Effects of Tree Age and Soil Property on the Nutritional Status and Fruit Quality of Shenzhou Nane (<i>Prunus Salicina</i> Var. <i>taoxingli</i>)
Notice bibliographique
Résumé
The purpose of this study was to determine the effects of tree age and soil property on the nutritional status and fruit quality of Shengzhou nane ( Prunus Salicina Var. taoxingli ). The contents of the soil nutrients, leaf nutrients during two rapid fruit growth stages and fruit quality indexes of Shengzhou nane with different tree ages in Jinting town, Shengzhou, were measured. The results showed the highest values of the mass per fruit (MPF), the contents of total soluble solids (TSS), soluble sugar (SS), and vitamin C (Vc), and the ratios of TSS/TA and SS/TA, and the lowest value of the titratable acid (TA) content were detected in the fruit of 10~12 year old trees. However, the lowest values of the MPF, fruit firmness (FF), the contents of TSS, and the ratios of TSS/TA were detected in the fruit of 38~40 year old trees. Moreover, the soil of all the orchards detected was acidic or strongly acidic, and the soil pH values decreased with the increase of tree ages. Moreover, all the soil was short of organic matter and alkali-hydrolyzed nitrogen (N), while, the contents of available phosphorus (P), available iron (Fe), available manganese (Mn), and available zinc (Zn) were sufficient. Further, the contents of available potassium (K), available calcium (Ca), available magnesium (Mg), available copper (Cu), and available zinc (Zn) in the rhizosphere of 38~40 year old trees were lack. The results of correlation analysis between the contents of soil nutrients and the fruit quality indexes showed that the fruit quality was mainly affected by the contents of available Cu, available Ca, and available P, and pH value and organic matter content in the soil. In both rapid fruit growth stages, there were significant differences in nutrient contents in the leaves with different tree ages. The highest contents of most nutrients were detected in the leaves of 10~12 year old trees during the fruit ripening stage. The results of correlation analysis between the contents of leaves nutrients during two rapid fruit growth stages and the fruit quality indexes showed that, only the contents of total N, total K, total Ca total Fe, and total Zn in the leaves during the fruit expanding stage significantly affected fruit quality, while, during the fruit ripening stage, the contents of all the nutrients except total Mn all significantly affected the fruit quality. In conclusion, the fruit quality of Shengzhou nane decreased with the increase of tree ages. In order to keep high yield and fruit quality, more organic matter, fertilizers of Ca, Cu, and P should be applied in all the orchards. Further, sufficient fertilizers supply during the fruit ripening stage is very necessary because the nutrient contents in the leaves during this stage had a great influence on the fruit quality.
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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 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 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 ».