New Zealand food and beverage consumer preferences for product attributes and alternative retailers, and in-market use of digital media and smart technology

While much of New Zealand’s primary products are exported, it is still important to understand how domestic consumers value the attributes of food and beverage products, including willingness-to-pay (WTP) for particular product attributes, and use digital media and smart technologies to access information and purchasing food and beverage products. In response to this, firstly a literature review of New Zealand consumer preferences, WTP and technology use was carried out. Secondly, a survey of approximately 1,400 New Zealand consumers was undertaken examining preferences and WTP for credence attributes and their associated factors, attitudes to and use of alternative retailers, and digital media and smart technology use in relation to food and beverages. These results are compared with an overseas study to gain relative insight into the New Zealand market. A distinct difference between New Zealand and international consumers is observed across all factors examined. These results imply that a New Zealand-centric view of international consumers may lead to an underestimation of the potential value that could be captured in international markets

California apple consumer consumption behaviours and product preferences: A Latent Class Analysis

This study is part of a research programme entitled Unlocking Export Prosperity from the Agri-food Values of Aotearoa New Zealand. It is funded by the Ministry of Business, Innovation and Employment (MBIE) Endeavour Fund for science research programmes. The research aims to provide new knowledge on how local enterprises can achieve higher returns by ensuring global consumers understand the distinctive qualities of the physical, credence and cultural attributes of agri-food products that are “Made in New Zealand”. Agricultural exports are an important contributor to the New Zealand (NZ) economy. It is critically important for NZ exporters to understand export markets and the different cultures and preferences of those consumers to safeguard market access, and for realising potential premiums. This report describes the application of a survey of Californian apple consumers that is designed to examine consumption behaviour and consumer Willingness-to Pay (WTP) for credence attributes. While search attributes such as price or colour can be observed directly, and experience attributes such as flavour can be assessed when consumed, credence attributes such as environmental sustainability cannot be immediately seen or experienced at the point of sale. For products promoting credence attributes, the role of verification including labelling is of significant importance. Our approach is to apply a Choice Experiment economic valuation method, analysed using a statistical approach called Latent Class Modelling that describes profiles for different consumer segments identified in the data and provides estimates of attribute WTP across these segments

Texas Sauvignon blanc wine consumer consumption behaviours and product preferences: A Latent Class Analysis

The Agribusiness and Economics Research Unit (AERU) at Lincoln University with the support of research partners under the Unlocking Export Prosperity from the Agri-food Values of Aotearoa New Zealand research programme has estimated willingness-to-pay (WTP) values for selected credence attributes of Sauvignon blanc wine by Texan consumers, with a focus on identifying preferences for attributes considered distinctively New Zealand

United Arab Emirates beef consumer consumption behaviours and product preferences: A Latent Class Analysis

The Agribusiness and Economics Research Unit (AERU) at Lincoln University with the support of research partners under the Unlocking Export Prosperity from the Agri-food Values of Aotearoa New Zealand research programme funded by MBIE has estimated willingness-to-pay (WTP) values for selected credence attributes of beef mince products by United Arab Emirates consumers, with a focus on identifying preferences for attributes considered distinctively New Zealand

UK and USA alternative proteins consumer consumption behaviours and product preferences

