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Enregistrement W6992469691

Legume-oilseed intercropping in mechanised broadacre agriculture in a Mediterranean climate

2022· dissertation· en· W6992469691 sur OpenAlexaboutno aff

Notice bibliographique

RevueAdelaide Research & Scholarship (AR&S) (University of Adelaide) · 2022
Typedissertation
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueAgronomic Practices and Intercropping Systems
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésIntercroppingAgricultureMediterranean climateYield (engineering)Crop yieldCropEcosystem services
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Intercropping is a system of farming whereby multiple crop species are grown together for a significant period of time. There are many types of intercropping, differing in layout and species combination, as well as the ecosystem services they provide. In large-scale mechanised systems, intercropping has traditionally utilised cereal-legume pairings with the aim of overyielding (increased combined intercrop yield per unit area compared with the respective monocrops). However, as the price of synthetic inputs such as fertilisers and fungicides rises globally, interest in legume-oilseed intercropping as a low input system is increasing. Legume-oilseed intercropping entails growing a legume and an oilseed species together, often with the goal of harvesting the grain of both crops. Legume-oilseed intercropping provides the same benefits as cereal-legume intercrops whilst mitigating many of the logistical challenges that have previously stymied widespread adoption of the system in broadacre farming. Although oilseed-legume intercropping is becoming increasingly popular in broadacre agriculture, its adoption has not been uniform. The majority of research is conducted in northern Europe, Canada and China, with data from Mediterranean-type climates lacking. As such, this thesis investigated the potential of legume-oilseed intercropping as a low input system in a Mediterranean climate, with a focus on yield and nutrient uptake efficiency and economic productivity, relative to their respective sole crops. The role of arbuscular mycorrhizal fungi (AMF) in facilitating improved intercrop phosphorus nutrition was also investigated. It was hypothesised that the legume-oilseed intercrops would be more productive, in both a yield and economic sense, under low input scenarios than their respective sole crops and have greater nutrient uptake and nutrient uptake efficiency than their respective sole crops. It was also hypothesised that mycorrhizal colonisation of roots would improve phosphorus acquisition and that intercropping would affect mycorrhizal colonisation, with the direction of this affect dependent on intercrop species combinations. Over the 2019, 2020, and 2021 winter growing seasons a total of seven field experiments were conducted in the Mediterranean climate zone of southern Australia. Three field experiments were conducted in 2019, three in 2020, and one in 2021. Chickpea (Cicer arietinum L.) was intercropped with linseed (Linum usitarissimum L.) under varying fertiliser regimes across three sites during 2019 and 2020. There were six fertiliser application treatments combining three levels of nitrogen application (0 kg N ha-1, 25 kg N ha-1, and 50 kg N ha-1) and two levels of phosphorus application (0 kg P ha-1 and 20 kg P ha-1) (0N0P, 0N20P, 25N0P, 25N20P, 50N0P, 50N20P). Chickpea and linseed were also intercropped under varying fungicide regimes (nil, foliar fungicide, foliar fungicide + desiccant) in 2019 and 2020 at Hart field site, as were chickpea and canola (Brassica napus L.) in 2020. Finally, chickpea-linseed, chickpea-canola, and lentil (Lens. culinaris L.)-canola intercropping field trials were sampled in 2020 and 2021 at Hart field site. A glasshouse study utilising the same intercrop species combinations and the respective sole crops was also conducted. Fertiliser treatment did not affect yield in the chickpea-linseed intercrops, and there was no significant difference between total intercrop yield and sole crop yield, with the intercrop yielding 78% and 103% of sole chickpea and linseed, respectively. Intercrop nitrogen uptake land use efficiency was improved, with the sole crops needing 27% more land to achieve the same nitrogen uptake. Intercropping also increased nitrogen fixation in the chickpea, with 36% and 44% Ndfa in the sole and intercrop chickpea, respectively. Conversely, intercrop phosphorus uptake land use efficiency was reduced, with the sole crops needing 8% less land to achieve the same phosphorus uptake. The land equivalency ratio (LER) of the chickpea-linseed intercrops under nil fertilisation averaged 1.04 compared with 0.94 under high fertilisation. The LER of the intercrops under nil fungicide averaged 1.39 compared with 0.93 under high fungicide. Intercropping provided gross margin stability across environments, while the gross margins of the sole crops varied depending on environment, a pattern that held even when grain prices and input costs varied. In the chickpea-oilseed and lentil-canola intercrops, mycorrhizal colonisation and the subsequent effect on phosphorus nutrition were host plant dependent. Lentil was the most mycorrhizal plant, followed by linseed, chickpea, and then canola. Only in lentil in the glasshouse was there a correlation between mycorrhizal colonisation and shoot phosphorus (R = 0.79, p<0.001). Intercropping did not affect AMF colonisation in the field, but in the glasshouse intercropping with canola reduced mycorrhizal colonisation of lentil. The interaction between intercropping and AMF had a limited effect on crop growth and shoot phosphorus. Outside of the AMF-intercropping interaction, intercropping with chickpea increased canola shoot phosphorus. In summary, I found that legume-oilseed intercropping appears well suited as a low-input system in broadacre cropping in Mediterranean environments. Although the actual yield of the intercrops was similar to those of the respective sole crops, intercropping chickpea with the oilseed species linseed and canola resulted in improved land use efficiency (LER) relative to the sole crops, particularly under reduced fertiliser and fungicide inputs. The intercrops also provided greater gross margins under low input scenarios, and improved yield stability across environments. The results show that legume-oilseed intercropping can be utilised as a risk mitigation strategy and a profitable alternative to traditional high input monocultures in a global environment of rising synthetic input costs.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,005
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,854
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0050,001
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0010,000
Communication savante0,0000,002
Science ouverte0,0020,001
Intégrité de la recherche0,0010,005
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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.

Tête enseignante Opus0,065
Tête enseignante GPT0,313
Écart entre enseignants0,248 · 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 tête enseignante, pas un consensus.

Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

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
Publié2022
Routes d'admission1
Résumé présentoui

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