Finding Ranking of Testers in Line X Tester Experiments

Jan Bocianowski, Kamila Nowosad, Henryk Brzeskwiniewicz, Tadeusz Łuczkiewicz

Abstract


Improvement of crop traits, mainly the characteristics of yield and the extension of genetic variability is the goal of many of breeding projects. It can be realized e.g. by using appropriate forms of parental crosses schemes. If we have a large number of inbred lines (genotypes) experiments is carried out with hybrids obtained by crossing a line × tester (testers). Analyzed the expression of characteristics (usually yield) in F1 hybrids, we can assess the value of the breeding lines. An important question is the selection of testers (tester), which should diversify in the maximum degree analyzed trait (yield) in hybrids. In this paper we presents a model for obtaining ranking testers. This may be important diagnostic tool in breeding selection to obtained new hybrids with significant transgressive effects. An example of the results of field experiments were of spring rape. In this experiment, general combining ability (GCA) effects was evaluated in the F1 generation. The results indicate different (depending on the used testers and analyzed traits) evaluate the GCA effects of inbred line. This approach is new to the practice of breeding and may be useful to the effective selection of the best testers.


Keywords


Line  tester system crossing; general combining ability; specific combining ability; block design

Full Text:

PDF

References


Sprague GF, Tatum LA. General vs specific combining ability in single crosses of corn. J. Am. Soc. Agron. 1942, 34:923-952

Manivannan N, Ganesan J. Line  tester analysis in sesame (Sesamum indicum L). Ind. J. Agric. Res. 2001, 35(2):90-94

Ahmed EA, Ibn Oaf HS, El Jack AE. Combining ability and heterosis in line x tester crosses of summer squash (Cucurbita pepo L.). Cucurbit Genetics Cooperative Report 2003, 26:54-56

Singh NK, Kumar A. Combining ability analysis to identify suitable parents for heterotic rice hybrid breeding. IRRN 2004, 29(1):21-22

Bocianowski J. A comparison of two methods to estimate additive-by-additive interaction of QTL effects by a simulation study. Journal of Theoretical Biology 2012a, 308:20-24

Bocianowski J. Analytical and numerical comparisons of two methods of estimation of additive × additive interaction of QTL effects. Scientia Agricola 2012b, 69(4):240-246

Bocianowski J. The use of weighted multiple linear regression to estimate QTL-by-QTL epistatic effects. Genetics and Molecular Biology 2012c, 35(4):802-809

Bocianowski J. Epistasis interaction of QTL effects as a genetic parameter influencing estimation of the genetic additive effect. Genetics and Molecular Biology 2013, 36(1):93-100

Bocianowski J. Estimation of epistasis in doubled haploid barley populations considering interactions between all possible marker pairs. Euphytica 2014, 196:105-115

Bocianowski J, Nowosad K. Mixed linear model approaches in mapping QTLs with epistatic effects by a simulation study. Euphytica 2015, DOI: 10.1007/s10681-014-1329-4

Jenkins MT, Brunson AM. Methods of testing inbred lines of maize in crossbred combinations. J. Am. Soc. Agron. 1932, 24:523-530

Matzinger DF. Comparison of three types of testers for the evaluation of inbred lines of corn. Agronomic Journal 1953, 45:493-495

Rawlings JO, Thompson DI. Performance level as criterion for the choice of maize testers. Crop Science 1962, 2:217-220

Allison JCS, Curnow RW. On the choice of tester parent for the breeding of synthetic varieties of maize (Zea mays L.). Crop Science 1966, 6:641-644

Hallauer AR. Relation of gene action and type of testers in maize breeding procedure. Proc. Ann. Corn, Sorghum Res. Conf. 1975, 30:150-165

Hallauer AR, Miranda JB. Quantitative genetics in maize breeding. Iowa: Iowa State Univ. Press Ames; 1988.

Russell WA, Blackburn DJ, Lamkey KR. Evaluation of modified reciprocal recurrent selection procedure for maize improvement. Maydica 1992, 37:61-67

Menz MA, Hallauer AR, Russell WA. Comparative response of two reciprocal recurrent selection methods in BS21 and BS22 maize population. Crop Science 1999, 39:89-97

Horner ES, Lundy WH, Lutric MC, Chapman WH. Comparison of three methods of recurrent selection in maize. Crop Science 1976, 16:5-8

Russell WA, Eberhart SA. Hybrid performance of selected maize lines from reciprocal recurrent selection and test selection programs. Crop Science 1975, 15:1-4

Yan W, Hunt LA. Biplot analysis of diallel data. Crop Science 2002, 42:21-30

Ceranka B, Kaczmarek Z. Estymatory kombinowane efektów GCA i SCA w doświadczeniach linia  tester zakładanych w układach BIB. Colloquium Biometryczne 1995, 25:381-394

Brzeskwiniewicz H, Łuczkiewicz T. Modification of general combining abilities in line  tester crossing systems. Scien. Pap. of Agric. Univ. of Poznań, Agric. 2002, 3:23-27

Brzeskwiniewicz H, Łuczkiewicz T. Some ranking of lines in line  tester crossing systems. Colloquium Biometryczne 2005, 35:93-101

Brzeskwiniewicz H, Łuczkiewicz T. Układy zrównoważone oraz z grupowo podzielnymi obiektami w doświadczeniach typu linia  tester. Roczniki Akademii Rolniczej w Poznaniu CCCXXVIII, Rolnictwo 2000, 59:13-18


Refbacks

  • There are currently no refbacks.


AJCG Copyright © 2012-2020. All rights reserved. Published by Ivy Union Publishing, 3204 Valley Rush Dr, Apex, North Carolina 27502, United States