In southeastern Australia, Fusarium crown rot, caused by Fusarium culmorum or F. pseudograminearum, is an increasingly important disease of cereals. Because in-crop control options are limited, it is important for growers to know prior to planting which fields are at risk of yield loss from crown rot. Understanding the relationships between crown rot inoculum and yield loss would assist in assessing the risk of yield loss from crown rot in fields prior to planting. Thirty-five data sets from crown rot management experiments conducted in the states of South Australia and Victoria during the years 2005 to 2010 were examined. Relationships between Fusarium spp. DNA concentrations (inoculum) in soil samples taken prior to planting and disease development and grain yield were evaluated in seasons with contrasting seasonal rainfall. F. culmorum and F. pseudograminearum DNA concentrations in soil prior to planting were found to be positively related to crown rot expression (stem browning and whiteheads) and negatively related to grain yield of durum wheat, bread wheat, and barley. Losses from crown rot were greatest when rainfall during September and October (crop maturation) was below the long-term average. Losses from crown rot were greater in durum wheat than bread wheat and least in barley. Yield losses from F. pseudograminearum were similar to yield losses from F. culmorum. Yield loss patterns were consistent across experiments and between states; therefore, it is reasonable to expect that similar relationships will occur over broad geographic areas. This suggests that quantitative polymerase chain reaction technology and soil sampling could be powerful tools for assessing crown rot inoculum concentrations prior to planting and predicting the risk of yield loss from crown rot wherever this disease is an issue.
Comprehensive data on grain yield responsiveness to applications of the major nutrients nitrogen, phosphorus, potassium, sulfur in Australian cropping experiments have been assembled in the Better Fertiliser Decisions for Cropping (BFDC) National Database for scrutiny by the BFDC Interrogator. The database contains the results of individual field experiments on nutrient response that need to be collectively integrated into a model that predicts probable grain yield response from soil tests. The potential degree of grain yield responsiveness (relative yield, RY%) is related to nutrient concentration in the soil (soil test value, STV) across a range of experimental sites and conditions for each nutrient. The RY% is defined as RY = Y0/Ymax *100, where Y0 is the yield without applied nutrient, and Ymax is the yield which could be attained through adequate application of the nutrient, given sufficiency of all other nutrients. The raw data for RY and STV are transformed so that a linear regression model can be applied. The BFDC Interrogator uses the arcsine-log calibration curve (ALCC) algorithm to estimate a critical soil test value (CSTV) for a given nutrient. The CSTV is defined as the value that would, on average for the broad agronomic circumstances of the incoming crop, lead to a specified percentage of Ymax (e.g. RY = 90%) without any application of that nutrient. This paper describes the ALCC algorithm, which has been developed to ensure that such estimated CSTVs, with safeguards, are reliable and to as high a precision as is realistic.
Determinaten: das Ertragspotential der Kultur ohne Unkrautkonkurrenz, die Unkrautdichte und die Entwicklungsstadien von Unkraut und Kultur bei der Behandlung. Die Beweiskraft der benutzten Daten zeigt, daB eine fast lineare Beadehung zwischen der Unkrautdichte bei der Behandlung und dem Ertrag besteht. Das Modell basierte auf dieser Erwartung, die zur sehr kurvilinearen Beziehung zwischen Ertrag und unbehandelter Verunkrautung in Gegensatz steht. Dieser Unterschied wird darauf zuruckgefuhrt, daB behandelte Unkrauter eine geringere Konkurrenz ausliben als unbehandelte.
Abstract. Changes in the levels of specific gut bacteria have been linked to improved broiler feed efficiency. Quantitative polymerase chain reaction (qPCR) assays were developed to five potential performance-related bacteria (Lactobacillus salivarius, L. crispatus, L. aviarius, Gallibacterium anatis and Escherichia coli) and generic eubacteria. These were used to screen broiler gut samples from four geographically diverse Australian feeding trials showing significant treatment-related differences in feed efficiency. It was our aim to validate the association of particular bacteria with broiler feed efficiency across a broad range of environmental and dietary conditions, and hence to evaluate their predictive potential for monitoring broiler performance. Across trials L. salivarius, L. crispatus, L. aviarius, E. coli and total eubacterial numbers were significantly altered by diet, environment (litter), and/or sex of birds. Furthermore, changes in the numbers of these gut bacteria were significantly linked to broiler performance. Lactobacilli and total eubacteria were significantly decreased in birds that were more feed efficient. E. coli was not consistently linked with either improved or decreased performance and these discrepancies may be due to differences at the strain level which were not detectable using our assays. G. anatis was detected only in two of the four trials and found not to be significantly linked with broiler performance. These qPCR assays have been useful in either validating or disproving previous reported findings for the association of specific gut bacteria with broiler feed efficiency. This qPCR format can be easily expanded to include other organisms and used as a quantitative screening tool in evaluating dietary additives for improved broiler production.
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