Higher Intake of DK265 Corn Silage by Dairy Cattle

A nutritional evaluation of common barley varieties grown for silage by beef and dairy producers in western Canada

This study evaluated the nutritional and neutral detergent fiber digestibility (NDFD) characteristics of seven barley varieties (‘Conlon’, ‘CDC Copeland’, ‘CDC Cowboy’, ‘Falcon’, ‘Legacy’, ‘AC Metcalfe’, and ‘Xena’) grown for silage. Commercial samples (n = 80) harvested at the mid-dough stage were collected over 2 years (2012 and 2013). Average pH and dry matter (DM) content were 4.05% ± 0.17% and 36.8% ± 4.1%, respectively. ‘Falcon’ and ‘AC Metcalfe’ had higher (P < 0.05) CP relative to ‘CDC Copeland’ and ‘Xena’, with intermediate values for the other varieties. Acid (ADF) and neutral (NDF) detergent fiber contents were higher (P < 0.05) for ‘CDC Cowboy’ relative to ‘Conlon’. Starch was higher (P < 0.05) for ‘Legacy’ and ‘Conlon’ than ‘CDC Cowboy’, with intermediate values for other varieties. Legacy had a greater (P < 0.05) 6-h NDFD while ‘CDC Cowboy’ had a greater (P < 0.05) 30-h NDFD. Indigestible NDF (INDF; % NDF) was greater (P < 0.05) for ‘AC Metcalfe’ relative to ‘CDC Cowboy’ and ‘Falcon’. These results indicate that barley varieties vary with respect to chemical composition and NDFD and INDF contents. Selection for higher 30-h NDFD could result in improvements in DM and DE intake and performance of growing beef cattle.

Breeding maize for silage and biofuel production, an illustration of a step forward with the genome sequence

The knowledge of the gene families mostly impacting cell wall digestibility variations would significantly increase the efficiency of marker-assisted selection when breeding maize and grass varieties with improved silage feeding value and/or with better straw fermentability into alcohol or methane. The maize genome sequence of the B73 inbred line was released at the end of 2009, opening up new avenues to identify the genetic determinants of quantitative traits. Colocalizations between a large set of candidate genes putatively involved in secondary cell wall assembly and QTLs for cell wall digestibility (IVNDFD) were then investigated, considering physical positions of both genes and QTLs. Based on available data from six RIL progenies, 59 QTLs corresponding to 38 non-overlapping positions were matched up with a list of 442 genes distributed all over the genome. Altogether, 176 genes colocalized with IVNDFD QTLs and most often, several candidate genes colocalized at each QTL position. Frequent QTL colocalizations were found firstly with genes encoding ZmMYB and ZmNAC transcription factors, and secondly with genes encoding zinc finger, bHLH, and xylogen regulation factors. In contrast, close colocalizations were less frequent with genes involved in monolignol biosynthesis, and found only with the C4H2, CCoAOMT5, and CCR1 genes. Close colocalizations were also infrequent with genes involved in cell wall feruloylation and cross-linkages. Altogether, investigated colocalizations between candidate genes and cell wall digestibility QTLs suggested a prevalent role of regulation factors over constitutive cell wall genes on digestibility variations.

QTLs for agronomic and cell wall traits in a maize RIL progeny derived from a cross between an old Minnesota13 line and a modern Iodent line

In order to contribute to the inventory of genomic areas involved in maize cell wall lignification and degradability, QTL analyses were investigated in a RIL progeny between an old Minnesota13 dent line (WM13) and a modern Iodent line (RIo). Significant variation for agronomic- and cell wall-related traits was observed for the RIL per se (plants without ears) and topcross (whole plants) experiments after crossing with both old (Ia153) and modern tester (RFl) lines. Three QTLs for stover (plant without ear) yield were observed in per se experiments, with alleles increasing yield originating from RIo in two genomic locations with the highest effects. However, no QTL for whole plant yield was detected in topcross experiments, despite the fact that two QTLs for starch content were shown with increasing alleles originating from the modern RIo line. Fifteen lignin QTLs were shown, including a QTL for Klason lignins in per se experiments, located in bin 2.04, which explained 43 % of the observed genetic variation. Thirteen QTLs for p-hydroxycinnamic acid contents and nine QTLs related to the monomeric composition of lignin were shown in per se experiments, with syringaldehyde and diferulate QTLs explaining nearly 25 % of trait variations. Nine and seven QTLs for cell wall digestibility were mapped in per se and topcross experiments, respectively. Five of the per se QTLs explained more than 15 % of the variation, up to nearly 25 %. QTL positions in bins 2.06, 5.04, 5.08 and 8.02 for ADL/NDF, IVNDFD, lignin structure and/or p-hydroxycinnamic acid contents have not been previously shown and were thus first identified in the RIo × WM13 progeny. Based on QTL colocalizations, differences in cell wall degradability between RIo and WM13 were less often related to acid detergent lignin (ADL) content than in previous RIL investigations. QTL colocalizations then highlighted the probable importance of ferulate cross linkages in variation for cell wall digestibility. No colocalizations of QTL for cell wall phenolic-related traits were shown with genes involved in monolignol biosynthesis or polymerization. In contrast, colocalizations were most often shown with MYB and NAC transcription factors, including orthologs of master genes involved in Arabidopsis secondary wall assembly. QTL colocalizations also strengthened the probable involvement of members of the CoA-dependent acyltransferase PF02458 family in the feruloylation of arabinoxylan chains.

