Quantifiable deliverables: For the Consortium

Quantifiable deliverables: For the Consortium

A. Scientific

Moisture stress, temperature, salinity and anoxia tolerance: Microbes

S.No.	Activity	I Year		II Year		III Year
		Deliverables	Output	Deliverables	Output	Deliverables	Output	Outcome
1.	Selection of different extreme environments for survey and collection of soil, water and sediment samples. The sites proposed to be surveyed are with regards to extreme conditions of a) Salinity/Sodicity/Acidity b) Moisture c) Temperature d) Submergence	Sample collection from selected extreme environments	Soil, water, sediment samples	Sample collection from selected extreme environments	Soil, water, sediment samples
2.	Analysis of diversity of predominant genera from various extreme environments and sequencing of rDNA genes for identification of selected isolates/strains.	Isolation of microbes/fungi/phytoplankton & zooplankton resistant to abiotic stress	Information on microbes/fungi/phytoplankton & zooplankton resistant to abiotic stress tolerance	Isolation of microbes/fungi/phytoplankton & zooplankton resistant to abiotic stress	Information on microbes/fungi/phytoplankton & zooplankton resistant to abiotic stress tolerance			*Information on microbes/fungi/phytoplankton & zooplankton resistant to abiotic stress tolerance* *Publication*
3.	Specific primers for known genes will be used in PCR to identify and isolate candidate genes from microbes	Isolation and identification of genes responsible for abiotic stress in microbes/fungi/phytoplankton & zooplankton	Candidate genes for abiotic stress tolerance	Isolation and identification of genes responsible for abiotic stress in microbes	Candidate genes for abiotic stress tolerance			*Candidate genes for development of transgenic plants.* *Publication*
4.	Construction of genomic library for suitable vector and screening of clones for identification of novel genes			Novel genes from abiotic stress tolerance from microbes	Abiotic stress tolerance from microbes	Novel genes from abiotic stress tolerance from microbes	Abiotic stress tolerance from microbes	*Candidate gene for development of transgenic plants.* *Publication*
5.	Transposon mutagenesis of the selected strains for screening and isolation of the mutants of the interest and identification of the genes disrupted by transposon insertion in the mutants by cloning and sequence analysis of transposon flanking sequences			Microbe sensitive to abiotic stress	Functional validation of novel genes for abiotic stress	Microbe sensitive to abiotic stress	Functional validation of novel genes for abiotic stress	*Candidate gene for development of transgenic plants.* *Publication. Final report submission*
6.	Metagenomic library construction and the sequence based screening for novel genes for candidate traits.	Isolation of abiotic stress tolerant genes from unculturable microbes.	Information about stress resistant genes from unculturable microbes.	Isolation of abiotic stress tolerant genes from unculturable microbes.	Information about stress resistant genes from unculturable microbes.	Isolation of abiotic stress tolerant genes from unculturable microbes.	Information about stress resistant genes from unculturable microbes.	*Candidate gene for development of transgenic plants.* *Publication. Final report submission*
7.	Bioinformatics analysis of the identified gene and the encoded proteins and putative biochemical pathways responsible for the stress tolerance	Analysis of sequence data through software	Authentication of sequence information	Analysis of sequence data through software	Authentication of sequence information	Analysis of sequence data through software	Authentication of sequence information	*Submission of gene sequences*

