选择模型在理解东南亚小麦用户偏好中的应用

Q3 Agricultural and Biological Sciences Cereal Foods World Pub Date : 2020-01-01 DOI:10.1094/cfw-65-5-0056
R. Kingwell, Chris G. Carter
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The export of agricultural commodities, like wheat, involves a multitude of decisions by buyers and providers of these commodities. The provision of wheat for export, for example, first involves decisions by plant breeders as to which parental materials to use in crossing programs and then later deciding which traits are worth selecting for in advanced plant lines (5,20). In the competitive world of grain export, being able to offer buyers fit-for-purpose wheat is an advantage. This article shows how use of choice modeling can aid wheat breeders to make better decisions to ensure their wheat varieties are truly fit-for-purpose in Southeast Asia, globally the largest outlet for wheat exports (11). Although rice is a principal dietary staple (24) in Southeast Asia, a gradual dietary shift is underway in most Southeast Asian countries toward greater consumption of other grains, especially wheat (13). In many Southeast Asian countries, higher per capita incomes and continuing urbanization favor increased per capita consumption of wheat and a lesser role of rice in diets (4,27,28). However, Southeast Asian countries are climatically unsuited to wheat production, so they must rely on wheat imports to satisfy their wheat consumption needs. In Southeast Asia, wheat imports have risen from 1 Mt in 1961 to a projected 27.6 Mt in 2019–2020 (11). Wheat-based foods such as instant noodles have rapidly become popular. For example, wheat-based instant noodles were first introduced in Indonesia in the 1970s, yet it is now the second largest instant noodle market globally (behind China), accounting for almost 15% of global consumption of instant noodles (16,17). Indonesia is also the fourth largest per capita consumer of instant noodles globally. Such is the demand for wheat emanating from Southeast Asian countries that Southeast Asia is now the largest and fastest growing destination for wheat exports, attracting wheat from Canada, the United States, Argentina, the Black Sea region, and Australia. Indonesia, for example, is now the world’s second-largest importer of wheat. The logistics of wheat importation are well established, with wheat being an internationally traded commodity based on shipping contracts that specify the key required characteristics of the wheat cargo (e.g., moisture content, protein range, test weight, wheat class). Some contract characteristics, such as wheat class, are a proxy for a bundle of wheat quality characteristics required for particular end products (6). Wheat quality is a complex issue (21,26). After being transformed into flour, wheat can be used to produce diverse end products ranging from breads to pastas, noodles, dumplings, cakes, pastries, and biscuits (cookies). Each end product, however, requires particular flour qualities usually derived from the blending wheat flours with different qualities, with the expression of wheat quality in any flour arising from the complex interplay of wheat plant genetics, the climate in the country of origin, and the grain processing systems used in the importing country. Often, wheat quality is approximated by indicators such as wheat class, grain hardness, grain protein content, test weight, falling number measurements, and moisture content—all of which are incorporated in shipping contract specifications. However, almost all shipping contracts incompletely specify the grain functionality requirements of the end user. Rather than rely on limited indicators of wheat quality, as specified in