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

2004· article· en· W2590714493 on OpenAlexaboutno aff
David Granatstein

Bibliographic record

VenueActa Horticulturae · 2004
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect-Plant Interactions and Control
Canadian institutionsnot available
Fundersnot available
KeywordsTree (set theory)Production (economics)Organic productionAgroforestryGeographyEnvironmental scienceOrganic farmingMathematicsArchaeologyEconomicsAgricultureCombinatorics

Abstract

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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

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.087
Threshold uncertainty score0.172

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0160.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.027
GPT teacher head0.259
Teacher spread0.231 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations7
Published2004
Admission routes1
Has abstractyes

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