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Enregistrement W7025399919

The VII International Symposium on Mineral Nutrition of Fruit Crops

2012· other· en· W7025399919 sur OpenAlexaboutno aff

Notice bibliographique

RevueeCite Digital Repository (University of Tasmania) · 2012
Typeother
Langueen
Domaine
Thématique
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCalciumNutrientXylemIrrigationGrowing seasonPlant nutritionTranspiration
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Mineral nutrition has long been linked to cracking, but given the complex nature of cracking, and the complex interactions between nutrition, irrigation and water flow transporting nutrients within trees it is difficult to tease out any nutritional impacts on cracking. The most common mineral employed in the management of fruit cracking has been calcium. Calcium is a xylem mobile mineral, and as fruit xylem connections and pathways are thought to be reduced during maturation, early accumulation is vital. Calcium has been implicated in building resilience to cracking into fruit, with many exploring the impact of late season calcium chloride spray applications on cracking. These trials have produced inconsistent results but early and repeated spray patterns for calcium uptake are supported by studies in apples. Enhanced calcium uptake rates have been recorded in the sweet cherry variety Van with the use of thickeners and surfactants. The stylar end of cherry fruit has been identified as the preferential site of calcium uptake in variety Bing. Calcium treatments, however, did not significantly affect the rate of water uptake through skin in detached Bing fruit immersed in solution. A major limitation of using direct calcium application to prevent cracking is the unsightly residue left on the fruit. Aluminium and boron sprays have been trialled in the USA, again with inconsistent results and residue deposits. In Poland, an extensive study of boron nutrition showed no effect of soil or foliar applied boron on the incidence of cracking. During the last growing season I analysed the fruit nutrient content of fruit with a high cracking index and a low cracking index, induced by different irrigation volumes. No significant differences in calcium, boron or silicon levels were found, but these will be investigated further in future seasons. In May 2012 I attended and presented some of my work on cherry fruit cracking at the International Society of Horticultural Sciences VII International Symposium on Mineral Nutrition of Fruit Crops. This served two important purposes; 1. Peer feedback and encouragement from other participants highlighted that the work was of scientific value, and 2. Knowledge gained from other presentations, discussions and field trips can be incorporated into future studies. The symposium started and ended with a focus on water. Thailand experiences high levels of rainfall and humidity, but work presented from all over the world also focussed strongly on nutrition interactions with climate. Water uptake, and the environmental influences on water movement in trees, was highlighted as of key importance. Transpiration is the driver of nutrient uptake such that more emphasis should be placed on considering climate in future nutrition trials. New theories on foliar uptake efficiency were also presented by keynote speaker Dr. Thomas Eichert from Germany. Studies have shown that stomata play a greater role in nutrient uptake than previously thought, but still only about 10% of leaf stomata are involved. This bodes well for more targeted and responsive foliar nutrition regimes. Boron was also a hot topic; Boron is a key component of cell walls. Keynote speaker Dr. Toru Matah from Japan explained new findings on how low boron levels induce membrane stretching and trigger the opening of cellular channels which increase cellular calcium. Boron and calcium balance must be maintained; Dr. Matah stressed the importance of ensuring Boron uptake to fruit before rapid fruit growth, as for calcium. Other work showed that boron application should be cultivar specific, as increased stem-end splitting in Gala apples was found with increasing boron levels, even though fruit boron levels were within the optimal range. Nutrient budgeting was also discussed widely. The general consensus being that any methods of nutrient analyses should be more user-friendly, and that simpler methods for budgeting could be developed. Dr. Massimo Tagliavini from Italy put forward a model where nutrient requirements can be estimated from parameters easily measured in the field such as branch circumference. The model is being developed from an extensive study in apples and citrus. Other work supported this approach, and many supported revisiting the timing and number of trees used when under undertaking nutrient sampling. The symposium ended with a presentation from keynote speaker Dr. Denise Neilsen from Canada which again highlighted the importance of water in nutrition. This presentation showed the potential changes in water availability at a regional level under a changing climate, and the flow-on effects on fruit production. This presentation encouraged growers, researchers and policy makers to work together to ensure water security into the future, and emphasised the importance of efficient and targeted resource use. Dr. Penny Measham Tree Physiology Research Fellow Perennial Horticulture Centre Tasmanian Institute of Agriculture (03) 6226 1870 0437 454 622 Penelope.Measham@utas.edu.au

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,070
Score d'incertitude au seuil0,236

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0020,001
Science ouverte0,0010,002
Intégrité de la recherche0,0020,002
Charge utile insuffisante (le modèle a refusé de juger)0,0700,039

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 Opus0,008
Tête enseignante GPT0,189
Écart entre enseignants0,181 · 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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2012
Routes d'admission1
Résumé présentoui

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