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鉴定印度大环境和水稻基因型对盐和碱胁迫的普遍和特殊适应性。

Identification of mega-environments and rice genotypes for general and specific adaptation to saline and alkaline stresses in India.

机构信息

Central Soil Salinity Research Institute, Karnal, India.

Central Soil Salinity Research Institute, Regional Research Station, Lucknow, India.

出版信息

Sci Rep. 2017 Aug 11;7(1):7968. doi: 10.1038/s41598-017-08532-7.

DOI:10.1038/s41598-017-08532-7
PMID:28801586
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5554213/
Abstract

In the present study, a total of 53 promising salt-tolerant genotypes were tested across 18 salt-affected diverse locations for three years. An attempt was made to identify ideal test locations and mega-environments using GGE biplot analysis. The CSSRI sodic environment was the most discriminating location in individual years as well as over the years and could be used to screen out unstable and salt-sensitive genotypes. Genotypes CSR36, CSR-2K-219, and CSR-2K-262 were found ideal across years. Overall, Genotypes CSR-2K-219, CSR-2K-262, and CSR-2K-242 were found superior and stable among all genotypes with higher mean yields. Different sets of genotypes emerged as winners in saline soils but not in sodic soils; however, Genotype CSR-2K-262 was the only genotype that was best under both saline and alkaline environments over the years. The lack of repeatable associations among locations and repeatable mega-environment groupings indicated the complexity of soil salinity. Hence, a multi-location and multi-year evaluation is indispensable for evaluating the test sites as well as identifying genotypes with consistently specific and wider adaptation to particular agro-climatic zones. The genotypes identified in the present study could be used for commercial cultivation across edaphically challenged areas for sustainable production.

摘要

在本研究中,在三年时间里,在 18 个受盐影响的不同地点共测试了 53 种有前途的耐盐基因型。本文试图利用 GGE 双标图分析来确定理想的测试地点和大环境。CSSRI 的盐碱环境是各个年份以及多年来最具鉴别力的地点,可以用来筛选出不稳定和盐敏感的基因型。基因型 CSR36、CSR-2K-219 和 CSR-2K-262 在多年间表现理想。总体而言,基因型 CSR-2K-219、CSR-2K-262 和 CSR-2K-242 在所有基因型中表现出较高的平均产量,具有较高的产量和稳定性。不同的基因型组合在盐土中表现出色,但在碱土中表现不佳;然而,基因型 CSR-2K-262 是多年来在盐碱环境下表现最好的唯一基因型。各地点之间以及可重复的大环境分组之间缺乏可重复的关联表明了土壤盐分的复杂性。因此,对测试地点进行多地点和多年评估,以及确定具有特定和更广泛适应特定农业气候带的基因型是必不可少的。本研究中鉴定的基因型可用于在具有挑战性的土壤地区进行商业种植,以实现可持续生产。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09e7/5554213/f57260533b37/41598_2017_8532_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09e7/5554213/e8b39f316e3b/41598_2017_8532_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09e7/5554213/711b1e9d270c/41598_2017_8532_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09e7/5554213/8803be7f5f3c/41598_2017_8532_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09e7/5554213/93999ba3fef5/41598_2017_8532_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09e7/5554213/f57260533b37/41598_2017_8532_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09e7/5554213/e8b39f316e3b/41598_2017_8532_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09e7/5554213/711b1e9d270c/41598_2017_8532_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09e7/5554213/8803be7f5f3c/41598_2017_8532_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09e7/5554213/93999ba3fef5/41598_2017_8532_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09e7/5554213/f57260533b37/41598_2017_8532_Fig5_HTML.jpg

