From traits to typologies: Piloting new approaches to profiling trait preferences along the cassava value chain in Nigeria

Crop Science ◽  
2021 ◽  
Author(s):  
Ireti Balogun ◽  
Elisabeth Garner ◽  
Peter Amer ◽  
Peter Fennessy ◽  
Bela Teeken ◽  
...  
Keyword(s):  
Value Chain ◽  
New Approaches ◽  
Trait Preferences

scholarly journals Trait profile of maize varieties preferred by farmers and value chain actors in northern Ghana

2021 ◽  
Vol 41 (4) ◽  
Author(s):  
Gloria Boakyewaa Adu ◽  
Baffour Badu-Apraku ◽  
Richard Akromah ◽  
Isaac Kodzo Amegbor ◽  
Desmond Sunday Adogoba ◽  
...  
Keyword(s):  
Value Chain ◽  
Participatory Rural Appraisal ◽  
Northern Ghana ◽  
Research Strategies ◽  
Maize Varieties ◽  
Variety Selection ◽  
White Grain ◽  
Participatory Variety Selection ◽  
Trait Preferences ◽  
Rural Appraisal

AbstractPlant breeders’ knowledge of precise traits preferred by variety users would accelerate varietal turnover and widen adoption of newly developed maize varieties in Ghana. The objective of this research was to provide empirical evidence of trait preferences of farmers and other actors in the maize value chain in northern Ghana, based on which research strategies for maize improvement could be formulated. Participatory rural appraisal was conducted in 2016 to determine key traits preferred by maize value chain actors across the three regions in northern Ghana. A total of 279 maize value chain actors were interviewed. Different scoring and ranking techniques were used to assess the maize traits preferred by the different actors. Participatory variety selection trials were also conducted in the Tolon, West Gonja, Binduri, and Sissala East districts in northern Ghana from 2014 to 2016. The mother-baby trial approach was used to evaluate eight hybrids with 3000 farmers. Data on yield and agronomic performance of the hybrids and farmer’s selection criteria were collected. Data analyses were performed using GenStat Edition 16 and SPSS Edition 20 statistical packages. The participatory rural appraisal method identified farmers, input dealers, traders, and processors as the primary maize value chain actors in the study areas. Trait preferences of the different actors overlapped and revolved around grain quality including nutritional value, and stress tolerance and grain yield. Results of the participatory variety selection study revealed that across districts, farmers preferred high-yielding varieties with multiple cobs per plant, white grain endosperm color, and bigger and fully filled cobs. For the first time, our holistic assessment of the trait preferences of key actors of the maize value chain in northern Ghana revealed a comprehensive list of traits, which could be used by breeders to develop varieties that may be preferred by all value chain actors in northern Ghana.

In Maschinendaten Fehler beim Gewinden detektieren/Detection of process errors during tapping in machine tool data

2021 ◽  
Vol 111 (01-02) ◽  
pp. 20-24
Author(s):  
Oliver Kohn ◽  
Alexander Fertig ◽  
Benjamin Brockhaus ◽  
Matthias Weigold
Keyword(s):  
Machine Tool ◽  
Value Chain ◽  
Machine Tools ◽  
Data Driven ◽  
New Approaches ◽  
Data Driven Approach ◽  
Cutting Processes ◽  
Detection Of Defects

Die zunehmende Digitalisierung von Werkzeugmaschinen erlaubt neue Ansätze zur Überwachung von Zerspanungsprozessen. Speziell beim Gewindebohren kann am Ende der Wertschöpfungskette ein Fehler im Prozess zum Ausschuss des gesamten Bauteils führen. In diesem Beitrag wird ein neuer datengetriebener Ansatz zur Detektion von Fehlern in Gewindebohrprozessen vorgestellt. Die Basis dafür bilden hochfrequent aufgezeichnete interne Daten der Werkzeugmaschinensteuerung.   The increasing digitalization of machine tools allows for new approaches to monitor and improve cutting processes in machining production. Particularly in the case of tapping, errors in the process at the end of the value chain can lead to rejection of the entire component. In this paper, a new data-driven approach for the detection of defects during tapping processes is presented. The basis for this approach is provided by high-frequently recorded internal machine tool data.

Beyond autism: Challenging unexamined assumptions about social motivation in typical development

2019 ◽  
Vol 42 ◽  
Author(s):  
Karen Bartsch ◽  
David Estes
Keyword(s):  
Social Interest ◽  
Social Motivation ◽  
Typical Development ◽  
Typically Developing ◽  
New Approaches

Abstract In challenging the assumption of autistic social uninterest, Jaswal & Akhtar have opened the door to scrutinizing similar unexamined assumptions embedded in other literatures, such as those on children's typically developing behaviors regarding others’ minds and morals. Extending skeptical analysis to other areas may reveal new approaches for evaluating competing claims regarding social interest in autistic individuals.

New approaches to cancer gene discovery

2002 ◽  
Vol 38 (11) ◽  
pp. S7
Author(s):  
B Weber
Keyword(s):  
Gene Discovery ◽  
Cancer Gene ◽  
New Approaches

Correcting Ocular Artefact in Electrophysiological Data: New Approaches to Old Problems

2000 ◽  
Vol 14 (4) ◽  
pp. 203-203 ◽  
Author(s):  
Geoff Barrett
Keyword(s):  
Electrophysiological Data ◽  
New Approaches ◽  
Ocular Artefact

Conceptual Development: New Approaches

1985 ◽  
Vol 30 (6) ◽  
pp. 457-458
Author(s):  
Carolyn B. Mervis
Keyword(s):  
Conceptual Development ◽  
New Approaches
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