expected on the basis of a 0–10 cm soil test. The lupin dataset illustrated the impact of improving crop yield potentials (through more effective P-fertiliser placement) on critical soil test values. The higher yield potentials arising from placement of P-fertiliser bands deeper in the soil profile resulted in significantly higher CV90 values than for crops grown on the same sites but using less effective (shallower) P placement. This is consistent with deeper bands providing an increased and more accessible volume of profile P enrichment and supports the observation of the importance of crop P supply from soil layers deeper than 0–10 cm. Soil P requirements for different species were benchmarked against values determined for wheat or barley (Hordeum vulgare) grown in the same regions and/or soil types as a way of extrapolating available data for less researched species. This approach suggested most species had CV90 values and ranges similar to winter cereals, with evidence of different soil P requirements in only peanut (Arachis hypogaea – much lower) and field pea (Pisum sativum – slightly higher). Unfortunately, sorghum data were so limited that benchmarking against wheat was inconclusive.



2015 ◽  
Vol 95 (4) ◽  
pp. 779-786 ◽  
Author(s):  
S. M. Ross ◽  
J. R. King ◽  
C. M. Williams ◽  
S. M. Strydhorst ◽  
M. A. Olson ◽  
...  

Ross, S. M., King, J. R., Williams, C. M., Strydhorst, S. M., Olson, M. A., Hoy, C. F. and Lopetinsky, K. J. 2015. The effects of three pulse crops on a second subsequent crop. Can. J. Plant Sci. 95: 779–786. Pulse crops can provide benefits to cropping systems, but few studies follow the effects beyond one subsequent crop. This study investigated the effects of three pulses on 2 yr of subsequent crops at Barrhead and St. Albert in central Alberta. In year 1 (YR1), field pea (Pisum sativum L.), faba bean (Vicia faba L.), lupin (Lupinus angustifolius L.), barley (Hordeum vulgare L.), and canola (Brassica napus L.) were grown without added N. The design included plus N controls, eight different crops in YR2, and barley in YR3. YR1 effects on YR3 barley varied between sites and years, and drought conditions in 2009 affected results. Effects of YR1 faba bean were greater than pea or lupin. Increases in YR3 barley grain yields averaged 11% (0.33 Mg ha–1) and increases in seed N yields averaged 11% (7.2 kg N ha–1) after YR1 faba bean, compared with after YR1 canola or barley without added N (BCO). Increases in YR3 barley grain yields and seed N yields averaged 3 to 5% after YR1 pea or lupin, compared with BCO.YR1 crops had few effects on YR3 barley P uptake. Results indicated that pulse crops can improve the yield and quality of a second subsequent crop.



Author(s):  
Nicolae HODIŞAN ◽  
Gavrilă MORAR ◽  
Cristina-Maria NEAG

The paper presents the results of the allelopathic effect on the germination and growth of plants, immediately after springing, in the interaction between the invasive species Ambrosia artemisiifolia L. (common ragweed) and five crop species: wheat (Triticum aestivum L.), rye (Secale cereale L.), barley (Hordeum vulgare L.), rape (Brassica napus L.) and lucerne (Medicago sativa). The tests consisted in applying treatments with aqueous extracts obtained from young Ambrosia artemisiifolia L. plants, as well as from different vegetative organs harvested from mature plants (roots, leaves and seeds). The results show a highly significant inhibiting effect on the germination of wheat, rye, barley and rape seeds and an insignificant one in lucerne seeds. A strong inhibiting effect upon the growth of plants in early stages of vegetation was established in wheat and rape and a stimulation of growth in the same stage of vegetation in barley and lucerne.



2013 ◽  
Vol 64 (5) ◽  
pp. 539 ◽  
Author(s):  
M. K. Conyers ◽  
M. J. Bell ◽  
N. S. Wilhelm ◽  
R. Bell ◽  
R. M. Norton ◽  
...  

