+ Site Statistics
+ Search Articles
+ Subscribe to Site Feeds
EurekaMag Most Shared ContentMost Shared
EurekaMag PDF Full Text ContentPDF Full Text
+ PDF Full Text
Request PDF Full TextRequest PDF Full Text
+ Follow Us
Follow on FacebookFollow on Facebook
Follow on TwitterFollow on Twitter
Follow on LinkedInFollow on LinkedIn

+ Translate

Control and the possibility of predicting breeding progress using computer-aided selection in spring wheat

Control and the possibility of predicting breeding progress using computer-aided selection in spring wheat

Bericht uber die Arbeitstagung der ' Arbeitsgemeinschaft der Saatzuchtleiter' der ' Vereinigung Osterreichischer Pflanzenzuchter' (37): 63-82

Following an outline of the computerized recording of data from yield trials conducted over a number of sites and years, as a basis for the computer-aided selection (CAS) of parents for hybridization, detailed descriptions are presented of the crossing strategy applied, of data management in the breeding nursery, of the application of CAS in the breeding nursery and of verification of breeding progress at the stage of the yield trial. Examples and tabulated data are included.

(PDF emailed within 1 workday: $29.90)

Accession: 001554274

Download citation: RISBibTeXText

Related references

Possibility of predicting the breeding value of hybrids and elite plants in spring bread wheat. Doklady TSKhA (264): 18-22, 1980

Genotypic control of grain quality characters and the effectiveness of predicting the results of selection for them in populations of spring durum wheat. Tsitologiya i Genetika 17(4): 23-28, 1983

Basic principles of selection in breeding (using the example of spring wheat). 1. The level of competition in spring wheat. Biologiya, selektsiya i semenovodstvo zernovykh kul' tur v Zapadnoi Sibiri: 49-55, 1986

The possibility of predicting areas under winter wheat to be resown in spring. Trudy, Ukrainskii Nauchno issledovatel' skii Gidrometeorologicheskii Institut (148): 82-87, 1976

Possibility of markers aided selection for enhancing resistance to spot blotch of wheat caused by B. sorokiniana. Proceedings of Fourth International Wheat Tan Spot and Spot Blotch Workshop, Bemidji, Minnesota, USA, 21-24 July, 2002: 166-169, 2003

The possibility of predicting yields of the F1 and F2 generations of spring wheat by laboratory methods. Genetika a Slechteni 17(2): 97-105, 1981

Computer processing of speaking plant for climate control and computer aided plantation (computer aided cultivation). Acta Horticulturae: (115,ptI) 317-325, 1981

Effect of weather conditions on grain quality of spring wheat and possibility of predicting it. Nauchnye Trudy Instituta Sel' skogo Khozyaistva Yugo Vostoka (34): 81-92, 1975

Influence of coping material selection and porcelain firing on marginal and internal fit of computer-aided design/computer- aided manufacturing of zirconia and titanium ceramic implant-supported crowns. Hua Xi Kou Qiang Yi Xue Za Zhi 34(3): 262-266, 2016

The possibility of predicting the effectiveness of selection and heterotic effects in animal breeding. Geneticheskaya teoriya otbora, podbora i metodov razvedeniya zhivotnykh: 85-97, 118, 1976

Experiments in increasing the yield of spring wheat I, Crosses with brown Schlanstedter spring wheat and a description of Svalof Progress spring wheat. 1943

Computer aided air quality control part 2 predicting the dispersion of airborne effluents. Institute of Environmental Sciences Proceedings 23: 77-84, 1977

The possibility of making use of particular characteristics of seedlings in breeding spring wheat (Triticum aestivum L.). Genetika a Slechteni 17(1): 11-17, 1981

Breeding methodology in wheat. I. Determination of characters measured on F2 spaced plants for yield selection in spring wheat. Crop Science 20(5): 583-586, 1980

Using computer simulation of the selection process and known gene information to assist in parental selection in wheat quality breeding. Australian Journal of Agricultural Research 56(5): 465-473, 2005