Minerals in pastures—are we meeting the needs of livestock?

Masters, David G.; Norman, Hayley C.; Thomas, Dean T.

doi:10.1071/cp18546

Cited by 29 publications

(30 citation statements)

References 73 publications

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“…Mineral composition of forages is of interest from a perspective of livestock health and, as with nutritive traits overall, there has been little or no emphasis on selection for mineral composition in forage breeding programs (Masters et al 2019). Significant family variation was observed for all minerals in this study, with relatively low influence of family-by-location interactions, moderate to high heritability and genomic prediction models with predictive abilities high in comparison to the other nutritive quality traits assessed (Figure 1).…”

Section: Discussionmentioning

confidence: 99%

Genomic Predictive Ability for Foliar Nutritive Traits in Perennial Ryegrass

Arojju

Cao²,

Jahufer³

et al. 2020

G3 Genes|Genomes|Genetics

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Forage nutritive value impacts animal nutrition, which underpins livestock productivity, reproduction and health. Genetic improvement for nutritive traits in perennial ryegrass has been limited, as they are typically expensive and time-consuming to measure through conventional methods. Genomic selection is appropriate for such complex and expensive traits, enabling cost-effective prediction of breeding values using genome-wide markers. The aims of the present study were to assess the potential of genomic selection for a range of nutritive traits in a multi-population training set, and to quantify contributions of family, location and family-by-location variance components to trait variation and heritability for nutritive traits. The training set consisted of a total of 517 half-sibling (half-sib) families, from five advanced breeding populations, evaluated in two distinct New Zealand grazing environments. Autumn-harvested samples were analyzed for 18 nutritive traits and maternal parents of the half-sib families were genotyped using genotyping-by-sequencing. Significant (P , 0.05) family variance was detected for all nutritive traits and genomic heritability (h 2 g ) was moderate to high (0.20 to 0.74). Family-by-location interactions were significant and particularly large for water soluble carbohydrate (WSC), crude fat, phosphorus (P) and crude protein. GBLUP, KGD-GBLUP and BayesCp genomic prediction models displayed similar predictive ability, estimated by 10-fold cross validation, for all nutritive traits with values ranging from r = 0.16 to 0.45 using phenotypes from across two locations. High predictive ability was observed for the mineral traits sulfur (0.44), sodium (0.45) and magnesium (0.45) and the lowest values were observed for P (0.16), digestibility (0.22) and high molecular weight WSC (0.23). Predictive ability estimates for most nutritive traits were retained when marker number was reduced from one million to as few as 50,000. The moderate to high predictive abilities observed suggests implementation of genomic selection is feasible for most of the nutritive traits examined.

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Section: Discussionmentioning

confidence: 99%

Genomic Predictive Ability for Foliar Nutritive Traits in Perennial Ryegrass

Arojju

Cao²,

Jahufer³

et al. 2020

G3 Genes|Genomes|Genetics

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“…Mineral composition of forages is of interest from a perspective of livestock health and, as with 519 nutritive traits overall, there has been little or no emphasis on selection for mineral composition in 520 forage breeding programs (MASTERS et al 2019). Significant genotypic variation was observed for all 521 minerals in this study, with relatively low influence of G x E, moderate to high heritability and genomic 522 prediction models with predictive abilities high in comparison to the other nutritive quality traits 523 assessed (Figure 1).…”

Section: Predictive Ability For Nutritive Traits 330mentioning

confidence: 99%

Genomic predictive ability for foliar nutritive traits in perennial ryegrass

Arojju

Cao

Jahufer

et al. 2019

Preprint

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11Forage nutritive value impacts animal nutrition, which underpins livestock productivity, reproduction 12 and health. Genetic improvement for nutritive traits has been limited, as they are typically expensive 13 and time-consuming to measure through conventional methods. Genomic selection is appropriate for 14 such complex and expensive traits, enabling cost-effective prediction of breeding values using genome-15 wide markers. The aims of the present study were to assess the potential of genomic selection for a 16 range of nutritive traits in a multi-population training set, and to quantify contributions of genotypic, Genomic selection for nutritive traits 2 39 Genomic selection for nutritive traits 4 program. From each population, 102 to 117 plants that tested positive for endophyte infection (Epichloё 126 festucae var lolli) by immunoblotting (HAHN et al. 2003), were polycrossed in isolation during spring 127 2012 in Palmerston North, New Zealand (FAVILLE et al. 2018). Polycrosses were performed separately 128 for each population, without admixing, and seeds from the maternal parents were harvested and 129 cleaned. In total 543 half-sib families were harvested for seed, however only 517 families had sufficient 130 seed (≥ 3.6g) for sowing field trials. 131 A total of six trials were sown (FAVILLE et al. 2018), of which two were used for the current study. 132 These were trials established at Lincoln (Canterbury region, southern New Zealand, 43.38°S 172.62°E; 133 Wakanui silt loam) and Aorangi (Manawatu region, central New Zealand, 40.34°S 175.46°E; Kairanga 134 sandy loam), during the autumn of 2013. The experimental design at each site was row-column with 135 three replicates. Within each replicate, populations were blocked, and families randomized within 136 blocks. Multiple repeated checks (clonal replicates) were also randomly allocated within and across 137 the replicated blocks. Half-sib families were evaluated as a 1m row of plants (referred to from now as 138 plots), by sowing 0.2 g of seed (which is equivalent to 14 kg ha -1 , if a sward was sown at 7 rows m -1 ). 139 Nitrogen and phosphate fertilizer was applied at the rate of 15-30 kg N ha -1 and 8.8 kg P ha -1 , in late 140 autumn each year (FAVILLE et al. 2018). 141 2.2 Phenotypic measurements 142

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“…This is in contrast to many earlier studies where sheep and cattle offered vegetative wheat, showed an increase in LWG when minerals were supplemented (Dove and Mcmullen 2009;Bell and Dove 2012). Such discrepancy in LWG response to mineral supplementation was discussed in a recent review paper (Masters et al 2019), which highlighted that the use of mineral to be considered in conjunction with energy and CP supply in animal production. Based on the 'leaky bucket theory', deficiency in major nutrient supply (energy or CP) is the first limiting factor to animal performance rather than mineral deficiency.…”

Section: Discussionmentioning

confidence: 99%