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本文引用的文献

1
Biplot Analysis of Host-by-Pathogen Data.宿主-病原体数据的双标图分析。
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2
Mapping QTLs for Salt Tolerance in Rice (Oryza sativa L.) by Bulked Segregant Analysis of Recombinant Inbred Lines Using 50K SNP Chip.利用50K SNP芯片对重组自交系进行混合分组分析法定位水稻耐盐性QTL
PLoS One. 2016 Apr 14;11(4):e0153610. doi: 10.1371/journal.pone.0153610. eCollection 2016.
3
Biplot evaluation of test environments and identification of mega-environment for sugarcane cultivars in China.
利用NGS辅助的BSA策略在水稻中鉴定耐碱候选基因
Mol Breed. 2021 Jul 16;41(7):44. doi: 10.1007/s11032-021-01228-x. eCollection 2021 Jul.
4
Stability and suitability of genotypes and environment to Ascochyta blight of chickpea.鹰嘴豆基因型和环境对褐斑病的稳定性及适应性
Front Plant Sci. 2023 Mar 28;14:1006099. doi: 10.3389/fpls.2023.1006099. eCollection 2023.
5
Crop model determined mega-environments for cassava yield trials on paddy fields following rice.作物模型确定了水稻后稻田木薯产量试验的大环境。
Heliyon. 2023 Feb 28;9(3):e14201. doi: 10.1016/j.heliyon.2023.e14201. eCollection 2023 Mar.
6
Analysis of genotype × environment interactions for agronomic traits of soybean ( [L.] Merr.) using association mapping.利用关联分析对大豆([L.] Merr.)农艺性状的基因型×环境互作进行分析。
Front Genet. 2023 Jan 5;13:1090994. doi: 10.3389/fgene.2022.1090994. eCollection 2022.
7
Detection of Superior Rice Genotypes and Yield Stability under Different Nitrogen Levels Using AMMI Model and Stability Statistics.利用AMMI模型和稳定性统计方法检测不同氮素水平下优质水稻基因型及产量稳定性
Plants (Basel). 2022 Oct 19;11(20):2775. doi: 10.3390/plants11202775.
8
Ascertaining yield and grain protein content stability in wheat genotypes having the gene using univariate, multivariate, and correlation analysis.使用单变量、多变量和相关性分析确定具有该基因的小麦基因型的产量和籽粒蛋白质含量稳定性。
Front Genet. 2022 Sep 7;13:1001904. doi: 10.3389/fgene.2022.1001904. eCollection 2022.
9
Genome wide association study of MAGIC population reveals a novel QTL for salinity and sodicity tolerance in rice.对多亲本高级世代互交群体(MAGIC群体)进行全基因组关联研究,揭示了水稻耐盐碱性的一个新数量性状位点。
Physiol Mol Biol Plants. 2022 Apr;28(4):819-835. doi: 10.1007/s12298-022-01174-8. Epub 2022 Apr 21.
10
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Plants (Basel). 2022 Apr 24;11(9):1150. doi: 10.3390/plants11091150.
中国甘蔗品种试验环境的双标图评价及巨环境鉴定
Sci Rep. 2015 Oct 22;5:15505. doi: 10.1038/srep15505.
4
Genome-wide association mapping of salinity tolerance in rice (Oryza sativa).水稻(Oryza sativa)耐盐性的全基因组关联图谱分析
DNA Res. 2015 Apr;22(2):133-45. doi: 10.1093/dnares/dsu046. Epub 2015 Jan 27.
5
High vapor pressure deficit drives salt-stress-induced rice yield losses in India.高蒸气压亏缺导致印度盐胁迫引起的水稻产量损失。
Glob Chang Biol. 2015 Apr;21(4):1668-78. doi: 10.1111/gcb.12803. Epub 2015 Jan 8.
6
Screening of rice (Oryza sativa L.) genotypes for physiological characters contributing to salinity resistance, and their relationship to overall performance.筛选具有耐盐生理特性的水稻(Oryza sativa L.)基因型及其与整体表现的关系。
Theor Appl Genet. 1990 May;79(3):377-84. doi: 10.1007/BF01186082.
7
Relationships among analytical methods used to study genotypic variation and genotype-by-environment interaction in plant breeding multi-environment experiments.用于研究植物育种多环境试验中基因型变异和基因型-环境互作的分析方法之间的关系。
Theor Appl Genet. 1994 Jul;88(5):561-72. doi: 10.1007/BF01240919.
8
The Texas cytoplasm of maize: cytoplasmic male sterility and disease susceptibility.玉米的得克萨斯细胞质:细胞质雄性不育性和易感性。
Science. 1990 Nov 16;250(4983):942-7. doi: 10.1126/science.250.4983.942.
9
Biplot Analysis of Diallel Data.双列数据的双标图分析
Crop Sci. 2002 Jan;42(1):21-30. doi: 10.2135/cropsci2002.0021.
10
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.