Classification of South African Bread Wheat Cultivars According to Hagberg Falling Number Reaction to Fertilizer Treatment

The difference between the bread wheat and feed wheat prices in the UK (the premium) is an important influence on behaviour throughout the entire grain chain. The aim of the present study was to quantify the influence of grain quality and other factors on interannual variation in the premium calculated as a proportion of the feed price. A hypothetical model of the UK wheat economy was devised, appropriate annual national data from 1982 to 2000 were collected for each component and multiple regression was used to develop a statistical model for the premium.The statistical model included livestock numbers (calculated as pig equivalents), Hagberg falling number and wheat stocks, which together explained 0·80 of the interannual variation in the premium. A high premium was associated with high livestock numbers, low Hagberg falling number and low wheat stocks. These variables were included in the hypothetical model because: livestock numbers represent demand for feed wheat; Hagberg falling number is a quality criterion for purchase of bread wheat with a low value indicating poor quality and thus a smaller supply of bread wheat; wheat stocks are one of the sources of supply of wheat. It was concluded that of the 16 supply, demand or price variables in the hypothetical model the main variables associated with the premium from 1982 to 2000 were demand for feed wheat, quality of the wheat harvest and carry-over of wheat from the previous harvest.

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Hagberg Falling Number and Rheological Properties of Wheat Cultivars in Wet and Dry Preharvest Periods

Plant Production Science ◽

10.1626/pps.16.342 ◽

2013 ◽

Vol 16 (4) ◽

pp. 342-351 ◽

Cited By ~ 1

Author(s):

Srbislav Dencic ◽

Ron DePauw ◽

Borislav Kobiljski ◽

Vojislava Momcilovic

Keyword(s):

Rheological Properties ◽

Wheat Cultivars ◽

Falling Number ◽

Hagberg Falling Number

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Genetic Diversity of South African Winter Wheat Cultivars in Relation to Preharvest Sprouting and Falling Number

Wheat in a Global Environment - Developments in Plant Breeding ◽

10.1007/978-94-017-3674-9_28 ◽

2001 ◽

pp. 237-242

Author(s):

A. Barnard

Keyword(s):

Genetic Diversity ◽

Winter Wheat ◽

South African ◽

Preharvest Sprouting ◽

Wheat Cultivars ◽

Falling Number ◽

Winter Wheat Cultivars

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Nitrogen Metabolism and Yellowberry of Two Bread Wheat Cultivars 1

Crop Science ◽

10.2135/cropsci1983.0011183x002300010007x ◽

1983 ◽

Vol 23 (1) ◽

pp. 20-22 ◽

Cited By ~ 2

Author(s):

James F. Henson ◽

J. Giles Waines

Keyword(s):

Nitrogen Metabolism ◽

Bread Wheat ◽

Wheat Cultivars

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Responses of Some Turkish Wheat Cultivars to Vernalization and Photoperiod

Experimental Agriculture ◽

10.1017/s0014479700015982 ◽

1988 ◽

Vol 24 (2) ◽

pp. 237-245

Author(s):

Serpil Terzioğlu

Keyword(s):

Bread Wheat ◽

Normal Development ◽

Photoperiodic Response ◽

Reliable Information ◽

Floral Initiation ◽

Wheat Cultivars ◽

Primary Shoot ◽

Time Of Year ◽

Short Days

SUMMARYThe vernalization and photoperiodic response of six locally adapted bread wheat cultivars grown under natural daylength conditions during the summer or winter months was examined in glasshouse experiments. The wheat was vernalized by chilling imbibed grains at 2 ± 1°C for 0, 15 or 45 days. Vernalization for 45 days followed by long summer days led to floral initiation in all cultivars within 28 days but vernalization for 0 or 15 days only led to floral initiation in one cultivar. Vernalization followed by long days reduced the time from transplanting to anthesis, resulting in early ear emergence. Vernalization followed by short days accelerated the development of all the cultivars, but normal development could also occur without vernalization at this time of year. Apical differentiation of the primary shoot and its length and development gave the most reliable information on the period of vernalization required.

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A proposed procedure for the analysis of large phytosociological data sets in the classification of South African grasslands

Koedoe ◽

10.4102/koedoe.v38i1.303 ◽

1995 ◽

Vol 38 (1) ◽

Cited By ~ 6

Author(s):

G.J. Bredenkamp ◽

H. Bezuidenhout

Keyword(s):

South African ◽

Plant Communities ◽

Vegetation Type ◽

Second Step ◽

Data Sets ◽

Vegetation Types ◽

Related Plant ◽

Single Cluster ◽

Synoptic Table

A procedure for the effective classification of large phytosociological data sets, and the combination of many data sets from various parts of the South African grasslands is demonstrated. The procedure suggests a region by region or project by project treatment of the data. The analyses are performed step by step to effectively bring together all releves of similar or related plant communities. The first step involves a separate numerical classification of each subset (region), and subsequent refinement by Braun- Blanquet procedures. The resulting plant communities are summarised in a single synoptic table, by calculating a synoptic value for each species in each community. In the second step all communities in the synoptic table are classified by numerical analysis, to bring related communities from different regions or studies together in a single cluster. After refinement of these clusters by Braun-Blanquet procedures, broad vegetation types are identified. As a third step phytosociological tables are compiled for each iden- tified broad vegetation type, and a comprehensive abstract hierarchy constructed.

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