Multi-trait multi environment analysis for stability in MABC lines of Chickpea (Cicer arietinum)

被引:3
作者
Jorben, J. [1 ]
Rao, Apoorva [1 ]
Bharadwaj, C. [1 ]
Nitesh, S. D. [1 ,2 ]
Tiwari, Neha [1 ,3 ]
Kumar, Tapan [1 ,3 ]
Saxena, D. R. [1 ,4 ]
Yasin, M. [1 ,4 ]
Sontakke, P. L. [1 ,5 ]
Jahagirdar, Jagdish E. [1 ,5 ]
Hegde, V. S. [1 ]
机构
[1] ICAR Indian Agr Res Inst, New Delhi 110012, India
[2] Chandra Shekhar Azad Univ Agr & Technol, Kanpur, Uttar Pradesh, India
[3] ICARDA Food Legume Res Platform, Sehore, Madhya Pradesh, India
[4] Rajmata Vijayaraje Scindia Krishi Vishwa Vidyalay, RAK Coll Agr, Sehore, Madhya Pradesh, India
[5] Agr Res Stn, Badnapur, Maharashtra, India
来源
INDIAN JOURNAL OF AGRICULTURAL SCIENCES | 2022年 / 92卷 / 08期
关键词
Fusarium wilt; GGE; MABC; MTSI; GENOTYPE; BIPLOT; YIELD; WHEAT;
D O I
10.56093/ijas.v92i8.122599
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
Fusarium wilt (Fusarium arysporum f sp. ciceris) is a major disease that can cause up to 90% yield loss in Chickpea (Cicer arietinum L.). The presence of 8 physiological races of Foc (0, 1A, 1B/C, 2, 3, 4, 5 and 6) makes it a complex task in the development of disease-resistant cultivar. Thus, Pyramiding of Foc races 1, 2, 3, 4 and 5 was undertaken using WR 315 as donor and Pusa 372 as recurrent parent through Marker assisted backcross (MABC) breeding approach. A total of 20 genotypes, including 17 MABC derived lines of Pusa 372 x WR 315, susceptible parent (Pusa 372), resistant check (WR 315) and national check (JG 16) were used. Multi-location testing of advanced MABC lines at 4 different regions (Amla, Badnapur, Sehore, IARI-New Delhi) was carried out using randomised block design (RBD) in two replications during 2020-21 winter (rabi) season. Usually, multi environment testing is performed involving a single trait, which provides lower reliability in selection of lines, compared to multi-trait analysis. The present study identifies highly stable Fusarium wilt resistant lines with higher yield advantage using MTSI (Multi trait stability index) and GGE (Genotype main effect and genotype x environment interaction) biplot methodology. From GGE biplot analyses the PC1 explains 84.97% and PC2 explains 8.96% of variability. MTSI results revealed that genotype (G) 1, 4 and 3 were stable for the multiple characters studied. But, based on GGE-mean stability value G 11, 12 and 3 were identified for higher yield and better stability values. Based on MTSI and GGE, G 3 may be considered as a stable line for multiple traits including yield superiority.
引用
收藏
页码:1005 / 1009
页数:5
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