Literature DB >> 16027211

Maximization of lactation milk production without decreasing persistency.

C Y Lin1, K Togashi.   

Abstract

This study treats each daily estimated breeding value (EBV) of the lactation as a separate trait to modify the lactation curve on a daily basis. Six selection strategies for improving lactation milk without decreasing persistency were compared: 1) index I(R1), subject to the restriction of equal genetic gains at days in milk (DIM) 60 and 280, 2) I(R2), subject to the restriction of zero gain at DIM 60, 3) desired gains index I(d), designed to increase lactation milk without altering the lactation curve, 4) index I(u), comprising lactation EBV and persistency without standardization, 5) index I(w), consisting of lactation EBV (EBV(L)) and persistency with standardization, and 6) conventional selection on EBV(L) and used as a basis for comparison. Of the 6 selection strategies compared, I(R2) yielded the greatest persistency, but achieved the smallest response in EBV(L), suggesting that it is impractical to increase persistency by inhibiting change in the peak yield. Index I(u) showed the same response in lactation milk as conventional selection on EBV(L), but resulted in the same decreased persistency. Although both I(R1) and I(d) achieved constant persistency, the former produced a greater lactation response (669 kg EBV) than the latter (560 kg EBV). Thus, I(R1) is a viable strategy for improving EBV(L) while holding persistency constant. None of the 6 selection strategies excelled in both lactation milk and persistency. Index I(w) appears to be a reasonable choice for improving both traits, although responses would depend on the relative economic importance of the 2 traits. Differential responses between I(u) and I(w) emphasize the need to weight the EBV of different traits by the inverse of their standard deviations in index construction when the EBV vary widely in variance. The general formula developed here provides a useful genetic means of modifying the lactation curve by restricting differential genetic gains among different days of the lactation.

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Year:  2005        PMID: 16027211     DOI: 10.3168/jds.S0022-0302(05)72977-5

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  2 in total

1.  Estimates of genetic parameters and genetic trend for Wood's lactation curve traits of Tunisian Holstein-Friesian cows.

Authors:  Nour Elhouda Bakri; Camillo Pieramati; Francesca Maria Sarti; Samira Giovanini; M 'Naouer Djemali
Journal:  Trop Anim Health Prod       Date:  2022-07-01       Impact factor: 1.559

2.  Estimated breeding values and association mapping for persistency and total milk yield using natural cubic smoothing splines.

Authors:  Klara L Verbyla; Arunas P Verbyla
Journal:  Genet Sel Evol       Date:  2009-11-05       Impact factor: 4.297

  2 in total

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