[PDF] Performance Stability Parameters Genetic Effects And Prediction Of Performance In Single Three Way And Double Cross Hybrids Of Sorghum Sorghum Bicolor L Moench - eBooks Review

Performance Stability Parameters Genetic Effects And Prediction Of Performance In Single Three Way And Double Cross Hybrids Of Sorghum Sorghum Bicolor L Moench


Performance Stability Parameters Genetic Effects And Prediction Of Performance In Single Three Way And Double Cross Hybrids Of Sorghum Sorghum Bicolor L Moench
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Performance Stability Parameters Genetic Effects And Prediction Of Performance In Single Three Way And Double Cross Hybrids Of Sorghum Sorghum Bicolor L Moench


Performance Stability Parameters Genetic Effects And Prediction Of Performance In Single Three Way And Double Cross Hybrids Of Sorghum Sorghum Bicolor L Moench
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Author : George Anthony Ombakho
language : en
Publisher:
Release Date : 1994

Performance Stability Parameters Genetic Effects And Prediction Of Performance In Single Three Way And Double Cross Hybrids Of Sorghum Sorghum Bicolor L Moench written by George Anthony Ombakho and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with categories.




Dissertation Abstracts International


Dissertation Abstracts International
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Author :
language : en
Publisher:
Release Date : 1995

Dissertation Abstracts International written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Dissertations, Academic categories.




Intsormil Sorghum And Millet Collaborative Research Support Program Crsp Bibliography


Intsormil Sorghum And Millet Collaborative Research Support Program Crsp Bibliography
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Author : USAID Title XII Collaborative Research Support Program on Sorghum and Pearl Millet
language : en
Publisher:
Release Date : 2002

Intsormil Sorghum And Millet Collaborative Research Support Program Crsp Bibliography written by USAID Title XII Collaborative Research Support Program on Sorghum and Pearl Millet and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Millets categories.




Comprehensive Dissertation Index


Comprehensive Dissertation Index
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Author :
language : en
Publisher:
Release Date : 1984

Comprehensive Dissertation Index written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Dissertations, Academic categories.


Vols. for 1973- include the following subject areas: Biological sciences, Agriculture, Chemistry, Environmental sciences, Health sciences, Engineering, Mathematics and statistics, Earth sciences, Physics, Education, Psychology, Sociology, Anthropology, History, Law & political science, Business & economics, Geography & regional planning, Language & literature, Fine arts, Library & information science, Mass communications, Music, Philosophy and Religion.



Comprehensive Dissertation Index Agriculture


Comprehensive Dissertation Index Agriculture
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Author :
language : en
Publisher:
Release Date : 1984

Comprehensive Dissertation Index Agriculture written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Dissertations, Academic categories.




Quantitative Trait Loci Affecting The Agronomic Performance Of A Sorghum Bicolor L Moench Recombinant Inbred Restorer Line Population


Quantitative Trait Loci Affecting The Agronomic Performance Of A Sorghum Bicolor L Moench Recombinant Inbred Restorer Line Population
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Author : Jorge Luis Moran Maradiaga
language : en
Publisher:
Release Date : 2003

Quantitative Trait Loci Affecting The Agronomic Performance Of A Sorghum Bicolor L Moench Recombinant Inbred Restorer Line Population written by Jorge Luis Moran Maradiaga and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with categories.