trade contracts, it is possible to more directly and accurately identify the traits of wheat quality preferred by key wheat users when making particular end products. More complete and accurate knowledge of the trait preferences of end users can facilitate the decision-making of wheat breeders, who are charged with assembling a mix of traits in new varieties that will offer benefits to farmers and those subsequently reliant on that wheat to produce various end products. This issue is the focus of this article. Specifically, we identify what quality attributes are most valued by wheat buyers and milling technicians in major Southeast Asian markets when their end purpose is to make particular bread or noodle products. Objective information on their wheat preferences was collected through choice modeling experiments. More accurately, identifying end-user preferences and relaying that information back to wheat breeders can increase the efficiency and effectiveness of the wheat exporting country’s response to Southeast Asian end-user needs. An implication for food producers in Southeast Asia is that they can share in the efficiency gains of better decisionmaking that more accurately matches the supply of wheat with desired qualities to meet the needs of end users. Application of Choice Modeling for Understanding Wheat User Preferences in Southeast Asia1 Ross Kingwell2 and Chris Carter3 1 This research was funded by the Grains R&D Corporation (GRDC). 2 University of Western Australia and Australian Export Grains Innovation Centre. E-mail: ross.kingwell@aegic.org.au 3 Australian Export Grains Innovation Centre. E-mail: chris.carter@aegic.org.au https://doi.org/10.1094/CFW-65-4-0056 © 2020 Cereals & Grains Association CEREAL FOODS WORLD, SEPTEMBER-OCTOBER 2020, VOL. 65, NO. 5 / DOI: https://doi.org/10.1094/CFW-65-5-0056","PeriodicalId":50707,"journal":{"name":"Cereal Foods World","volume":"31 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of Choice Modeling for Understanding Wheat User Preferences in Southeast Asia\",\"authors\":\"R. Kingwell, Chris G. Carter\",\"doi\":\"10.1094/cfw-65-5-0056\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Southeast Asia is the largest and fastest growing destination for global wheat exports and is projected to attract 27.6 Mt of wheat from Canada, the United States, Argentina, the Black Sea region, and Australia in 2019–2020. This article outlines how choice modeling can be applied to improve wheat breeding to ensure new varieties are better suited to end-user preferences in Southeast Asia. We describe a choice modeling study involving Southeast Asian wheat buyers and millers responsible for more than 70% of flour production in the region. Depending on the food produced from wheat flour, similarities and some differences in the trait preferences of wheat buyers and millers were revealed. The choice modeling approach illustrated here could be applied to other grains, other products, and other regions. The export of agricultural commodities, like wheat, involves a multitude of decisions by buyers and providers of these commodities. The provision of wheat for export, for example, first involves decisions by plant breeders as to which parental materials to use in crossing programs and then later deciding which traits are worth selecting for in advanced plant lines (5,20). In the competitive world of grain export, being able to offer buyers fit-for-purpose wheat is an advantage. This article shows how use of choice modeling can aid wheat breeders to make better decisions to ensure their wheat varieties are truly fit-for-purpose in Southeast Asia, globally the largest outlet for wheat exports (11). Although rice is a