Soil testing remains a most valuable tool for assessing the fertiliser requirement of crops. The relationship between soil tests (generally taken from surface soil) and relative yield (RY) response to fertiliser is subject to the influence of environment (e.g. water, temperature) and management (e.g. cultivation, sowing date). As such, the degree of precision is often low when the soil test calibration is based on a wide range of independent experiments on many soil types over many years by many different operators. Hence, the 90% RY target used in soil test interpretation is best described by a critical range (critical concentration and confidence interval) for a given soil test rather than a single critical value. The present Better Fertiliser Decisions for Crops (BFDC) National Database, and the BFDC Interrogator that interacts with the database, provide a great advance over traditional formats and experiment-specific critical values because it allows the use of filters to refine the critical range for specific agronomic conditions. However, as searches become more specific (region, soil type) the quantity of data available to estimate a critical range becomes more vulnerable to data paucity, to outliers, and to clusters of localised experiments. Hence, appropriate training of the users of this database will ensure that the strengths and limitations of the BFDC National Database and BFDC Interrogator are properly understood. Additionally, the lack of standardised metadata for sites within the database makes it generally impossible to isolate the effects on critical values of the specific management or environmental factors listed earlier, which are therefore best determined by specific studies. Finally, the database is dominated (60%) by responses of wheat to nitrogen and phosphorus, meaning that relatively few studies are available for responses by pulses (other than narrow leaf lupins) or oilseeds (other than canola), especially for potassium and sulfur. Moreover, limited data are available for current cropping systems and varieties. However, the identification of these gaps can now be used to focus future research on the crops, nutrients, soils, regions, and management practices where data are lacking. The value of metadata and the need for standardised protocols for nutrition experiments were key lessons.



2008 ◽  
Vol 20 (1) ◽  
pp. 3 ◽  
Author(s):  
K. HAKALA ◽  
A.O. HANNUKKALA ◽  
E. HUUSELA-VEISTOLA

A longer growing season and higher accumulated effective temperature sum (ETS) will improve crop production potential in Finland. The production potential of new or at present underutilised crops (e.g. maize (Zea mays L.), oilseed rape (Brassica napus L.), lucerne (Medicago sativa L.)) will improve and it will be possible to grow more productive varieties of the currently grown crops (spring wheat (Triticum aestivum L.), barley (Hordeum vulgare L.), oats (Avena sativa L.)). Also cultivation of autumn sown crops could increase if winters become milder and shorter, promoting overwintering success. Climatic conditions may on the other hand become restrictive in many ways. For example, early season droughts could intensify because of higher temperatures and consequent higher evaporation rates. Current low winter temperatures and short growing season help restrict the development and spread of pests and pathogens, but this could change in the future. Longer growing seasons, warmer autumns and milder winters may initiate new problems with higher occurrences of weeds, pests and pathogens, including new types of viruses and virus vectors. Anoxia of overwintering crops caused by ice encasement, and physical damage caused by freezing and melting of water over the fields may also increase. In this study we identify the most likely changes in crop species and varieties in Finland and the pest and pathogen species that are most likely to create production problems as a result of climate change during this century.;



1997 ◽  
Vol 77 (4) ◽  
pp. 535-541 ◽  
Author(s):  
S. D. Wanniarachchi ◽  
R. P. Voroney

Phytotoxicity of root, stem and leaf residues of canola (Brassica napus L.) was studied in a laboratory incubation for 8 wk. Bioassays were conducted with corn (Zea mays L.), barley (Hordeum vulgare L.) and wheat (Triticum aestivum L.) seeds to determine the relative toxicity of residue extracts. The release of volatile fatty acids (VFAs) and phenolic compounds (PCs) during incubation was studied to assess the role of these compounds in phytotoxicity. Canola residue extracts significantly inhibited (P ≤ 0.01) seedling growth (coleoptile and radicle lengths) of all crop species tested, with leaf and root residues causing the greatest and least toxicity, respectively. Incubation temperature had no impact on the toxicity of extracts. All residue extracts had VFAs prior to and during the incubation, with leaf residues producing relatively high levels of VFAs. The release of VFAs declined drastically during the incubation period. The release of PCs, measured as total phenolic compounds in extracts, was highest in leaf residues and remained higher than those of root or stem residues. Toxicity of residue extracts was not related to the amounts of VFAs and PCs found. However, toxicity appeared to be most related to the presence of total phenolic compounds in residue extracts. Key words: Phytotoxicity, canola residues, volatile fatty acids, phenolic compounds, residue decomposition



2002 ◽  
Vol 42 (7) ◽  
pp. 985 ◽  
Author(s):  
R. F. Brennan ◽  
M. D. A. Bolland