Lately the rate of genetic gain in most agronomic crop species has been reduced due to several factors that limit breeding efficiency and genetic gain. New genetic tools and more powerful statistical analyses provide an alternative approach to enhance genetic improvements through the identification of molecular markers linked to genomic regions or QTLs controlling quantitative traits. The main objective of this research was to identify genomic regions associated with enhanced agronomic performance in lines per se and hybrid combination in Sorghum bicolor (L.) Moench. A population composed of 187 F5:6 recombinant inbred lines (RIL) was derived from the cross of restorer lines RTx430 and RTx7000. Also, a testcross hybrid population (TCH) was developed by using each RIL as a pollinator onto ATx2752. A linkage map was constructed using 174 marker loci generated from AFLP and SSR primer combinations. These markers were assigned to 12 different linkage groups. The linkage map covers 1573 cM with marker loci spaced at an averaged 9.04 cM. In this study, 89 QTL that control variation in seven different morphological traits were identified in the recombinant inbred line population, while in the testcross hybrid population, 79 QTL were identified. These traits included grain yield, plant height, days to mid-anthesis, panicle number, panicle length, panicle exsertion and panicle weight. These putative QTL explained from 4 to 42% of the phenotypic variation observed for each trait. Many of the QTL were not consistent across populations and across environments. Nevertheless, a few key QTL were identified and the source of the positive additive genetics isolated. RTx7000 was consistently associated with better agronomic performance in RIL, while in testcrosses, RTx430 was. Some genomic regions from RTx7000 may be utilized to improve RTx430 as a line per se. However, it is very unlikely that such regions will have a positive effect on the combining ability of RTx430 since testcross results did not reveal any transgressive segregants from the RIL population.



Production And Breeding Of Chilli Peppers Capsicum Spp


Production And Breeding Of Chilli Peppers Capsicum Spp
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Author : Elizanilda Ramalho do Rêgo
language : en
Publisher: Springer
Release Date : 2016-04-05

Production And Breeding Of Chilli Peppers Capsicum Spp written by Elizanilda Ramalho do Rêgo and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-05 with Science categories.


The book contains aspects of production, genetics and breeding of Capsicum species with emphasis on fruit quality, yield and its nutritional characteristics among with some specific chapters focusing on breeding and physiological features of potted ornamental Chili and responses to abiotic stress and postharvest of fruits.



Quantitative Genetics In Maize Breeding


Quantitative Genetics In Maize Breeding
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Author : Arnel R. Hallauer
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-09-28

Quantitative Genetics In Maize Breeding written by Arnel R. Hallauer and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-28 with Science categories.


