• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

利用GGT双标图分析评估玉米(L.)杂交种的基因型-性状相互作用。

Assessment of genotype-trait interaction in maize ( L.) hybrids using GGT biplot analysis.

作者信息

Shojaei Seyed Habib, Mostafavi Khodadad, Khosroshahli Mahmoud, Reza Bihamta Mohammad, Ramshini Hossein

机构信息

Department of Agronomy and Plant Breeding Science and Research Branch Islamic Azad University Tehran Iran.

Department of Agronomy and Plant Breeding Karaj Branch Islamic Azad university Karaj Iran.

出版信息

Food Sci Nutr. 2020 Aug 21;8(10):5340-5351. doi: 10.1002/fsn3.1826. eCollection 2020 Oct.

DOI:10.1002/fsn3.1826
PMID:33133537
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7590267/
Abstract

In order to investigate the interaction of genotype × trait and relationships among agronomic traits on 12 maize hybrids, an experiment was conducted in a randomized complete block design (RCBD) with three replicates in four regions of Karaj, Birjand, Shiraz, and Arak. Results of analysis of variance indicated that most of the genotypes were significantly different in terms of agronomic traits. Mean comparison by Duncan's method showed that KSC705 genotype was more favorable than other genotypes in all studied regions. SC604 genotype in Birjand and Karaj regions and KSC707 genotype in Shiraz region have higher rank than other genotypes. Correlation analysis was used to investigate the relationships between traits. In most of the studied regions, traits of number of grains in row and number of rows per ear were positively and significantly correlated with grain width and grain weight with grain yield. Graphical analysis was used to further investigate. Genotypes-trait interaction graph explained 59.27%, 61.22%, 59.17%, and 61.95% of total variance in Karaj, Birjand, Shiraz, and Arak, respectively. Based on the multivariate graph, KSC705, KSC706, and SC647 genotypes were identified as superior genotypes in all studied regions and KSC400 genotype did not show much response to change in traits. Correlation between grain width and number of rows in ear, plant height and grain length, one thousand grain weight and grain thickness, and ear diameter with number of grains in row was positive and significant. The results of classification graph of genotypes also divided the cultivars in to three groups as follows: KSC703, KSC400, and KSC706 genotypes in the first group; DC370, SC604, and SC301 in the second group; and KSC260, KSC704, KSC707, and SC301 in the third group.

摘要

为了研究12个玉米杂交种的基因型×性状相互作用以及农艺性状之间的关系,在卡拉季、比尔詹德、设拉子和阿拉克四个地区进行了一项随机完全区组设计(RCBD)试验,重复三次。方差分析结果表明,大多数基因型在农艺性状方面存在显著差异。采用邓肯法进行均值比较表明,在所有研究地区,KSC705基因型比其他基因型更具优势。比尔詹德和卡拉季地区的SC604基因型以及设拉子地区的KSC707基因型比其他基因型排名更高。采用相关分析研究性状之间的关系。在大多数研究地区,每行粒数和每穗行数性状与粒宽、粒重和籽粒产量呈显著正相关。采用图形分析进行进一步研究。基因型-性状相互作用图分别解释了卡拉季、比尔詹德、设拉子和阿拉克地区总方差的59.27%、61.22%、59.17%和61.95%。基于多变量图,KSC705、KSC706和SC647基因型被确定为所有研究地区的优良基因型,而KSC400基因型对性状变化的响应不大。粒宽与穗行数、株高与粒长、千粒重与粒厚以及穗直径与每行粒数之间的相关性呈显著正相关。基因型分类图的结果也将品种分为三组,如下所示:第一组为KSC703、KSC400和KSC706基因型;第二组为DC370、SC604和SC301;第三组为KSC260、KSC704、KSC707和SC301。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2ec/7590267/23304bbfcf5a/FSN3-8-5340-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2ec/7590267/0ebb211aa840/FSN3-8-5340-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2ec/7590267/e0d6a9f4f318/FSN3-8-5340-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2ec/7590267/23304bbfcf5a/FSN3-8-5340-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2ec/7590267/0ebb211aa840/FSN3-8-5340-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2ec/7590267/e0d6a9f4f318/FSN3-8-5340-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2ec/7590267/23304bbfcf5a/FSN3-8-5340-g003.jpg