Moisture stress, temperature, salinity, acidity and submergence tolerance: Rice

S.No	Activity	II Year		III Year
S.No	Activity	Deliverables	Outputs	Deliverables	Output	Outcome
1.	Identification of core collection of rice that would represent total diversity	Core collection of rice	Designation of core in rice			*Enhanced utilization of germplasm*
2.	Identification of mini-core collection of rice.	Characterization of core collections. mini-core collection of rice	Diversity in core. Designation of mini-core in rice			*Value addition to germplasm*
3.	Generation of phenotypic information for the mini-core collection			Validation of mini-core collection. Characterization of mini-core for target traits	National mini-core collection in rice. Accessions with specific traits	*enhanced utilization of germplasm, Donor accessions for target traits*
4.	Identification of candidate genes through differential expression analysis for selected traits			A set of differentially expressing genes in rice under stress	Candidate genes for stress tolerance	*Candidate genes based marker for stress tolerance*
5.	Selection of SNPs and SSRs for whole genome and candidate gene based genotyping			SSR and SNP markers well distributed in the genome	Markers for whole genome genotyping assay	*Robust genotypic information based on sequence based markers*
6.	Generation of SSR and SNP database for the mini-core collection			Molecular profiles of core accessions	Genotypic information for the whole genome	*Protection of value added germplasm*
7.	Allele mining for the selected known/candidate genes			Finding new allelic variants in germplasm	Understanding haplotype structure in selected gene region and their relations with target traits	*New allele for stress tolerance for genetic improvement of rice*
8.	Association mapping and identification of new genes/QTLs for the target traits			Identification of accessions and marker tags	Identification of genes for target traits	*New genes for deployment in rice breeding*
9.	Market assisted backcross transfer of useful genes/QTLs			Transfer of identified gene/QTLs for stress tolerance to desirable agronomic backgrounds	New lines with stress tolerance	*Genetic improvement of rice for stress tolerance*
10.	Fine mapping of the selected QTLs			Finding markers physically and genetically closer to the mapped genes	Marker tags for MAS	*Tightly linked/gene-based markers for traits*
11.	Cloning and characterization of orthologs of new/candidate genes from bajra			Identifying orthologs of stress tolerance genes/candidates in bajra	New set of drought tolerance genes from bajra	*Stress tolerant orthologs for genetic improvement of rice*

Moisture stress tolerance: Maize

S.No.	Activity	I Year		II Year		III Year
		Deliverables	Output	Deliverables	Output	Deliverables	Output	Outcome
1.	Collection of relevant germplasm for the target traits; including targeted exploration in the country	A core panel of atleast 300 genotypes for the each of the targeted trait, including atleast 50 landraces accessions from relevant species	Assembly of valuable genetic resources for basic, strategic and applied research	Sample collection from selected extreme environments	Soil, water, sediment samples			*Documentation of genetic resources relevant for improving drought stress tolerance*
2.	Phenotyping of ~300 genotypes under drought stress at multiple locations (New Delhi; uchani; Hawalbagh)	Precise phenotyping of at least 100 genotypes per year for drought stress at three locations based on appropriate morph-physiological traits	Identification of scores of tolerance to drought stress suitable to different agro-ecologists	Precise phenotyping of at least 100 genotypes per year for drought stress at three locations based on appropriate morph-physiological traits	Identification of scores of tolerance to drought stress suitable to different agro-ecologists	Precise phenotyping for drought stress locations based on appropriate morph-physiological traits	Identification of scores of tolerance to drought stress suitable to different agro-ecologists	*Cataloguing of drought stress tolerant maize germplasm (inbreds and landraces) relevant to the Indian conditions.*
3.	Intensive molecular characterization of 96 selected genotypes using genomic and genic SSRs and SNP markers					Molecular profiling of the 96 selected genotypes using genomic and genic SSRs and SNP markers	Profiles and database based on genomic and genic SSR and SNPs on phenotypically contrasting genotypes	*Molecular database of a core set of drought tolerant maize genotypes*
4.	Allele mining for 10 selected genes associated with drought stress tolerance					Primer design, sequence analysis and/or SNP analysis of selected genotypes for 10 candidate genes associated with drought stress tolerance in maize	Identification of specific allele variants in candidate genes for drought stress tolerance	*Understanding of allelic variation for key candidate genes influencing drought stress tolerance*
5.	SNP and haplotype pattern mining based on sequence analyses of candidate genes					Computational analysis of sequence data for SNP and haplotype pattern mining in candidate genes	Detection of a series of SNPs and haplotype in candidate genes	*Basic understanding of linkage disequilibrium, SNP and haplotype variation for important genes influencing drought stress tolerance*
6.	Association genetic analysis for identification of marker-trait associations					Integrated analysis of genotypic and phenotypic datasets for the target trait using association mapping	A set of SSR and SNP markers associated with drought stress tolerance, potentially useful for MAS	*Genes and molecular markers that can be potentially deployed in molecular breeding for drought stress tolerance*

