Interpretation of genotype x environment interaction and stability analysis for grain yield of pigeon pea (Cajanus cajan L.)

Fourteen pigeon pea (Cajanus cajan L.) genotypes were evaluated for their yield performance at two locations during kharif season of 2009-10 and 2010-11. A significant genotypic difference for yield character was observed. Highly significant genotype–environment interaction indicated differential response of the genotypes to the environmental changes. The stability analysis showed significance of linear component of variation for grain yield. The genotypes TJT-501 (1728.667Kg/Ha) and GRG-2009-3 (1570.000 Kg/Ha) exhibited low meanperformance along with regression value nearer to unity (bi=1) and non significant deviation from regression (S2 di=0) indicating, the high stability and wider adaptability across the different environments. The genotype ICPH-2671 (3134.833 Kg/Ha) exhibited highest mean value and regression value (bi>1) and non significant deviation (S2 di < 0). But genotypes JKM-197 (3072.667 Kg/ha), GRG-2009 (29993.167 Kg/ha), TS-3R (2823.333 Kg / Ha) and ICP-8863 (2740.417 Kg/Ha) exhibited high mean performance but higher regression value (bi>1) and significant deviation (S2 di < 0) value indicating adapted for high performance environments showing these genotypes are sensitive to environments and give maximum yield when inputs are not limited

Multi-environment testing for reduced incidence of peanut bud necrosis disease in India.

Forty groundnut genotypes were tested for field resistance (reduced incidence) to peanut bud necrosis disease during 3 years at four locations in India. The 40 genotypes were grouped into seven clusters using the average linkage cluster analysis. Clusters 1 and 2 contained highly susceptible genotypes (JL 24 and TMV 2). Susceptible to moderately susceptible genotypes formed clusters 3,4, and 5. Cluster 6 represented 29 fairly resistant genotypes, and cluster 7 had the most resistant genotypes [ICGV 86430, 2192- 8(50), and2169-5(9)]. Genotype x environment interaction variance was significant but small. The field resistance of the genotypes studied was equally effective in all environments. Selection in any of these environments is possible, but is more effective in environments which are favorable for disease development

Genomics-assisted breeding for boosting crop improvement in pigeonpea (Cajanus cajan)

Pigeonpea is an important pulse crop grown predominantly in the tropical and sub-tropical regions of the world. Although pigeonpea growing area has considerably increased, yield has remained stagnant for the last six decades mainly due to the exposure of the crop to various biotic and abiotic constraints. In addition, low level of genetic variability and limited genomic resources have been serious impediments to pigeonpea crop improvement through modern breeding approaches. In recent years, however, due to the availability of next generation sequencing and high-throughput genotyping technologies, the scenario has changed tremendously. The reduced sequencing costs resulting in the decoding of the pigeonpea genome has led to the development of various genomic resources including molecular markers, transcript sequences and comprehensive genetic maps. Mapping of some important traits including resistance to Fusarium wilt and sterility mosaic disease, fertility restoration, determinacy with other agronomically important traits have paved the way for applying genomics-assisted breeding (GAB) through marker assisted selection as well as genomic selection (GS). This would accelerate the development and improvement of both varieties and hybrids in pigeonpea. Particularly for hybrid breeding programme, mitochondrial genomes of cytoplasmic male sterile (CMS) lines, maintainers and hybrids have been sequenced to identify genes responsible for cytoplasmic male sterility. Furthermore, several diagnostic molecular markers have been developed to assess the purity of commercial hybrids. In summary, pigeonpea has become a genomic resources-rich crop and efforts have already been initiated to integrate these resources in pigeonpea breeding

Fast forward genetic mapping provide candidate genes for resistance to fusarium wilt and sterility mosaic disease resistance in pigeonpea (Cajanus cajan L. Millsp.)

Fast forward genetic mapping combines with whole genome sequencing (WGS) and bulked segregant analysis (BSA) approach was used to identify the candidate genes for Fusarium wilt (FW) and sterility mosaic disease (SMD) resistance in pigeonepa. To map the targeted genomic regions, F7 RILs developed by crossing ICPL 20096 (R) × ICP 332 (S) and segregating for FW and SMD resistance were phenotyped at two different locations in India. Based on the phenotyping, 16 RILs in each category were selected for development of resistant (R-Bulk) and susceptible bulks (S-Bulk). These two bulks along with resistant parent (ICPL 20096) were re-sequenced and generated ~19GB of 250 bp pair-end data with ~15× genome coverage. WGS data generated from R- and S- Bulks were aligned with resistant parent. As a result a total of 35,877 SNPs with SNP index of ≥3 were identified. Out of 35,877 SNPs only 4,139 (11.54%) SNPs were found homozygous. Based on the SNP index (0 for R-Bulk and 1 for S-Bulk) and SNP substitution effect three significant SNPs including two on CcLG07 and one on CcLG11 affects a total of four candidate genes. Functional annotation of these four genes indicated their role to initiate defence mechanism against fungal and viral diseases

Abstracts of National Conference on Research and Developments in Material Processing, Modelling and Characterization 2020

This book presents the abstracts of the papers presented to the Online National Conference on Research and Developments in Material Processing, Modelling and Characterization 2020 (RDMPMC-2020) held on 26th and 27th August 2020 organized by the Department of Metallurgical and Materials Science in Association with the Department of Production and Industrial Engineering, National Institute of Technology Jamshedpur, Jharkhand, India. Conference Title: National Conference on Research and Developments in Material Processing, Modelling and Characterization 2020Conference Acronym: RDMPMC-2020Conference Date: 26–27 August 2020Conference Location: Online (Virtual Mode)Conference Organizer: Department of Metallurgical and Materials Engineering, National Institute of Technology JamshedpurCo-organizer: Department of Production and Industrial Engineering, National Institute of Technology Jamshedpur, Jharkhand, IndiaConference Sponsor: TEQIP-