首页|基于GGE模型的甘薯品系产量性状和试验环境评价

基于GGE模型的甘薯品系产量性状和试验环境评价

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为了综合评价甘薯区域试验品系基因型及基因型与环境互作关系,采用GGE双标图法对2020-2021年福建省甘薯区试2组优质淀粉新品系产量数据进行分析。结果表明:2020年'泉薯26'丰产性最好,在漳浦、福州、泉州、莆田、三明和南平具有较强区域适应性,'龙薯39号'丰产性和稳产性较好,是试验理想品系;2021年'金薯43'丰产和稳产性最好,是试验理想品系,'红金薯2号'具有较好丰产性,在宁德、龙岩、三明和福州具有较强区域适应性。此外,三明试验点在2年试验中具有较高鉴别力和代表性,是理想的试验点。GGE双标图法能够直观评价参试品系的产量特征和试验点的代表性,为客观评价甘薯新品系的高产性和稳产性提供简便、有效的分析手段。
Yield Traits and Experimental Environment Evaluation of Sweet Potato Strains Based on GGE Model
In order to comprehensively evaluate the genotype and the interaction of genotype and environment of sweet potato in regional test,the GGE biplot was used to analyze the fresh yield of group 2 of high-quality starch strains in regional test of sweet potato in Fujian from 2020 to 2021.The results showed that:'Quanshu 26'had the best yield performance and had strong adaptability in Zhangpu,Fuzhou,Quanzhou,Putian,Sanming,and Nanping in 2020.'Longshu 39'had high and stable yield,which was the ideal variety of the regional test.In 2021,'Jinshu 43'had the best yield and stability,making it an ideal variety of the regional test.'Hongjinshu 2'had high yield and strong regional adaptability in Ningde,Longyan,Sanming,and Fuzhou.In addition,the Sanming pilot had high discrimination and representativeness in the two-year regional test,and it was an ideal pilot environments.The GGE biplot can intuitively evaluate the yield characteristics of the test strains and the representativeness of the pilots,providing a simple and effective analytical method for objectively evaluating the high and stable yield of sweet potato strains.

sweet potatoGGE biplothigh yieldstable yieldadaptabilitypilot discrimination

王腾蛟、邱永祥、崔伏喜、牛豆豆、刘聚波、李俊玲、赵伟宁、杨立明、蔺桂芬

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邯郸市农业科学院/河北省杂种优势研究与利用重点实验室,河北邯郸 056001

福建省农业科学院作物研究所,福州 350000

邯郸市禾下土种业有限公司/河北省鲜食甘薯产业技术研究院,河北磁县 056500

甘薯 GGE双标图 丰产性 稳产性 适应性 试点鉴别力

河北省育种创新团队建设项目(十四五)河北省现代农业产业技术体系建设项目薯类创新团队项目

21326320DHBCT2024090405

2024

农学学报
中国农学会

农学学报

CSTPCD
影响因子:0.645
ISSN:1007-7774
年,卷(期):2024.14(4)
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