Notice bibliographique
Résumé
This is the 14th volume in the series on ‘Genetics, Genomics and Breeding of Crop Plants’, each book covering one or a group of species, so far including many major crops but not the cereals. The three areas discussed in the volumes are some of the most rapidly changing areas of biology today. For each crop, genetics and genomics sees tens if not hundreds of relevant publications every year, while breeding aims and approaches change rapidly. These challenges give both the strengths and weaknesses to this volume. A synthesis of the state-of-the art with respect to oilseed brassicas is certainly needed – but it was substantially out-of-date even before publication. The brassica volume consists of 16 chapters by well-known researchers, ranging from a description of the Brassica genus, through genetic maps, markers and comparative genomics, to mutagenesis and metabolomics. Three chapters discuss breeding objectives. Overall, there is much of interest in the volume. The forward-looking statements in many chapters, and three complete chapters largely about prospects, make some important and thoughtful points. There are also a number of gaps in coverage, where I would have hoped a volume like this would be my first source of reference. For breeding, I was disappointed not to see a strong chapter on hybrid breeding, since within the last decade hybrid Brassica napus has moved from a few percent of the market to representing more than 50 %, in Canada and the UK at least. This change is alluded to in a couple of chapters, but there is no detailed consideration of what this means for the future of the crop and selection approaches. It is important for books, at least for me, to have some degree of timeless information, which I can refer back to at almost any point in the future. There are some highspots here such as a nine-page table of the 58(!) Brassica linkage maps published since 2006, a list of the 15 large-insert BAC libraries available, and three pages of insect pests. But, with a coverage of genetics and breeding, I would have also liked to see more such tables, for example with oil contents and oil compositions of the different brassicas, more information about morphological variation such as seed characters, and data about germplasm collections and what is represented in them (although taxonomy is discussed in some chapters). Somewhat surprisingly, for a book published in September 2011, the genome sequencing initiatives chapter states, ‘We expect the A, C and B genome sequences to become publicaly available of the next few years’: the A genome B. rapa sequence was published online in August 2011, with the chapter authors both being co-authors of the journal paper (Wang et al., 2011). Surely this was in time, and significant enough, to be discussed, but it gives the book immediate obselesence, with no references in this chapter later than the three general papers referrred to from 2009 (before the impact of next-generation sequencing was felt, mentioned as a prospect in other chapters). The chapter itself is largely historical, describing the history of brassica whole-genome sequencing and genetics (noting, for example, that, ‘Genome sequence information will also revolutionise genetic and physical mapping’, without elaborating on what this means and has revealed in Brassica). Is geographical spread of authorship relevant? I think so in a book on genetics and breeding of major crops where location is so important: but we have no perspective of breeding from Asia, with only one chapter on mutagenesis and mutation breeding from China, and no authors from India, or Korea where molecular and other breeding programmes are addressing major challenges. Unfortunately less surprisingly, Africa also receives little mention, despite the huge need there for plant oils, and the use of Abyssynian mustard (the BC genome tetraploid B. carinata). The book will undoubtedly be useful to many specialists in Brassica. However, the very weak index, rather superficial and generalized statements about prospects rather than the details for many techniques, and a few points where one feels the book is long out of date (although in fact only by one or two years), mean its appeal is somewhat limited.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».