principal dietary staple (24) in Southeast Asia, a gradual dietary shift is underway in most Southeast Asian countries toward greater consumption of other grains, especially wheat (13). In many Southeast Asian countries, higher per capita incomes and continuing urbanization favor increased per capita consumption of wheat and a lesser role of rice in diets (4,27,28). However, Southeast Asian countries are climatically unsuited to wheat production, so they must rely on wheat imports to satisfy their wheat consumption needs. In Southeast Asia, wheat imports have risen from 1 Mt in 1961 to a projected 27.6 Mt in 2019–2020 (11). Wheat-based foods such as instant noodles have rapidly become popular. For example, wheat-based instant noodles were first introduced in Indonesia in the 1970s, yet it is now the second largest instant noodle market globally (behind China), accounting for almost 15% of global consumption of instant noodles (16,17). Indonesia is also the fourth largest per capita consumer of instant noodles globally. Such is the demand for wheat emanating from Southeast Asian countries that Southeast Asia is now the largest and fastest growing destination for wheat exports, attracting wheat from Canada, the United States, Argentina, the Black Sea region, and Australia. Indonesia, for example, is now the world’s second-largest importer of wheat. The logistics of wheat importation are well established, with wheat being an internationally traded commodity based on shipping contracts that specify the key required characteristics of the wheat cargo (e.g., moisture content, protein range, test weight, wheat class). Some contract characteristics, such as wheat class, are a proxy for a bundle of wheat quality characteristics required for particular end products (6). Wheat quality is a complex issue (21,26). After being transformed into flour, wheat can be used to produce diverse end products ranging from breads to pastas, noodles, dumplings, cakes, pastries, and biscuits (cookies). Each end product, however, requires particular flour qualities usually derived from the blending wheat flours with different qualities, with the expression of wheat quality in any flour arising from the complex interplay of wheat plant genetics, the climate in the country of origin, and the grain processing systems used in the importing country. Often, wheat quality is approximated by indicators such as wheat class, grain hardness, grain protein content, test weight, falling number measurements, and moisture content—all of which are incorporated in shipping contract specifications. However, almost all shipping contracts incompletely specify the grain functionality requirements of the end user. Rather than rely on limited indicators of wheat quality, as specified in trade contracts, it is possible to more directly and accurately identify the traits of wheat quality preferred by key wheat users when making particular end products. More complete and accurate knowledge of the trait preferences of end users can facilitate the decision-making of wheat breeders, who are charged with assembling a mix of traits in new varieties that will offer benefits to farmers and those subsequently reliant on that wheat to produce various end products. This issue is the focus of this article. Specifically, we identify what quality attributes are most valued by wheat buyers and milling technicians in major Southeast Asian markets when their end purpose is to make particular bread or noodle products. Objective information on their wheat preferences was collected through choice modeling experiments. More accurately, identifying end-user preferences and relaying that information back to wheat breeders can increase the efficiency and effectiveness of the wheat exporting country’s response to Southeast Asian end-user needs. An implication for food producers in Southeast Asia is that they can share in the efficiency gains of better decisionmaking that more accurately matches the supply of wheat with desired qualities to meet the needs of end users. 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引用次数: 0