Expression of cell wall related genes in basal and ear internodes of silking brown-midrib-3, caffeic acid O-methyltransferase (COMT) down-regulated, and normal maize plants

BACKGROUND

Silage maize is a major forage and energy resource for cattle feeding, and several studies have shown that lignin content and structure are the determining factors in forage maize feeding value. In maize, four natural brown-midrib mutants have modified lignin content, lignin structure and cell wall digestibility. The greatest lignin reduction and the highest cell wall digestibility were observed in the brown-midrib-3 (bm3) mutant, which is disrupted in the caffeic acid O-methyltransferase (COMT) gene.

RESULTS

Expression of cell wall related genes was investigated in basal and ear internodes of normal, COMT antisens (AS225), and bm3 maize plants of the INRA F2 line. A cell wall macro-array was developed with 651 gene specific tags of genes specifically involved in cell wall biogenesis. When comparing basal (older lignifying) and ear (younger lignifying) internodes of the normal line, all genes known to be involved in constitutive monolignol biosynthesis had a higher expression in younger ear internodes. The expression of the COMT gene was heavily reduced, especially in the younger lignifying tissues of the ear internode. Despite the fact that AS225 transgene expression was driven only in sclerenchyma tissues, COMT expression was also heavily reduced in AS225 ear and basal internodes. COMT disruption or down-regulation led to differential expressions of a few lignin pathway genes, which were all over-expressed, except for a phenylalanine ammonia-lyase gene. More unexpectedly, several transcription factor genes, cell signaling genes, transport and detoxification genes, genes involved in cell wall carbohydrate metabolism and genes encoding cell wall proteins, were differentially expressed, and mostly over-expressed, in COMT-deficient plants.

CONCLUSION

Differential gene expressions in COMT-deficient plants highlighted a probable disturbance in cell wall assembly. In addition, the gene expressions suggested modified chronology of the different events leading to cell expansion and lignification with consequences far beyond the phenylpropanoid metabolism. The reduced availability of monolignols and S units in bm3 or AS225 plants led to plants also differing in cell wall carbohydrate, and probably protein, composition. Thus, the deficiency in a key-enzyme of the lignin pathway had correlative effects on the whole cell wall metabolism. Furthermore, the observed differential expression between bm3 and normal plants indicated the possible involvement in the maize lignin pathway of genes which up until now have not been considered to play this role.

Utility of near-infrared reflectance spectroscopy to predict nutrient composition and in vitro digestibility of total mixed rations

Total mixed ration (TMR) samples (n = 110) were analyzed for dry matter (DM), crude protein (CP), soluble CP, neutral detergent fiber (NDF), NDF CP, starch, ash, fat, total ethanol-soluble carbohydrate, and nonfiber carbohydrate (NFC). Rapidly and slowly degraded and undegraded in situ CP fractions and in vitro DM, organic matter, and NDF digestibility were determined on each TMR. The TMR were scanned using near-infrared reflectance spectroscopy (NIRS); spectra were retained with NIRS calibration and cross-validation statistics were determined using partial least squares regression methods. The CP, NDF, starch, in vitro DM, and in vitro indigestible NDF contents of TMR were predicted by NIRS with good degrees (R2 >0.85) of accuracy with proportionally low standard errors of prediction. Moderate utility of NIRS to predict the NFC (R2 = 0.83) and fat content (R2 = 0.81) of TMR was observed. Rapidly, slowly, and undegraded in situ CP fractions in TMR were not well predicted by NIRS. Similarly, soluble CP, NDF CP, total ethanol-soluble carbohydrate, and in vitro NDF digestibility (% of NDF) were not well predicted by NIRS. Ratios of nutrient range to reference laboratory method error were calculated and found to be positively related (R2 = 0.84) to NIRS predictability of a given TMR nutrient, suggesting some laboratory procedures were not precise enough to yield suitable NIRS predictions. Data suggest that NIRS has utility to predict basic nutrients such as CP, NDF, starch, NFC, and fat in TMR. However, difficulty was observed using NIRS in predicting key biological nutrients in TMR such as in situ CP fractions and in vitro NDF digestibility. Difficulty of NIRS in predicting these nutrients is related to the level of reference method error in relationship to the range of nutrient values in TMR, but other sources of prediction error may exist.