Assessing for genetic and environmental effects on ruminant feed quality in barley (Hordeum vulgare)

Fox, Glen; Bowman, J. G. P.; Kelly, Alison; Inkerman, P Andrew; Poulsen, David Me; Henry, Robert J.

doi:10.1007/s10681-007-9638-5

Cited by 18 publications

(17 citation statements)

References 26 publications

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“…This FA model has been shown to perform well for these types of MET data [25][26][27][28][29] . This same statistical model was adopted for the feed grain traits.…”

Section: Malt Qualitymentioning

confidence: 91%

“…For Particle Size Index (PSI) analysis, 50 g of barley was pearled for ten sec in a barley pearler (Strong-Scott). The recovered grains were then milled using a Falling Number 1600 disc mill with a sieve size of 1.0 mm 29 . Ten grams of the milled sample was then sieved in a Fritch Sieve Shaker for 10 min.…”

Section: Grain Qualitymentioning

confidence: 99%

“…The PS method used six sieves to calculate an average particle size. Both methods have previously been shown to distinguish between cultivars 10,29 . The feed varieties averaged slightly harder grain by the PSI method and slightly larger particle size (Table I).…”

Section: Grain Qualitymentioning

confidence: 99%

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Is Malting Barley Better Feed for Cattle than Feed Barley?

Fox

Kelly²,

Bowman

et al. 2009

Journal of the Institute of Brewing

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Barley grain from a combined intermediate and advanced barley breeding trial was assessed for grain, feed and malt quality from two sites over two consecutive years, with the objective to ascertain relationships between these traits. Results indicated there were genetic effects for both malt (hot water extract and friability) and "feed" traits (as measured by hardness, acid detergent fibre, starch and in-sacco dry matter digestibility). The feed trait values were generally independent of the malt trait values. However, there were positive relationships between friability, hardness and protein, as well as a negative relationship between extract and husk. Extract also had a positive relationship with test weight but appeared to be independent from the feed traits. Test weight also showed little relationship to the feed traits. Heritability values ranged from low to high for almost all traits. This study details where both malt and cattle feed parameters have been compared and the results indicated that while malt and feed traits do not correlate directly, malt cultivars can exhibit excellent feed characteristics, equal to or better than feed cultivars. This data highlights the benefit of selecting for malt quality even if a breeding program would be interested at targeting specific feed quality.

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“…This FA model has been shown to perform well for these types of MET data [25][26][27][28][29] . This same statistical model was adopted for the feed grain traits.…”

Section: Malt Qualitymentioning

confidence: 91%

Section: Grain Qualitymentioning

confidence: 99%

See 1 more Smart Citation

Is Malting Barley Better Feed for Cattle than Feed Barley?

Fox

Kelly²,

Bowman

et al. 2009

Journal of the Institute of Brewing

Self Cite

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“…Since the 1980s, singular value decomposition (SVD) was employed to describing the G × E patterns (Gauch 1992), initially in agronomic crops using additive main effects and multiplicative interaction model (AMMI), and later in forestry. Recently, factorial regression using a mixed model approach (factor-analytic method-FA) was introduced to explore the G × E patterns for multiple environmental trials in crops (Burgueño et al 2008;Fox et al 2007;Mathews et al 2007;Piepho 1998;Smith et al 2001;Smith et al 2015) to relate underlining factors to the causes of G × E interactions. Besides the linear and nonlinear fixed and mixed models using the parametric approaches to decompose the G × E interactions, there are also nonparametric methods to analyze G × E such as multivariate regression tree (MRT) (Hamann et al 2011).…”

Section: Introductionmentioning

confidence: 99%

Patterns of additive genotype-by-environment interaction in tree height of Norway spruce in southern and central Sweden

Chen

Karlsson

2017

Tree Genetics & Genomes

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Genotype-by-environment (G × E) interaction for tree height measured at ages 7 to 13 was investigated in 20 large open-pollinated progeny trials for Norway spruce (Picea abies (L.) H. Karst.) in southern and central Sweden. Factor analytic method using spatially adjusted data and a reduced animal model was used to explore the pattern of G × E interaction. Extended factor analyses captured 93.0% of additive G × E interaction variances using three factors. The mean daily temperature less than 3.2°C in May and June explained 27.8% G × E interaction, and it was moderately correlated with the first factor, indicating that spring or autumn frost weather condition could be a main driver for G × E interaction in Norway spruce. Cluster analysis has divided 20 trials into either 6 clusters or 3 clusters. Both sets of clusters reflected the geography of the trials (climates) and the genetic connectedness among testing series, indicating that more trials with better connectedness are required to examine whether current delineation of breeding or seed zones is optimal. Parental stability using latent regression could be used to locate best parents that have the highest breeding values and are highly stable across trials.

