Author: Robert C. Elston
Publisher:
ISBN:
Category : Bulls
Languages : en
Pages : 210
Book Description
The Estimation of Genetic Gain in Milk Yield Due to Sire Selection Over a Period of Time
Author: Robert C. Elston
Publisher:
ISBN:
Category : Bulls
Languages : en
Pages : 210
Book Description
Publisher:
ISBN:
Category : Bulls
Languages : en
Pages : 210
Book Description
Advances in Breeding of Dairy Cattle
Author: Julius Van der Werf
Publisher:
ISBN: 9781786762986
Category : Cattle
Languages : en
Pages : 659
Book Description
Publisher:
ISBN: 9781786762986
Category : Cattle
Languages : en
Pages : 659
Book Description
Genetic Trends of Daughters of Bulls Selected for Milk Yield
Author: Gurdas Singh Dass
Publisher:
ISBN:
Category : Dairy cattle
Languages : en
Pages : 262
Book Description
Publisher:
ISBN:
Category : Dairy cattle
Languages : en
Pages : 262
Book Description
Estimation of Genetic Parameters and Sire Rankings for Holstein Linear Type Scores and Milk Production by Multiple Trait Analysis
Author: Bobby Dennis Banks
Publisher:
ISBN:
Category : Dairy cattle
Languages : en
Pages : 398
Book Description
Publisher:
ISBN:
Category : Dairy cattle
Languages : en
Pages : 398
Book Description
Rates of Improvement by Progeny Testing in Dairy Herds of Various Sizes
Author: Lawrence William Specht
Publisher:
ISBN:
Category : Artificial insemination
Languages : en
Pages : 186
Book Description
Publisher:
ISBN:
Category : Artificial insemination
Languages : en
Pages : 186
Book Description
Reproductive Performance in Genetic Lines Selected for High Or Average Milk Yield
Author: William H. Hageman
Publisher:
ISBN:
Category :
Languages : en
Pages : 170
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 170
Book Description
Genetic and Genetic-feeding Regimen Interaction Effects on Lactation, Growth and Carcass Traits in Dairy Cattle
Author: Suwat Rattanaronchart
Publisher:
ISBN:
Category : Cattle
Languages : en
Pages : 260
Book Description
Publisher:
ISBN:
Category : Cattle
Languages : en
Pages : 260
Book Description
Procedures for Estimating Genetic Progress for Milk Production in the Tropics
Author: Ben-Yusuf Abubakar
Publisher:
ISBN:
Category : Dairy cattle
Languages : en
Pages : 228
Book Description
Publisher:
ISBN:
Category : Dairy cattle
Languages : en
Pages : 228
Book Description
In Vivo Conservation of Animal Genetic Resources
Author: Food and Agriculture Organization of the United Nations
Publisher: Food & Agriculture Organization of the UN (FAO)
ISBN:
Category : Science
Languages : en
Pages : 272
Book Description
These guidelines present the basic concepts involved in the development and implementation of in vivo conservation plans for animal genetic resources for food and agriculture. The guidelines are intended for use by policy-makers in the management of animal genetic resources, managers of animal breeding organizations, persons responsible for training in management of animal genetic resources and any other stakeholders with leading roles in designing and implementing in vivo conservation programmes for animal genetic resources. Although individual breeders and livestock keepers are not the direct target audience, the guidelines include background information that is relevant for all stakeholders involved in planning conservation programmes.
Publisher: Food & Agriculture Organization of the UN (FAO)
ISBN:
Category : Science
Languages : en
Pages : 272
Book Description
These guidelines present the basic concepts involved in the development and implementation of in vivo conservation plans for animal genetic resources for food and agriculture. The guidelines are intended for use by policy-makers in the management of animal genetic resources, managers of animal breeding organizations, persons responsible for training in management of animal genetic resources and any other stakeholders with leading roles in designing and implementing in vivo conservation programmes for animal genetic resources. Although individual breeders and livestock keepers are not the direct target audience, the guidelines include background information that is relevant for all stakeholders involved in planning conservation programmes.
Outlier Analysis
Author: Charu C. Aggarwal
Publisher: Springer
ISBN: 3319475789
Category : Computers
Languages : en
Pages : 481
Book Description
This book provides comprehensive coverage of the field of outlier analysis from a computer science point of view. It integrates methods from data mining, machine learning, and statistics within the computational framework and therefore appeals to multiple communities. The chapters of this book can be organized into three categories: Basic algorithms: Chapters 1 through 7 discuss the fundamental algorithms for outlier analysis, including probabilistic and statistical methods, linear methods, proximity-based methods, high-dimensional (subspace) methods, ensemble methods, and supervised methods. Domain-specific methods: Chapters 8 through 12 discuss outlier detection algorithms for various domains of data, such as text, categorical data, time-series data, discrete sequence data, spatial data, and network data. Applications: Chapter 13 is devoted to various applications of outlier analysis. Some guidance is also provided for the practitioner. The second edition of this book is more detailed and is written to appeal to both researchers and practitioners. Significant new material has been added on topics such as kernel methods, one-class support-vector machines, matrix factorization, neural networks, outlier ensembles, time-series methods, and subspace methods. It is written as a textbook and can be used for classroom teaching.
Publisher: Springer
ISBN: 3319475789
Category : Computers
Languages : en
Pages : 481
Book Description
This book provides comprehensive coverage of the field of outlier analysis from a computer science point of view. It integrates methods from data mining, machine learning, and statistics within the computational framework and therefore appeals to multiple communities. The chapters of this book can be organized into three categories: Basic algorithms: Chapters 1 through 7 discuss the fundamental algorithms for outlier analysis, including probabilistic and statistical methods, linear methods, proximity-based methods, high-dimensional (subspace) methods, ensemble methods, and supervised methods. Domain-specific methods: Chapters 8 through 12 discuss outlier detection algorithms for various domains of data, such as text, categorical data, time-series data, discrete sequence data, spatial data, and network data. Applications: Chapter 13 is devoted to various applications of outlier analysis. Some guidance is also provided for the practitioner. The second edition of this book is more detailed and is written to appeal to both researchers and practitioners. Significant new material has been added on topics such as kernel methods, one-class support-vector machines, matrix factorization, neural networks, outlier ensembles, time-series methods, and subspace methods. It is written as a textbook and can be used for classroom teaching.