Enhancing the Profitability of Wheat
Notice bibliographique
Résumé
Wheat is a staple in many prairie crop rotations, yet as years pass net profitability has declined, despite significant breeding improvements for yield. Unfortunately, updated agronomic research in wheat has been minimal; yet it may be the key to enhancing the profitability of this crop, if management practices are tailored to individual market classes and varieties. This project was designed to incorporate components of intensive wheat management in order to enhance wheat profitability. The first objective was to identify how wheat market classes and varieties are affected by enhanced management and the second objective was to identify how genetic characteristics of wheat interact with the varying soil and climate conditions across Saskatchewan. This small plot research project was conducted at Indian Head, Melfort, Scott, Swift Current and Yorkton, SK from 2017 to 2019. Six wheat varieties from three wheat cla sses were selected based on genetic differences in Fusarium Head Blight resistance, lodging resistance, maturity, yield and protein content. Each variety was grown under three progressively intensified management levels. Results indicate that CWRS varieties tended to be more responsive to Intensive management, on a count of the seed treatment applied, in order to increase plant populations than CPSR or CSWSW varieties. Enhanced management often led to hastened maturity across all varieties, while varietal selection is important in order to prevent delayed maturity with Conventional and Intensive management. Intensive management resulted in maximum yield for CWRS and CPSR varieties, while CWSWS were less responsive to management level. Conversely, CWRS and CPSR varieties were less responsive to management level, while CWSWS benefited the greatest from Intensive management for building protein. Test weight and seed size differences were largely attributed to genetic differences and an y responses to management were of little practical agronomic importance. FDK values were largely reflective of genetic differences, with Enhanced management providing increased control. In the end, CWRS varieties tended to be more profitable than CWSWS and CPSR varieties, with Conventional management providing the best net returns. Overall, CWRS varieties tended to be more responsive to changes in management intensity. Although intensive management resulted in the largest yields, Enhanced management hastened maturity and reduced FDK more consistently. However, Enhanced management did not always out preform Conventional. Therefore, the results of this experiment indicate that Conventional management of wheat in Saskatchewan continues to provide the best return on investment. In some circumstances, Enhanced management can be beneficial. Link to Video Presentation: https://youtu.be/y6kLG1phYUc
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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,013 | 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 ».