This study is part of a research programme entitled Unlocking Export Prosperity from the Agri-food Values of Aotearoa New Zealand. It is funded by the Ministry of Business, Innovation and Employment (MBIE) Endeavour Fund for science research programmes. The research aims to provide new knowledge on how local enterprises can achieve higher returns by ensuring global consumers understand the distinctive qualities of the physical, credence and cultural attributes of agri-food products that are “Made in New Zealand”. Food exports are an important contributor to the New Zealand (NZ) economy and both the United Kingdom (UK) and United States of America (US) are established as important destinations for New Zealand's food product exports. It is critically important for NZ exporters to understand export markets and the different cultures and preferences of those consumers to safeguard market access, and for realising potential premiums. Alternative protein products have emerged as a significant alternative to traditional protein sources such as meat or fish, driven in part by changing consumer preferences and the ecological and climate impacts of traditional livestock production systems. While the rise of alternative protein products has been projected to decrease the global market share for traditional meat products into the future, they also represent a significant opportunity for New Zealand producers and exporters to diversify their offerings, capture additional market share, as well as capture potential premiums for the attributes of these products. This report describes the application of a survey of UK and US (Californian) consumers regarding their consumption of alternative protein. While search attributes such as price or colour can be observed directly, and experience attributes such as flavour or texture can be assessed when consumed, credence attributes such as environmental sustainability cannot be immediately seen or experienced at the point of sale. For products promoting credence attributes, the role of verification including labelling is of significant importance

Evidence for diversifying selection of genetic regions of encoding putative collagen-like host-adhesive fibers in Pasteuria penetrans

© FEMS 2018. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.Pasteuria spp. belong to a group of genetically diverse endospore-forming bacteria (phylum: Firmicutes) that are known to parasitize plant-parasitic nematodes and water fleas (Daphnia spp.). Collagen-like fibres form the nap on the surface of endospores and the genes encoding these sequences have been hypothesised to be involved in the adhesion of the endospores of Pasteuria spp. to their hosts. We report a group of 17 unique collagen-like genes putatively encoded by Pasteuria penetrans (strain: Res148) that formed five different phylogenetic clusters and suggest that collagen-like proteins are an important source of genetic diversity in animal pathogenic Firmicutes including Pasteuria. Additionally, and unexpectedly, we identified a putative collagen-like sequence which had a very different sequence structure to the other collagen-like proteins but was similar to the protein sequences in Megaviruses that are involved in host-parasite interactions. We, therefore, suggest that these diverse endospore surface proteins in Pasteuria are involved in biological functions, such as cellular adhesion; however, they are not of monophyletic origin and were possibly obtained de novo by mutation or possibly through selection acting upon several historic horizontal gene transfer events.Peer reviewedFinal Published versio

Genetical genomics: spotlight on QTL hotspots

No abstract available

Variation in carbon and nitrogen concentrations among peatland categories at the global scale

Publisher Copyright: © 2022 This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.Peatlands account for 15 to 30% of the world's soil carbon (C) stock and are important controls over global nitrogen (N) cycles. However, C and N concentrations are known to vary among peatlands contributing to the uncertainty of global C inventories, but there are few global studies that relate peatland classification to peat chemistry. We analyzed 436 peat cores sampled in 24 countries across six continents and measured C, N, and organic matter (OM) content at three depths down to 70 cm. Sites were distinguished between northern (387) and tropical (49) peatlands and assigned to one of six distinct broadly recognized peatland categories that vary primarily along a pH gradient. Peat C and N concentrations, OM content, and C:N ratios differed significantly among peatland categories, but few differences in chemistry with depth were found within each category. Across all peatlands C and N concentrations in the 10-20 cm layer, were 440 ± 85.1 g kg-1 and 13.9 ± 7.4 g kg-1, with an average C:N ratio of 30.1 ± 20.8. Among peatland categories, median C concentrations were highest in bogs, poor fens and tropical swamps (446-532 g kg-1) and lowest in intermediate and extremely rich fens (375-414 g kg-1). The C:OM ratio in peat was similar across most peatland categories, except in deeper samples from ombrotrophic tropical peat swamps that were higher than other peatlands categories. Peat N concentrations and C:N ratios varied approximately two-fold among peatland categories and N concentrations tended to be higher (and C:N lower) in intermediate fens compared with other peatland types. This study reports on a unique data set and demonstrates that differences in peat C and OM concentrations among broadly classified peatland categories are predictable, which can aid future studies that use land cover assessments to refine global peatland C and N stocks.Peer reviewe