Field trials were conducted in cabbage (Brassica oleracea var capitata), cauliflower (B oleracea var botrytis) and knol khol (B oleracea gongylodes) crops at two different locations in Karnataka State (India) to optimize the timing of insecticide applications to control the diamondback moth, Plutella xylostella, using sex pheromone traps. Our results indicate that applications of cartap hydrochloride as insecticide during a 12-24 h period after the pheromone traps had caught on average 8, 12 and 16 males per trap per night in cabbage, cauliflower and knol khol, respectively, were significantly more effective than regular insecticide sprays at 7, 9, 12 or 15 days after transplantation. This was demonstrated by estimation of the mean number of eggs and larvae per plant, the percentage of holes produced, as well as the marketable yield of the three crops at each location. A good correlation between the immature stages, infestation level, the estimated crop yield and the number of moths caught in pheromone traps was also found, indicating the usefulness of pheromone-based monitoring traps to predict population densities of the pest.

Biorational and regular insecticide applications were evaluated for management of the diamondback moth (DBM) Plutella xylostella in cabbage (Brassica oleracea var capitata) in Karnataka State, India, in 1996 and 1997. The IPM programme, based on the pheromone trap catch threshold of eight moths per trap per night, included utilization of the parasitoid Cotesia plutellae.(250 000 adults ha À1 ), the predator Chrysoperla carnea (2500 eggs ha À1 ), the neem-based chemical nimbecidine (625 ml ha À1 ), the bacterium Bacillus thuringiensis (500 ml ha À1 ), and the synthetic insecticide phosalone (2.8 litre ha À1 ). The IPM programme induced a reduction of trap catches, egg and larval populations and, therefore, a low level of damage to the crop. The economic analysis showed that the cost of the IPM treatments was also considerably lower than that of ordinary insecticide practice (average of $62 relative to $123 ha À1 , respectively). Gross pro®t was also clearly higher in IPM plots than in farmer's ®elds, ranging from $777 to $810 ha À1 in the IPM plots compared with $456 to $462 ha À1 in the insecticide-treated ®elds. As a consequence of lower input costs and higher gross pro®t, net pro®t in IPM treatments was even more favourable, and the economic savings associated with the utilization of the IPM programme amounted to $380

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Recent technological advances in next-generation sequencing (NGS) technologies have dramatically reduced the cost of DNA sequencing, allowing species with large and complex genomes to be sequenced. Although bread wheat (Triticum aestivum L.) is one of the world’s most important food crops, efficient exploitation of molecular marker-assisted breeding approaches has lagged behind that achieved in other crop species, due to its large polyploid genome. However, an international public–private effort spanning 9 years reported over 65% draft genome of bread wheat in 2014, and finally, after more than a decade culminated in the release of a gold-standard, fully annotated reference wheat-genome assembly in 2018. Shortly thereafter, in 2020, the genome of assemblies of additional 15 global wheat accessions was released. As a result, wheat has now entered into the pan-genomic era, where basic resources can be efficiently exploited. Wheat genotyping with a few hundred markers has been replaced by genotyping arrays, capable of characterizing hundreds of wheat lines, using thousands of markers, providing fast, relatively inexpensive, and reliable data for exploitation in wheat breeding. These advances have opened up new opportunities for marker-assisted selection (MAS) and genomic selection (GS) in wheat. Herein, we review the advances and perspectives in wheat genetics and genomics, with a focus on key traits, including grain yield, yield-related traits, end-use quality, and resistance to biotic and abiotic stresses. We also focus on reported candidate genes cloned and linked to traits of interest. Furthermore, we report on the improvement in the aforementioned quantitative traits, through the use of (i) clustered regularly interspaced short-palindromic repeats/CRISPR-associated protein 9 (CRISPR/Cas9)-mediated gene-editing and (ii) positional cloning methods, and of genomic selection. Finally, we examine the utilization of genomics for the next-generation wheat breeding, providing a practical example of using in silico bioinformatics tools that are based on the wheat reference-genome sequence.