Effects of limestone applications on soil pH and extractable elements in a cauliflower field study
Notice bibliographique
Résumé
The pH and Mehlich-3 extractable concentrations of a variety of elements including those that were study treatments (Ca, Mn and Zn) and those that were expected to be influenced by the treatments (Mg, Sr, K, Rb, Na, Al, Fe, Si and Cu) were determined in soil samples from a cauliflower field trial conducted between 1979 and 1985. The treatments were limestone applied to the soil at three rates (0, 9 and 19 Mg ha -1 ) and Zn and Mn foliar applications. The pH of air-dried samples varied only slightly when analysed within each year of sampling versus as one batch after the trial was completed, which showed that the samples were stable over the long time the samples had to be stored through the field trial period and until the samples were analysed. Being able to do all the analyses in one batch also facilitated the application of quality control to ensure comparability of results. There were differences in the soil measurements of most of the elements taken pre-plant versus post-harvest, showing that the time of sampling must be consistent for experimental and soil test interpretations. Post-harvest samples (i.e., focusing on residual effects of limestone application) were selected to examine the treatment effects. Limestone application had wide-ranging and variable effects on extractable elements in the soil. Soil pH and extractable Ca increased with increased limestone rate as expected, while the amount of extractable Mn, Zn, K, Mg, Na, Al and Fe decreased. Extractable Sr, Si and Cu increased with limestone applications. Extractable Ca, Zn, Mg, Al and Si were affected to 15-30 cm depth, and pH and extractable Mn, Rb and Fe were affected to 30-60 cm. Subsurface (>15 cm depth) Sr, K, Na and Cu were not influenced by the limestone treatments. The effect of limestone on the elements tended to correspond to the effect previously observed on the contents of these elements in cauliflower plants. The ability of Mehlich-3 extract solution to reflect the availability of elements to plants and the effect of limestone applications on other elements simultaneously showed the potential for this soil test solution to predict the need for nutrient amendments to prevent lime-induced deficiencies.
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 | 0,001 | 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 ».