1,721,047 research outputs found
Analysis of the USDA’s 2017 Cow-Calf Management Practices Results: Part 2—Breeding Practices/Reproductive Technologies
This paper discusses the use of breeding practices and reproductive technologies in cow-calf operations, and the ways they affect calf crop. Written by Mario Binelli, João Bittar, and Angela Gonella, and published by the UF/IFAS Department of Animal Sciences, December 2021
Analysis of the USDA’s 2017 Cow-Calf Management Practices Results: Part 3—Natural Service and Bull Management
This article aims to present and discuss the most common management practices related to bull use that can impact cow-calf production and to share relevant statistics of bull use based on the last USDA surveys. Written by João Bittar, Mario Binelli, and Angela Gonella, and published by the UF/IFAS Department of Animal Sciences, September 2022
Converting the Beef Cow Herd to a Controlled Breeding Season
This report aims to provide guidance to producers on practical aspects for moving from a system with no defined breeding season to a system with a defined season. Written by Mario Binelli, Thiago Martins, Tim Wilson, Cindy Sanders, Mark Warren, Matt Hersom, and Curt Lacy, and published by the UF/IFAS Department of Animal Sciences, revised January 2023
Analysis of the USDA’s 2017 Cow-Calf Management Practices Results: Part 1—Calf Crop and Calving Distribution
This publication analyzes the calf-crop and calving distribution data reported on NAHMS Beef 1997 and provides insights and practical recommendations. Written by Angela Gonella, Oscar Alejandro Ojeda-Rojas, João Bittar, and Mario Binelli, and published by the UF/IFAS Department of Animal Sciences, November 2021
Practical Uses for Ultrasound in Managing Beef Cattle Reproduction
This publication aims to discuss the use of ultrasound to assist with beef cattle reproduction, which includes evaluation of the pre-service status of heifers and cows, diagnosis of pregnancy, determination of fetal age and sex, and evaluation of reproductive fitness of embryo recipients. Written by Mario Binelli, Thiago Martins, John Arthington, Kalyn Waters, Vitor Mercadante, Philipe Moriel, and Angela Gonella-Diaza, and published by the UF/IFAS Department of Animal Sciences, revised April 2023
Reproductive Tract Score: A Tool for Evaluating Beef Heifer Reproductive Potential
This publication explains the RTS methodology and suggests how it can be implemented in a cow-calf operation. Written by Mario Binelli, Thiago Martins, Cecilia C. Rocha, Felipe A. C. C. Silva, João Bittar, Philipe Moriel, Angela M. Gonella-Diaza, Lauren Butler, and Cindy Sanders, and published by the UF/IFAS Department of Animal Sciences, October 2021
Calculating Reproductive Performance in Beef Operations: The University of Florida Beef Herds' 2019 Breeding Season
This publication reviews the basic calculations of reproductive performance and reports the reproductive performance of two University of Florida beef herds. Written by Mario Binelli, Angela M. Gonella-Diaza, Thiago Martins, Cecilia C. Rocha, Felipe A. C. C. Silva, Federico Tarnonsky, Sergio Roskopf, Owen Rae, Danny Driver, Nicolas DiLorenzo, Jose Dubeux, and David Thomas, and published by the UF/IFAS Department of Animal Sciences, May 2021
Calculating Calf Performance in Beef Operations: The University of Florida Beef Herds in the 2019–2020 Calving Season
This article aims to report the calf performance of two beef herds of the University of Florida, located in north (UF/IFAS NFREC, Marianna) and central Florida (Beef Units, Gainesville). Written by Mario Binelli, Angela M. Gonella-Diaza, Thiago Martins, Cecilia C. Rocha, Felipe A. C. C. Silva, Federico Tarnonsky, Sergio Roskopf, Owen Rae, Danny Driver, Nicolas DiLorenzo, Jose Dubeux, and David Thomas, and published by the UF/IFAS Department of Animal Sciences, February 2022
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
- …
