LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Sustainable multi-trait selection index based on production, reproduction, and health traits for genetic improvement of Murrah buffaloes.

Photo from wikipedia

Selection of Murrah buffaloes based on production, reproduction, and health traits play an important role in sustainable genetic improvement. With the aim to construct an index comprising of production, reproduction… Click to show full abstract

Selection of Murrah buffaloes based on production, reproduction, and health traits play an important role in sustainable genetic improvement. With the aim to construct an index comprising of production, reproduction and health traits of Murrah buffaloes, the production and reproduction data during a 50-year span (1971-2020) and for health traits data of 27 years (1994-2020) were analyzed. Various three, four, five, and six trait combinations of production, reproduction, and health traits were explored for construction of performance indices. The income and expenditure method was used to calculate relative economic values (REV) for traits under consideration. A total of 37 performance indices were constructed using a multi-trait combination of production, reproduction, and health traits. Out of 37 indices, the (ADMY-PY-DO-AFC-FF) based index was identified as the best, with 78%, 2%, and 20% weightage given to production, reproduction, and female fertility, respectively. Furthermore, when REVs of traits were increased by 25% and 50%, there was no change observed in the relative importance of traits in the best index, indicating that the index was robust to substantial increases in economic values. Therefore, it is recommended that the above constructed composite selection index can be employed in selection of female buffaloes to achieve sustainable genetic gain.

Keywords: production; health traits; index; production reproduction

Journal Title: Animal biotechnology
Year Published: 2022

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.