相似文献

1
Assessment of genotype-trait interaction in maize ( L.) hybrids using GGT biplot analysis.利用GGT双标图分析评估玉米(L.)杂交种的基因型-性状相互作用。
Food Sci Nutr. 2020 Aug 21;8(10):5340-5351. doi: 10.1002/fsn3.1826. eCollection 2020 Oct.
2
Selection of maize hybrids based on genotype × yield × trait (GYT) in different environments.基于基因型×产量×性状(GYT)在不同环境下选择玉米杂交种。
Braz J Biol. 2023 Jun 1;84:e272093. doi: 10.1590/1519-6984.272093. eCollection 2023.
3
Comparison of Maize Genotypes Using Drought-Tolerance Indices and Graphical Analysis under Normal and Humidity Stress Conditions.在正常和湿度胁迫条件下使用耐旱性指标和图形分析比较玉米基因型
Plants (Basel). 2022 Mar 30;11(7):942. doi: 10.3390/plants11070942.
4
A study on genotype-environment interaction based on GGE biplot graphical method in sunflower genotypes ( L.).基于GGE双标图法对向日葵基因型(L.)进行基因型-环境互作研究。
Food Sci Nutr. 2020 May 6;8(7):3327-3334. doi: 10.1002/fsn3.1610. eCollection 2020 Jul.
5
Yield Stability Analysis of Maize ( L.) Hybrids Using Parametric and AMMI Methods.利用参数法和AMMI法对玉米(L.)杂交种的产量稳定性分析
Scientifica (Cairo). 2021 Mar 25;2021:5576691. doi: 10.1155/2021/5576691. eCollection 2021.
6
Genetic Variation and Genotype by Environment Interaction for Agronomic Traits in Maize ( L.) Hybrids.玉米(L.)杂交种农艺性状的遗传变异及基因型与环境互作
Plants (Basel). 2022 Jun 6;11(11):1522. doi: 10.3390/plants11111522.
7
Genotype by yield* trait (GYT) biplot analysis: A novel approach for phenotyping sunflower single cross hybrids based on multiple traits.基于产量*性状(GYT)双标图分析:一种基于多性状对向日葵单交杂种进行表型分析的新方法。 (注:原文中“yield* trait”这里的星号不太明确其准确含义,可能是有特定指代或错误,按照字面翻译如上)
Food Sci Nutr. 2023 Jun 24;11(10):5928-5937. doi: 10.1002/fsn3.3524. eCollection 2023 Oct.
8
Trait profiling and genotype selection in oilseed rape using genotype by trait and genotype by yield*trait approaches.利用基因型与性状以及基因型与产量-性状方法对油菜进行性状剖析和基因型选择。
Food Sci Nutr. 2023 Feb 28;11(6):3083-3095. doi: 10.1002/fsn3.3290. eCollection 2023 Jun.
9
Genetic variability and trait association in maize ( L.) varieties for growth and yield traits.玉米(L.)品种生长和产量性状的遗传变异性及性状关联
Heliyon. 2021 Sep 4;7(9):e07939. doi: 10.1016/j.heliyon.2021.e07939. eCollection 2021 Sep.
10
Selection of Drought Tolerant Maize Hybrids Using Path Coefficient Analysis and Selection Index.利用通径系数分析和选择指数选育耐旱玉米杂交种
Pak J Biol Sci. 2017;20(3):132-139. doi: 10.3923/pjbs.2017.132.139.

引用本文的文献

1
Identification of High-Yielding and Drought-Tolerant Melon Genotypes Based on Yield-Trait Combinations: A Comparison of Pcor Index and GYT Biplot Approaches.基于产量性状组合鉴定高产耐旱甜瓜基因型:Pcor指数与GYT双标图方法的比较
Food Sci Nutr. 2025 Feb 28;13(3):e70048. doi: 10.1002/fsn3.70048. eCollection 2025 Mar.
2
Genotype by yield* trait (GYT) biplot analysis: A novel approach for phenotyping sunflower single cross hybrids based on multiple traits.基于产量*性状(GYT)双标图分析:一种基于多性状对向日葵单交杂种进行表型分析的新方法。 (注:原文中“yield* trait”这里的星号不太明确其准确含义,可能是有特定指代或错误,按照字面翻译如上)
Food Sci Nutr. 2023 Jun 24;11(10):5928-5937. doi: 10.1002/fsn3.3524. eCollection 2023 Oct.
3

本文引用的文献

1
Influence of vermicompost and sheep manure on mechanical properties of tomato fruit.蚯蚓堆肥和羊粪对番茄果实机械性能的影响。
Food Sci Nutr. 2019 Feb 27;7(4):1172-1178. doi: 10.1002/fsn3.877. eCollection 2019 Apr.
2
Biplot Analysis of Test Sites and Trait Relations of Soybean in Ontario.安大略省大豆试验点与性状关系的双标图分析
Crop Sci. 2002 Jan;42(1):11-20. doi: 10.2135/cropsci2002.1100.
Phenotyping new rapeseed lines based on multiple traits: Application of GT and GYT biplot analyses.
基于多性状对新油菜品系进行表型分析:基因型与产量稳定性双标图分析的应用
Food Sci Nutr. 2022 Nov 2;11(2):853-862. doi: 10.1002/fsn3.3119. eCollection 2023 Feb.
4
Genetic characterization and quantitative trait relationship using multivariate techniques reveal diversity among tomato germplasms.利用多变量技术进行遗传特征分析和数量性状关系研究,揭示了番茄种质资源的多样性。
Food Sci Nutr. 2022 Apr 18;10(7):2426-2442. doi: 10.1002/fsn3.2850. eCollection 2022 Jul.