Genetic analysis of age at first calving, accumulated productivity, stayability and mature weight of Nellore females

Schmidt, Patrícia Iana; Campos, Gabriel Soares; Lôbo, Raysildo Barbosa; Souza, Fernanda Fernandes; Brauner, Cássio Cassal; Boligon, Arione Augusti

doi:10.1016/j.theriogenology.2017.11.035

Cited by 27 publications

(27 citation statements)

References 28 publications

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“…The heritability of MWT in Japanese Black cattle in the present study was closer to the estimated value in the continental breeds than that in the British breeds, whereas Japanese Black cattle showed a smaller body size, similar to the British breeds. Moderate heritability estimates for MWT have been reported in Nelore cattle ( Bos indicus ) (0.39 by Boligon and Albuquerque, 2011 and 0.44 by Schmidt et al., 2018), although these MWTs were derived from body weights of 4‐year‐old and 2‐ to 16‐year‐old cows, respectively. In Japanese Black cattle, Takeda et al.…”

Section: Resultsmentioning

confidence: 97%

“…The heritability of AFC estimated in our study (0.07) was similar to that reported in previous studies. However, Oyama et al (2002), Oyama et al (2004) (Boligon & Albuquerque, 2011;Buzanskas et al, 2010;Lacerda et al, 2018;Schmidt et al, 2018).…”

Section: Heritabilitymentioning

confidence: 99%

“…Albuquerque, 2011 and 0.44 bySchmidt et al, 2018), although these MWTs were derived from body weights of 4-year-old and 2to 16-year-old cows, respectively. In Japanese Black cattle, Takeda et al(2018)estimated variance components of Gompertz growth curve parameters of feedlot steers with two-step approach and obtained heritability of 0.61 for A (MWT) and of 0.17 for k (ROM).…”

mentioning

confidence: 99%

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Genetic associations between reproductive traits for first calving and growth curve characteristics of Japanese Black cattle

Inoue

Hosono

Oyama

et al. 2020

Animal Science Journal

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The objective of this study was to estimate genetic parameters for first calving reproductive traits and growth curve characteristics in Japanese Black cattle. The Gompertz growth function was fitted to body weight-age data to obtain the mature weight (MWT) and rate of maturing (ROM) of cows. Data of reproductive traits including the first service conception rate (CR) for heifers, age at the first calving (AFC), and gestation length for the first calving were collected. Records of 3,204 animals were used for analysis. Genetic parameters were estimated using a linear uni-and bivariate animal model. The heritability estimates were moderate (0.29 for ROM) and high (0.57 for MWT) for growth curve parameters and low (0.03-0.11) for reproductive traits. There was a negative genetic correlation between MWT and ROM (−0.26), suggesting that an animal with a faster ROM would show a lower MWT. CR was negatively correlated with MWT (−0.42) but significantly and positively correlated with ROM (0.91). There was a negative genetic correlation between AFC and MWT (−0.49). These results suggest that a heifer with a faster ROM and lower MWT would show a higher CR. Meanwhile, a heifer with a lower MWT would show a higher AFC.

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Section: Resultsmentioning

confidence: 97%

Section: Heritabilitymentioning

confidence: 99%

mentioning

confidence: 99%

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Genetic associations between reproductive traits for first calving and growth curve characteristics of Japanese Black cattle

Inoue

Hosono

Oyama

et al. 2020

Animal Science Journal

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“…Thus, various indicator traits of female reproductive performance have been evaluated as selection criterion in beef cattle breeding programs around the world. In this context, stayability is a key trait as it indicates the female's ability to remain in the herd up to a given age with regular reproductive performance (Schmidt et al, ). Therefore, stayability has a great economic impact on the production systems, since it combines reproductive efficiency and cow's longevity (Mwansa, Crews, Wilton, & Kemp, ).…”

Section: Introductionmentioning

confidence: 99%

“…The most common stayability measurement (STAY63) is usually defined as a binary trait assuming as success the cow that had three (or more) calving up to 76 months of age (Schmidt et al, ; Silva et al, ). This definition limits the number of cows with measurements, as young animals will not have records until they reach 76 months of age.…”

Section: Introductionmentioning

confidence: 99%

Genomic evaluation for novel stayability traits in Nellore cattle

Ramos

Silva

et al. 2020

Reprod Domestic Animals

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Cow stayability plays a major role on the overall profitability of the beef cattle industry, as it is directly related to reproductive efficiency and cow's longevity. Stayability (STAY63) is usually defined as the ability of the cow to calve at least three times until 76 months of age. This is a late‐measured and lowly heritable trait, which consequently constrains genetic progress per time unit. Thus, the use of genomic information associated with novel stayability traits measured earlier in life will likely result in higher prediction accuracy and faster genetic progress for cow longevity. In this study, we aimed to compare pedigree‐based and single‐step GBLUP (ssGBLUP) methods as well as to estimate genetic correlations between the proposed stayability traits: STAY42, STAY53 and STAY64, which are measured at 52, 64 and 76 months of cow's age, considering at least 2, 3 and 4 calving, respectively. ssGBLUP yielded the highest prediction accuracy for all traits. The heritability estimates for STAY42, STAY53, STAY63 and STAY64 were 0.090, 0.151, 0.152 and 0.143, respectively. The genetic correlations between traits ranged from 0.899 (STAY42 and STAY53) to 0.985 (STAY53 and STAY63). The high genetic correlation between STAY42 and STAY53 suggests that besides being related to cow longevity, STAY53 is also associated with the early‐stage reproductive efficiency. Thus, STAY53 is recommended as a suitable selection criterion for reproductive efficiency due to its higher heritability, favourable genetic correlation with other traits, and measured earlier in life, compared with the conventional stayability trait, that is STAY63.

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