摘要

东南亚是全球小麦出口最大、增长最快的目的地,预计2019-2020年将从加拿大、美国、阿根廷、黑海地区和澳大利亚吸引2760万吨小麦。本文概述了选择模型如何应用于改进小麦育种,以确保新品种更适合东南亚最终用户的偏好。我们描述了一项选择模型研究,涉及东南亚小麦买家和磨坊主,他们负责该地区70%以上的面粉生产。根据小麦粉生产的食物,小麦购买者和磨坊主在性状偏好上的相似之处和一些差异被揭示出来。这里说明的选择建模方法可以应用于其他谷物、其他产品和其他地区。小麦等农产品的出口涉及这些商品的买家和供应商的众多决策。例如,提供小麦出口,首先涉及到植物育种者决定在杂交计划中使用哪种亲本材料,然后决定在高级植物品系中选择哪些性状(5,20)。在竞争激烈的粮食出口领域,能够向买家提供适合用途的小麦是一种优势。本文展示了选择模型的使用如何帮助小麦育种者做出更好的决策,以确保他们的小麦品种真正适合东南亚这个全球最大的小麦出口市场(11)。虽然大米是东南亚的主要主食(24),但大多数东南亚国家的饮食结构正在逐渐转向更多地食用其他谷物,尤其是小麦(13)。在许多东南亚国家,较高的人均收入和持续的城市化有利于增加人均小麦消费量,减少大米在饮食中的作用(4,27,28)。然而,东南亚国家的气候不适合小麦生产,因此它们必须依靠小麦进口来满足其小麦消费需求。在东南亚,小麦进口量已从1961年的100万吨增加到2019-2020年预计的2760万吨(11)。方便面等以小麦为基础的食品迅速流行起来。例如,以小麦为基础的方便面于20世纪70年代首次在印度尼西亚推出,但它现在是全球第二大方便面市场(仅次于中国),占全球方便面消费量的近15%(16,17)。印尼也是全球第四大人均方便面消费国。东南亚国家对小麦的需求如此之大,以至于东南亚现在是小麦出口的最大和增长最快的目的地,吸引了来自加拿大、美国、阿根廷、黑海地区和澳大利亚的小麦。例如,印尼现在是世界第二大小麦进口国。小麦进口的物流已经建立良好,小麦是一种国际贸易商品,其基础是运输合同,该合同规定了小麦货物的关键要求特征(例如,水分含量、蛋白质范围、测试重量、小麦类别)。一些合约特征,如小麦等级,代表了特定最终产品所需的一系列小麦品质特征(6)。小麦品质是一个复杂的问题(21,26)。小麦被加工成面粉后,可以用来制作面包、意大利面、面条、饺子、蛋糕、糕点、饼干等各种最终产品。然而,每种最终产品都需要特殊的面粉品质,通常是由不同品质的小麦粉混合而成,任何面粉的小麦品质都是由小麦植物遗传、原产国的气候和进口国使用的谷物加工系统的复杂相互作用产生的。通常,小麦质量是通过诸如小麦等级、谷物硬度、谷物蛋白质含量、测试重量、下降数测量和水分含量等指标来近似衡量的,所有这些指标都包含在运输合同规范中。然而,几乎所有的运输合同都没有完全指定最终用户的基本功能需求。与其依赖贸易合同中规定的有限的小麦品质指标,还不如更直接、更准确地确定关键小麦用户在生产特定终端产品时所偏爱的小麦品质特征。更全面和准确地了解最终用户的性状偏好可以促进小麦育种者的决策,他们负责在新品种中组合各种性状,为农民和随后依赖该小麦生产各种最终产品的人提供利益。这个问题是本文的重点。 东南亚是全球小麦出口最大、增长最快的目的地,预计2019-2020年将从加拿大、美国、阿根廷、黑海地区和澳大利亚吸引2760万吨小麦。本文概述了选择模型如何应用于改进小麦育种,以确保新品种更适合东南亚最终用户的偏好。我们描述了一项选择模型研究,涉及东南亚小麦买家和磨坊主,他们负责该地区70%以上的面粉生产。根据小麦粉生产的食物,小麦购买者和磨坊主在性状偏好上的相似之处和一些差异被揭示出来。这里说明的选择建模方法可以应用于其他谷物、其他产品和其他地区。小麦等农产品的出口涉及这些商品的买家和供应商的众多决策。例如,提供小麦出口,首先涉及到植物育种者决定在杂交计划中使用哪种亲本材料,然后决定在高级植物品系中选择哪些性状(5,20)。在竞争激烈的粮食出口领域,能够向买家提供适合用途的小麦是一种优势。本文展示了选择模型的使用如何帮助小麦育种者做出更好的决策,以确保他们的小麦品种真正适合东南亚这个全球最大的小麦出口市场(11)。虽然大米是东南亚的主要主食(24),但大多数东南亚国家的饮食结构正在逐渐转向更多地食用其他谷物,尤其是小麦(13)。在许多东南亚国家,较高的人均收入和持续的城市化有利于增加人均小麦消费量,减少大米在饮食中的作用(4,27,28)。然而,东南亚国家的气候不适合小麦生产,因此它们必须依靠小麦进口来满足其小麦消费需求。在东南亚,小麦进口量已从1961年的100万吨增加到2019-2020年预计的2760万吨(11)。方便面等以小麦为基础的食品迅速流行起来。例如,以小麦为基础的方便面于20世纪70年代首次在印度尼西亚推出,但它现在是全球第二大方便面市场(仅次于中国),占全球方便面消费量的近15%(16,17)。印尼也是全球第四大人均方便面消费国。东南亚国家对小麦的需求如此之大,以至于东南亚现在是小麦出口的最大和增长最快的目的地,吸引了来自加拿大、美国、阿根廷、黑海地区和澳大利亚的小麦。例如,印尼现在是世界第二大小麦进口国。小麦进口的物流已经建立良好,小麦是一种国际贸易商品,其基础是运输合同,该合同规定了小麦货物的关键要求特征(例如,水分含量、蛋白质范围、测试重量、小麦类别)。一些合约特征,如小麦等级,代表了特定最终产品所需的一系列小麦品质特征(6)。小麦品质是一个复杂的问题(21,26)。小麦被加工成面粉后,可以用来制作面包、意大利面、面条、饺子、蛋糕、糕点、饼干等各种最终产品。然而,每种最终产品都需要特殊的面粉品质,通常是由不同品质的小麦粉混合而成,任何面粉的小麦品质都是由小麦植物遗传、原产国的气候和进口国使用的谷物加工系统的复杂相互作用产生的。通常,小麦质量是通过诸如小麦等级、谷物硬度、谷物蛋白质含量、测试重量、下降数测量和水分含量等指标来近似衡量的,所有这些指标都包含在运输合同规范中。然而,几乎所有的运输合同都没有完全指定最终用户的基本功能需求。与其依赖贸易合同中规定的有限的小麦品质指标,还不如更直接、更准确地确定关键小麦用户在生产特定终端产品时所偏爱的小麦品质特征。更全面和准确地了解最终用户的性状偏好可以促进小麦育种者的决策,他们负责在新品种中组合各种性状,为农民和随后依赖该小麦生产各种最终产品的人提供利益。这个问题是本文的重点。 具体来说,我们确定了东南亚主要市场的小麦买家和碾磨技术人员在最终目的是制作特定的面包或面条产品时最看重的质量属性。通过选择建模实验,收集他们小麦偏好的客观信息。更准确地说,确定最终用户的偏好并将信息反馈给小麦育种者,可以提高小麦出口国对东南亚最终用户需求的响应效率和有效性。对东南亚的粮食生产者来说,这意味着他们可以分享更好的决策所带来的效率收益,更准确地将小麦供应与期望的品质相匹配,以满足最终用户的需求。选择模型在理解东南亚小麦用户偏好中的应用[j] Ross Kingwell2 and Chris carter 31 1本研究由grain R&D Corporation (GRDC)资助。2西澳大利亚大学和澳大利亚出口谷物创新中心。电子邮件:ross.kingwell@aegic.org.au 3澳大利亚出口谷物创新中心。E-mail: chris.carter@aegic.org.au https://doi.org/10.1094/CFW-65-4-0056©2020谷物和谷物协会谷物食品世界,2020年9 - 10月,第65卷,NO。5 / DOI: https://doi.org/10.1094/CFW-65-5-0056 具体来说,我们确定了东南亚主要市场的小麦买家和碾磨技术人员在最终目的是制作特定的面包或面条产品时最看重的质量属性。通过选择建模实验,收集他们小麦偏好的客观信息。更准确地说,确定最终用户的偏好并将信息反馈给小麦育种者,可以提高小麦出口国对东南亚最终用户需求的响应效率和有效性。对东南亚的粮食生产者来说,这意味着他们可以分享更好的决策所带来的效率收益,更准确地将小麦供应与期望的品质相匹配,以满足最终用户的需求。选择模型在理解东南亚小麦用户偏好中的应用[j] Ross Kingwell2 and Chris carter 31 1本研究由grain R&D Corporation (GRDC)资助。2西澳大利亚大学和澳大利亚出口谷物创新中心。电子邮件:ross.kingwell@aegic.org.au 3澳大利亚出口谷物创新中心。E-mail: chris.carter@aegic.org.au https://doi.org/10.1094/CFW-65-4-0056©2020谷物和谷物协会谷物食品世界,2020年9 - 10月,第65卷,NO。5 / DOI: https://doi.org/10.1094/CFW-65-5-0056