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“…De modo geral, as estimativas de herdabilidade determinam se os caracteres em estudo podem ou não ser aprimorados facilmente por meio do melhoramento genético (Fox et al, 2008).…”

Section: Introductionunclassified

Herdabilidade e correlações entre caracteres agronômicos em populações híbridas de trigo duro

Guercio¹,

Camargo²

2011

Bragantia

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Resumo Objetivou-se estimar os coeficientes de herdabilidade em sentido restrito referentes ao número de espigas por planta, de número de grãos por espiga, massa de cem grãos e produção de grãos, bem como as correlações ambientais, fenotípicas e genotípicas entre esses caracteres. Os estudos foram realizados em cruzamentos entre os genótipos de trigo duro P19 (P 1 ) e P33 (P 2 ), ambos originados no programa do Instituto Agronômico (IAC), de Campinas e IAC-1003 (P 3 ), genótipo introduzido do Centro Internacional de Melhoramento de Milho e Trigo (CIMMYT), México. Baixas estimativas de herdabilidade no sentido restrito foram obtidas para o caráter número de espigas por planta (0,23 a 0,38), exceto pelo cruzamento P 1 x P 2 (0,77). Valores baixos também foram obtidos para número de grãos por espiga (0,13 a 0,31), excetuando-se o cruzamento P 1 x P 3 (0,77). Para o caráter massa de cem grãos, os valores variaram de médios a baixos (0,24 a 0,49) para todos os cruzamentos e também para produção de grãos (0,09 a 0,45), sugerindo que a seleção para todos os caracteres na maioria dos cruzamentos deveria ser postergada para gerações posteriores. As correlações fenotípicas entre produção de grãos e os demais caracteres avaliados foram todas positivas e significativas, indicando que plantas com maior número de espigas, maior número de grãos por espiga e com grãos mais pesados seriam as mais produtivas.Palavras-chave: Triticum durum L., componentes da produção, herdabilidade, correlação fenotípica, ambiental e genotípica. Heritability and correlations among agronomic characteristics in durum wheat hybrid populationsAbstract Narrow sense heritability values were estimated for number of spikes per plant, number of grains per spike, hundred kernel weight and grain yield, as well as environmental, phenotypic and genetic correlations among them. The studies were made for crosses among durum wheat genotypes P19 (P 1 ) and P33 (P 2 ), originated from the Instituto Agronômico de Campinas (IAC) breeding program, and IAC-1003 (P 3 ), genotype introduced from the International Improvement Center of Mayze and Wheat Breeding (CIMMYT), México. Low narrow sense heritabilities estimations were obtained for the character number of spikes per plant (0.23 to 0.38), except for the cross P 1 x P 2 (0.77). Low values also were obtained for number of grains per spike (0.13 to 0.31), except for the cross P 1 x P 3 (0.77). For the character hundred kernel weight, the values varied from medium to low (0.24 to 0.49) for all crosses and the same has occurred for grain yield (0.09 to 0.45), suggesting that the selection for all characters in most crosses should be done at last generations. Phenotypic correlations between grain yield and the other evaluated characters were all positive and significant indicating that plants with higher number of spikes, higher number of grains per spike and with heavier grains would be the highest yielding ones.

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Assessing for genetic and environmental effects on ruminant feed quality in barley (Hordeum vulgare)

Cited by 18 publications

References 26 publications

Is Malting Barley Better Feed for Cattle than Feed Barley?

Is Malting Barley Better Feed for Cattle than Feed Barley?

Patterns of additive genotype-by-environment interaction in tree height of Norway spruce in southern and central Sweden

Herdabilidade e correlações entre caracteres agronômicos em populações híbridas de trigo duro

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