Integration of common bean in maize cropping system enhances resilience to rainfall variability in Africa: A meta-analysis
- Beschreibung
The potential effects of climate change on agriculture raise concerns about global food security and nutrition, particularly in tropical agroecoesystems. Therefore, effective climate-smart agricultural technologies such as intercropping, crop rotations and minimum tillage need to be studied, adjusted and optimized to meet current and future nutritional demand for millions of farmers in the tropics. Evidence from the literature shows that intercropping, i.e., growing two or more crop species simultaneously in the same fields, has been reported to strengthen and stabilize agroecosystems during climate shocks and adverse weather events by improving water and nutrient use efficiency. Despite these potentials, management complexity, like species combination and spatial arrangement, remain the key barriers to its productivity and scalability in tropical landscapes. To address the knowledge gaps and estimate the mean yield gain/loss to be expected when switching from sole cropping to intercropping under changing climate, we will analyze various types and designs of intercropping in the tropics using a systematic review and meta-analysis. Similarly, emphasis will be given to various species combinations, more importantly, grain legume and cereal intercropping being the most common practices among farmers in tropical landscapes.
- Beschreibung des interdisziplinären Teils des Projekts
- This project combines agronomy of legume-based intercropping systems with applied statistics in statistical programming with SAS or R software.
- Projektzeitraum
- Wintersemester 2022/2023
- Bewerbungszeitraum
- 17.10. bis 04.11.2022
- Durchführung
- semesterbegleitend
- Details zu Projektzeitraum und Durchführung
The project will begin on mid-November 2022 to mid-January 2023 with flexible in person meeting times. The participants would be guided on data extraction approaches using own algorithms to creating a meta-database and to statistical analysis. Participants will be challenged to implement their own ideas and to contribute in achieving the objective of the project.
- Studienfach
- offen für alle Studienfächer
- Betreuende
- Dr. Eric Koomson
- Institut
- Institut für Tropische Agrarwissenschaften (Hans-Ruthenberg-Institut) (490) (Agronomy in the Tropics and Subtropics (490e))
- Sprache
- englisch
- Teilnehmendenanzahl
- min. 1, max. 1
- Arbeitsaufwand
-
ca. 90 Stunden pro Teilnehmende:r
| 120
ECTS-Punkte
Arbeitsaufwand (Stunden und ggf. ECTS) sind ungefähre Angaben. Die tatsächlich vergebenen ECTS-Punkte ergeben sich aus der tatsächlich geleisteten Arbeit.
- Für dieses Projekt ist kein Motivationsschreiben des Studierenden erforderlich
- Projektart
- empirisch
- Lernziele
-
Die Teilnehmende lernen in diesem Projekt:
The participants learn in this project:
- Systematic search for studies, and selection of references
- Data extraction
- Spatial mapping
- Meta-data analysis using R software
- Introduction to climate and crop modelling using STICS/AgMIP
- Anmerkungen für Studierende
This project will prepare and equip you with practical knowledge needed to do systematic review and meta-analysis on digital platforms. You will also understand the agronomy of legume-cereal intercropping systems, and how their combinations and spatial arrangement affects their productivity in tropical landscapes.