Multivariate Analysis in Wheat (Triticum aestivum L.) for Yield and Attributing Traits under Soil Salinity and Alkalinity in Haryana

Divya Phougat *

Wheat and Barley Section, Department of Genetics and Plant Breeding, CCS Haryana Agricultural University, Hisar-125004, India.

Rajender Parshad Saharan

Maharishi Markandeshwar (DU), Mullana, Ambala-133207, India.

Ishwar Singh Panwar

Wheat and Barley Section, Department of Genetics and Plant Breeding, CCS Haryana Agricultural University, Hisar-125004, India.

Ajay Verma

ICAR-Indian Institute of Wheat and Barley Research, Karnal, Haryana-132001, India.

Sheetal Choudhary

Computer Section, College of Basic Sciences and Humanities, CCS Haryana Agricultural University, Hisar-125004, India.

*Author to whom correspondence should be addressed.


Abstract

Salt-affected soils could be used by improving and developing salt-tolerant genotypes depending upon the amount of genetic variation and salt stress response of adapted and donor sources of wheat. Salt stress affects 20% of global cultivable land and is increasing continuously owing to the change in climate and anthropogenic activities. Globally, saline soils cover 3.1% i.e. 397 mha of the total land area and around 6.74 mha area of India is affected due to salinity. Salinity stress negatively affects the growth and development of wheat leading to low grain yield and quality. A station varietal trial was conducted to identify salt-tolerant genotypes, wherein 24 genotypes including 4 checks, namely, KRL 19, WH 157, KRL 210 and KRL 283 were evaluated in 6 replications in 4.0 m x 1.20 m in RBD under natural saline patch (pH 8.5, ECe 4.2 dsm-1) at Research area of Wheat and Barley Section, Department of Genetics and Plant Breeding and Department of Soil Science (pH 8.5, ECe 4.5 dsm-1), CCS HAU, Hisar during Rabi 2021-22. Observations were recorded for germination (%), days to heading, days to maturity, plant height (cm), tillers per meter row, 1000-grain weight (g), grain yield per plot (g/plot) and hectoliter weight (kg/hl). High positive correlation has been observed for 1000-GW (g) with GY/P (g/plot), PH (cm) with hectoliter weight (kg/hl). Non-significant correlation was observed between days to heading and germination with plant height and hectoliter weight. Clustering of genotypes based on Ward’s Euclidean method was done so that identical genotypes may grouped together; 24 genotypes were grouped into three distinct clusters. Hectolitre weight (kg/hl) expressed as point of dissection of studied traits as GY/P (g/plot), 1000-GW (g), DM and PH (cm) falls at one side and germination (%), DH and T/meter row lies at another side. Entries, namely, WH 1313 (59.6 q/ha), WH 1306 (54.9 q/ha) and WH 1309 (52.9 q/ha) performed better and found significantly superior to the best check WH 157 (43.5+8.2 q/ha) at Department of Genetics and Plant Breeding. P 13582 (61.6 q/ha), P 13650 (62.1 q/ha) performed better and found significantly superior to best check KRL 283 (46.4+13.7 q/ha) at Department of Soil Sciences. Identification of wheat genotypes based on simultaneous selection among contributing traits will improve grain yield. Stable and promising genotypes may be included in breeding program aimed to develop salt tolerant varieties at state and national level to ensure nutritional food security.

Keywords: Abiotic stress, G x t biplot, multivariate, yield and attributing traits, salinity and alkalinity, wheat


How to Cite

Phougat , D., Saharan , R. P., Panwar , I. S., Verma , A., & Choudhary , S. (2023). Multivariate Analysis in Wheat (Triticum aestivum L.) for Yield and Attributing Traits under Soil Salinity and Alkalinity in Haryana. International Journal of Environment and Climate Change, 13(10), 10–17. https://doi.org/10.9734/ijecc/2023/v13i102613

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