The INCREASE project: Intelligent Collections of food-legume genetic resources for European agrofood systems.
The INCREASE project: Intelligent Collections of food-legume genetic resources for European agrofood systems.
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DOI：
10.1111/tpj.15472
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发表时间：
2021-11
期刊：
影响因子：
7.2
通讯作者：
Papa, Roberto
中科院分区：
文献类型：
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作者：
Bellucci, Elisa;Mario Aguilar, Orlando;Alseekh, Saleh;Bett, Kirstin;Brezeanu, Creola;Cook, Douglas;de la Rosa, Lucia;Delledonne, Massimo;Dostatny, Denise F.;Ferreira, Juan J.;Geffroy, Valerie;Ghitarrini, Sofia;Kroc, Magdalena;Kumar Agrawal, Shiv;Logozzo, Giuseppina;Marino, Mario;Mary-Huard, Tristan;McClean, Phil;Meglic, Vladimir;Messer, Tamara;Muel, Frederic;Nanni, Laura;Neumann, Kerstin;Servalli, Filippo;Strajeru, Silvia;Varshney, Rajeev K.;Vasconcelos, Marta W.;Zaccardelli, Massimo;Zavarzin, Aleksei;Bitocchi, Elena;Frontoni, Emanuele;Fernie, Alisdair R.;Gioia, Tania;Graner, Andreas;Guasch, Luis;Prochnow, Lena;Oppermann, Markus;Susek, Karolina;Tenaillon, Maud;Papa, Roberto
食用豆类对于所有与农业相关的社会挑战至关重要，包括减缓气候变化、保护农业生物多样性、可持续农业、粮食安全和人类健康。向以豆类为主的植物性饮食的过渡可能会带来适应和缓解的重大机会，为人类健康带来显着的共同利益。迄今大部分尚未开发的粮食豆类遗传资源的表征、维护和开发构成了可持续农业和健康粮食系统的核心发展。 INCREASE 将对鹰嘴豆 (Cicer arietinum)、菜豆 (Phaseolus vulgaris)、扁豆 (Lens culinaris) 和羽扇豆 (Lupinus albus 和 L. mutabilis) 实施一种保护、管理和表征遗传资源的新方法。将开发由单种子血统纯化种质（即自交系）组成的嵌套核心种质的智能种质，利用来自基因库和农场的种质，并进行不同水平的基因型和表型表征。表型和基因发现活动将通过参与式方法满足各种参与者的需求，包括育种者、科学家、农民以及农业食品和非食品行业，同时利用大规模代谢组学和转录组学以及人工智能和智能工具的力量。此外，INCREASE将通过公民科学实验，测试基于分散数据管理和动态保护方法的遗传资源保护和利用创新系统。通过促进食用豆类的利用，提高其质量、适应性和产量，并提高农业和食品部门的竞争力，INCREASE战略将对经济和社会产生重大影响，并代表了作物遗传资源保护和利用的综合性和参与性方法的案例研究。 INCREASE 重点关注重要的食用豆类，即鹰嘴豆 (Cicer arietinum)、菜豆 (Phaseolus vulgaris)、扁豆 (Lens culinaris) 和羽扇豆 (Lupinus albus 和 L. mutabilis)，开发保护、管理和表征遗传资源的新方法。 INCREASE 正在与智能保藏合作，该保藏由嵌套的核心保藏组成，这些核心保藏由单种子血统纯化的种质组成，利用来自基因库和农场的种质；这些将接受不同程度的基因分型和表型分析，以便通过参与式方法满足包括育种者、科学家、农民、公民科学家以及农业食品和非食品工业在内的各种参与者的需求，包括与价值链、农业生态系统特征和适应气候变化有关的特征。
Food legumes are crucial for all agriculture‐related societal challenges, including climate change mitigation, agrobiodiversity conservation, sustainable agriculture, food security and human health. The transition to plant‐based diets, largely based on food legumes, could present major opportunities for adaptation and mitigation, generating significant co‐benefits for human health. The characterization, maintenance and exploitation of food‐legume genetic resources, to date largely unexploited, form the core development of both sustainable agriculture and a healthy food system. INCREASE will implement, on chickpea (Cicer arietinum), common bean (Phaseolus vulgaris), lentil (Lens culinaris) and lupin (Lupinus albus and L. mutabilis), a new approach to conserve, manage and characterize genetic resources. Intelligent Collections, consisting of nested core collections composed of single‐seed descent‐purified accessions (i.e., inbred lines), will be developed, exploiting germplasm available both from genebanks and on‐farm and subjected to different levels of genotypic and phenotypic characterization. Phenotyping and gene discovery activities will meet, via a participatory approach, the needs of various actors, including breeders, scientists, farmers and agri‐food and non‐food industries, exploiting also the power of massive metabolomics and transcriptomics and of artificial intelligence and smart tools. Moreover, INCREASE will test, with a citizen science experiment, an innovative system of conservation and use of genetic resources based on a decentralized approach for data management and dynamic conservation. By promoting the use of food legumes, improving their quality, adaptation and yield and boosting the competitiveness of the agriculture and food sector, the INCREASE strategy will have a major impact on economy and society and represents a case study of integrative and participatory approaches towards conservation and exploitation of crop genetic resources. INCREASE, focusing on important food legumes, i.e., chickpea (Cicer arietinum), common bean (Phaseolus vulgaris), lentil (Lens culinaris) and lupin (Lupinus albus and L. mutabilis), develops new approaches to conserve, manage and characterize genetic resources. INCREASE is working with Intelligent Collections, consisting of nested core collections composed of single‐seed descent‐purified accessions, exploiting germplasm both from genebanks and on‐farm; these will be subjected to different levels of genotyping and phenotyping in order to meet, via a participatory approach, the needs of various actors, including breeders, scientists, farmers, citizen scientists and agri‐food and non‐food industries, including traits related to the value chain, to agroecosystem characteristics and to adaptation to climate change.
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影响因子：
11.6
作者：
Chen, Dijun;Neumann, Kerstin;Klukas, Christian
通讯作者：
Klukas, Christian
影响因子：
4.1
作者：
Frankin, Sivan;Kunta, Srinivas;Ben-David, Roi
通讯作者：
Ben-David, Roi
影响因子：
7.2
作者：
de Souza, Leonardo Perez;Scossa, Federico;Fernie, Alisdair R.
通讯作者：
Fernie, Alisdair R.
影响因子：
3.8
作者：
Beleggia, Romina;Platani, Cristiano;Papa, Roberto
通讯作者：
Papa, Roberto
DOI：
10.1534/g3.116.029637
发表时间：
2016-07-07
期刊：
G3 (Bethesda, Md.)
影响因子：
--
作者：
Crossa J;Jarquín D;Franco J;Pérez-Rodríguez P;Burgueño J;Saint-Pierre C;Vikram P;Sansaloni C;Petroli C;Akdemir D;Sneller C;Reynolds M;Tattaris M;Payne T;Guzman C;Peña RJ;Wenzl P;Singh S
通讯作者：
Singh S