Maize is used in an endless list of products that are directly or indirectly related to human nutrition and food security. Maize is grown in producer farms, farmers depend on genetically improved cultivars, and maize breeders develop improved maize cultivars for farmers. Nikolai I. Vavilov defined plant breeding as plant evolution directed by man. Among crops, maize is one of the most successful examples for breeder-directed evolution. Maize is a cross-pollinated species with unique and separate male and female organs allowing techniques from both self and cross-pollinated crops to be utilized. As a consequence, a diverse set of breeding methods can be utilized for the development of various maize cultivar types for all economic conditions (e.g., improved populations, inbred lines, and their hybrids for different types of markets). Maize breeding is the science of maize cultivar development. 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. The principles of quantitative genetics have been successfully applied by maize breeders worldwide to adapt and improve germplasm sources of cultivars for very simple traits (e.g. maize flowering) and very complex ones (e.g., grain yield). For instance, genomic efforts have isolated early-maturing genes and QTL for potential MAS but very simple and low cost phenotypic efforts have caused significant and fast genetic progress across genotypes moving elite tropical and late temperate maize northward with minimal investment. 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 inter-population recurrent selection methods, extracting lines with more probability of success, and exploiting inbreeding and heterosis. Quantitative genetics in maize breeding has improved the odds of developing outstanding maize cultivars from genetically broad based improved populations such as B73. The inbred-hybrid concept in maize was a public sector invention 100 years ago and it is still considered one of the greatest achievements in plant breeding. Maize hybrids grown by farmers today are still produced following this methodology and there is still no limit to genetic improvement when most genes are targeted in the breeding process. Heterotic effects are unique for each hybrid and exotic genetic materials (e.g., tropical, early maturing) carry useful alleles for complex traits not present in the B73 genome just sequenced while increasing the genetic diversity of U.S. hybrids. Breeding programs based on classical quantitative genetics and selection methods will be the basis for proving theoretical approaches on breeding plans based on molecular markers. Mating designs still offer large sample sizes when compared to QTL approaches and there is still a need to successful integration of these methods. There is a need to increase the genetic diversity of maize hybrids available in the market (e.g., there is a need to increase the number of early maturing testers in the northern U.S.). Public programs can still develop new and genetically diverse products not available in industry. However, public U.S. maize breeding programs have either been discontinued or are eroding because of decreasing state and federal funding toward basic science. Future significant genetic gains in maize are dependent on the incorporation of useful and unique genetic diversity not available in industry (e.g., NDSU EarlyGEM lines). The integration of pre-breeding methods with cultivar development should enhance future breeding efforts to maintain active public breeding programs not only adapting and improving genetically broad-based germplasm but also developing unique products and training the next generation of maize breeders producing research dissertations directly linked to breeding programs. This is especially important in areas where commercial hybrids are not locally bred. More than ever public and private institutions are encouraged to cooperate in order to share breeding rights, research goals, winter nurseries, managed stress environments, and latest technology for the benefit of producing the best possible hybrids for farmers with the least cost. We have the opportunity to link both classical and modern technology for the benefit of breeding in close cooperation with industry without the need for investing in academic labs and time (e.g., industry labs take a week vs months/years in academic labs for the same work). This volume, as part of the Handbook of Plant Breeding series, aims to increase awareness of the relative value and impact of maize breeding for food, feed, and fuel security. Without breeding programs continuously developing improved germplasm, no technology can develop improved cultivars. Quantitative Genetics in Maize Breeding presents principles and data that can be applied to maximize genetic improvement of germplasm and develop superior genotypes in different crops. The topics included should be of interest of graduate students and breeders conducting research not only on breeding and selection methods but also developing pure lines and hybrid cultivars in crop species. This volume 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. Scientists are encouraged to use all possible breeding methodologies available (e.g., transgenics, classical breeding, MAS, and all possible combinations could be used with specific sound long and short-term goals on mind) once germplasm is chosen making wise decisions with proven and scientifically sound technologies for assisting current breeding efforts depending on the particular trait under selection. 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. José B. Miranda Filho is full-professor in the Department of Genetics, Escola Superior de Agricultura Luiz de Queiroz - University of São 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, São Paulo, Brazil. 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



American Doctoral Dissertations


American Doctoral Dissertations
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Author :
language : en
Publisher:
Release Date : 1977

American Doctoral Dissertations written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1977 with Dissertation abstracts categories.




Genetic Data Analysis For Plant And Animal Breeding


Genetic Data Analysis For Plant And Animal Breeding
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Author : Fikret Isik
language : en
Publisher: Springer
Release Date : 2017-09-09

Genetic Data Analysis For Plant And Animal Breeding written by Fikret Isik and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-09 with Science categories.


This book fills the gap between textbooks of quantitative genetic theory, and software manuals that provide details on analytical methods but little context or perspective on which methods may be most appropriate for a particular application. Accordingly this book is composed of two sections. The first section (Chapters 1 to 8) covers topics of classical phenotypic data analysis for prediction of breeding values in animal and plant breeding programs. In the second section (Chapters 9 to 13) we provide the concept and overall review of available tools for using DNA markers for predictions of genetic merits in breeding populations. With advances in DNA sequencing technologies, genomic data, especially single nucleotide polymorphism (SNP) markers, have become available for animal and plant breeding programs in recent years. Analysis of DNA markers for prediction of genetic merit is a relatively new and active research area. The algorithms and software to implement these algorithms are changing rapidly. This section represents state-of-the-art knowledge on the tools and technologies available for genetic analysis of plants and animals. However, readers should be aware that the methods or statistical packages covered here may not be available or they might be out of date in a few years. Ultimately the book is intended for professional breeders interested in utilizing these tools and approaches in their breeding programs. Lastly, we anticipate the usage of this volume for advanced level graduate courses in agricultural and breeding courses.