Excess water stress tolerance: Maize

S.No.	Activity	I Year		II Year		III Year
		Deliverables	Output	Deliverables	Output	Deliverables	Output	Outcome
1.	Collection of relevant germplasm for the target traits; including targeted exploration in the country	A core panel of atleast 300 genotypes for the each of the targeted trait, including atleast 50 landraces accessions from relevant species	Assembly of valuable genetic resources for basic, strategic and applied research					*Documentation of genetic resources relevant for improving drought stress tolerance*
2.	Phenotyping of ~300 genotypes under drought stress at multiple locations (New Delhi; Uchani; Hawalbagh)	Precise phenotyping of at least 100 genotypes per year for drought stress at three locations based on appropriate morph-physiological traits	Identification of scores of tolerance to drought stress suitable to different agro-ecologists	Precise phenotyping of at least 100 genotypes per year for drought stress at three locations based on appropriate morph-physiological traits	Identification of scores of tolerance to drought stress suitable to different agro-ecologists	Precise phenotyping for drought stress locations based on appropriate morph-physiological traits	Identification of scores of tolerance to drought stress suitable to different agro-ecologists	*Cataloguing of drought stress tolerant maize germplasm (inbreds and landraces) relevant to the Indian conditions.*
3.	Intensive molecular characterization of 96 selected genotypes using genomic and genic SSRs and SNP markers					Molecular profiling of the 96 selected genotypes using genomic and genic SSRs and SNP markers	Profiles and database based on genomic and genic SSR and SNPs on phenotypically contrasting genotypes	*Molecular database of a core set of drought tolerant maize genotypes*
4.	Transcriptome profiling for excess water stress tolerance and identification of differentially expressed genes					Microarray analysis of excess water using selected highly contrasting genotypes based on experiments at multiple locations.	Identification of significant differentially expressed genes under excess water stress in the Indian context	*Detection of important genes and pathways associated with excess water stress tolerance in crop plants*
5.	Allele mining for 6 selected candidate genes associated with excess water stress tolerance					Primer design, sequence analysis and/or SNP analysis of selected genotypes for 6 candidate genes associated with excess water stress tolerance	Identification of specific allelic variation in candidate genes for excess water stress tolerance	*Understanding of allelic variation for key candidate genes influencing excess water stress tolerance*
6.	SNP and haplotype pattern mining based on sequence analyses of candidate genes					Computational analysis of sequence data for SNP and haplotype pattern mining in candidate genes	Detection of a series of SNPs and haplotypes in candidate genes	*Basic understanding of linkage disequilibrium, SNP and haplotype variations for important genes influencing excess water stress tolerance*
7.	Association genetic analysis for identification of marker-trait associations					Integrated analysis of genotypic and phenotypic datasets for the target trait using association mapping	A set of SSR and SNP marker associated with excess water stress tolerance, potentially useful for MAS	*Genes and molecular markers that can be potentially deployed in molecular breeding for influencing excess water stress tolerance*

Moisture Stress tolerance: Sorghum

S. No.	Activity	II Year		III Year
		Deliverables	Output	Deliverables	Output	Outcome
1.	Validation of the resistant and susceptible genotypes or Sorghum	Core collection of Sorghum genotypes	Designation of core in Sorghum			*Enhanced utilization of germplasm*
2.	Identification of candidate genes through differential expression analysis for drought traits	Precise phenotyping of at least 100 genotypes per year for drought stress at three locations based on appropriate morph-physiological traits	Identification of scores of tolerance to drought stress suitable to different agro-ecologists	A set of differentially expressing genes in Sorghum under water stress	Candidate genes for stress tolerance	*Candidate gene based new alleles and markers for stress tolerance*

