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Analysing the Cost of Concentrated Feed and Income from Meat in Relation to Relative Growth Rate and Kleiber’s Ratio in Intensive Fattening of Latvian Dark-Headed Lambs

Author

Listed:
  • Ilva Trapina

    (Genomics and Bioinformatics, Institute of Biology, University of Latvia, Jelgava str. 3, LV-1004 Riga, Latvia)

  • Daina Kairisa

    (Institute of Agrobiotechnology, Faculty of Agriculture, Latvian University of Life Sciences and Technologies, Liela Street 2, LV-3001 Jelgava, Latvia)

  • Natalia Paramonova

    (Genomics and Bioinformatics, Institute of Biology, University of Latvia, Jelgava str. 3, LV-1004 Riga, Latvia)

Abstract

One of the goals of the breeding program of the Latvian national sheep breed Latvian dark-head (LT; Latvijas tumšgalve) is the improvement of meat productivity, in parallel with good reproduction characteristics. The main part of the costs is the cost of feeding, which can be reduced by raising sheep with high feed efficiency. This goal can be achieved by selecting sheep based on feed efficiency indicators. The fattening data of 100 LT lambs were analysed using the relative growth rate (RGR) and Kleiber’s ratio (KR) indicators. The statistical difference was determined between low- and high-efficiency groups by calculating the cost of concentrate feed and income from meat realisation. The difference in the cost of concentrate feed was found after 60-days of intensive fattening and on the day needed for fattening up to 50 kg of live weight of lambs. When calculating the income of lamb meat, the differences between low and high RGR and/or KR efficiency groups were established. Thus, selecting high-ranking RGR and KR sheep can improve the cost and/or income of LT sheep breeders in Latvia.

Suggested Citation

  • Ilva Trapina & Daina Kairisa & Natalia Paramonova, 2024. "Analysing the Cost of Concentrated Feed and Income from Meat in Relation to Relative Growth Rate and Kleiber’s Ratio in Intensive Fattening of Latvian Dark-Headed Lambs," Agriculture, MDPI, vol. 14(4), pages 1-13, April.
    • Handle: RePEc:gam:jagris:v:14:y:2024:i:4:p:593-:d:1372129
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    References listed on IDEAS

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    1. Tedeschi, Luis Orlindo & Fox, Danny G. & Guiroy, Pablo J., 2004. "A decision support system to improve individual cattle management. 1. A mechanistic, dynamic model for animal growth," Agricultural Systems, Elsevier, vol. 79(2), pages 171-204, February.
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