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Application of Choice Modeling for Understanding Wheat User Preferences in Southeast Asia
Southeast Asia is the largest and fastest growing destination for global wheat exports and is projected to attract 27.6 Mt of wheat from Canada, the United States, Argentina, the Black Sea region, and Australia in 2019–2020. This article outlines how choice modeling can be applied to improve wheat breeding to ensure new varieties are better suited to end-user preferences in Southeast Asia. We describe a choice modeling study involving Southeast Asian wheat buyers and millers responsible for more than 70% of flour production in the region. Depending on the food produced from wheat flour, similarities and some differences in the trait preferences of wheat buyers and millers were revealed. The choice modeling approach illustrated here could be applied to other grains, other products, and other regions. The export of agricultural commodities, like wheat, involves a multitude of decisions by buyers and providers of these commodities. The provision of wheat for export, for example, first involves decisions by plant breeders as to which parental materials to use in crossing programs and then later deciding which traits are worth selecting for in advanced plant lines (5,20). In the competitive world of grain export, being able to offer buyers fit-for-purpose wheat is an advantage. This article shows how use of choice modeling can aid wheat breeders to make better decisions to ensure their wheat varieties are truly fit-for-purpose in Southeast Asia, globally the largest outlet for wheat exports (11). Although rice is a principal dietary staple (24) in Southeast Asia, a gradual dietary shift is underway in most Southeast Asian countries toward greater consumption of other grains, especially wheat (13). In many Southeast Asian countries, higher per capita incomes and continuing urbanization favor increased per capita consumption of wheat and a lesser role of rice in diets (4,27,28). However, Southeast Asian countries are climatically unsuited to wheat production, so they must rely on wheat imports to satisfy their wheat consumption needs. In Southeast Asia, wheat imports have risen from 1 Mt in 1961 to a projected 27.6 Mt in 2019–2020 (11). Wheat-based foods such as instant noodles have rapidly become popular. For example, wheat-based instant noodles were first introduced in Indonesia in the 1970s, yet it is now the second largest instant noodle market globally (behind China), accounting for almost 15% of global consumption of instant noodles (16,17). Indonesia is also the fourth largest per capita consumer of instant noodles globally. Such is the demand for wheat emanating from Southeast Asian countries that Southeast Asia is now the largest and fastest growing destination for wheat exports, attracting wheat from Canada, the United States, Argentina, the Black Sea region, and Australia. Indonesia, for example, is now the world’s second-largest importer of wheat. The logistics of wheat importation are well established, with wheat being an internationally traded commodity based on shipping contracts that specify the key required characteristics of the wheat cargo (e.g., moisture content, protein range, test