Moisture Stress tolerance : Cucurbitis, Lathyrus and Ziziphus

S. No.	Activity	II Year		III Year
		Deliverables	Output	Deliverables	Output	Outcome
1.	Identification of core and reference collection of target crops using eco-geographical data.	Core collection of cucumber (300 acc.) and muskmelon (200 acc.)	Designation of cores in cucumber and melons			*Enhanced utilization of germplasm*
2.	Multi-location evaluation of the core collection foe well defined descriptors			Characterization of core collections of 15 morphological traits	Diversity in core	*Value addition to germplasm*
3.	Refinement of core collection based on evaluation data and additional information on genetic diversity			Validation of core collection	National core collection in cucumber and melons	*Enhanced utilization of germplasm*
4.	Phenotyping of the core collection for target traits under standard and controlled conditions in three locations.			Characterization of core for target traits for WUE, moisture stress, heat tolerance, chlorophyll content etc.	Accessions with specific traits	*Enhanced utilization of germplasm*
5.	Genotyping of core collection using AFLP, SSR, and SNP markers selected to represent the whole genome.				Molecular profiles of core accessions	*Protection of value added germplasm*
6.	Association analysis to identify genes for target traits for identification of accessions and marker tags				Identification of accession and marker tags	*Donor accession for target traits*
7.	Fine mapping of selected genes for use in marker assisted transfer of the traits				Tagging of target genes	*Marker tags for MAS*
8.	Cross validation of results among the partners for specific trait identified				Identification of genes and allele target traits.	*Allelic variation for deployment*
9.	Biochemical evaluation for quality traits to define the variations identified				Donor for quality traits	*Allelic variants for quality traits*

Heat tolerance: Moth bean

S. No.	Activity	II Year		III Year
		Deliverables	Output	Deliverables	Output	Outcome
1.	Analysis of eco-geographical data and identification of core collection in moth bean including wild species	Core collection of moth bean (350 acc.)	Designation of cores in moth beans			*Enhanced utilization of germplasm*
2.	Screening and classification of core collection for heat tolerance			Characterization of core collections	Diversity in core	*Value addition to germplasm*
3.	Isolation cloning of genes for heat tolerance based on homology			Identification and cloning of genes for heat tolerance	A set of cloned genes involved in heat tolerance mechanism from moth bean	*Enhanced utilization of germplasm*
4.	Validation of isolated genes through transformation in moth bean/Arabidopsis			Functional validation	A system to study genes further through expression analysis	*Enhanced utilization of germplasm*
5.	Identification of candidate genes through differential expression profiling			Information on heat stress induced genes	Information on candidate genes related to heat tolerance	*Protection of value added germplasm*
6.	Allele mining for the selected genes			Identification of elite germplasm lines	Novel alleles of genes for the target traits	*Donor accessions for target traits*

