Quantitative Genetics in Maize Breeding

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Edition: Reprint
Format: Hardcover
Pub. Date: 2010-10-02
Publisher(s): Springer Verlag
List Price: $349.99

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Summary

Public investment in maize breeding from 1865 to 1996 was $3 billion (Crosbie et al., 2004) and the return on investment was $260 billion as a consequence of applied maize breeding, even without full understanding of the genetic basis of heterosis. Quantitative genetics has allowed the integration of pre-breeding with cultivar development by characterizing populations genetically, adapting them to places never thought of (e.g., tropical to short-seasons), improving them by all sorts of intra- and interpopulation recurrent selection methods, extracting lines with more probability of success, and exploiting inbreeding and heterosis.

Author Biography

Arnel R. Hallauer is C. F. Curtiss Distinguished Professor in Agriculture (Emeritus) at Iowa State University (ISU). Dr. Hallauer has led maize-breeding research for mid-season maturity at ISU since 1958. His work has had a worldwide impact on plant-breeding programs, industry, and students and was named a member of the National Academy of Sciences. Hallauer is a native of Kansas, USA. M.J. Carena is professor of plant sciences at North Dakota State University (NDSU). Dr. Carena has led maize-breeding research for short-season maturity at NDSU since 1999. This program is currently one the of the few public U.S. programs left integrating pre-breeding with cultivar development and training in applied maize breeding. He teaches Quantitative Genetics and Crop Breeding Techniques at NDSU. Carena is a native of Buenos Aires, Argentina. http://www.ag.ndsu.nodak.edu/plantsci/faculty/Carena.htm J. B. Miranda Filho is full-professor in the Department of Genetics, Escola Superior de Agricultura Luiz de Queiroz - University of So Paulo located at Piracicaba, Brazil. His research interests have emphasized development of quantitative genetic theory and its application to maize breeding. Miranda Filho is native of Pirassununga, So Paulo, Brazil.

Table of Contents

Introductionp. 1
Quantitative Geneticsp. 9
Population Improvement: What Do We Mean by Recurrent Selection?p. 11
Inbred Line Developmentp. 16
Conclusionsp. 25
Referencesp. 28
Means and Variancesp. 33
Genetically Narrow- vs. Broad-Based Reference Populationsp. 33
Hardy-Weinberg Equilibriump. 34
Means of Non-inbred Populations and Derived Familiesp. 36
Means of Inbred Populations and Derived Familiesp. 41
Mean of a Cross Between Two Populationsp. 42
Average Effectp. 43
Breeding Valuep. 45
Genetic Variancep. 46
Means and Variances in Backcross Populationsp. 56
Heritability, Genetic Gain, and Usefulness Conceptsp. 57
Generation Mean Analysisp. 60
Referencesp. 66
Resemblance Between Relativesp. 69
Introductionp. 69
Theoretical Basis of Covariancep. 70
Covariance Between Relatives as a Linear Function of Genetic Variancesp. 71
Referencesp. 78
Hereditary Variance: Mating Designsp. 81
Bi-parental Progeniesp. 86
Pure Line Progenies (Analysis in Self-Pollinated Crops)p. 90
Parent-Offspring Regressionsp. 91
Design Ip. 96
Design IIp. 103
Design IIIp. 113
Diallel Methodsp. 119
Partial Diallelp. 133
Triple Testcrossp. 137
Triallel and Quadrallelp. 138
Inbred Linesp. 143
Selection Experimentsp. 146
More on F2 Populations (Special Case of p = q = 0.5)p. 148
Epistasisp. 159
Referencesp. 165
Hereditary Variance: Experimental Estimatesp. 169
Experimental Resultsp. 170
Iowa Stiff Stalk Synthetic (BSSS)p. 179
Selection Experiments vs. Mating Designs for Predictionp. 184
Epistasis Variance and Effectsp. 198
Correlations Among Traits and the Possibility for Indirect Selectionp. 210
Referencesp. 216
Selection: Theoryp. 223
Selection Among Populationsp. 224
Selection of Genotypes Within Populationsp. 225
Intra-population Improvement: Qualitative Traitsp. 233
Intra-population Improvement: Quantitative Traitsp. 236
Comparing Breeding Methodsp. 260
Increasing Gain from Selectionp. 272
Correlation Between Traits and Correlated Response to Selectionp. 276
Multi-trait Selectionp. 282
Referencesp. 285
Selection: Experimental Resultsp. 291
Measuring Changes from Selectionp. 292
Improvement from Intra-population Selectionp. 299
Improvement from Inter-population Selectionp. 337
General Effects of Selectionp. 345
Factors Affecting Efficiency of Selectionp. 358
Referencesp. 373
Testers and Combining Abilityp. 383
Theoryp. 386
Correlations Between Lines and Hybridsp. 399
Visual Selectionp. 404
Genetic Diversityp. 407
Testing Stagep. 408
General vs. Specific Combining Abilityp. 415
Referencesp. 418
Inbreedingp. 425
The Need for Maize Artificial Pollinationp. 425
Early Reports of Inbreedingp. 428
Inbreeding Systemsp. 431
Inbreeding Due to Small Population Sizep. 436
Estimates of Inbreeding Depressionp. 442
Frequency of Useful Linesp. 456
Types of Hybrids Produced from Inbred-Linesp. 458
Heterozygosity and Performancep. 464
Referencesp. 471
Heterosisp. 477
Introduction and Major Achievementsp. 477
Empirical Evidencep. 480
Genetic Basisp. 493
Biometrical Conceptp. 497
Heterosis and Prediction Methods Across Genotypesp. 499
Components of Heterosis in Inter-varietal Diallel Crossesp. 515
Conclusionsp. 519
Referencesp. 523
Germplasmp. 531
Origin of Maizep. 534
Classification of Maize Germplasmp. 538
Races of Maize in the Western Hemispherep. 542
European Races of Maizep. 545
US Corn Belt Germplasmp. 548
Germplasm Improvementp. 552
Potential and Use of Exotic Germplasmp. 558
Referencesp. 570
Breeding Plansp. 577
Choice of Germplasmp. 581
Recurrent Selection and Germplasm Improvementp. 582
Integrating Recurrent Selection with Cultivar Developmentp. 591
Intra-Population Genetic Improvementp. 592
Inter-Population Genetic Improvementp. 609
Additional Considerations for Germplasm Improvementp. 631
Additional Considerations for Inbred Line Developmentp. 647
Referencesp. 649
Indexp. 655
Table of Contents provided by Ingram. All Rights Reserved.

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