Leveraging probability concepts for cultivar recommendation in multi-environment trials
Author:
Funder
FAPESP
Publisher
Springer Science and Business Media LLC
Subject
Genetics,Agronomy and Crop Science,General Medicine,Biotechnology
Link
https://link.springer.com/content/pdf/10.1007/s00122-022-04041-y.pdf
Reference69 articles.
1. Annicchiarico P (1992) Cultivar adaptation and recommendation from alfalfa trials in Northern Italy. J Genet Breed 46:269–269
2. Annicchiarico P, Bellah F, Chiari T (2006) Repeatable genotype × location interaction and its exploitation by conventional and GIS-based cultivar recommendation for durum wheat in Algeria. Eur J Agron 24:70–78
3. Buntaran H, Piepho HP, Hagman J, Forkman J (2019) A Cross-validation of statistical models for zoned-based prediction in cultivar testing. Crop Sci 59:1544–1553
4. Buntaran H, Forkman JP, HP (2021) Projecting results of zoned multi-environment trials to new locations using environmental covariates with random coefficient models: accuracy and precision. Theor Appl Genet 134:1531–1530
5. Burgueño J, de los Campos G, Weigel K, Crossa J, (2012) Genomic prediction of breeding values when modeling genotype x environment interaction using pedigree and dense molecular markers. Crop Sci 52:707–719
Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Yield Stability and Adaptability of Spring Barley (Hordeum vulgare) Varieties in Polish Organic Field Trials;Agronomy;2024-08-29
2. Factor analytic selection tools and environmental feature-integration enable holistic decision-making in Eucalyptus breeding;Scientific Reports;2024-08-08
3. Adaptabilidade e estabilidade de variedades de polinização aberta de milho em Santa Maria, estado do Rio Grande do Sul;Caderno Pedagógico;2024-06-06
4. GIS-FA: an approach to integrating thematic maps, factor-analytic, and envirotyping for cultivar targeting;Theoretical and Applied Genetics;2024-03-12
5. Recommendation of Tahiti acid lime cultivars through Bayesian probability models;PLOS ONE;2024-03-05
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3