Heat and Cold tolerance: Camel and Goat

S.No.	Activity	I Year		II Year		III Year
		Deliverables	Output	Deliverables	Output	Deliverables	Output	Outcome
7.	Establishment of metabolic and biochemical parameters in goats	The various BMR parameters of goat	Basal metabolic and biochemical parameters profile in goats various climatic conditions	The various BMR parameters of goats under various climatic conditions shall be records.	Basal metabolic and biochemical parameters profiles in goats various climatic conditions.	The various BMR parameters of goats under various climatic conditions.	Basal metabolic and biochemical parameters profile in goats various climatic conditions.	*BMR profile and various biochemical parameters of goats under normal and various climatic conditions established*
8.	Establishment of metabolic and biochemical parameters in goats under artificially induced stress conditions	The various BMR parameters of goats under artificially induced stress conditions shall be recorded.	Basal metabolic and biochemical parameter profile in goats artificially induced stress conditions,	The various BMR parameters of goat under various artificially induced conditions shall be recorded.	Basal metabolic and biochemical parameters profile in goats various artificially induced stress conditions	The various BMR parameters of goat under various artificially induced conditions shall be recorded.	Basal metabolic and biochemical parameters profile in goats various artificially induced stress conditions	*BMR profiles and various biochemical parameters of goats under artificially induced stress conditions established.*
9.	Establishment of metabolic and biochemical parameters in Bactrian camel	The various BMR and biochemical parameters of Bactrian camel under normal conditions shall be recorded.	Basal metabolic and biochemical parameter profile in Bactrian camel various climatic conditions	The various BMR and biochemical parameters of Bactrian camel under various climatic conditions shall be recorded	Basal metabolic and biochemical parameters profile Bactrian camel various climatic conditions	The various BMR and biochemical parameters of Bactrian camel under various climatic conditions shall be recorded	Basal metabolic and biochemical parameters profile Bactrian camel various climatic conditions	*BMR profiles and various biochemical parameters of goats under artificially induced stress conditions established.*
10.	Establishment of metabolic and biochemical parameters in Dromedarian camel	The various BMR and biochemical parameters of Dromedarian camel under normal conditions shall be recorded	Basal metabolic and biochemical parameter profile in Dromedarian camel various climatic conditions	The various BMR and biochemical parameters of Dromedarian camel under various climatic conditions shall be recorded	Basal metabolic and biochemical parameters profile Dromedarian camel various climatic conditions	The various BMR and biochemical parameters of Dromedarian camel under various climatic conditions shall be recorded	Basal metabolic and biochemical parameters profile Dromedarian camel various climatic conditions	*BMR profiles and various biochemical parameters of goats under artificially induced stress conditions established.*
11.	Identification of variations in camel and goat for various candidate genes associated with thermoregulatory mechanisms in mammals in different geographical locations having extremes of temperature variations	Variations shall be recorded among the goats and camel species of different agro-climatic regions for the candidate genes associated with thermoregulatory mechanism	SNPs in the candidate genes	Genotypes of various goats and camel species under different agro-climatic regions	Population structure of goats and camel species based on the SNPs for the candidate genes involved in the thermoregulatory mechanisms			*Goat and camel specific SNPs associated with adaptive trait and population structure of Indian goat and camel species.*
12.	Transcriptome analysis of goats and camels	mRNA profile of camel and goat shall be carried out.	Transcriptome of goat and camel revealed.	mRNA quantification of goat and camel under various stress conditions	Changed profile of mRNA as an effect of stress response	Transcriptome analysis of goats and camels under various stress conditions	Under and over-expression of genes related to stress tolerance	*Transcriptome profile for camel and goat established.*

Salinity tolerance: Fishes

S. No.	Activity	II Year		III Year
		Deliverables	Output	Deliverables	Output	Outcome
1. Identification and characterization of genes for salinity stress in giant freshwater prawns. M. rosenbergii and Penaeus monodon	Construction of cDNA libraries by SSH and normalized techniques from wild and accimilized individuals. Conversion of normalizes cDNAs to Illumina GA-sequencing ready libraries followed by IIlumina GA (Solexa) Sequencing, Assembly sequences for custom bioinformatics. Cloning normalized cDNA into pGEMT-easy vector. Sequencing of full length cDNA by RACE. Estimation of transcripts levels by Real-Time PCR Report writing	SSH and normalized cDNA libraries	Sequences of genes expressed in response to saline stress	Annotated sequence data and clones	Knowledge of genes expressed in response to saline stress and their clones	*Identification of novel genes responsive to saline stress from M. rosenbergii and P. monodon*
2. Functional characterization of genes identified in P. monodon	*Complete sequencing of three genes over-expressed in P. monodon* acclimatized to 35 ppt and 1 gene over-expressed in 0 ppt. using RACE. Transcript levels at different salinities in P. monodon gill and muscle tissue using Real Time PCR Cloning of cDNA sequences an a constitutive His-tag expression vector and over-expression in a eukaryotic cell line. Purification of the His-tagged protein using Ni column and raising antibodies in rabbit. Sub-cellular localization of the proteins in gill and muscle using antibodies and tracing expression at different salinities.**	Sequences of four genes known to be expressed in response to saline stress in P. monodon	Full-length cDNA clones of the genes and knowledge of their involvement in saline stress in P. monodon	Purified proteins that are important for saline adaptation Final report/Publications	Candidate gene based new alleles and markers for stress tolerance	*Functional characterization and validation of four novel genes responsive to saline stress in P. monodon*

