Statistical tools to select for robustness and milk quality

Strandberg, E.; Felleki, Majbritt; Fikse, W.F.; Franzén, Johan; Mulder, Henk; Rönnegård, Lars; Urioste, J. I.; Windig, J.J.

doi:10.1017/s2040470013000162

Cited by 2 publications

(2 citation statements)

References 16 publications

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“…Thus, environmental sensitivity to changes in either the macro‐ and micro‐environment are two important components of robustness (Strandberg et al . ).…”

Section: Introductionmentioning

confidence: 97%

Breeding for robustness: investigating the genotype‐by‐environment interaction and micro‐environmental sensitivity of Genetically Improved Farmed Tilapia (Oreochromis niloticus)

et al. 2018

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SummaryRobustness has become a highly desirable breeding goal in the globalized agricultural market. Both genotype‐by‐environment interaction (G × E) and micro‐environmental sensitivity are important robustness components of aquaculture production, in which breeding stock is often disseminated to different environments. The objectives of this study were (i) to quantify the degree of G × E by assessing the growth performance of Genetically Improved Farmed Tilapia (GIFT) across three countries (Malaysia, India and China) and (ii) to quantify the genetic heterogeneity of environmental variance for body weight at harvest (BW) in GIFT as a measure of micro‐environmental sensitivity. Selection for BW was carried out for 13 generations in Malaysia. Subsets of 60 full‐sib families from Malaysia were sent to China and India after five and nine generations respectively. First, a multi‐trait animal model was used to analyse the BW in different countries as different traits. The results indicate a strong G × E. Second, a genetically structured environmental variance model, implemented using Bayesian inference, was used to analyse micro‐environmental sensitivity of BW in each country. The analysis revealed the presence of genetic heterogeneity of both BW and its environmental variance in all environments. The presence of genetic variation in residual variance of BW implies that the residual variance can be modified by selection. Incorporating both G × E and micro‐environmental sensitivity information may help in selecting robust genotypes with high performance across environments and resilience to environmental fluctuations.

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“…Thus, environmental sensitivity to changes in either the macro‐ and micro‐environment are two important components of robustness (Strandberg et al . ).…”

Section: Introductionmentioning

confidence: 97%

Breeding for robustness: investigating the genotype‐by‐environment interaction and micro‐environmental sensitivity of Genetically Improved Farmed Tilapia (Oreochromis niloticus)

et al. 2018

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“…Over the past two decades, cattle breeding research has been concerned with the biological robustness of dairy cows (Klopcic et al 2009). Strandberg et al (2013) saw robustness as the ability to function well in the environment cows live in, being resilient to the changes in the microenvironment that they encounter during their life, and also the ability to function well over a wide range of (macro) environments, for example, climates or production systems of herds. Resilience, tolerance, and resistance are the components of the overall robustness, referring to adaptability to a broad range of environmental conditions (Konig and May 2019).…”

Section: Definition Of Resiliencementioning

confidence: 99%

General resilience in dairy cows: A review

Kašná¹,

Zavadilová²,

Vařeka³

et al. 2022

CZECH J ANIM SCI

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Dairy farming is deeply affected by climate change, especially by rising temperatures and heat waves, poorer availability of quality food and water, and the spread of new diseases and pests outside their original ecological niche. Their impact can be mitigated not only by changes in technologies, management and treatment, but also by breeding and selection of more resilient cows. General resilience encompasses the animal’s capacity to cope with environmental, social and disease challenges. It is described as the capacity of the animal to be minimally affected by a disturbance or to rapidly return to the physiological, behavioural, cognitive, health, affective and production states that pertained before exposure to a disturbance. As disturbances can be of different natures, general resilience is a composite trait consisting of different resilience types according to the nature of the disturbance. Resilience can be quantified through time series data that capture fluctuations in the daily performance. Recent studies have worked with deviations in the daily milk yield and daily live weight from optimal performance or have focused on the assessment of the daily activity in terms of the daily step count. To observe the duration and magnitude of the response to perturbance, two indicators were suggested: the autocorrelation (r<sub>auto</sub>) and the natural logarithm of deviations (LnVar). Based on the daily milk yield deviations, both indicators have shown sufficient genetic variabilities with the estimated heritability ~0.1 for r<sub>auto </sub>and ~0.2 for LnVar. Low values of both indicators were genetically related to better udder health, better hoof health, better longevity, better fertility, higher body condition score, less ketosis but also lower milk yield level. The selection for improved resilience could benefit from the use of genomic information as several genes and biological pathways associated with disease resilience and resilience to heat stress have already been identified. The presented results suggest that the integration of resilience into the cattle breeding programmes would improve the capacity of the dairy industry to cope with global climate change.

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Statistical tools to select for robustness and milk quality

Cited by 2 publications

References 16 publications

Breeding for robustness: investigating the genotype‐by‐environment interaction and micro‐environmental sensitivity of Genetically Improved Farmed Tilapia (Oreochromis niloticus)

Breeding for robustness: investigating the genotype‐by‐environment interaction and micro‐environmental sensitivity of Genetically Improved Farmed Tilapia (Oreochromis niloticus)

General resilience in dairy cows: A review

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