Literature DB >> 24220962

Mixing ability analysis of wheat cultivar mixtures under diseased and nondiseased conditions.

E A Knott1, C C Mundt.   

Abstract

Mixing ability analyses, adapted from combining ability analyses used in plant breeding, were performed on yield and stripe rust (Puccinia striiformis) severity data for two-way mixtures among either four or five club wheat (Triticum aesitivum) cultivars grown in five environments. Initially, two statistics were calculated for each trait: general mixing ability (GMA), the average performance of a cultivar over all of the mixtures, and specific mixing ability (SMA), the deviation of a mixture from the estimated performance of the pair based on its average performance in mixtures. General mixing ability was further divided into two components: genotype performing ability (GPA), the innate ability of a cultivar to yield and resist disease in pure stand, and true general mixing ability (TGMA), the average ability of a cultivar to influence yield and disease when mixed with other cultivars. Significant mean squares for genotypes, GMA, SMA, and TGMA were found for all of the traits in most environments. Examination of TGMA and SMA revealed cultivars and cultivar combinations that were statistically better "mixers" than the others. Some of the significant effects were probably due to the use of cultivars that differed in height and stripe rust resistance, but for other combinations there was no apparent explanation for enhanced mixing ability.

Entities:  

Year:  1990        PMID: 24220962     DOI: 10.1007/BF00210065

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  2 in total

1.  STUDIES ON COMPETITION IN RICE I. COMPETITION IN MIXTURES OF VARIETIES.

Authors:  Peter R Jennings; Jose de Jesus
Journal:  Evolution       Date:  1968-03       Impact factor: 3.694

2.  Analysis and interpretation of the variety cross diallel and related populations.

Authors:  C O Gardner; A S Eberhart
Journal:  Biometrics       Date:  1966-09       Impact factor: 2.571

  2 in total
  4 in total

1.  From cultivar mixtures to allelic mixtures: opposite effects of allelic richness between genotypes and genotype richness in wheat.

Authors:  Germain Montazeaud; Timothée Flutre; Elsa Ballini; Jean-Benoit Morel; Jacques David; Johanna Girodolle; Aline Rocher; Aurélie Ducasse; Cyrille Violle; Florian Fort; Hélène Fréville
Journal:  New Phytol       Date:  2022-01-26       Impact factor: 10.323

2.  Multi-Species Genomics-Enabled Selection for Improving Agroecosystems Across Space and Time.

Authors:  Marnin D Wolfe; Jean-Luc Jannink; Michael B Kantar; Nicholas Santantonio
Journal:  Front Plant Sci       Date:  2021-06-23       Impact factor: 5.753

3.  Stabilization of yield in plant genotype mixtures through compensation rather than complementation.

Authors:  Henry E Creissen; Tove H Jorgensen; James K M Brown
Journal:  Ann Bot       Date:  2013-09-18       Impact factor: 4.357

4.  Impact of disease on diversity and productivity of plant populations.

Authors:  Henry E Creissen; Tove H Jorgensen; James K M Brown
Journal:  Funct Ecol       Date:  2015-09-23       Impact factor: 5.608

  4 in total

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