Cold tolerance: Fish (Trout)

S.No.	Activity	I Year		II Year		III Year
		Deliverables	Output	Deliverables	Output	Deliverables	Output	Outcome
1.	Collection of fish samples from different high altitude colder environments in J&K, Himachal Pradesh and Uttarakhand	Collection of fish samples from J&K, Himachal Pradesh and Uttarakhand	Samples from different sites will be available for gene prospecting					*New trout sources for cold tolerance genes*
2.	Molecular identification and sequence variation between the exotic and indigenous trout species for cold tolerant genes	PCR amplification for cold tolerant genes	Identified of amplified cold tolerant genes					*Identification of amplified cold tolerant genes from different part of countries*
3.	Construction of genomic library in suitable vector and screening of clones for identification of novel genes			Development of cDNA libraries	cDNA libraries			*cDNA libraries for target gene isolation for cold tolerance*
4.	Validation of gene expression					Validated expression patterns	A set of genes showing specific expression in trout under cold conditions	*Genes for cold tolerance from trout*

Anoxia Stress tolerance : Fish (catfish)

S. No.	Activity	II Year
		Deliverables	Output	Outcome
1.	Identification and characterization for submergence resistance I Fishes, Clarias batrachus and Channa striatus	Characterization of genes involved in anoxia stress tolerance	Identification and quantification of differential gene regulation (up/down regulation)	*Genome resources for allele mining and genetic manipulation for anoxia resistance*
2.	Development of tissue specific ESTs through Transcriptime analysis in Fishes, Clarias batrachus and Channa sriatus	Total set of expressed genes in different tissues	Understanding of tissue specificity gene expressions	*A detailed database of expression profile in different tissues in Fishes, to be used as reference for the future studies.*

Statistical and Computational Genomics:

S. No.	Activity	I Year		II Year		III Year
		Deliverables	Output	Deliverables	Output	Deliverables	Output
1.	Statistical and computational analysis of genomic data generated from plants, animals, and fish genetic resources	Extending statistical and computational analysis support to scientists working in genomics.	Development of centralized laboratory with software for analyzing high throughput genome sequence data	Extending statistical and computational analysis high throughput genome sequence data	Whole genome association analysis, Transmission disequilibrium testing, Microarray data analysis, etc, can be done at the laboratory	Completion of analyzing genome data generated under the consortiums	Provision of full fledge statistical and computational support to analyze genomic data.
2.	Development of algorithms for identified of features of splice site efficiency through comparative genomics	Development of databases on 5’ splice site motifs across species	Development of centralized splice rack	Characterization of features of splice site regions across species through algorithmic approach	Users would be provided with tools to identify splice site features across the species	Tested and validated algorithms would be converted to software for easy usage	Assessment of splice site efficiency
3.	Training scientific personnel in the fields of statistical genomics and Bioinformatics	Completion of two training programmes with 20 participants each	Capacity building	Composition of two training programmes with 20 participants each		Composition of two training programmes with 20 participants each	Capacity building in statistical genomics and Bioinformatics

B. Physical

I. Procurement of goods/services/equipments/consultancy etc.

Objectives	Deliverables at the end of the 1st year	………………………………..	Deliverables at the end of the final year	Final Output
Generation of genomic resources base to facilitate gene prospecting and allele mining Prospecting for new genes and alleles for abiotic stress tolerance (moisture stress, salinity and sodicity, soil acidity, adverse temperature and submergence/anoxia) Functional validation of the identified genes in model plant systems. Use of the identified genes/allele in genetic enhancement of target species	Procurement of equipments and phenotying facilities		Establishment of high throughput genotyping and phenotyping facilities	Efficient phenotyping and genotyping of germplasm

II Hiring Manpower

Objectives

Deliverables at the end of the 1^st year

………………………………..

