scholarly journals Sire Selection Decisions and Farm Profitability Relationships for Ontario Dairy Fanners

1991 ◽  
Vol 74 (11) ◽  
pp. 3994-4001 ◽  
Author(s):  
Alfons Weersink ◽  
Wayne H. Howard ◽  
Jack C.M. Dekkers ◽  
Michael Lohuis
EDIS ◽  
2018 ◽  
Vol 2018 (1) ◽  
Author(s):  
Francisco Peñagaricano

Sire selection is one of the most important decisions that a dairy producer makes. It represents a great opportunity to improve the profitability of the dairy production enterprise. This new 3-page fact sheet reviews some key concepts that should be considered in order to make proper selection decisions and discusses alternative methods for selecting sires based on multiple traits. Written by Francisco Peñagaricano, and published by the UF/IFAS Department of Animal Sciences, January 2018.  http://edis.ifas.ufl.edu/an337


2018 ◽  
Vol 45 (1) ◽  
pp. 92-107
Author(s):  
Kyeong Soo Jeong ◽  
◽  
Dongmyung Lee ◽  
Mirang Seo ◽  
◽  
...  

2021 ◽  
Author(s):  
Veronique Ouellet ◽  
Gaëtan F. Tremblay ◽  
Jean‐Philippe Laroche ◽  
Gilles Bélanger ◽  
Simon Binggeli ◽  
...  

2017 ◽  
Vol 36 (1) ◽  
pp. 14-26 ◽  
Author(s):  
Sanne A. M. Rijkhoff ◽  
Season A. Hoard ◽  
Michael J. Gaffney ◽  
Paul M. Smith

Although much of the social science literature supports the importance of community assets for success in many policy areas, these assets are often overlooked when selecting communities for new infrastructure facilities. Extensive collaboration is crucial for the success of environmental and economic projects, yet it often is not adequately addressed when making siting decisions for new projects. This article develops a social asset framework that includes social, creative, and human capital to inform site-selection decisions. This framework is applied to the Northwest Advanced Renewables Alliance project to assess community suitability for biofuel-related developments. This framework is the first to take all necessary community assets into account, providing insight into successful site selection beyond current models. The framework not only serves as a model for future biorefinery projects but also guides tasks that depend on informed location selection for success.


Author(s):  
Manish K. Pathak ◽  
Sudhir K. Singh ◽  
M. S. Mahesh ◽  
Srilatha Atmakuri ◽  
B. Chandran ◽  
...  

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