Actions Tools Choose a colour. Quantitative genetics has allowed the integration Quantitative genetics in maize breeding. Quantitative genetics quantitative genetics Subject Category: Miscellaneous see more details has allowed the integration of prebreeding with cultivar development by characterizing populations genetically, adapting them to places never thought of e. Quantitative Genetics in Maize Breeding aims to increase awareness of the relative value and impact of maize breeding for food, feed, and fuel security. Without breeding programs breeding programs Subject Category: Miscellaneous see more details breeding programs Subject Category: Miscellaneous see more details continuously developing improved germplasm germplasm Subject Category: Miscellaneous see more details , no technology can develop improved cultivars cultivars Subject Category: Organism Groups see more details.
Plant breeding at Hohenheim
This volume presents principles and data that can be applied to maximize genetic improvement genetic improvement Subject Category: Miscellaneous see more details of germplasm and develop superior genotypes in different crops. This is a unique and permanent contribution to breeders, geneticists, students, policy makers, and land grant institutions still promoting quality research in applied plant breeding as opposed to promoting grant monies and indirect costs at any short term cost. The book is dedicated to those who envision the development of the next generation of cultivars with less need of water and inputs, with better nutrition; and with higher percentages of exotic germplasm as well as those that pursue independent research goals before searching for funding.
Back to top. Edit annotation. Cancel Edit annotation. Add annotation.
Recommended for you
Cancel Add annotation. Print citation. Cancel Print.
Email citation. Please enter a valid email address. Cancel Send. Export citation list.
- Money-Driven Medicine.
- Quantitative Genetics in Maize Breeding - Arnel R. Hallauer, J. B. Miranda Filho - Google книги.
- Yan Kits Classic Chinese Cookbook.
- Get this edition?
Records to Export: Export upto 10, records per session in batches of max. Cancel Export.
Plant and Soil Sciences eLibrary:: Print Lesson
Remove search. Are you sure you want to remove this search from Saved Searches? Cancel Remove search. Quantitative genetics.
Notes Includes bibliographical references. Includes bibliographies and index. View online Borrow Buy Freely available Show 0 more links Set up My libraries How do I set up "My libraries"? Australian National University Library. Open to the public. Black Mountain Library. May not be open to the public ; Open to the public ; Wollongbar Primary Industries Institute Library.
Not open to the public Open to the public N University of Sydney Library. Barr Smith Library. None of your libraries hold this item.
Found at these bookshops Searching - please wait We were unable to find this edition in any bookshop we are able to search. B Corresponding author. Email: mark. The premise that is explored in this paper is that in some cases, in order to make progress in the design of molecular breeding strategies for complex traits, we will need a theoretical framework for quantitative genetics that is grounded in the concept of gene-networks.
The E NK model is discussed as a starting point for building such a theoretical framework for complex trait genetics.
Quantitative Genetics In Maize Breeding
Additional keywords: gene-networks, interaction, prediction, validation, complexity. An earlier version of this paper was published in the Proceedings of the 4th International Crop Science Congress, held in Brisbane, 26 September—1 October We thank the Congress organisers for permission to publish this updated manuscript. Our many colleagues at Pioneer have contributed much to the ideas reviewed in this paper.
We thank Stu Kauffman for many stimulating and thought-provoking discussions over the years. Bill Muir provided many valuable comments and suggestions on early and advanced drafts of this manuscript. The innovative research atmosphere that exists at the Santa Fe Institute and the discussions we have had with other researchers via this highly connected intellectual network node have contributed to the ideas reviewed in this paper.