weight, wheat class). Some contract characteristics, such as wheat class, are a proxy for a bundle of wheat quality characteristics required for particular end products (6). Wheat quality is a complex issue (21,26). After being transformed into flour, wheat can be used to produce diverse end products ranging from breads to pastas, noodles, dumplings, cakes, pastries, and biscuits (cookies). Each end product, however, requires particular flour qualities usually derived from the blending wheat flours with different qualities, with the expression of wheat quality in any flour arising from the complex interplay of wheat plant genetics, the climate in the country of origin, and the grain processing systems used in the importing country. Often, wheat quality is approximated by indicators such as wheat class, grain hardness, grain protein content, test weight, falling number measurements, and moisture content—all of which are incorporated in shipping contract specifications. However, almost all shipping contracts incompletely specify the grain functionality requirements of the end user. Rather than rely on limited indicators of wheat quality, as specified in trade contracts, it is possible to more directly and accurately identify the traits of wheat quality preferred by key wheat users when making particular end products. More complete and accurate knowledge of the trait preferences of end users can facilitate the decision-making of wheat breeders, who are charged with assembling a mix of traits in new varieties that will offer benefits to farmers and those subsequently reliant on that wheat to produce various end products. This issue is the focus of this article. Specifically, we identify what quality attributes are most valued by wheat buyers and milling technicians in major Southeast Asian markets when their end purpose is to make particular bread or noodle products. Objective information on their wheat preferences was collected through choice modeling experiments. More accurately, identifying end-user preferences and relaying that information back to wheat breeders can increase the efficiency and effectiveness of the wheat exporting country’s response to Southeast Asian end-user needs. An implication for food producers in Southeast Asia is that they can share in the efficiency gains of better decisionmaking that more accurately matches the supply of wheat with desired qualities to meet the needs of end users. Application of Choice Modeling for Understanding Wheat User Preferences in Southeast Asia1 Ross Kingwell2 and Chris Carter3 1 This research was funded by the Grains R&D Corporation (GRDC). 2 University of Western Australia and Australian Export Grains Innovation Centre. E-mail: ross.kingwell@aegic.org.au 3 Australian Export Grains Innovation Centre. E-mail: chris.carter@aegic.org.au https://doi.org/10.1094/CFW-65-4-0056 © 2020 Cereals & Grains Association CEREAL FOODS WORLD, SEPTEMBER-OCTOBER 2020, VOL. 65, NO. 5 / DOI: https://doi.org/10.1094/CFW-65-5-0056
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来源期刊
Cereal Foods World
Cereal Foods World 工程技术-食品科技
CiteScore
1.40
自引率
0.00%
发文量
0
审稿时长
>36 weeks
期刊介绍: Food industry professionals rely on Cereal Foods World (CFW) to bring them the most current industry and product information. Contributors are real-world industry professionals with hands-on experience. CFW covers grain-based food science, technology, and new product development. It includes high-quality feature articles and scientific research papers that focus on advances in grain-based food science and the application of these advances to product development and food production practices.
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