Genetic and phenotypic relationships between physiological traits and performance test traits in sheep

Cameron, N. D.; Cienfuegos-Rivas, Eugenia Guadalupe

doi:10.1186/1297-9686-26-2-137

Cited by 6 publications

(3 citation statements)

References 15 publications

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“…Such distributions may impact the estimation of reproductive success due to the sampling strategy of G2 saplings used for parentage analysis and due to border effects. Furthermore, variation of spacing between trees may result in variation of competition effects which introduce noise Kremer, 1994;Streiff et al, 1998), thus generating nonindependence between genetic and environmental effects. In the next sections, we attempted to account explicitly for these sources of variation in the methods and models used for estimating fitness, selection gradients and genetic variances/covariances.…”

Section: Fitness Assessmentmentioning

confidence: 99%

“…This study is one of the first to explore the use of evolutionary quantitative genetics for monitoring genetic changes in forest trees in natura (Bontemps et al, 2016;Castellanos et al, 2015). More traditional genetic surveys aiming to estimate genetic parameters have been conducted in controlled progeny experiments, and they highlighted the considerable genetic variation within forest tree populations, suggesting that forest trees have the potential to evolve in response to contemporary environmental changes (Cornelius, 1994;Kremer, 1994). However, these investigations were performed in artificial conditions, using experimental designs recommended for breeding purposes (White, Adams, & Neale, 2007), but unsuitable for extension and application to the prediction of responses to contemporary environmental changes in most existing forests undergoing renewal by natural regeneration.…”

Section: Limitations and Constraintsmentioning

confidence: 99%

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How does contemporary selection shape oak phenotypes?

Alexandre

Truffaut

Klein

et al. 2020

Evolutionary Applications

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Most forests worldwide are renewed by natural processes, the exception being artificially planted woodlands, which account for 7% of the world's forests (FAO, 2015). The remaining primary and secondary forests are regenerated by means of seedlings resulting from open pollination between mature trees. Natural processes dominated by competition for light, water and nutrients, and environmental disturbances, exert a strong influence during the early stages of development of the renewed forest stand. Human activities, in the form of silvicultural regimes of various intensities, depending on tree species and country, subsequently superimpose over natural selection regimes, except in primary forests. Thus, most existing forests are subjected to both natural and human-mediated

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Section: Fitness Assessmentmentioning

confidence: 99%

Section: Limitations and Constraintsmentioning

confidence: 99%

How does contemporary selection shape oak phenotypes?

Alexandre

Truffaut

Klein

et al. 2020

Evolutionary Applications

View full text Add to dashboard Cite

show abstract

“…Furthermore, the prepubertal goats that were fed D2 presented a higher urea concentration in the plasma compared with those that were fed D3 and D4. Although some authors have also reported high tissue-protein catabolism associated with high levels of urea (Cameron and Cienfuegos-Rivas, 1994;Rastani et al, 2006;Caldeira et al, 2007;Chapman et al, 2010), experimental goats that were fed D2 had daily weight gain of 0.120 kg. Consequently, urea result can be explained by the improved degradation of protein in the rumen of the prepubertal goats that were fed D2 (with 2% soya bean oil), which increased the urea contents in the plasma (Ide et al, 1966;Butler et al, 1996;Sakkinen et al, 2001;Ferreira et al, 2011), compared with those that were fed D3 and D4.…”

Section: Discussionmentioning

confidence: 99%

Effects of different supplemental soya bean oil levels on the performance of prepubertal Saanen goats: Oestrogen and progesterone release

Bomfim

Merighe

Oliveira

et al. 2016

Animal Physiology Nutrition

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The aim of this study was to investigate the effects of different levels of soya bean oil in the total diet on the growth rate, metabolic changes, and oestrogen and progesterone release in Saanen goats. After dietary adaptation, 21 prepubertal goats (weight of 29.12 ± 0.91 kg, 230 days old) were randomly distributed among three diets of D2: inclusion of 2% soya bean oil in the total diet; D3: basal diet - inclusion of 3% soya bean oil in the total diet; and D4: inclusion of 4% soya bean oil in the total diet. The basal diet (D3) was formulated to promote a daily gain of 0.140 kg. The goats were weighed, and their blood samples were collected weekly. Glucose, cholesterol, triglycerides, total protein, urea, non-esterified fatty acids, beta-hydroxybutyrate, oestrogen and progesterone in the plasma were measured. Prepubertal goats that were fed D4 exhibited a significantly lower dry matter intake, urea and cholesterol levels compared with the goats that were fed D2 and D3. Indeed, goats that were fed D4 displayed a significantly lower final weight than goats that were fed D2 and D3. In contrast, the inclusion of soya bean oil in the diet increased the progesterone and oestrogen concentrations, and goats that were fed D4 released a significantly higher concentration of progesterone than those that were fed D2 and D3. Furthermore, the percentage of goats with a progesterone level greater than 1 ng/ml (functional Corpus luteum) was significantly higher among the goats that were fed D3 and D4 than among those that were fed D2. In this study, although the inclusion of 4% soya bean oil in the diet decreased dry matter intake and growth rate, it increased progesterone concentration and the percentage of goats with a functional Corpus luteum, suggesting that the inclusion of soya bean oil accelerated puberty in prepubertal goats.

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