Targeting test environments and rust-resistant genotypes in lentils (Lens culinaris) by using heritability-adjusted biplot analysis
A. K. Parihar
A J , Ashwani K. Basandrai B , K. P. S. Kushwaha C , S. Chandra D , K. D. Singh E , R. S. Bal F , D. Saxena G , Deepak Singh H and Sanjeev Gupta I J
+ Author Affiliations
- Author Affiliations
A Crop Improvement Division, ICAR–Indian Institute of Pulses Research, Kanpur 208 024, Uttar Pradesh, India.
B CSK HPKV Hill Agriculture and Extension Centre, Dhaulakuan, Sirmaur 176 047, Himachal Pradesh, India.
C G. B. Pant University of Agriculture and Technology, Pantnagar 263 145, Uttarakhand, India.
D Narendra Deva University of Agriculture and Technology, Kumarganj, Faizabad 224 229, Uttar Pradesh, India.
E Regional Agricultural Research Station, Assam Agricultural University, Shillongani 782 002, Navgaon, Assam, India.
F Regional Research Centre, Punjab Agriculture University, Gurdaspur 143 521, Ludhiana, Punjab, India.
G Chandrashekhar Azad University of Agriculture and Technology, Kanpur 208 002, Uttar Pradesh, India.
H Indian Agricultural Statistics Research Institute (IASRI), New Delhi 110 012, India.
I All India Coordinated Research Project (AICRP) on MuLLaRP, ICAR–Indian Institute of Pulses Research, Kanpur 208 024, Uttar Pradesh, India.
J Corresponding authors. Email: ashoka.parihar@gmail.com; saniipr@rediffmail.com
Crop and Pasture Science 69(11) 1113-1125 https://doi.org/10.1071/CP18259
Submitted: 5 June 2018 Accepted: 10 September 2018 Published: 30 October 2018
Abstract
Lentil rust incited by the fungus Uromyces viciae-fabae is a major impedance to lentil (Lens culinaris Medik.) production globally. Host-plant resistance is the most reliable, efficient and viable strategy among the various approaches to control this disease. In this study, 26 lentil genotypes comprising advanced breeding lines and released varieties along with a susceptible check were evaluated consecutively for rust resistance under natural incidence for two years and at five test locations in India. A heritability-adjusted genotype main effect plus genotype × environment interaction (HA-GGE) biplot program was used to analyse disease-severity data. The results revealed that, among the interactive factors, the GE interaction had the greatest impact (27.81%), whereas environment and genotype showed lower effects of 17.2% and 20.98%, respectively. The high GE variation made possible the evaluation of the genotypes at different test locations. The HA-GGE biplot method identified two sites (Gurdaspur and Pantnagar) as the ideal test environments in this study, with high efficiency for selection of durable and rust-resistant genotypes, whereas two other sites (Kanpur and Faizabad) were the least desirable test environments. In addition, the HA-GGE biplot analysis identified three distinct mega-environments for rust severity in India. Furthermore, the analysis identified three genotypes, DPL 62, PL 165 and PL 157, as best performing and durable for rust resistance in this study. The HA-GGE biplot analysis recognised the best test environments, restructured the ecological zones for lentil-rust testing, and identified stable sources of resistance for lentil rust disease, under multi-location and multi-year trials.
Additional keywords: disease resistance, ideal environments.
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