Deliverables at the end of the final year

Final Output

1. Generation of genomic resource base to facilitate gene prospecting and allele mining

2. Prospecting for new genes and allele for abiotic stress tolerance (moisture stress, salinity and sodicity, soil acidity, adverse temperature and submergence/anoxia)

3. Functional validation of the identified genes in model plant systems

4. Use of the identified genes/allele in genetic enhancements of target species

Recruitment of SRF/RAs

Trained manpower for allele mining

Human resource development in allele mining and bioprospecting

Deliverables in the above table are the defined periodical outputs in the achieving milestones and the final output

C. Financial

I Use of funds

	Milestone End of the year 1 (%)	Deliverables End of the year 1 (Rs in Lakhs)	Milestone End of the year 2 (%)	Deliverables End of the year 2 (Rs in Lakhs)	Milestone End of the year 3 (%)	Deliverables End of the year 3 (Rs in Lakhs)	Milestone End of the final year (%)	Deliverables End of the Final year (Rs in Lakh)	*Expressed Output (% utilization)*

Item-wise
Renovation/New works	100	270.50	-	-	-	-	-	-	100
Equipment, plant & Machinery	100	1652.29	-	-	-	-	-	-	100
Organizing Training/ Workshop	0.00	0.00	66.67	10.00	33.33	5.00	1.00	15.00	100
Foreign Training and visit	55.78	55.50	41.71	41.50	2.51	2.5	100	99.50	100
TA/DA	33.33	24.217	33.33	34.217	33.33	24.217	100	72.65	100
Review Workshop/Meetings	38.36	6.33	30.81	5.083	30.81	5.083	100	16.50	100
Contractual staff (SRFs/RA)	33.33	159.095	33.33	159.095	33.33	159.095	100	477.284	100
Operational Contingencies	35.79	1040.07	37.09	1077.84	27.12	787.97	100	2905.88	100
*Institutional Charges*	35.78	72.868	37.02	75.382	27.20	55.388	100	203.639	100

II Audit completion (second year onwards): give dates by which audit report of the respective previous years accounts will be ready):

For all institutes the financial audit will be completed by June in every financial year

9. Please give (third year of the sub-project onwards) the expected outcomes, for the project as a whole here and for each institutions separately as Annexure 7 in the following format.

For the Consortium

Outcome Indicator	First Year	Second Year	Third Year
1. Outstanding scientific problems solved	· Identification of core collection · Confirmation of stress tolerant genotypes	· Characterized genetic stocks · cDNA libraries of expressed sequences · Value addition to the genetic resources	· New genetic stocks for improvement of target species · Functional genes for stress tolerance
2. New methodology developed and the scientific benefits it provides	Development of procedure for evaluation of abiotic stress tolerance	Screening techniques for stress tolerance Characterized genetic stocks New SSRs, SNPs and other markers	· Association mapping technique · Half sib technique · Screening techniques · Core/reference collection · Facility for phenotypic stress tolerance · High throughput genotypic facility
3. New frontier technology developed (including conceptually novel varieties, breeds, strains etc.)		· Haplotype structure · Marker tags for tolerance to abiotic stresses in the target species	· Breeding lines, genetic stocks; new allelic variations in different target species · Germplasm with new allelic variations for stress tolerance
4. New knowledge and skills acquired by the scientists		· Genetic control of target traits · Expertise in screening and value addition to genetic resources in diverse crops	· Skills for exploitation of germplasm in crop improvement · Structure of populations · Distribution of allelic variation · Trained human resources in bioprospecting and allele mining
5. Patents taken/applied for			New genetic stocks in the crops will be registered New genes, alleles and technology to protected
6. Patents sold/ royalty arrangements made			To be negotiated