{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,23]],"date-time":"2026-07-23T23:18:57Z","timestamp":1784848737646,"version":"3.55.0"},"reference-count":30,"publisher":"Oxford University Press (OUP)","issue":"3","license":[{"start":{"date-parts":[[2024,1,18]],"date-time":"2024-01-18T00:00:00Z","timestamp":1705536000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Minas Gerais State Agency for Research and Development"},{"DOI":"10.13039\/501100003593","name":"Brazilian National Council for Scientific and Technological Development","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003593","id-type":"DOI","asserted-by":"publisher"}]},{"name":"LASD and AAFG"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,3,6]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Neglecting genotype-by-environment interactions in multienvironment trials (MET) increases the risk of flawed cultivar recommendations for growers. Recent advancements in probability theory coupled with cutting-edge software offer a more streamlined decision-making process for selecting suitable candidates across diverse environments. Here, we present the user-friendly ProbBreed package in R, which allows breeders to calculate the probability of a given genotype outperforming competitors under a Bayesian framework. This article outlines the package\u2019s basic workflow and highlights its key features, ranging from MET model fitting to estimating the per se and pairwise probabilities of superior performance and stability for selection candidates. Remarkably, only the selection intensity is required to compute these probabilities. By democratizing this complex yet efficient methodology, ProbBreed aims to enhance decision-making and ultimately contribute to more accurate cultivar recommendations in breeding programs.<\/jats:p>","DOI":"10.1093\/g3journal\/jkae013","type":"journal-article","created":{"date-parts":[[2024,1,20]],"date-time":"2024-01-20T06:32:28Z","timestamp":1705732348000},"source":"Crossref","is-referenced-by-count":7,"title":["<tt>ProbBreed<\/tt>: a novel tool for calculating the risk of cultivar recommendation in multienvironment trials"],"prefix":"10.1093","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0694-1798","authenticated-orcid":false,"given":"Saulo F S","family":"Chaves","sequence":"first","affiliation":[{"name":"Department of Agronomy, Federal University of Vi\u00e7osa , Vi\u00e7osa 36570-900 , Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2411-9287","authenticated-orcid":false,"given":"Matheus 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