The most important factors known to influence the eating quality of beef are well established and include both pre- and post-slaughter events with many of the determinants interacting with each other. A substantial programme of work has been conducted by the Agri-Food and Biosciences Institute in Northern Ireland aimed at quantifying those factors of most importance to the local beef industry. Post-slaughter effects such as carcase chilling and electrical stimulation, ageing, carcase hanging and cooking method have been shown to have a significant impact on eating quality when compared with pre-slaughter activities such as animal handling and lairage time in the Northern Ireland studies. However, the effect of animal breed, particularly the use of dairy breed animals, was shown to significantly improve eating quality. Many of these factors were found to interact with each other.

This study aimed to compare the quality of beef from suckler bulls raised on a high-energy concentrate ration and slaughtered at different carcass weights (CW)/ages. In total, 42 spring-born, Charolais and Limousin-sired, weaned suckler bulls were provided with a finishing diet of ad libitum concentrates and grass silage until they reached target CW of 340, 380 and 420 kg. Intramuscular fat (IMF) content tended (P<0.06) to be higher for 420 kg CW than for 380 and 340 kg CW. Sensory tenderness was lower (P<0.001) for 420 kg CW than for 380 and 340 kg CW. Juiciness was higher (P<0.05) for 420 kg CW than for 380 kg CW. Flavour liking was higher (P<0.05) for 420 and 380 kg CW (which did not differ) than for 340 kg CW. Overall, an increase in CW resulted in a slight increase in IMF content which could be responsible for the increase in juiciness and flavour liking of the beef. An increase in CW led to a decrease in the tenderness of the beef even though the overall liking of the beef was not affected.

Disease detection and control is thus one of the main objectives of vineyard research in France. Monitoring diseases manually is fastidious and time consuming, so current research aims to develop an automatic detection of vineyard diseases. This project explored the use of a high-resolution multi-spectral camera embedded on a UAV (Unmanned Aerial Vehicle) to identify the infected zones in a field. In-field spectrometry studies were performed to identify the best spectral bands for the sensor design. The best models were found to be the function of the grapevine variety considered and the 520-600-650-690-730-750-800 nm bands were found to be the most efficient for all types of grapevines, with an overall classification accuracy of more than 94%.

An experiment with 30 Hereford growing bulls was designed to study the effects of (1) forage type and (2) inclusion of rapeseed meal (RSM) in the barley-based concentrate. The three forage types were grass silage (GS), whole crop barley silage harvested at the milk stage (BSM) or at the dough stage (BSD). The concentrate used was rolled barley alone or barley plus RSM. Mean total dry matter (DM) intakes for the GS, BSM and BSD bulls were 9.04, 8.74 and 9.46 kg/day, and carcass gains were 883, 770 and 867 g/day, respectively. Both DM intake and carcass gain were significantly higher in the BSD bulls compared with the BSM bulls. Mean carcass weights of the GS, BSM and BSD bulls were 395, 369 and 392 kg, respectively, and tended to be lower in the BSM bulls. Forage type and RSM had no effects on the carcass conformation or fat score. Rapeseed meal supplementation increased total DM intake (+10%, P<0.01), carcass gain (+14%, P<0.001) and carcass weight (+8%, P<0.01) of the bulls. Overall, GS could be totally replaced by whole crop barley silage in the diet of growing bulls when the concentrate constitutes 0.4 of the diet, but whole crop barley silage should be harvested at the dough stage instead of the milk stage.

In strawberry production, a balanced and accurate irrigation schedule is essential, because of the high sensitivity of strawberry plants to water deficits and waterlogging. The optimal irrigation management strategy can, however, only be obtained by an accurate crop monitoring system. To replace the current visual inspection methods, which are subjective, time consuming and labour-intensive, the performance of the COmpact hyperSpectral Imaging system (COSI) mounted on an RPAS (Remotely Piloted Aircraft System) was evaluated. The study, focusing on different irrigation treatments in strawberry cultivation, unraveled the potential of the COSI system, to monitor field variations, even at small scale. Growth inhibition and differences in plant physiology due to water deficit could be detected. As such, the COSI system has shown potential for steering irrigation management decisions in strawberry cultivation.

The aim of this 3 year study was to compare two suckler cow genotypes, namely Limousin×Holstein (LH) (sourced from the dairy herd) and Stabiliser (ST) (a composite breed), in terms performance at calving. Both dam genotypes were bred to a ST sire and calved in spring/early summer. There was no significant effect of dam genotype on concentrations of casein, lactose, protein or urea nitrogen in the colostrum. Colostrum from LH cows had a significantly higher fat concentration compared with ST cows (P<0.05). Dam genotype had no effect on incidence of calving difficulty, cow temperament or mothering ability score. There was a significant difference in milk supply scores between the two breeds of cows when the 3 years of data were combined (P=0.002), with a higher percentage of LH cows having a plentiful supply of milk compared with ST cows and conversely a higher percentage of ST having limited milk compared with LH cows. However this was not a consistent effect over the 3 years. This study demonstrated that both dam breeds exhibit high maternal attributes at calving. However further work is required to investigate if LH cows have a more plentiful milk supply since this has potential to influence growth rate of progeny.

The objective of this work was to determine the most appropriate growth stage to make reflectance measurements that would indicate yield in high yielding winter barley crops. The results indicated that where different rates of fertiliser N were applied, at the same crop growth stages, the best relationship between vegetation indices, calculated on the basis of reflectance measurements, and grain yield were found to occur from booting to early grain fill. Where the timing of fertiliser N inputs was different, for a given level of fertiliser N addition, poor correlations between vegetation indices and grain yield during the stem elongation phase were observed.