Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1017/S0021859615000106 |
Assessing genotype-by-environment interactions and trait associations in forage sorghum using GGE biplot analysis | |
Aruna, C.1; Rakshit, S.1; Shrotria, P. K.2; Pahuja, S. K.3; Jain, S. K.4; Kumar, S. Siva5; Modi, N. D.6; Deshmukh, D. T.7; Kapoor, R.8; Patil, J. V.1 | |
通讯作者 | Aruna, C. |
来源期刊 | JOURNAL OF AGRICULTURAL SCIENCE
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ISSN | 0021-8596 |
EISSN | 1469-5146 |
出版年 | 2016 |
卷号 | 154期号:1页码:73-86 |
英文摘要 | Forage sorghum is an important component of the fodder supply chain in the arid and semi-arid regions of the world because of its high productivity, ability to utilize water efficiently and adaptability to a wide range of climatic conditions. Identification of high-yielding stable genotypes (G) across environments (E) is challenging because of the complex G x E interactions (GEI). In the present study, the performance of 16 forage sorghum genotypes over seven locations across the rainy seasons of 2010 and 2011 was investigated using GGE biplot analysis. Analysis of variance revealed the existence of significant GEI for fodder yield and all eight associated phenotypic traits. Location accounted for a higher proportion of the variation (0.72-0.91), while genotype contributed only 0.060.21 of total variation in different traits. Genotype-by-location interactions contributed 0.02-0.13 of total variation. Promising genotypes for fodder yield and each of the associated traits could be identified effectively using a graphical biplot approach. The majority of test locations were highly correlated. A ’Which-won-where’ study partitioned the test locations into two mega-environments (MEs): ME1 was represented by five locations with COFS 29 as the best genotype, while ME2 had two locations with S 541 as the best genotype. The existence of two MEs suggested a need for location-specific breeding. Genotype-by-trait biplots indicated that improvement for forage yield could be achieved through indirect selection for plant height, leaf number and early vigour. |
类型 | Article |
语种 | 英语 |
国家 | India |
收录类别 | SCI-E |
WOS记录号 | WOS:000367194200007 |
WOS关键词 | STATISTICAL-ANALYSIS ; GRAPHIC ANALYSIS ; YIELD STABILITY ; TRIAL DATA ; AMMI ; IMPROVEMENT ; HYBRIDS ; WHEAT |
WOS类目 | Agriculture, Multidisciplinary |
WOS研究方向 | Agriculture |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/193952 |
作者单位 | 1.Directorate Sorghum Res, Hyderabad, Andhra Pradesh, India; 2.GB Pant Univ Agr & Technol, Pantnagar, Uttar Pradesh, India; 3.CCS Haryana Agr Univ, Hisar, Haryana, India; 4.Sardarkrushinagar Dantiwada Agr Univ, Deesa, India; 5.Tamil Nadu Agr Univ, Coimbatore 641003, Tamil Nadu, India; 6.Navsari Agr Univ, Surat, India; 7.PDKV, Akola, India; 8.Punjab Agr Univ, Ludhiana 141004, Punjab, India |
推荐引用方式 GB/T 7714 | Aruna, C.,Rakshit, S.,Shrotria, P. K.,et al. Assessing genotype-by-environment interactions and trait associations in forage sorghum using GGE biplot analysis[J],2016,154(1):73-86. |
APA | Aruna, C..,Rakshit, S..,Shrotria, P. K..,Pahuja, S. K..,Jain, S. K..,...&Patil, J. V..(2016).Assessing genotype-by-environment interactions and trait associations in forage sorghum using GGE biplot analysis.JOURNAL OF AGRICULTURAL SCIENCE,154(1),73-86. |
MLA | Aruna, C.,et al."Assessing genotype-by-environment interactions and trait associations in forage sorghum using GGE biplot analysis".JOURNAL OF AGRICULTURAL SCIENCE 154.1(2016):73-86. |
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