The yield and zinc content response of canola (Brassica napus L.), albus lupin (Lupinus albus L.), durum wheat (Triticum durum L.) and spring wheat (Triticum aestivum L.) to applications of zinc fertiliser were compared in a glasshouse experiment using 2 alkaline soils from south-western Australia. Five amounts of zinc applied as zinc sulfate were either added just before sowing (current zinc) or incubated in moist soil for 50 days (incubated zinc) before sowing seeds. Comparative zinc requirements were determined from yields of 40-day-old dried shoots for: (i) zinc already present in the soil (indigenous zinc); (ii) the amount of fertiliser zinc required to produce the same percentage of the maximum (relative) yield of dried shoots; and (iii) the zinc content of dried shoots (zinc concentration multiplied by yield of dried shoots). The concentration of zinc in youngest tissue and in dried shoots was used to determine critical concentrations for zinc in tissue. Albus lupin used indigenous, current and incubated zinc more effectively than canola, followed by spring wheat and then durum wheat. Albus lupin and canola were about 30 and 40% more effective at using fertiliser zinc than spring wheat. Durum wheat was about 20% less effective than spring wheat. Relative to current zinc, the effectiveness of incubated zinc declined by about 60% for both spring and durum wheat, and by 50% for canola and albus lupin. The critical zinc concentrations in the youngest tissue, associated with 90% of the relative yield, were (mg zinc/kg): 14 for spring wheat, 20 for durum wheat, 16 for albus lupin and 15 for canola. Corresponding values for dried shoots (mg zinc/kg) were: 32 for spring wheat, 25 for durum wheat, 22 for albus lupin and 23 for canola.



2006 ◽  
Vol 46 (5) ◽  
pp. 675 ◽  
Author(s):  
R. F. Brennan ◽  
M. D. A. Bolland

The predominantly sandy soils of south-western Australia have become potassium (K) deficient for spring wheat (Triticum aestivum L.) production due to the removal of K from soil in grain and hay. The K requirements of canola (rape, Brassica napus L.) grown in rotation with wheat on these soils are not known and were determined in the study reported here. Seed (grain) yield increases (responses) of canola to applications of fertiliser K occurred at sites where Colwell soil test K values (top 10 cm of soil) were <60 mg/kg soil. Grain yield responses to applied K occurred when concentrations of K in dried shoots were <45 g/kg for young plants 7 and 10 weeks after sowing and <35 g/kg for 18 weeks after sowing. Application of fertiliser K had no significant effects on either oil or K concentrations in grain.



2013 ◽  
Vol 64 (5) ◽  
pp. 424 ◽  
Author(s):  
G. Watmuff ◽  
D. J. Reuter ◽  
S. D. Speirs

During the past 50 years, 3800 field experiments yielding over 5200 treatment series were conducted in Australia examining yield responses to applied N, P, K, or S fertiliser applications to cereal, oilseed and pulse crops. The experiments all had accompanying soil test data. These data were entered into multiple Microsoft Access® database templates and then consolidated into a single national online MYSQL® database. A web application (named the BFDC Interrogator) was also developed to rapidly access the national database (BFDC National Database) and construct soil test calibrations between percentage of the maximum grain yield achieved (hereafter called percentage relative yield) and soil test values recorded for specified ranges of regional or national experiments. Search parameters were applied to define soil test calibrations. These included farming system (dryland or irrigated), year of experiment, soil type, crop type, soil test, depth of soil sampling and soil test units. Other data filters based on site metadata, such as method of nutrient placement, can be applied to enable more definitive calibrations. The calibrations are used to derive critical soil test values at 80, 90 and 95% relative crop yield with 95% confidence limits. However, the soil test criteria at 90% relative crop yield with 70% confidence limits have been chosen as the single calibration and reliability standard for all crops and soil tests. Corresponding yield increase (t/ha)–soil test relationships for an applied nutrient can also be accessed. The BFDC National Database and BFDC Interrogator can now be accessed online by trained, registered users. This paper describes the methodologies that underpinned the progressive development of this tool. Through the commitment of the grains and fertiliser industries, it is anticipated that the calibrations will be used to improve decision support systems used to generate fertiliser recommendations for Australian cropping industries.



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