• 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

墨西哥可可基因型的基因型-环境相互作用。

Genotype-environment interaction of genotypes of cocoa in Mexico.

作者信息

Avendaño-Arrazate Carlos Hugo, Martínez-Bolaños Misael, Reyes-Reyes Ana Laura, Aragón-Magadán Marco Aurelio, Reyes-López Delfino, López-Morales Fernando

机构信息

Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias, Centro Nacional de Recursos Genéticos, Av. de la Biodiversidad 400, Col. Las Cruces, Tepatitlán, Jalisco, Mexico.

Campo Experimental Rosario Izapa, Km. 18 Carretera Tapachula-Cacahotán, C.P. 30870, Tuxtla Chico, Chiapas, Mexico.

出版信息

Sci Rep. 2025 May 2;15(1):15399. doi: 10.1038/s41598-025-00162-8.

DOI:10.1038/s41598-025-00162-8
PMID:40316591
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12048569/
Abstract

Cacao (Theobroma cacao L.) production is significantly influenced by genotype-environment interactions, which affect key agronomic traits such as yield, fruit quality, and disease resistance. Despite advances in cacao breeding, one of the main challenges remains the identification of stable, high-performing clones that can adapt to different environmental conditions while maintaining desirable agronomic characteristics. In particular, the introduction of improved clones with high productivity and tolerance to diseases such as frosty pod rot is essential to ensure sustainable production. However, limited information exists on the environmental influence on these traits, making it crucial to assess the performance of new cacao clones in diverse agroecological conditions before their large-scale adoption. With the objective of evaluating the genotype-environment interaction of cacao clones generated by INIFAP and introduced for their tolerance to diseases (frosty pod rot), high yield, and quality, 23 cacao clones were established in three environments: (1) Campo Experimental Rosario Izapa-Tuxtla chico, Chiapas; (2) Ejido Umoa, Tapachula, Chiapas y (3) Vicente Guerreo, Teapa, Tabasco. The cacao clones were established in a Randomized Block Experimental Design with three replications and five trees per block. Statistical analysis was conducted in R 4.4.1 using the statgenGxE package and hierarchical clustering. The variance analysis showed highly significant differences among the genotypes for all the evaluated variables, indicating considerable genetic variability in terms of fruit length (FL), fruit weight (FW), total number of seeds (TNS), individual seed dry weight (ISDW), and pod index (PI). Environment 1, located in Rosario Izapa, Chiapas, stood out as the best for the variables FL, TNS, and ISDW. On the other hand, environment 3, situated in Vicente Guerrero, Teapa, Tabasco, proved to be the most suitable for FW and PI. In contrast, environment 2, located in Ejido Umoa, Tapachula, Chiapas, ranked as the worst for most of the variables, particularly for FL, FW, and TNS. The sensitivity analysis of the cacao genotypes depended on the type of variable; for the fruit variables, genotype 5 stood out for FL, genotype 18 for FW, genotype 4 for TNS, genotype 9 for ISDW, and genotype 15 for PI. In general, the best genotype for fruit variables was genotype 25 (F19P3). Finally, it was observed that among the 23 promising cacao genotypes, most exhibited interaction with the environment, suggesting that it is very important to consider the environmental conditions where the varieties will be established. The findings of this study provide valuable insights into the influence of environmental conditions on cacao productivity and quality, highlighting the need for site-specific clone selection. The identification of high-yielding and stable genotypes can facilitate more efficient breeding strategies and better decision-making for cacao producers and researchers. By understanding how different environments impact agronomic traits, this research contributes to the sustainable intensification of cacao cultivation, helping to optimize yields while mitigating the risks associated with environmental variability. These results are particularly relevant for breeding programs aimed at developing resilient cacao varieties suited to diverse agroecological regions.

摘要

可可(Theobroma cacao L.)的产量受到基因型与环境相互作用的显著影响,这种相互作用会影响产量、果实品质和抗病性等关键农艺性状。尽管可可育种取得了进展,但主要挑战之一仍然是识别出能够适应不同环境条件并保持理想农艺特性的稳定、高产克隆品种。特别是,引入具有高生产力和对霜霉病等疾病有耐受性的改良克隆品种对于确保可持续生产至关重要。然而,关于环境对这些性状影响的信息有限,这使得在大规模采用新的可可克隆品种之前,评估其在不同农业生态条件下的表现至关重要。为了评估由墨西哥农业和林业研究所(INIFAP)培育并因其对疾病(霜霉病)的耐受性、高产和品质而引入的可可克隆品种的基因型 - 环境相互作用,在三个环境中种植了23个可可克隆品种:(1)恰帕斯州图斯特拉奇科的罗萨里奥伊萨帕实验田;(2)恰帕斯州塔帕丘拉的乌莫阿村;(3)塔巴斯科州特阿帕的比森特格雷罗。可可克隆品种采用随机区组实验设计,重复三次,每个区组有五棵树。使用R 4.4.1软件中的statgenGxE包和层次聚类进行统计分析。方差分析表明,所有评估变量在基因型之间存在极显著差异,表明在果实长度(FL)、果实重量(FW)、种子总数(TNS)、单个种子干重(ISDW)和荚果指数(PI)方面存在相当大的遗传变异性。位于恰帕斯州罗萨里奥伊萨帕的环境1在FL、TNS和ISDW变量方面表现最佳。另一方面,位于塔巴斯科州特阿帕的比森特格雷罗的环境3被证明最适合FW和PI。相比之下,位于恰帕斯州塔帕丘拉的乌莫阿村的环境2在大多数变量方面排名最差,特别是在FL、FW和TNS方面。可可基因型的敏感性分析取决于变量类型;对于果实变量,FL方面基因型5表现突出,FW方面基因型18表现突出,TNS方面基因型4表现突出,ISDW方面基因型9表现突出,PI方面基因型15表现突出。总体而言,果实变量的最佳基因型是基因型25(F19P3)。最后,观察到在23个有前景的可可基因型中,大多数与环境存在相互作用,这表明考虑品种种植的环境条件非常重要。本研究的结果为环境条件对可可生产力和品质的影响提供了有价值的见解,强调了特定地点克隆品种选择的必要性。高产和稳定基因型的识别可以促进更有效的育种策略,并为可可生产者和研究人员提供更好的决策依据。通过了解不同环境如何影响农艺性状,本研究有助于可可种植的可持续集约化,有助于在降低与环境变异性相关风险的同时优化产量。这些结果对于旨在培育适应不同农业生态区域的抗逆可可品种的育种计划尤为重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b2b/12048569/0d6618ca873b/41598_2025_162_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b2b/12048569/1c3c717f672d/41598_2025_162_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b2b/12048569/0d6618ca873b/41598_2025_162_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b2b/12048569/1c3c717f672d/41598_2025_162_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b2b/12048569/0d6618ca873b/41598_2025_162_Fig2_HTML.jpg