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Enregistrement W2590714493 · doi:10.17660/actahortic.2004.638.48

RESEARCH DIRECTIONS FOR ORGANIC TREE FRUIT PRODUCTION IN NORTH AND SOUTH AMERICA

2004· article· en· W2590714493 sur OpenAlex
David Granatstein

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Notice bibliographique

RevueActa Horticulturae · 2004
Typearticle
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueInsect-Plant Interactions and Control
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésTree (set theory)Production (economics)Organic productionAgroforestryGeographyEnvironmental scienceOrganic farmingMathematicsArchaeologyEconomicsAgricultureCombinatorics

Résumé

récupéré en direct d'OpenAlex

Organic pome and stone fruit production in both North and South America expanded dramatically during the 1990s in response to growing consumer demand for certified organic foods. Nearly all production is located in the semi-arid regions where disease and insect problems tend to be significantly less. Tree fruit producers and researchers in more humid regions are attempting to develop viable organic systems for their climates. Key challenges for producers in all regions include crop load management (fruit thinning), effective and economical weed control, fertility management, and control of replant disease. Insect pest problems vary by region, with some pests such as codling moth being a nearly universal problem. Advances in insect pest IPM for conventional production have directly helped organic producers. Researchers are focusing more attention on ecological design concepts and techniques to minimize pests and provide other benefits to the system. INTRODUCTION Organic farming has established itself as a viable alternative system in American agriculture (Greene, 2000). Organic food production of all kinds expanded dramatically during the latter 1990s (USDA, 2000). This can be attributed to many factors, including consumer concerns about pesticides, a general increase in environmental awareness, much broader availability and selection of organic foods in groceries, improved quality of organic products, good economic times, and new tools and techniques to address organic production problems. Organic farming is in congruence with important societal trends such as a desire for greater environmental stewardship, more interest in food integrity, and reduced use of pesticides (NRC, 1989; Hartman, 1996; Swezey and Broome, 2000). These trends are expected to continue for the foreseeable future. The expansion and legitimization of organic farming is also leading to much more research, development and education, both from the public and private sectors, providing growers with important production assistance. But these same trends have attracted numerous growers to organic production, initially because of the generally higher prices paid for organic foods (Featherstone, 2000). Often, the new organic growers are long-time conventional growers who can readily adapt to the organic regime and rapidly expand organic acreage, both domestically and abroad, leading to oversupply and depressed prices as has occurred for organic apples (Gabriel, 2001). Organic and conventional systems are converging for many crops, and it may be harder to distinguish them in the future and make a credible case to the consumer. And consolidation and industrialization are rampant within the organic food sector, promising many of the same outcomes we have seen in the conventional sector, such as downward price trends and the economic squeeze on moderate-sized farms (Pollan, 2001). Organic growers will need research on consumers as much as on farming practices. Key areas include consumer preference, national and worldwide production trends, organic standards and comparative advantage, and other food labeling programs. Growers need to communicate their unique research needs to public agricultural Proc. XXVI IHC – Sustainability of Horticultural Systems Eds. L. Bertschinger and J.D. Anderson Acta Hort. 638, ISHS 2004 Publication supported by Can. Int. Dev. Agency (CIDA) 370 institutions and stay abreast of all tree fruit research, as many new developments apply equally well to organic and conventional orchards. Conversely, new techniques developed for organic farms may be attractive to all growers. PRODUCTION TRENDS FOR ORGANIC TREE FRUIT Based on conversations with growers and marketers, organic tree fruit production generally lagged behind demand until 2000. However, the large increase in organic apple acreage in Washington State in 1990 as a response to the Alar incident (Fig. 1), and the resulting crash in organic apple prices, was a warning to growers to be aware of expanding production beyond the market demand. Since agriculture statistics services were not tracking organic production, growers had no information source to turn to. In 2000, the report “Trends in Organic Tree Fruit Production in Washington State” was released (Granatstein, 2000a), providing the first comprehensive look at organic apple, pear and stone fruit production. This information, recently updated with worldwide trends, has helped current organic growers assess their plantings as well as enabled prospective growers to evaluate whether organic production is a viable option. Tables 1 and 2 and Figures 1 and 2 provide a snapshot of production trends, suggesting a rapid increase in acreage domestically as well as overseas. The predominant production of organic pome and stone fruit in the U.S. and Canada occurs in the semi-arid regions of the West, where pest and disease pressures are generally lower. Similar regions in Argentina also have successful organic production. The trends for organic tree fruit acreage in the West are upward, especially in Washington and California. Future tracking of acreage will show whether many new entrants into organic tree fruit production exit with the current and anticipated reduction in prices. Often, growers who try organic production end up adopting certain practices (e.g. mating disruption, use of compost for nutrients, etc.) regardless of their organic status. RESEARCH NEEDS FOR ORGANIC ORCHARDS Organic orchardists often have certain research needs that are different than conventional growers due to the constraints imposed by organic production rules. As the acreage of organic production increases, public agricultural institutions are responding with more research on organic systems. In addition, societal goals for environmental stewardship have prompted much more research on methods of direct relevance to organic production even if not conducted specifically for or in organic systems. Organic farming advocates are pushing for a considerable increase in organic research by public institutions (Sooby, 2001) and some new funding is emerging to help support this. All production regions share a number of common research needs, based on presentations and discussions at meetings such as the First National Organic Tree Fruit Research Symposium (Rom et al., 2001) and the Southern Hemisphere Workshop on Integrated and Organic Fruit Production (INTA, 1999). These include fruit thinning, weed control, soil fertility, rootstock and variety evaluation, influence of organic production on fruit quality, and production and price statistics. The Organic Farming Research Foundation (Santa Cruz, California, USA) has conducted biennial surveys of organic farmers in the U.S. to document their perceived research and education needs (Walz, 1999). In order to better understand the research needs in the Northwest U.S., a survey of 14 organic apple growers was conducted in 1994 (Cornwoman and Granatstein, 1999) to examine the range of practices being used and the research and information needs of the growers. The growers were all experienced in organic production, and represented a range in farm size and location in Washington and Oregon. Results from the latter survey are incorporated into the sections below. Arthropod Pests The most critical need identified by organic orchardists in the western U.S. historically was control of codling moth (Cydia pomenella L.). Inadequate control of this pest in organic apple orchards was a primary barrier to production of organic apples. With

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.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,936
Score d'incertitude au seuil0,979

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,027
Tête enseignante GPT0,259
Écart entre enseignants0,231 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle