[1]戴习彬,王远,周志林,等.菜用甘薯产量稳定性及试验点鉴别力综合分析[J].江苏农业学报,2023,(01):22-29.[doi:doi:10.3969/j.issn.1000-4440.2023.01.003]
 DAI Xi-bin,WANG Yuan,ZHOU Zhi-lin,et al.Comprehensive analysis of yield stability and testing sites discrimination of leaf-vegetable sweetpotato varieties[J].,2023,(01):22-29.[doi:doi:10.3969/j.issn.1000-4440.2023.01.003]
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菜用甘薯产量稳定性及试验点鉴别力综合分析()
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江苏农业学报[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2023年01期
页码:
22-29
栏目:
遗传育种·生理生化
出版日期:
2023-02-28

文章信息/Info

Title:
Comprehensive analysis of yield stability and testing sites discrimination of leaf-vegetable sweetpotato varieties
作者:
戴习彬1王远2周志林1肖世卓1赵凌霄1王洁1王珧1李青莲1朱国鹏2曹清河12
(1.江苏徐淮地区徐州农业科学研究所,江苏徐州221131;2.海南大学园艺学院,海南海口570228)
Author(s):
DAI Xi-bin1WANG Yuan2ZHOU Zhi-lin1XIAO Shi-zhuo1ZHAO Ling-xiao1WANG Jie1WANG Yao1LI Qing-lian1ZHU Guo-peng2CAO Qing-he12
(1.Xuzhou Institute of Agricultural Sciences in Xuhuai District, Xuzhou 221131, China;2.Horticulture College of Hainan University, Haikou 570228, China)
关键词:
菜用甘薯稳定性鉴别力AMMI模型GGE双标图
Keywords:
leaf-vegetable sweetpotatostabilitydiscriminationAMMI modelGGE biplot
分类号:
S531
DOI:
doi:10.3969/j.issn.1000-4440.2023.01.003
文献标志码:
A
摘要:
为了科学评价国家菜用甘薯联合鉴定试验中参试甘薯品种(品系)的丰产性、适应性、稳定性及试验点的鉴别力、代表性,采用AMMI模型和GGE双标图对2018-2019年国家菜用甘薯联合鉴定试验中10个甘薯品种(品系)在2年9个试验点的产量数据进行分析,筛选适合大面积推广的丰产、稳产甘薯品种(品系)及鉴别力、代表性较好的试验点。结果表明,菜用甘薯茎尖产量在基因型效应、环境效应及基因型与环境互作效应方面均极显著,其中环境效应占比最大,其次是基因型与环境互作效应,基因型效应占比最小。湘菜薯3号的丰产性、稳定性均较高,最接近理想品种(品系),适合大面积推广种植;黔菜薯2号、薯绿2号、EC15、海大7798、福菜薯25的丰产性较好,但稳定性一般,适合在特定区域推广,湖南长沙地区最适的甘薯品种(品系)为薯绿2号,其次是海大7798、福菜薯25;湖北武汉、重庆、海南琼海、福建福州和广东广州地区的最适甘薯品种(品系)为黔菜薯2号,其次为EC15。海南琼海、福建福州是菜用甘薯茎尖产量鉴别力、代表性均较强的试验点,更适合作为菜用甘薯的鉴定试验点。研究首次在菜用甘薯产量分析中同时使用AMMI和GGE 2种分析模型,展示了2种方法的应用效果,明确了适合大面积推广和在特定区域种植的甘薯品种(品系),确定了最佳鉴定试验点,为菜用甘薯新品种(品系)的合理推广和进行科学区域试验提供了理论参考。
Abstract:
To evaluate scientifically the yield, adaptability, stability and testing sites discrimination and representativeness of varieties (lines) in leaf-vegetable sweetpotato joint identification trials in China, the AMMI model and GGE biplot were used to analyze the yield data of ten varieties (lines) in nine testing sites during 2018-2019. The productive and stable varieties suitable for large scale promotion as well as the testing sites with good discrimination and representativeness were screened. The results showed that the yield of leaf-vegetable sweetpotato reached highly significant in genotype effect, environment effect and interaction effect. Environment effect accounted for the largest proportion, followed by interaction effect, and genotype effect was the smallest. Xiangcaishu No.3 had higher productivity and stability, and it was the closest to the ideal variety, which was suitable for large area promotion. Qiancaishu No.2, Shulü No.2, EC15, Haida 7798 and Fucaishu 25 had better productivity, but had mediocre stability, so they were suitable for promotion in specific areas. The most suitable variety (lines) in Changsha, Hunan province was Shulü No.2, followed by Haida 7798 and Fucaishu 25. For Wuhan of Hubei, Chongqing, Qionghai of Hainan, Fuzhou of Fujian and Guangzhou of Guangdong, the most suitable variety (lines) was Qiancaishu No.2, followed by EC15. Qionghai of Hainan and Fuzhou of Fujian were the more discriminating and representative testing sites and more suitable as identification test sites for vegetable sweetpotato. In this study, AMMI and GGE analytical models were used simultaneously in vegetable sweetpotato yield analysis for the first time, and the application effects were demonstrated. And the varieties(lines) suitable for large-scale promotion and planting in specific areas were identified, and the best identification test points were determined, which provided a theoretical reference for the rational promotion of new leaf-vegetable sweetpotato varieties and scientific regional test.

参考文献/References:

[1]王欣,李强,曹清河,等.中国甘薯产业和种业发展现状与未来展望[J]. 中国农业科学,2021,54(3):483-492.
[2]苏一钧,董玲霞,王娇,等.菜用和观赏甘薯种质资源遗传多样性分析[J]. 植物遗传资源学报, 2018, 19(1):57-64.
[3]邱俊凯,隋伟策,木泰华,等.58个不同品种甘薯茎叶营养与功能成分的研究[J]. 核农学报,2021,35(4):911-922.
[4]GAUCH H G JR,PIEPHO H P, ANNICCHIARICO P. Statistical analysis of yield trials by AMMI and GGE[J]. Crop Science,2006, 46(4):1488-1500.
[5]YAN W K,HUNT L A,SHENG Q L, et al. Cultivar evaluation and mega-environment investigation based on the GGE Biplot[J]. Crop Science,2000,40(3):597-605.
[6]罗俊,许莉萍,邱军,等.基于HA-GGE双标图的甘蔗试验环境评价及品种生态区划分[J]. 作物学报,2015,41(2):214-227.
[7]岳海旺,李春杰,李媛,等.河北省春播玉米品种产量稳定性及试点辨别力综合分析[J]. 核农学报,2018,32(7):1267-1280.
[8]SINGAMSETTI A, SHAHI J P, ZAIDI P H, et al. Genotype × environment interaction and selection of maize (Zea mays L.) hybrids across moisture regimes[J]. Field Crops Research, 2021, 270:108224.
[9]岳海旺,魏建伟,谢俊良,等.基因型和环境互作对黄淮海夏玉米品种籽粒产量的影响[J]. 中国农业大学学报,2022,27(4):31-43.
[10]常莹莹,王永华,王永霞,等.黄淮砂姜黑土区强筯小麦品质现状及基因型与环境效应[J]. 麦类作物学报,2018,38(1):105-112.
[11]杨进文,朱俊刚,王曙光,等.用GGE双标图及隶属函数综合分析山西小麦地方品种抗旱性[J]. 应用生态学报,2013,24(4):1031-1038.
[12]王磊,程本义,鄂志国,等.基于GGE双标图的水稻区试品种丰产性、稳产性和适应性评价[J]. 中国水稻科学,2015,29(4):408-416.
[13]董维,邓伟,吕莹,等.利用AMMI模型分析云南省杂交籼稻区试优质品种产量基因型与环境互作[J]. 杂交水稻,2022,37(2):19-26.
[14]蒋彤晖,叶夕苗,余斌,等.甘肃省马铃薯区试品种产量性状和环境鉴别力评价分析[J]. 核农学报,2022,36(6):1262-1272.
[15]叶夕苗,程鑫,安聪聪,等.马铃薯产量组分的基因型与环境互作及稳定性[J]. 作物学报,2020,46(3):354-364.
[16]张志芬,任长忠,杨海顺,等.基于SD-GGE双标图进行饲草燕麦品种归类和区域划分[J]. 中国农业大学学报,2021,26(5):10-21.
[17]陈彩锦,张尚沛,师尚礼,等.基于GGE双标图对苜蓿品种丰产性和稳定性综合评价[J]. 草地学报,2021,29(5):912-918.
[18]张雪婷,杨文雄,柳娜,等.甘肃西部抗旱型玉米品种的综合评价及筛选[J]. 核农学报,2018,32(7):1281-1290.
[19]许乃银,李健. 棉花区试中品种多性状选择的理想试验环境鉴别[J]. 作物学报,2014,40(11):1936-1945.
[20]许乃银,金石桥,李健. 利用GGE双标图划分我国棉花纤维品质生态区[J]. 应用生态学报,2017,28(1):191-198.
[21]柳赛花,纪雄辉,谢运河,等. 基于GGE双标图和BLUP分析筛选镉砷同步低累积水稻品种[J]. 生态环境学报,2021,30(2):405-411.
[22]何霭如,李观康,陈胜勇,等. 用AMMI模型分析甘薯品种产量性状的稳定性[J].安徽农业大学学报,2014,41(3):430-434.
[23]贾赵东,谢一芝,尹晴红,等. 甘薯品种产量性状的稳定性和适应性分析[J].扬州大学学报(农业与生命科学版),2008,29(2):77-81.
[24]ANDRADE M I, NAICO A, RICARDO J, et al. Genotype × environment interaction and selection for drought adaptation in sweetpotato [Ipomoea batatas (L.) Lam.] in Mozambique[J]. Euphytica, 2016, 209(1): 261-280.
[25]KARUNIAWAN A, MAULANA H, USTARI D, et al. Yield stability analysis of orange fleshed sweetpotato in Indonesia using AMMI and GGE biplot[J]. Heliyon, 2021,7(4): e06881.
[26]NGAILO S, SHIMELIS H, SIBIYA J, et al. Genotype-by-environment interaction of newly-developed sweet potato genotypes for storage root yield, yield-related traits and resistance to sweet potato virus disease[J]. Heliyon, 2019, 5(3): e01448.
[27]唐启义. DPS数据处理系统: 实验设计、统计分析及数据挖掘[M]. 2版. 北京: 科学出版社, 2010.
[28]魏常敏,陈国立,许卫猛,等. 糯玉米新品种鲜穗、鲜籽粒产量稳定性和试点鉴别力分析[J/OL].分子植物育种:1-15
[2022-06-01].http://kns.cnki.net/kcms/detail/46.1068.S.20210628.1014.004.html.
[29]许乃银,荣义华,李健,等. GGE双标图在陆地棉高产稳产和适应性分析中的应用——以长江流域棉区国审棉花新品种鄂杂棉30为例[J]. 中国生态农业学报,2017,25(6):884-892.
[30]步清,鲁月,郝德荣,等. AMMI模型和GGE双标图在江苏省糯玉米品种区域试验中的应用[J/OL].分子植物育种:1-12
[2022-06-01].http://kns.cnki.net/kcms/detail/46.1068.S.20210831.1345.009.html.
[31]宋慧,刘金荣,王素英,等. GGE双标图评价谷子豫谷18的丰产稳产性和适应性[J]. 中国农业大学学报,2020,25(1):29-38.
[32]许乃银,张国伟,李健,等. 基于 GGE 双标图和比强度选择的棉花品种生态区划分[J]. 中国生态农业学报, 2012, 20(11): 1500-1507.
[33]YAN W K, HUNT L A. Interpretation of genotype × environment interaction for winter wheat yield in Ontario[J]. Crop Science, 2001, 41(1): 19-25.
[34]严威凯. 品种选育和评价的原理和方法评述[J].作物学报,2022,48(9):2137-2154.
[35]王晓斌,王瀚,胡开明,等. 基于层次分析法和GGE双标图对引进马铃薯种质资源的综合评价[J]. 植物遗传资源学报,2017,18(6):1067-1078.

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备注/Memo

备注/Memo:
收稿日期:2022-06-08基金项目:国家产业技术体系项目(CARS-10-B07-2022);苏北科技专项(XZ-SZ202154);徐州市基础研究计划项目(KC21072);海南省重点研发项目(ZDYF2020226);江苏省根茎类作物种质资源库项目(JSGB2018-03)作者简介:戴习彬(1989-),男,安徽六安人,硕士,助理研究员,主要从事甘薯种质资源鉴定、评价等方面的研究。(E-mail)799341277@qq.com通讯作者:曹清河,(E-mail)cqhe75@yahoo.com
更新日期/Last Update: 2023-03-21